Data Engineering Tech Lead - Synapse/PySpark

Tech Lead - Data Engineering
Are you a seasoned Data Engineering leader with a passion for designing cutting-edge Azure Data Platforms? Do you thrive in a collaborative environment where you can mentor a team while driving innovation in cloud-based data solutions? If so, we want to hear from you!
  
About the Role
We are seeking a Data Engineering Tech Lead to drive the strategic and technical development of an enterprise-wide Azure Data Platform.
  
In this role, you will:

• Lead the technical direction for the Azure Data Platform.
• Design, develop, and implement scalable, reusable data pipelines.
• Drive best practices in data engineering, including metadata management, CI/CD pipelines, and DevOps.
• Provide technical leadership and mentor a team of data engineers.
• Work closely with stakeholders, software vendors, and project teams to deliver business value.

What We’re Looking For:

• 10+ years of data engineering experience.
• Extensive experience using Azure with expertise in Synapse
• Strong expertise in Python (PySpark), SQL, DevOps, and CI/CD pipelines.
• Experience with data modelling and metadata-driven pipeline development.
• Knowledge of modern Lakehouse architectures and cloud-based platforms like Snowflake.
• A track record of mentoring teams and driving technical excellence.
• Financial services or insurance industry experience is highly regarded.

Why Apply?

• Work in a high-impact leadership role shaping the future of data.
• Flexible work options
• Be part of an inclusive and innovative culture.
• Lead a high-performing team that values excellence and collaboration.