Job Description

Make an Impact

We are looking for a Data Engineer who is proficient and experienced across the full dataflow lifecycle from requirements gathering through pipeline development and semantic layer delivery.

What You’ll Do

• Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF) and other Azure components.
• Design, build, and maintain scalable SQL database solutions.
• Advise on and support the creation of the semantic layer.
• Collaborate with cross‑functional teams to define data requirements and translate them into data models.
• Develop documentation and ensure smooth knowledge transfer for all solutions built.
• Ensure best practices regarding process quality, observability, and scalability.

What You Should Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 1–2 years of experience in Data Engineering or a related role.
• Proficiency with Azure technologies, including Azure Data Factory and SQL Server.
• Strong SQL skills, including complex queries, stored procedures, and advanced table/trigger design for data integrity.
• Demonstrated experience integrating with various data‑serving APIs and transforming data into multiple formats.
• Excellent understanding of data modeling and database design.
• Strong attention to detail and ability to work with large datasets.
• Familiarity with agile methodologies and version control tools.
• A strong sense of ownership and the ability to work through ambiguity.

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