Sökresultat för "Dagster"

Bravida Sverige AB

Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.   The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack   The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.   What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

SVERIGES RIKSBANK

Brinner du för att arbeta med data och dataprodukter och vill samtidigt arbeta i samhällets tjänst för en stark och säker ekonomi? Då är denna tjänst för dig! Vi söker dig som vill använda din tekniska kompetens för att fortsätta utveckla hur Riksbanken arbetar med data och analys med fokus på tillgångsförvaltning och betalningar.   VI ERBJUDER DIG Du får möjlighet att vidareutveckla din tekniska kompetens samtidigt som du fördjupar din kunskap inom Riksbankens verksamhetsområden så att vi utvecklar lösningar som är enkla att ta till sig och som gör nytta i verksamheten. Du möter utmaningar och blir en viktig del i vår förändringsresa - från att utveckla AI och automatisera dataflöden till att bygga robusta IT-lösningar, förstärka cybersäkerhet och bygga framtidens betalningssystem. Här löser du komplexa problem och utvecklas i en prestigelös miljö som präglas av samarbete, nyfikenhet, lärande och mod.   DET HÄR GÖR DU HOS OSS Riksbankens data och statistik över tillgångsförvaltning och betalningar består till stor del av mikro- och transaktionsdata. Betalningsstatistiken från finansiella institut är i en uppbyggnadsfas och det innebär att du är med och utformar dataflöden från grunden. Du arbetar i ett agilt team med helhetsansvar för sin data och sina dataprodukter. Konkret innebär rollen att du: - ansvarar för design och utveckling av dataflöden för bearbetning av stora och detaljerade datamängder - skriver automatiska tester för att kvalitetssäkra din kod och underhåller CI/CD-pipelines - utvecklar API:er för att tillgängliggöra data - använder marimo notebooks för att visualisera och tillgängliggöra resultat - bidrar till att utveckla hur Riksbanken använder AI i sin verksamhet   DITT TEAM Dina närmaste teammedlemmar utgörs av två av Riksbankens datateam där olika kompetenser arbetar sida vid sida och lär av varandra. Datateamen är en del av Riksbankens tvärfunktionella verksamhetsområde Data och Statistik och består av ett femtital medarbetare. Tillsammans med datateamen för du en nära dialog med relevanta policyavdelningar för att leverera data och dataprodukter som är användarvänliga, robusta och värdeskapande. Organisatoriskt kommer du att tillhöra avdelningen för marknader. https://www.riksbank.se/sv/om-riksbanken/organisation/ kan du läsa mer om Riksbankens organisation.    MER OM DIG Vi ser att du har: - en relevant akademisk examen (exempelvis inom data science, matematik, programmering eller liknande) - erfarenhet av att utveckla dataflöden i orkestreringsverktyg som Dagster eller liknande (Airflow, dbt, etc.) - minst 2 års erfarenhet av att koda i Python eller motsvarande programmeringsspråk - erfarenhet av att hantera och bearbeta stora datamängder - goda kunskaper i svenska och engelska, både skriftligt och muntligt    Utöver ovan grundkrav är det meriterande om du även har:  - erfarenhet av containermiljöer som Podman eller Kubernetes - erfarenhet av att arbeta med datalake-lagring så som S3 och LakeFS - erfarenhet av att arbeta enligt DevOps-principer med fokus på automatisering och CI/CD - erfarenhet från finans- eller fintechbranschen. - erfarenhet av att arbeta agilt   Vi söker dig som är driven, ansvarsfull, kvalitetsmedveten, har gott omdöme och är bra på att samarbeta. Vi lägger stor vikt vid dina personliga egenskaper.   MER OM TJÄNSTEN  Tillträde: Enligt överenskommelse Anställningstyp: Tillsvidareanställning, provanställning kan komma att tillämpas Placering: Kontor i centrala Stockholm  Arbetstid: Förtroendearbetstid Möjlighet att jobba distans: 1 eller 2 dagar i veckan Förmåner: Generösa semestervillkor, löneväxling till pension, subventionerad lunch, friskvårdsbidrag, subventionerad massage och tillgång till gym och ledarledda träningspass.    Tjänsten kan komma att placeras i säkerhetsklass och en säkerhetsprövning innefattande registerkontroll, säkerhetsprövningssamtal och särskild personutredning görs då för slutkandidaten. För vissa tjänster ställs krav på svenskt medborgarskap.    ATT JOBBA PÅ RIKSBANKEN Riksbanken är en myndighet under riksdagen som arbetar på medborgarnas uppdrag för en stark och säker ekonomi. Som landets centralbank har vi en nyckelroll för individer, hushåll och företag i Sverige och i över 350 år har vi utforskat nya vägar för att vara i framkant – från kopparplåtmynt till AI. Oavsett inom vilket område din kompetens finns – är det med stolthet vi tar oss an våra uppdrag. Tillsammans arbetar vi för en låg och stabil inflation, bidrar till ett effektivt och stabilt finansiellt system och säkerställer att betalningar fungerar smidigt, även i kriser. Vi ger också ut Sveriges sedlar och mynt. Läs mer om hur det är att arbeta på Riksbanken https://www.riksbank.se/sv/om-riksbanken/jobba-hos-oss/vi-erbjuder/.   ANSÖK  Vi vill ha din ansökan med CV senast den 17 augusti. Vi vill att du i denna rekrytering besvarar ett antal urvalsfrågor. På så vis kan du enkelt söka tjänsten och vi ges möjligheten att utvärdera våra kandidater på lika villkor. Arbetsprov kan komma att ingå som en del av rekryteringsprocessen. Vi genomför också bakgrundskontroller på slutkandidaterna, vilket innebär att vi kontrollerar examensbevis eller annat dokument som styrker din utbildning.    Du kan läsa mer om hur det fungerar när du söker jobb på Riksbanken https://www.riksbank.se/sv/om-riksbanken/jobba-hos-oss/for-dig-som-vill-soka-jobb-hos-oss/. Vi ser fram emot att få kontakt med dig!  Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Aira Group AB

