Data Engineer - Microsoft Fabrics

Columbus Sweden AB

Arbetsuppgifter Som Data Engineer på Columbus kommer du att vara en del av ett team som levererar moderna Data & AI-lösningar till kunder inom olika branscher. Din roll fokuserar på att bygga skalbara och moderna dataplattformar – vilket möjliggör för avancerad analys till beslutsstöd. En typisk arbetsdag kan innebära att du designar och bygger datapipelines i Azure Data Factory, arbetar med Datalake-arkitekturer i Microsoft Fabric eller utvecklar lösningar i plattformar som Databricks eller Snowflake. Du samarbetar med lösningsarkitekter och affärskonsulter för att leverera värdefulla lösningar för våra kunder. Vi arbetar främst inom Microsofts teknologistack, och dina projekt kommer ofta att involvera tjänster som Azure Data Lake, Synapse Analytics, Power BI med mera. Erfarenhet av – eller nyfikenhet på – Microsoft Fabric är mycket meriterande, då många av våra kunder är på väg i den riktningen. Så här säger Kristin – Senior BI-konsult – om livet på Columbus: "En stor anledning till att jag började på Columbus var möjligheten att få arbeta både med projektleveranser och ny teknik. Jag uppskattar att vara en del av ett team som driver lösningar framåt tillsammans. Vi känner varandra väl och delar på ansvar och erfarenheter, vilket gör att vi snabbt kan anpassa oss och nå våra mål. Att arbeta med flera kunder samtidigt ger mig både trygghet inom de områden där jag är stark och möjligheten att växa genom nya utmaningar. För mig handlar projektleveranser om att skapa långsiktigt värde och hållbara lösningar som verkligen gör skillnad för kunden." Vad vi önskar att du har med dig Du har ett par års praktisk erfarenhet av att bygga datapipelines och hantera dataflöden i molnmiljöer, gärna i Azure. Du är van att arbeta med både strukturerad och ostrukturerad data och har god förståelse för moderna data warehouse-koncept. Du har lätt för att samarbeta med både tekniska team och kundens representanter Please note that this position requires fluency in English & Swedish and requires a Swedish working VISA/Citizenship. Ansökan och nästa steg Hos oss ansöker du enkelt med din LinkedIn-profil eller CV, utan att behöva fylla i långa frågeformulär. Du behöver inte skicka in något personligt brev.  I vår rekryteringsprocess använder vi logik- och personlighetstester. Vi tar alltid referenser och genomför en bakgrundskontroll innan anställning eller erbjudande ges. Intervjuer sker löpande. Vid frågor är du välkommen att kontakta ansvarig rekryterare Daniel Sparrow.  Om Data & AI Vilka är vi? Vi är ett team med BI-konsulter som levererar Data- och AI-projekt inom Business Intelligence, AI och Machine Learning. Vi samarbetar nära med konsulter från andra affärsområden – Dynamics, M3 och Digital Commerce. Varför? Vi vill hjälpa våra kunder att nå sina affärsmål och göra deras vardag mer effektiv! Målet är att säkerställa deras långsiktiga framgång och guida kunderna genom att vara deras Trusted Advisor. Vi samarbetar med kunderna för att optimera deras lösningar. 💫 Jobba på Columbus Columbus är ett företag där värderingar står i centrum, där engagerade medarbetare stöttar varandra genom både toppar och dalar. Vi tror på balans mellan jobb och fritid – oavsett om det handlar om att lämna på förskola eller att ta emot ett paket "någon gång mellan 10 och 19". Hos oss finns tid för återhämtning, och vi arbetar proaktivt med fokus på framtiden. Vi vet också hur man firar framgångar, med allt från fika och lyxiga frukostar till after work på kontoret, och gör det gärna ofta! 🥳 Stay curious, Build trust, Collaborate, Deliver customer success - Vi vill hävda att våra värdeord gör mer nytta än att bara hänga snyggt på väggen! Dessa vägleder vårt arbete både internt och externt. Genom långsiktiga partnerskap med våra kunder, interna initiativ med Culture Ambassadors, kompetensutveckling inom affärsområdena till högkvalitativa lösningar till våra kunder. Vad andra säger om oss Intresserad av Columbus bakom kulisserna? Varje vecka låter vi en kollega ta över vårt Instagram-konto.  På Careereye kan nuvarande och tidigare medarbetare dela sina ofilterare omdömen om hur det är att arbeta hos oss. Klicka nedan för att läsa deras upplevelser.

