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Data Engineer – Azure, Databricks
Senterprise - IT Experts DeliveredData Engineer focused on designing and maintaining data pipelines in Azure and Databricks. Collaborating with stakeholders to provide data solutions and support analytics.
Tech Stack
Tools & technologiesAzureETLPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable data pipelines and ETL processes using Azure and Databricks
- Ingest, transform, and model data from diverse sources to enable reliable analytics and reporting
- Develop semantic models and create Power BI reports to support data-driven decision making
- Perform data quality checks, ensuring data integrity and security
- Document and communicate data engineering processes and outcomes
- Support data awareness and training initiatives within the organization
- Collaborate with business stakeholders to understand requirements and deliver effective data solutions
Requirements
What you’ll need- Minimum 5 years experience as Data engineer
- Hands-on experience with Microsoft Azure, Databricks, SQL, Python (including CICD)
- Experience with data ingestion, transformation, and semantic modeling
- Hands-on experience and confident working with large data volumes is a plus (tables holding trillion of rows)
- Knowledge of data warehousing, data modeling, and ETL concepts
- Familiarity with Power BI
- Familiarity with Azure DevOps, and Azure Storage Explorer
- Excellent communication skills in Swedish and English
Benefits
Comp & perks- Hybridarbete
- Utvecklingsmöjligheter
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETL processesdata ingestiondata transformationsemantic modelingSQLPythondata warehousingdata modelingdata quality checks
Soft Skills
communication skillscollaborationtraining initiatives