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role We are looking for a Data Engineer to join our Data Analytics and ML team. We are looking for somebody who can continue building, improving, expanding and maintaining our data infrastructure and central back-end, from GCP fundamentals to collaborating with tech teams to set up their data serving pipelines, to enabling analytics engineers and domain experts to build data marts, dashboarding and data science efforts. You are responsible for enabling other data experts in their developer experience, ensuring our data core platform is secure, stable and scalable, can run necessary pipelines for streaming and other sources, and serve data to other engineers or analysts in a reliable, compliant and convenient way. Your work will be key to optimising the reliability and performance of our organisation and the different teams. You will build and maintain our data landscape, drive change in our tech and development processes, engineer solutions to enhance features, and be a part of our data architecture to propel solutions to further levels. Your other responsibilities include: Enable data- and AI-driven software, insights and informed decisions through enabling data product building in an interoperable, agile and modern fashion Build components to enable data mesh distributed ownership of data assets, pipelines and analytics marts Develop end-to-end pipelines to ingest, transform and serve data assets Collaborate with analytics engineers, enabling them to move fast and efficiently in developing and managing data products based on raw source data Collaborate with software product development teams to allow them to to have autonomy in serving and consuming data in the landscape Introduce practices and tools to improve data reliability and performance Ingest crucial data to adjust future business strategies Who are you From a technical perspective, we would like you to have experience with: Data engineering, infrastructure as code, and building data pipelines and pipeline modules Streaming data, Kafka, schema registry Creating ELT/ETL pipelines for ingesting and transforming data Building, testing, and maintaining database and pipeline architectures Dagster, DBT, DLT, GCP, AWS Python, SQL, Java, Terraform GitHub CICD and deployment pipelines Kubernetes Lint and other code hygiene CI practices Data/analytics/ML in any major cloud platform As a person, we would like you to be: Adaptable and hands-on solution while taking into account/having an interest for the holistic perspective A quick learner with a willingness to share knowledge A strong communicator and team player At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.

