Data Engineer

Data Engineer

Location: Stockholm
Employment Type: Permanent
Work Arrangement: Hybrid (1-2 days in office per week)
Language Requirement: English speakers considered, but preference for fluent Swedish

About the Company

Our company is a leading player in its industry, supporting businesses and professionals with data-driven solutions. We serve a vast network of clients, ensuring seamless operations and growth opportunities. With a strong presence in Sweden, we operate multiple locations and work with numerous partners.

This is a fantastic opportunity to be part of a newly formed team working on exciting data-driven projects across various business units, including finance, marketing, sales, and advanced analytics. The role offers significant responsibility and room for growth within a well-funded and expanding data team.

Key Responsibilities

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Design, develop, maintain, and troubleshoot ETL/ELT pipelines using Python and SQL.
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Consolidate data from different companies within the group.
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Improve data quality and standardization through optimized SQL transformations.
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Integrate with various data sources from subsidiaries.
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Collaborate with data experts to gain a deep understanding of available data.
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Participate in code reviews to uphold high coding standards within the team.
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Work closely with ML Engineers, Data Engineers, and business users.
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Optional travel to other offices if desired.

Technical Environment

We have recently built a new data platform utilizing:

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DBT in Snowflake with Airflow on Kubernetes.
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DevOps tools such as Terraform on Azure.
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Python-based integration with APIs and databases.

Required Skills & Experience

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Bachelor's degree in Computer Science, Engineering, or a related field.
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At least 1 year of experience in Data or Software Engineering.
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Strong SQL skills and experience with data validation and quality checks.
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Familiarity with cloud platforms (preferably Azure).
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Experience with configuration management tools.
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Ability to communicate technical details with business users.

Preferred Skills

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MLOps experience.
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DevOps experience.
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Familiarity with monitoring and logging tools such as Grafana or Kibana.
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Swedish language skills (preferred but not required).

Why Join Us?

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Be part of a small but impactful team working on a global initiative to build a data platform supporting all business units within the group.
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Work on a high-priority, well-funded data project tied to a major enterprise-wide initiative.
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Opportunity to collaborate closely with the Advanced Analytics team, gaining exposure to Data Science and Machine Learning.
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The Data team is receiving significant investment, making this an excellent time to join and contribute to a growing function.
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Competitive salary and top-tier benefits.



Interested? Apply now and be part of a team driving data innovation!