Data Engineering Tech Lead

Data Engineer Tech Lead (Azure, Databricks Data Lakes)

12 month contract, hybrid with weekly visits to office in Central London.

Certain Advantage are recruiting for our global commodities trading client in London for a Data Engineer Tech Lead with extensive experience with Databricks, Apache Spark, and data lakes.

By taking on the role of Technical Lead you'll be joining a dynamic team leading the development of our client's data Lakehouse platform.

Make yourself standout if you have delivered projects in the streaming data world, have a good understanding of data governance and data quality best practices. Definitely shout out about any Energy trading experience you can offer!

Responsibilities:

• Lead the design, development, and implementation of data engineering solutions for our data Lakehouse platform.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide technical leadership, mentoring, and coaching to the data engineering team.
• Ensure best practices in data engineering, including data modeling, ETL processes, and data quality.
• Optimize big data workloads in Spark and other big data technologies.
• Manage CI/CD pipelines using Azure DevOps or Git.
• Develop and maintain event-driven pipelines using .NET and other relevant technologies.
• Implement and manage Databricks Unity Catalog and other data governance tools.
• Deliver projects in the streaming data world using Kafka, KSQL DB, and similar technologies.
• Utilize reporting tools such as Power BI and Qlik for data visualization and reporting.

Your Technical Skills will hopefully include

• Extensive experience with Databricks, Apache Spark, and data lakes.
• Proficiency in Python and SQL.
• Experience with CI/CD processes using Azure DevOps or Git.
• Knowledge of streaming data technologies such as Kafka and KSQL DB.
• Familiarity with reporting tools like Power BI and Qlik.
• Software engineering experience with .NET for event-driven pipelines and automation testing.
• Experience with Databricks Unity Catalog.
• Strong skills in data modeling, including Snowflake modeling, star schema modeling, and other techniques.
• Ability to optimize big data workloads in Spark.
• Self-driven and motivated with a strong sense of ownership.
• Proven experience in managing and inspiring technical teams.
• Excellent communication and collaboration skills.
• Ability to effectively interact with business and IT teams.
• Strong problem-solving and analytical skills.
• Ability to provide constructive feedback and foster a positive team environment.

Does this sound like your next career move? Apply today!

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