Knowit Group

Din roll: Som Data Engineer hos oss arbetar du med att designa och bygga datalösningar för kunder i olika branscher, inklusive medtech, fintech, automotive och offentlig sektor. Dina uppgifter inkluderar att: * Utveckla och underhålla datalösningar som möter kunders specifika behov och skapar värde. * Bygga och optimera pipelines för att hantera, transformera och leverera data på ett effektivt sätt. * Arbeta nära kunder och kollegor för att identifiera innovativa sätt att använda data som en strategisk resurs. * Säkerställa datakvalitet, tillförlitlighet och prestanda genom att följa bästa praxis och moderna standarder. * Bidra till att bygga en skalbar och framtidssäker datainfrastruktur som stödjer kundernas verksamheter. Teknikstack: Du kommer ofta att använda: * Kodning: Python, SQL * Molntjänster: Azure, AWS, Google Cloud * Transformering & orkestrering: Databricks, Dagster, DBT, DLT, Docker, DuckDB, Kubernetes * Datastorage: MinIO, LakeFS, Snowflake * DevOps: CI/CD, Infrastructure as Code Vad vi söker: * Erfarenhet av eller nyfikenhet för ovanstående verktyg och teknologier. * Ett datadrivet tänkesätt och förmåga att strukturera information. * Förmåga att leverera lösningar som gör skillnad för kunden. Vad vi erbjuder: * Projekt efter din kompetens och dina intressen. * Möjligheter att jobba med både små och stora kunder. * Ett team av skickliga kollegor med fokus på teknik och resultat. Innan du söker jobbet: * Eftersom våra kunder är både internationella och nationella så behöver du kunna svenska och engelska i tal och skrift.   Det är just nu semestertider och vi vill förvarna att det kan ta längre tid än vanligt med respons från oss. Vi hoppas du har överseende med det och önskar dig en otroligt bra sommar!

ACADEMIC WORK SWEDEN AB

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe’s fastest-growing FinTech scaleups and take full ownership of the company’s Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth! About the role You will be part of the Product team and play a crucial role in Kreditz’s continued growth journey. At Kreditz, data is not just a support function – it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe. As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders. What Kreditz Offers You A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup. Real impact: A role where everyone in the team plays a crucial part in the company’s success, and where you get true ownership of the data infrastructure. A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork – we win together. Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary. Work tasks You will be responsible for the end-to-end data lifecycle, from maintaining the DWH architecture to ensuring data quality for both analytical and operational needs across the company. Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency Design and build robust ETL/ELT pipelines within the AWS ecosystem Automate internal reporting and create self-service data environments for stakeholders Manage AWS services including Glue, Redshift, Athena, and Lambda Implement monitoring and validation frameworks to ensure data integrity Collaborate with DevOps and Backend teams to align infrastructure Support AI and ML models by assisting with specialized data pipelines We are looking for BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure. Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python). Strong hands-on experience with AWS (specifically services like Redshift/Snowflake, S3, Glue, and Lambda). Solid understanding of data warehousing concepts (e.g., Star Schema, Kimball) and modern data stack tools. Experience with orchestration tools (e.g., Airflow, Dagster) and CI/CD workflows (i.e., GitHub Actions). Ability to translate complex technical data structures into clear insights for non-technical stakeholders. Professional fluency in English, both written and spoken, as this is the company’s working language. It is meritorious if you have Experience with Infrastructure as Code (Terraform). Experience from FinTech, Open Banking, or working with highly regulated data. Familiarity with BI tools (e.g., AWS QuickSight, PowerBI...etc) To succeed in the role, your personal skills are: Orderly Stable Responsible Intellectually curious Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Knowit AB (Publ)

