Senior Data Engineer

Senior Data Engineer Your new company
You'll be joining a modern, forward-thinking data organisation focused on building a scalable, cloud-native analytics ecosystem. The environment values engineering excellence, automation, and innovation, with a strong emphasis on modern data tooling, AI-driven productivity, and robust governance.
Your new role
We're seeking a Senior Data Engineer to drive the evolution of our data platform and lead a high-performing team of data engineers. Reporting to the Head of Architecture, Engineering & Data, you will be responsible for designing, building, and scaling our data platform to support critical business functions across the enterprise. This role combines hands-on technical leadership with strategic platform development, ensuring our data infrastructure scales with business growth while maintaining the highest standards of reliability and performance.

Previously led and mentored a team of data engineers, fostering technical excellence and innovation.

Drive adoption of best practices in data engineering and data analytics.

Collaborate with cross-functional teams to translate business requirements into technical solutions.

Establish technical standards and architectural guidelines for the data platform.

Develop comprehensive data modelling frameworks and governance protocols

Experience in designing and implementation of disaster recovery and business continuity frameworks.

Balance competing stakeholder expectations while maintaining platform roadmap focus.

Manage platform capacity planning and cost optimisation initiatives.

Communicate technical concepts effectively to both technical and non-technical audiences.

Champion data quality initiatives and automated testing frameworks.

Understanding of Batch and Streaming data ingestion patterns.

Delivery management experience in project planning and execution across complex technical initiatives.

What you'll need to succeed

Previously led and mentored a team of data engineers, fostering technical excellence and innovation.

Drive adoption of best practices in data engineering and data analytics.

Collaborate with cross-functional teams to translate business requirements into technical solutions.

Establish technical standards and architectural guidelines for the data platform.

Develop comprehensive data modelling frameworks and governance protocols

Experience in designing and implementation of disaster recovery and business continuity frameworks

Balance competing stakeholder expectations while maintaining platform roadmap focus.

Manage platform capacity planning and cost optimisation initiatives.

Communicate technical concepts effectively to both technical and non-technical audiences.

Champion data quality initiatives and automated testing frameworks.

Understanding of Batch and Streaming data ingestion patterns.

Delivery management experience in project planning and execution across complex technical initiatives.

Desirable skills and commercial experience

Degree in Computer Science, Data Engineering, or related field.

Databricks and DBT experience is required.

8+ years' experience in data platform development and big data technologies.

Hands-on experience working with Pyspark and SQL

Deep experience with the databricks platform in AWS/Azure cloud environments.

Strong understanding of medallion architecture and modern Lakehouse patterns.

Expertise in data modelling and governance frameworks for enterprise environments).

Excellent communication, collaboration, and interpersonal skills.

Proven ability to deliver complex environments.

Financial services experience.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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