Senior Data Engineer hos IKEA i Helsingborg
Utvecklar och driftar dataprodukter och lösningar för att stödja affärsbeslut. Du har minst 5 års professionell erfarenhet som Data Engineer eller Backend Software Engineer.
Titel, arbetsplatsens namn och sammanfattning skrivna av AI utifrån annonsen.
Bra att veta
Lön
Inom yrkesgruppen Mjukvaru- och systemutvecklare m.fl. har de som jobbar i privat sektor i Sydsverige i snitt 53 100 kr i månaden, varav 52 400 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 46 500 kr och 63 000 kr, och de som är 18–24 år har i snitt 36 100 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
IKEA har annonserat 14 jobb det senaste året: 14 tillsvidareanställningar. Inom yrkesgruppen Mjukvaru- och systemutvecklare m.fl. har de annonserat 26 gånger de senaste två åren, den här annonsen inräknad.
Källa: vår sammanställning av Arbetsförmedlingens annonser
Senior Data Engineer
Who you are
We are looking for a Data Engineer to join our Data Foundations team within the Remote & Chat Domain, Data & Analytics.
Our team supports IKEA's remote capabilities by building data products behind multichannel contact and resolutions systems and thus enabling comprehensive, holisitc data-analytics across the board. We work across the entirety of customer and coworker journey. In this role, you will help build reliable and scalable data solutions that support strategic and operational decision-making.
We are looking for the following:
- Strong knowledge of advanced data structures, data architecture, distributed computing, and cloud-based services
Strong knowledge of any of the cloud-based data warehousing tools such as GCP BigQuery, Amazon Redshift, Databricks, Snowflake, etc.
Strong knowledge of SQL for data processing and analysis
Strong knowledge of data-transformation tools such as GCP Dataform, DBT, or analogs.
Extensive knowledge of programming languages. We mainly use Python, but experience with other languages is also an advantage
Understanding of functional and object-oriented programming paradigms
Knowledge of tools for extracting, ingesting, and processing real-time and large datasets
Experience with machine learning models, pipelines, and deployment
Broad knowledge of digital product development principles and the importance of rapid, validated learning cycles to optimize long-term performance
Broad knowledge of modern collaborative software engineering practices, such as Agile and DevOps, where solutions evolve through the efforts of self-organizing, cross-functional teams.
Strong understanding of AI infrastructure-related topics, namely semantic layers, data curation, etc.
A team player who takes ownership, builds cross-functional relationships with senior peers, and enjoys sharing knowledge with more junior team members
A curious problem solver who wants to keep learning
At least 5 years of professional experience as a Data Engineer or Backend Software Engineer
This is our wish list. If you do not recognize yourself in every point, you might still be an excellent candidate for the role. We like to think long-term and invest in people's development together with us.
What you'll be doing day to day
You will help lead the domain by developing and operating data products and solutions that influence business, people, and product decisions. Your work will contribute to better experiences for both our co-workers and customers.
You will apply modern data and software engineering practices to build resilient, flexible, and scalable solutions. Your job will be a mix of understanding business needs, designing data solutions, and, of course, writing code. For example, we are developing metrics, statistical and machine learning models, dashboards, and tools to answer questions such as:
How can we help our markets excel at supporting our clients' needs in the remote channels?
How can we enable comprehensive and actionable analytics, and promote data-driven decision-making?
How can we leverage AI to improve customer and coworker experience?
We are on a journey towards becoming a data-driven company, and you will have the opportunity to help shape our path based on your knowledge and experience.
What we can offer you
- The opportunity to work on exciting problems.
- The freedom and encouragement to spot new opportunities and collaborate across Data & Analytics
- The chance to create global impact through your work.
- Flexible and modern tools: we deploy on Google Cloud Platform and use many open-source tools across the board
- Hardware and operating system of your choice
- A team of great colleagues to learn with and from
Avsnitt som inte handlar om jobbet är utelämnade. Hela annonsen finns hos Arbetsförmedlingen.
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