Forma framtidens datadrivna lösningar i molnet. Är du en erfaren Data Engineer som vill arbeta nära tekniken och bygga robusta dataplattformar i moderna molnmiljöer? Hos Knowit i Göteborg får du möjlighet att ta ett tekniskt ledarskap i uppdrag där kvalitet, skalbarhet och affärsvärde står i centrum – tillsammans med några av Sveriges mest datatunga myndigheter och företag. Om rollen som Senior Data Engineer på Knowit Som Senior Data Engineer hos oss i Göteborg arbetar du med att designa och utveckla avancerade datalösningar i molnet. Du kommer arbeta med moderna principer inom datamodellering, semantic layers och data governance för att skapa robusta och framtidssäkra dataplattformar. Du tar ansvar för arkitekturval, implementation och optimering av pipelines, och fungerar som en teknisk förebild i teamet. Våra uppdrag spänner över både offentlig och privat sektor, där du är med och skapar lösningar där data blir en strategisk tillgång och en central del av verksamheten. Dina huvudsakliga arbetsuppgifter inkluderar: Designa och implementera skalbara dataplattformar i moln (Azure, AWS, GCP) Bygga och optimera datapipelines med Python och DBT Säkerställa hög datakvalitet, prestanda och robusthet i komplexa system Driva tekniska beslut och bidra till best practices inom data engineering Stötta team och kunder i arkitektur- och designfrågor Vår teknikstack / verktyg och metoder Python, SQL Dagster, Airflow DBT, Docker, Kubernetes Snowflake, DataBricks, BigQuery Molnplattformar: Azure, AWS, Google Cloud CI/CD och Infrastructure as Code Vi uppmuntrar ständig teknisk utveckling och du får vara med och påverka både teknikval och arbetssätt i våra kunduppdrag. Vem söker vi? Vi söker dig med minst 7 års erfarenhet som Data Engineer, som är redo att ta ett större ansvar i team och leveranser. Du har gedigen erfarenhet av molnbaserade lösningar, Python och DBT, och är van vid att arbeta nära både teknik och affär. Du är trygg i att leda tekniska diskussioner, fatta beslut och stötta andra. Samtidigt är du prestigelös och trivs i en kultur där samarbete och lärande står i fokus. Erfarenhet av AI och datadrivna organisationer är ett plus. Vad erbjuder Knowit i Göteborg? Hos oss får du arbeta i uppdrag som gör verklig skillnad – från samhällsviktiga initiativ inom offentlig sektor till innovativa lösningar i industrin. Du får möjlighet att arbeta med välkända organisationer och myndigheter i en miljö där teknik, lärande och balans står i fokus. Vi erbjuder flexibilitet, ett centralt kontor i Göteborg och en kultur präglad av kunskapsdelning kultur, innovation, hållbarhet och en sund balans mellan arbete och privatliv. Vi har ett modern kontor i centrala Göteborg där vi ofta har aktiviter så som AW, föreläsningar och hackathons. Är du redo att ta nästa steg som Senior Data Engineer? Välkommen med din ansökan och bli en del av Knowit i Göteborg!

Lovable Labs Sweden AB

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Knowit Group

Forma framtidens datadrivna lösningar inom AI och ML Är du en Data Engineer som vill arbeta med moderna teknologier och vara med och forma framtidens digitala lösningar? Vill du jobba i ett bolag där teknik, innovation och kundnytta står i centrum? Då är det dig vi söker till oss hos Knowit i Göteborg! OM ROLLEN SOM DATA ENGINEER PÅ KNOWIT Som Data Engineer hos oss på Knowit i Göteborg är du med och designar, bygger och underhåller moderna dataplattformar och lösningar för kunder inom branscher som medtech, fintech, automotive och offentlig sektor. Du arbetar nära både kunder och kollegor i tvärfunktionella team, där datadrivna beslut, AI och machine learning (ML) är naturliga delar av vardagen. Dina huvudsakliga arbetsuppgifter inkluderar: * Design och utveckling av skalbara datalösningar som skapar verkligt affärsvärde. * Bygga och optimera pipelines för insamling, transformation och leverans av data – både i realtid och batch. * Samarbeta med data scientists, arkitekter och utvecklare för att skapa robusta lösningar för AI- och ML-modeller. * Säkerställa hög datakvalitet, tillförlitlighet och prestanda genom best practices och moderna standarder. * Bidra till att etablera en framtidssäker datainfrastruktur för både små och stora företag. VÅR TEKNIKSTACK Som Data Engineer hos oss får du arbeta med en bred och modern teknikstack som innefattar: * Kod & Script: Python, SQL * Molnplattformar: Azure, AWS, Google Cloud * Dataorkestrering & ETL: Databricks, Dagster, DBT, DLT, Docker, DuckDB, Kubernetes * Lagring & Data Lake: MinIO, LakeFS, Snowflake * DevOps: CI/CD, Infrastructure as Code (IaC) Vi uppmuntrar ständig teknisk utveckling och är öppna för nya idéer – du får vara med och påverka verktygen vi använder. Du behöver inte ha jobbat med hela vår teknikstack – det viktigaste är att du är nyfiken, lösningsorienterad och villig att växa med oss. VEM SÖKER VI? Vi söker dig som har erfarenhet eller en stark nyfikenhet på, moderna verktyg och teknologier inom data engineering, molnlösningar, AI och machine learning. Du har ett strukturerat och datadrivet sätt att tänka, och en naturlig förmåga att skapa ordning utav komplex information. Du motiveras av att ta dig an tekniska problem/utmaningar och att leverera bra och stabila lösningar som gör verklig skillnad för kunden. Dessutom trivs du i samarbeten, gillar att testa nya idéer och bidrar gärna till en lärande och öppen kultur där kunskapsdelning är ett centralt fokus.  AI är en naturlig del av våra arbetssätt – från interna verktyg till lösningar vi skapar för kund. Vi ser gärna att du har erfarenhet av att jobba med AI, maskininlärning eller beslutsstöd. Men det viktigaste är kanske ändå att du är nyfiken på hur tekniken kan användas på riktigt – i vardagen, i teamet och i leveranserna. VAD ERBJUDER KNOWIT GÖTEBORG? Hos oss får du arbeta med projekt som matchar både din kompetens och dina personliga intressen – oavsett om det är hos innovativa startups eller väletablerade organisationer. Du kommer att vara del av spännande uppdrag där avancerade lösningar inom AI, maskininlärning och där datadrivna beslut står i fokus. Vår kultur präglas av innovation, hållbarhet och en sund balans mellan arbete och privatliv. Vi har ett modernt kontor mitt i centrala Göteborg, men erbjuder samtidigt stor flexibilitet för dig som föredrar att arbeta på distans. Är du redo att ta nästa steg i din karriär som data engineer? Välkommen med din ansökan och bli en del av vårt växande team i Göteborg! Det är just nu semestertider och vi vill förvarna att det kan ta längre tid än vanligt med respons från oss. Vi hoppas du har överseende med det och önskar dig en otroligt bra sommar!

