
Lindex · Göteborg
A job description is not a job ad. I cannot stress this enough. There is nothing more tiresome than to see an ad like this: Requirements: * At least 5 years ...
A job description is not a job ad. I cannot stress this enough. There is nothing more tiresome than to see an ad like this:
Does this make you want to jump up, tell your boss you're leaving and go work for this company instead? I don't think so. This
hardly evokes an emotion, much less the feeling of wanting to uproot so much of your being and quit your job.
You have to remember that in the end of the day, that's what you want people to do. The people you want to apply are probably
being treated really well at their current job so that they won't quit. So, you have to work extra hard to attract them!
Ask questions instead of demanding
Nobody wants to read a list of your demands. If you get a lot of unqualified candidates applying, make sure you use questions to
filter them! For example, by asking how many years of experience they have, you will be able to filter the applications, and thus
save yourself from reading a lot of unqualified applications.
Focus on what you're offering
Since you've just eliminated the need to list your demands, you have a lot of space to write about your company and what you can
offer the candidate. Imagine it being a personal ad. You have to really sell the idea of working with you. Write about everything
from your lunches together, your flexible hours, free coffee in the break room, etc. When you add these things together, the
person reading the ad is going to imagine herself being there with you.
Market your company
Don't forget – job seekers are not the only ones reading your ads. Your rivals, customers and partners are probably reading them
as well. Job ads are a really good place to see how a company is doing and how generous they can be. When you're writing the ad,
make sure to imagine your biggest rival reading the ad. You're going to want to make them jealous, right?
Make sure you're not making stuff up!
So now you understand the concept of making your company sound like a great place to work. However, you have to be honest. Nothing
is worse than a candidate that is disappointed right from the start of an interview. Don't say that you offer something that you
don't.
Be honest – but be sure to mention everything that makes your workplace a great place to work.
Be concise
Don't write too much. To be brutally honest, nobody wants to read about your company for more than two minutes, so make sure that
your job ad isn't too long.
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!
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. As a Data Sourcing Controller, you will be part of the Data Sourcing team at Quartr. The team's main function is to ensure that investor relations data and public financial information, such as earnings calls, reports, presentations, and more, are accurately gathered and delivered to our users and clients. WHAT YOU’LL DO * Gather and collect earnings data from publicly listed companies. * Regularly check and monitor investor relations pages for new updates and relevant data. * Support internal and external stakeholders in data-related inquiries. * Source additional data types, such as company presentations, earnings reports, and earnings calls, and contribute to expanding our coverage of publicly listed companies. * You'll primarily focus on a specific market within our coverage, working as part of a dedicated team responsible for that market. WHO YOU ARE * You have a high attention to detail * An ambitious and curious person * Responsible and very time-conscious * A communicative team player with excellent collaboration skills * Interest in finance and/or an academic background is a plus ADDITIONAL INFORMATION ABOUT THE ROLE * Full-time role * Start date: 1 September 2026 * This role can be performed remotely, in a hybrid setup, or from our offices in Stockholm or Gothenburg * Please note that this is not a finance analysis, budgeting/accounting, coding, or research role. Note: You need to be based in Sweden with a valid work permit. Sidenote: we're taking interviews on a regular basis, but the majority will take place after summer — so don't worry if things move slowly over the next couple of months. WHAT WE OFFER * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: * Designing and developing scalable data platforms based on Databricks and Lakehouse architecture * Building, optimizing, and orchestrating data pipelines using Python and PySpark * Working with data governance and management through Unity Catalog * Integrating data with BI, AI, and ML solutions to create real business value * Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working * Data platform: Databricks * Programming: Python, PySpark * Cloud platforms: Azure, AWS, and Google Cloud * Data architecture: Lakehouse, modern data platforms * AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!