Mpya Sci & Tech AB

Mpya Sci & Tech was created by and for people who love technology and science. We’re not here to do what everyone else is doing. We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With extensive experience and deep industry knowledge, we’ve built a forward-leaning and cutting-edge company—our way. At Mpya Sci & Tech, we believe in a sustainable working life where we build a culture together based on genuine involvement, eager curiosity, and the freedom to be yourself. Learn more at: www.mpyascitech.com . Mpya Sci & Tech is a company built by and for engineers. We have created a workplace where you as an employee are always at the center. In everything we do, we strive for a high degree of involvement and responsiveness to our employees’ thoughts about their future work and career. Together we build a strong, allowing, inclusive and curious culture with great conditions for you as an employee. We want you to have an assignment where you feel passion, develop and have balance in life. We are now looking for a Senior Data Engineer to join our Data team in Gothenburg Do you have experience building robust data platforms and pipelines that truly make a difference? Then you might be exactly who we are looking for. As a Senior Data Engineer at Mpya Sci & Tech, you will work with some of Gothenburg’s most exciting tech companies and organizations. Since we collaborate with clients of different sizes, across different industries and application areas, your preferences and skills will help shape your future assignments. We offer a role where you get to use your technical expertise and problem-solving skills, while having the freedom to influence both your assignments and your direction. What you will do Design and implement scalable data architectures and ETL/ELT pipelines Build and orchestrate reliable data workflows using modern tools for cloud data platforms, streaming and real-time analytic Take an active part in data quality, governance and security – making data trustworthy and AI-ready Collaborate with data scientists, ML engineers, developers and other specialists to create value from data Depending on the assignment, contribute to machine learning and AI initiatives – from feature pipelines and MLOps to bringing models into production We believe you have Several years of experience as a Data Engineer or in a similar role Strong skills in Python, SQL and distributed data processing such as Spark/PySpark Solid experience with modern cloud platforms such as Azure, AWS or GCP, and platforms like Databricks, Snowflake or Microsoft Fabric Experience with orchestration and transformation tools such as Airflow or dbt, and an engineering mindset including CI/CD, testing and infrastructure as code Experience with containerization and deploying applications in Kubernetes Curiosity about – or hands-on experience in – Data Science, Machine Learning or Generative AI is a plus The ability to take the lead in technical decisions and a strong interest in staying up to date within the field A prestigeless attitude, great commitment and a willingness to contribute to a good team spirit Fluent English, spoken and written – Swedish is a plus Who we are At Mpya Sci & Tech, we believe in a sustainable working life where we together build a culture where you can: Be Dedicated Be Brave and Curious Be Inclusive and Allowing We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With deep industry knowledge and extensive experience, we have built a forward-leaning and innovative company – our way. Applixcation Does this sound like an opportunity for you? Apply today via www.mpyascitech.com, or no later than August 16. Warm welcome with your application!

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves Software engineering is an increasingly important area in the automotive industry. Volvo Cars is bringing more of the software development in-house to better handle continuous integration and the complex interactions between different functions. Our data vision at Volvo Cars is powering innovation and every decision with trusted data and manage obstacles through innovative, robust designs and design for change.   You can now join the Engineering Data Hub. Our ART mission is to provide trusted data and insights to understand product & process performance and customer behavior, enabling improved efficiency and better customer experience.   We are the Data Product Engineering team, working to accelerate and streamline the use of data, analytics, and AI. The team innovates and collaborates to provide crucial contextual data and vital APIs to both internal and external consumers. Within the Volvo Cars Engineering organization, we help people (and AI systems) orient themselves in a complex product landscape by providing the right context through well-structured data. As the product grows in complexity, so does the data—our job is to make that complexity usable by transforming it into reliable, discoverable datasets and APIs that power analytics, applications, and AI. What you'll do As a Software Developer, you will build a data-driven application that transforms complex product information into reliable, discoverable datasets and APIs. You will design and operate batch pipelines, real-time querying systems, or a combination of both—depending on the use case and business needs.   A fundamental challenge for us is combining large-scale data with low latency. We operate on massive datasets, while ensuring that consumers can access relevant subsets quickly and efficiently. We are in a crucial phase of the project, designing the next generation of our product. You will directly contribute to the design and development of core capabilities. You will also work with a composable data stack, selecting the right tools and patterns to deliver scalable, maintainable, and secure applications.   Some tools we use today •    Languages: Python, Go, SQL•    Query engines: Spark, Postgres, DuckDB•    Events: Kafka•    Cloud infrastructure: Azure, Kubernetes•    DevOps: GitHub Actions, FluxCD, Helm, Prometheus, Grafana, Vault•    PaaS: Databricks, Snowflake What you'll bring We are looking for a proactive individual with a solution-oriented mindset who is proficient in the following areas: •    Software development: Git-first mindset and a proven track record in languages such as Python, Go, Rust, or similar•    Cloud: Azure and Kubernetes•    Storage: Open table formats (Delta, Iceberg, Hudi)•    Cloud-native application development•    Query engines: Postgres, DuckDB, SparkSQL We value a strong software engineering profile and the mindset that data engineering is fundamentally a software discipline. You are familiar with DevOps practices, as well as test- and specification-driven development. You have a proven track record of building, deploying, and maintaining production systems.   In addition, experience in any of the following is highly valued:•    Automotive or complex systems: Experience working with data from complex domains such as automotive, robotics, IoT, aerospace, or similar•    Large-scale data processing: Spark and SQL•    Developing data pipelines: Building reliable and resilient processing systems