Knowit AB (Publ)

Bygg datadrivna lösningar Är du en Data Engineer som vill arbeta med moderna dataplattformar, molnteknik och avancerad analys, samtidigt som du har balans i vardagen? Hos Knowit i Östersund får du arbeta nära både teknik och verksamhet i uppdrag som bidrar till ett mer hållbart och digitalt samhälle. Om rollen som Data Engineer på Knowit Som Data Engineer hos Knowit i Östersund arbetar du med att designa, utveckla och förvalta datalösningar för kunder inom både privat och offentlig sektor. Du blir en del av tvärfunktionella team där samarbete, kunskapsdelning och teknisk kvalitet står i fokus. Du arbetar ofta i miljöer där Azure, SQL, Python och Databricks är centrala delar av lösningen, och där datadrivna beslut, AI och analys skapar konkret affärs- och samhällsnytta. Dina huvudsakliga arbetsuppgifter inkluderar: Design och utveckling av skalbara och robusta dataplattformar Bygga och optimera data pipelines för insamling, transformation och tillgängliggörande av data Arbeta med strukturerad och ostrukturerad data i molnbaserade miljöer, främst i Azure Samarbeta med utvecklare, analytiker och arkitekter för att skapa långsiktiga lösningar Säkerställa datakvalitet, prestanda och tillförlitlighet enligt best practices Vår teknikstack / verktyg och metoder Kod & Script: Python, SQL Molnplattformar: Azure, AWS, Google Cloud Dataorkestrering & ETL: Dagster, DBT, DLT, Docker, DuckDB, Kubernetes Lagring & Data Lake: Databricks, MinIO, LakeFS, Snowflake DevOps: CI/CD, Infrastructure as Code (IaC) Vi är teknikagnostiska i grunden och uppmuntrar dig att vara med och påverka val av verktyg och arbetssätt. Hos Knowit finns stort fokus på kontinuerligt lärande och kompetensutveckling. Vem söker vi? Vi söker dig som har erfarenhet av rollen som Data Engineer och som trivs i en miljö där teknik möter verksamhet. Du har god vana av att arbeta med SQL och Python, molnlösningar och dataplattformar, gärna i Azure och Databricks. Som person är du nyfiken, lösningsorienterad och gillar att samarbeta. Du tar ansvar för din leverans, delar gärna med dig av din kunskap och har ett genuint intresse för data, analys och ny teknik, inklusive AI och automatisering. Vad erbjuder Knowit i Östersund? Hos Knowit i Östersund blir du en del av ett lokalt team med stark gemenskap och nära samarbete, samtidigt som du får tillgång till styrkan i ett stort nordiskt konsultbolag. Här arbetar du med spännande och meningsfulla uppdrag där teknik används för att skapa verklig nytta, både för kunder och samhälle. Vi erbjuder flexibla arbetsformer med möjlighet till hybridarbete och lägger stor vikt vid balans mellan arbete och privatliv. På Knowit finns ett tydligt fokus på hållbarhet, långsiktig kompetensutveckling och kunskapsdelning, vilket ger dig goda möjligheter att växa i din roll som Data Engineer och utvecklas vidare inom organisationen.

