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Senterprise - IT Experts Delivered

Data Engineer – Azure, Databricks

Senterprise - IT Experts Delivered

Data Engineer focused on designing and maintaining data pipelines in Azure and Databricks. Collaborating with stakeholders to provide data solutions and support analytics.

Posted 5/18/2026contractStockholm • 🇸🇪 SwedenMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureETLPythonSQL

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

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Applicant 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