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Software Engineer - Data Observability & Data Lineage Platform

Helsingborg, Comté de Skåne - Explore le lieu Informatique & Solutions Digitales Temps plein

Description de poste



“At IKEA, you’re welcome no matter where you come from, what you believe, and what you look like. We don’t even care how you have furnished your home. We’re interested in you simply because you’re you. Our different views, backgrounds, and personalities make us better understand our customers, give us more fun at work and spark more and better ideas. Perhaps your unique take on something could lead to a great idea that creates a better everyday life for the many people.

Who we are

Data Discovery is a team that is developing and enabling capabilities for discoverability and observability of technical metadata within a vast data landscape, by providing tools and platforms for the thousands of data and software engineers at IKEA. Data Discovery is part of a larger organization called Data Enablement Technology, which develops, maintains, and provides the data foundational capabilities of IKEA.

We are an autonomous, self-organized team with an agile way of working. All team members participate in defining our short- and long-term goals, with everyone's opinion being valued during our planning. We acknowledge and address tech debt early and often, before it becomes a larger problem.

Together, we create a happy work environment where we try to put you in control of your activities, and always have the opportunity to grow both personally and professionally. We believe in a healthy and flexible work/life balance. Our offices are based in Malmö and Helsingborg.

Why we will love you

You have worked within the data observability or data warehousing space for several of your recent professional years. You are excited about "connecting the dots" within a complex and huge data ecosystem and landscape. You understand that within a large organization like IKEA, you will have to adapt to, and work with, both old and new technologies running in very varied environments.

You have a strong belief in automation, but you are also not afraid of rolling up your sleeves and confirm your hypothesis manually. You take your time with discovery and exploration before writing the first lines of code, and validate the value of your proposals through proof-of-concepts and close collaboration with our stakeholders, data architects, and product teams.

You consider well-written documentation a feature, and understand the value of maintaining documentation of the highest quality. You are eager to learn and share your knowledge with your team, and not hesitate to jump into an issue where you believe you can be of assistance.

The IKEA culture and values are very much a part of our business and day to day activities. For you to thrive and grow with IKEA, it is important for us that you share our values! You can read about our values and life at IKEA on our website: https://about.ikea.com/en/work-with-us

We believe that you can

• Communicate and work asynchronously (i.e. nohello.net)
• Plan your work independently, while also contributing to the team’s planning
• Help us to continuously establish and improve our software development practices
• Challenge and argue your case, when you think something don’t feel or sound right
• Learn new skills, and adapt to a rapidly changing data landscape
Your responsibilities
• Architect and develop solutions around observability challenges in a varied data landscape
• Write documentation, in addition to contributing to your team members documentation
• Deliver testable, maintainable, and high-quality code that ensures high operational standard
• Communicate efficiently and proactively with our stakeholders and product teams
• Be able to initiate or propose plans around improvements, in addition to tech debt
• Navigate the vast and varied enterprise data landscape that is IKEA
Skills & qualifications
• Highly proficient in modern development practices (i.e. Git, Terraform, Docker, CI/CD)
• Advanced experience with Python (Bonus: Golang, Java, TypeScript)
• Proficient in Snowflake and/or other data warehousing solutions
• Experience with data observability platforms (e.g. DataHub, OpenMetadata, etc.)
• Experience with deploying and running software on cloud platforms (e.g. GCP)
• Experience with building data stream pipelines and ELT/ETL
• Bonus: experience with contributing to Open Source software
• Bonus: experience with contributing to and writing documentation
The role is based in Helsingborg or Malmö, also possibility of flexible work between the office and home.

Questions?

You will report to Engineering Manager Dzumali Salmani. For more information about the role or if you have any questions, don’t hesitate to reach out to dzumali.salmani@ingka.ikea.com.

If you have any questions about the recruitment process, please reach out to recruiter Usha Rao (usha.rao@ingka.com). We will be interviewing continuously and are looking forward to hearing from you!

PLEASE NOTE!

Due to GDPR we cannot review any applications coming to us in other ways than through our recruitment program.

Our primary concern since the outbreak of corona virus has been the health and safety of our co-workers and candidates. Because of this, we have adapted our recruiting processes to be fully digital.

Studies show that members of underrepresented communities don’t apply for jobs unless they’re 100% “qualified”. If this is part of why you hesitate to apply, we would like you to reconsider and give it a chance. Maybe your profile fits our needs much better than you think. We look forward to receiving your application.

From: “Why Women Don’t Apply for Jobs Unless They’re 100% Qualified” by Tara Sophia Mohr, August 2014”







We’re the ones who make it possible for people to have a smarter life at home and a hassle-free and rewarding shopping experience. Together we work to find new digital solutions for every business need to help make IKEA a great and efficient place to work. We like to think of ourselves as innovative and modern, and we believe that nothing would actually work without us.