Flower Infrastructure Technologies AB

⚡️ What We Do Swiftly gaining ground as Sweden’s industry leader in battery storage and expanding rapidly in selected European markets, Flower is on a mission to enable the energy system of tomorrow. With an industry-leading AI-powered platform at its core, our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets, we break new ground towards a fossil-free energy system, allowing clean energy to power society. 🌟Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Data Engineer, Platform. 👩‍💻 About The Role As a Data Engineer on the Platform squad, you will take ownership of the infrastructure that powers our entire data ecosystem. This isn't just about moving data from A to B; it’s about building a scalable, self-service platform that enables our Data Scientists and Product teams to ship at pace. You will work in the intersection of software engineering and data, ensuring our systems are robust, observable, and high-performance. What You’ll Do Develop and maintain our core data platform (Data Lakehouse, orchestration, and observability) using Databricks, dbt, and Python. Implement CI/CD pipelines for data systems and leverage Infrastructure as Code (Terraform) to ensure reliable, reproducible deployments. Identify bottlenecks, optimize distributed compute (Spark) jobs, and assist with cost management to keep our platform lean and fast. Partner with product teams to design ingestion frameworks and declarative configurations that allow others to scale their own data needs. Ensure data quality, lineage, and security standards are embedded into every workflow, not treated as an afterthought. Who You Are 2–3 years of professional experience in Data Engineering with a strong grasp of cloud-based data platforms (Databricks, Snowflake, BigQuery or similar). Proficient in Python and SQL, with an understanding of distributed systems and a passion for writing clean, well-tested code. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation) and modern orchestration (Airflow, Dagster, or similar). Meticulous in your work, with a keen eye for data quality, correctness, and edge-cases; you take pride in delivering bullet-proof solutions that scale. Great team player and communicator, ready to share knowledge, solicit feedback, and collaborate effectively within a diverse, agile team. 📍 Location Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 20 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the Talent Partner, Head of Platform, the Team and VP of Engineering. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. JOB LOCATION: SPAIN WHAT IS THE ROLE Every forecast, territory plan, and customer conversation at Elastic depends on the quality of our customer data. We're looking for a Senior AI Engineer to join the RevTech Engineering team inside Revenue Operations and shape the data foundation our Sales teams rely on. Our customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems. Each has its own definitions, gaps, and drift. This role turns that fragmented reality into a trusted, enriched, AI-ready dataset — and keeps it that way as Elastic scales. You'll partner with RevOps analysts, GTM systems teams, and the field organization to make sure the people closest to our customers are working from a customer view they can trust. The work is field-facing: success looks like better account scoring, cleaner segmentation, faster onboarding for new data sources, and AI-powered workflows that actually save sellers time. Because this data is customer data, you'll also be responsible for holding the line on how it's handled — PII governance, consent management, and responsible AI practices are part of the job, not a footnote. WHAT YOU WILL BE DOING * Build and maintain the golden customer dataset. Design the canonical dataset that unifies signals from across GTM systems into a single, governed source of truth — including the enrichment pipelines, deduplication, entity resolution, and validation systems that keep it accurate as sources land and drift. * Make data AI-ready. Work with the RevOps Data Science team to prepare structured and unstructured data for downstream AI workflows — account research, lead scoring, churn signals, CSM briefings — covering chunking, embedding strategy, metadata design, and source integration across GTM systems, product telemetry, and third-party enrichment providers. * Own quality and lineage. Implement monitoring, drift detection, and lineage tracking so anomalies surface before they reach a forecast, a dashboard, or a seller's inbox. * Set the standard. Define how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts downstream teams depend on. WHAT YOU BRING  We're looking for a senior data and AI practitioner with 3+ years of experience building production pipelines that feed ML or LLM-based systems — someone who knows how messy GTM data gets at scale and has the technical range to clean it, enrich it, and make it AI-ready. * GTM data fluency. You've worked with CRM data at scale — accounts, contacts, opportunities, leads — and understand the entity resolution and deduplication challenges that come with it. * AI-readiness experience. You've prepared data for RAG, embeddings, and AI agents, including chunking strategies, metadata enrichment, and embedding model selection. * LLM applied to data. You've used LLMs for extraction, classification, and normalization — and you know how to evaluate whether they're working. * Core tools. Python, senior-level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent). * Elastic Stack. Working knowledge of Elasticsearch, vector search, and ESRE — or genuine interest in building it. BONUS POINTS * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Prior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Legora AB

