Senior Data Engineer

Senior Data Engineer

Remote

Senior Data Engineer

Required

• 8 years of progressive data engineering and 3+ years of experience in a leadership experience supporting customer-facing products at scale.
• Deep expertise with Microsoft Azure architecture, including PaaS databases, Synapse, ADF pipelines, and Synapse stored procedures.
• Required 3+ years of experience working with Databricks (Delta Live Tables, Unity Catalog mandatory).
• Strong experience of building and managing Azure Data Factory pipelines.
• Strong skills in Python and PySpark, with additional knowledge of Spark, MapReduce, and Scala, a plus.
• Proficiency in developing batch ETL pipelines, real-time pipelines and a strong understanding of dimensional modelling, ETL, data governance, warehousing, and working with structured/unstructured data.

What You'll Do

• Design, build, and optimise large-scale data pipelines using Databricks, Delta Live Tables, ADF, and PySpark.
• Develop and maintain data ingestion and transformation frameworks that integrate multiple sources into Azure-based platforms.
• Implement and manage Unity Catalog for data governance, security, and lineage.
• Collaborate with developers, analysts, and product teams to deliver high-quality, reliable datasets for analytics and customer-facing applications.
• Monitor and tune performance across Azure SQL, Cosmos DB, and Azure Data Lake Gen2 to ensure scalability.
• Be a hands-on leader: review code, enforce best practices, and mentor junior engineers.

This is the position for you if you want to work for a company that values its employees' health and well-being and invests in developing and rewarding talent.

If you are interested in learning more about the opportunity, please email