Azure Data Engineer

SouthRivers Data is a data & AI engineering partner. We strengthen the teams of consultancies and end clients across the EU, UK, and North America with senior data and AI engineers.

We're looking for an experienced Data Engineer to drive the development and maintenance of our data platform built on Azure. If you have strong hands-on experience with Databricks and Microsoft Fabric, we'd love to talk to you.

Responsibilities:

Design, build, and maintain ETL/ELT pipelines using Azure Data Factory / Databricks

Work with Microsoft Fabric: building data pipelines, lakehouse architecture, and semantic models

Optimize performance and cost efficiency of data solutions on Azure

Ensure data quality, reliability, and scalability across pipelines

Collaborate with data analysts, ML engineers, and product teams to understand data requirements

Contribute to data architecture design (data modeling, data governance)

Conduct code reviews and mentor junior/mid-level engineers

Requirements:

3+ years of experience in Data Engineering

Deep expertise in Azure (Data Factory, Synapse, Storage, Key Vault, etc.)

Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog)

Experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake)

Strong proficiency in SQL and Python (or Scala)

Experience building and optimizing ETL/ELT processes

Solid understanding of data modeling principles (dimensional modeling, star/snowflake schema)

Nice to Have:

Experience with CI/CD for data pipelines (Azure DevOps, GitHub Actions)

Knowledge of Power BI

Experience in a regulated/enterprise environment

Microsoft certifications (DP-203, Fabric Analytics Engineer, etc.)