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Legora

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.   Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Naturkompaniet

ENGAGERAD SÄLJARE TILL BUTIKEN PÅ TORP I UDDEVALLA Ort: Torp Uddevalla | Omfattning: Vikariat 50% | Start: 2026-09-07 | Sista ansökningsdag: 2026-08-31 Vilka vi är och hur vi jobbar Naturkompaniets existens bygger på vår passion för friluftsliv. Gör vardagen till ett äventyr - är något vi lever efter och vill inspirera våra kunder att göra detsamma! Med kunskap och sortiment är vi ambassadörer för naturen och vi inspirerar och utrustar erfarna såväl som nybörjare att komma ut i naturen. Oavsett om det handlar om en dagstur i närmaste skog, en paddeltur i skärgården eller att genomföra Vita bandet på turskidor, hjälper vi kunden att hitta rätt utrustning för ett tryggt och minnesvärt äventyr! Om butiken Naturkompaniet på Torp i Uddevalla är en liten butik med ett brett sortiment av kläder och utrustning för vardag och äventyr. Vi som arbetar här är alla del av en liten och tight personalstyrka där det är viktigt att vara öppen, tydlig och lyhörd inför varandra. Att jobba som säljare i en liten butik ställer högre krav på dig som säljare, du behöver vara självgående driven och lösningsorienterad, känna dig trygg inför att ha flera arbetsuppgifter samtidigt och vara flexibel, noggrann och organiserad.  Din roll Är du en person med genuin servicekänsla och ett intresse för att möta människor och skapa goda kundrelationer? Tjänsten passar perfekt för dig som studerar på distans eller kanske har annan, egen verksamhet och kan vara flexibel med din planering. Detta eftersom tjänsten innebär arbete både på vardag och helg. Det är också ett ökat behov under perioden juni-augusti samt i december. Som säljare på Naturkompaniet representerar du vårt varumärke och är den som förmedlar vår filosofi till varje besökare. Hög servicenivå, produktkunskap och engagemang är gemensamma nämnare för alla våra medarbetare. Tillsammans med vårt team guidar du kunderna till rätt produkter och bidrar till att nå butikens gemensamma mål. Vi tror att du har: * Tidigare erfarenhet från personlig kundservice, gärna i butik. * Naturlig förmåga att skapa goda kundmöten och känna belöning i att driva försäljning hela vägen till avslut. * Engagemang, ansvarstagande och en vilja att bidra till ett bra samarbete i teamet. * Förmåga att anpassa dig i en dynamisk butiksmiljö och växla mellan olika uppgifter och kunder, med fokus på noggrannhet och struktur. * Ett intresse för natur och friluftsliv – eller nyfikenhet att lära dig. Både genom egna upplevelser i naturen och genom att bygga på din produktkunskap i butik. * God kommunikativ förmåga på svenska och engelska. Andra språk är meriterande. * Ledar- och guideutbildningar inom friluftsliv är meriterande I vår rekrytering värdesätter vi din personliga lämplighet högt. Mer om tjänsten och ansökan Naturkompaniet är anslutna till kollektivavtal vilket innebär att våra medarbetare täcks av trygga villkor och avtalsenliga löner, tjänstepension och försäkringar. Lön sätts enligt Handels lönenivåer och baseras på branschvana. Vi erbjuder flera förmåner som personalrabatt, friskvårdsbidrag, tillgång till låneutrustning till ditt friluftsäventyr och samarbete med lokala gym till förmånliga priser. Tjänsten är en tillsvidare anställning, tillträde 2026-09-07, sista ansökningsdatum 2026-08-31. Vi tillämpar sex månaders provanställning. Arbetstiderna följer butikens öppettider och innefattar både kvällar och helger. Urvalet sker löpande så vänta inte med att skicka in din ansökan. Sista ansökningsdag är 2026-08-31. Observera att vi endast tar emot ansökningar via vår karriärssida. Om Naturkompaniet Naturkompaniet är en del av Fenix Outdoor, en internationell koncern med stark förankring i natur och friluftsliv. Vi erbjuder kunskap, service och produkter som är kända för sin kvalitet, funktionalitet och hållbarhet. Vi tror på en platt organisation där samarbete och dialog är centralt. Genom nära kontakt mellan butiker och huvudkontor säkerställer vi att våra mål alltid utgår från verkligheten i verksamheten – och att vi når dem tillsammans. Som företag går vi alltid vår egen väg, och vår miljöprofil ska vara glasklar. Naturkompaniet strävar ständigt efter att skapa och främja en mångsidig och inkluderande arbetsplats för alla medarbetare. Vi erbjuder lika möjligheter till anställning och har som mål att skapa en trygg, rättvis och vänlig arbetsmiljö där alla känner sig välkomna och kan trivas.

Databricks

RDQ426R402 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. The impact you’ll have: * Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption. * Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience. * Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations. * Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads. * Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success. WHAT WE LOOK FOR: * 5+ yrs of experience * Bachelors degree in Computer Science or similar field * Experience in Product Management (inbound, outbound, cross-functional processes) * Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.) * Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines) * Strong data analysis and operationalization skills (SQL, Python, building operational dashboards) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will play an important role in developing data pipelines, frameworks, and models to support the understanding of our users and better product decisions. You will help empower product teams with a complete self-serve analytics platform by working on scalable, robust solutions while collaborating with data engineers, data scientists, and data analysts across the company. What you’ll do:         Drive Architectural Vision & Execution * Design for Scale: Lead the architectural design and hands-on implementation of high-throughput, low-latency data pipelines using Spark and Kafka to process massive datasets. * Build Core Infrastructure: Develop, optimize, and maintain robust data models in BigQuery and orchestrate complex, multi-layered data workflows using Apache Airflow. * Operationalize AI/ML: Partner directly with Data Science teams to take machine learning models out of the lab and into production. Design the architecture that allows these models to serve real-time predictions and insights to downstream services.        Lead Complex, Cross-Functional Initiatives * Navigate Ambiguity: Take ownership of highly ambiguous business problems, translating vague stakeholder requirements into concrete, actionable technical roadmaps. * End-to-End Delivery: Autonomously drive complex, multi-squad projects from the initial whiteboard design phase through large-scale deployment and long-term maintenance. * Cross-Business Alignment: Collaborate with Product Owners and technical leaders across different Business Units to ensure your data systems support the overall company strategy and maximize end-user value.        Elevate Engineering Standards & Team Performance * Champion Quality: Actively lead large-scale refactoring efforts and continuously drive improvements in code quality, system reliability, and internal tooling. * Proactive Problem Solving: Act as the vanguard for system health—spotting subtle, long-term performance bottlenecks early and architecting workable solutions before they impact the business. * Mentorship & Coaching: Dedicate time to leveling up the broader engineering organization. Conduct rigorous architectural and peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence. What you bring in:         Architecture & Tech Stack * Core Engineering: Exceptional proficiency in programming in Python / Scala to build robust, highly optimized data systems. * Distributed Systems: Extensive architectural experience with Apache Spark and Kafka (or equivalents like Flink, Kinesis, GCP Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec). * Data Warehousing & Orchestration: Expert in data modeling and query optimization in BigQuery (or Snowflake / Redshift). Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect). * MLOps & AI Integration: Experience deploying machine learning models into production. Ability to engineer deployment architectures that translate AI models into scalable, low-latency APIs for downstream services.        Complex Execution * End-to-End Ownership: Proven track record of leading complex, cross-squad projects from initial whiteboard design through large-scale deployment and maintenance. * Problem Decomposition: Strong ability to break down highly ambiguous technical problems into clear, actionable development plans for multiple teams.        Engineering Leadership * Engineering Standards: Drives the adoption of architectural best practices, robust testing methodologies, and high engineering standards across the organization. * System Evolution: Leads large-scale codebase refactoring, system health improvements, and the evolution of internal tooling. * Mentorship: Actively mentors senior and junior engineers, conducts rigorous architectural/code reviews, and guides the team's long-term technology choices. It would be great if you also have: * Transactional Databases: Hands-on experience with operational RDBMS (e.g., PostgreSQL, MySQL) and low-latency NoSQL data stores (e.g., Redis, Cassandra). * Microservices Architecture: Experience building or integrating with microservice ecosystems, including API design (REST, gRPC) and container orchestration (Docker, Kubernetes). * Infrastructure as Code (IaC): Proficiency in provisioning cloud data infrastructure using Terraform and configuring robust CI/CD pipeline What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.