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Data Engineering Lead

Summary

Lead a team to design and deliver a modern cloud-based data platform for a financial services transformation, using Databricks, dbt, AWS, and Spark.


Data Engineering Lead

London (Hybrid) | Contract | Inside IR35 | Up to £600 per day

Data Engineering Lead | Financial Services Transformation Programme

We are supporting a major financial services transformation programme and are seeking an experienced Data Engineering Lead to drive the delivery of a modern cloud-based data platform.

This role requires a senior data engineering professional who can provide technical leadership across engineering teams while remaining hands-on when required. You will play a key role in designing scalable data solutions, establishing engineering standards, and leading the delivery of critical data initiatives within a complex enterprise environment.

Working closely with Data Architects, Product Owners and business stakeholders, you will help shape and deliver a strategic data platform transformation.

Key Responsibilities
  • Lead data engineering delivery across multiple workstreams.
  • Provide technical leadership and guidance to Data Engineers.
  • Define and implement engineering standards, best practices and governance.
  • Design and oversee scalable data pipelines and transformation frameworks.
  • Collaborate with Data Architects to deliver target-state platform architecture.
  • Drive the migration of data assets from legacy platforms to modern cloud technologies.
  • Ensure data platforms are robust, secure, scalable and operationally efficient.
  • Partner with Product Owners and business stakeholders to deliver value-driven solutions.
  • Support architecture reviews and technical governance forums.
  • Mentor engineering teams and drive continuous improvement initiatives.
Essential ExperienceLeadership & Delivery
  • Proven experience leading Data Engineering teams within large enterprise environments.
  • Experience delivering complex data transformation programmes.
  • Strong stakeholder management and communication skills.
  • Experience working across cross-functional delivery teams.
Data Engineering & Platforms
  • Databricks
  • Delta Lake
  • Unity Catalog
  • dbt
  • Spark / PySpark
  • Data pipeline development
  • Lakehouse and modern data platform architectures
Cloud Technologies
  • AWS
    • S3
    • Glue
    • Airflow
Data Modelling & Architecture
  • Data Vault
  • Kimball
  • Data warehousing concepts and best practices
Modernisation Experience

Experience supporting migrations from technologies such as:

  • Teradata
  • Hadoop
  • Oracle
  • SAS
Preferred Experience
  • Financial Services or Banking sector experience.
  • Experience working within regulated environments.
  • Large-scale cloud transformation programmes.
  • Agile delivery methodologies.
  • Experience working alongside Data Product Owners and Data Architects.
Skills & Attributes
  • Strong technical leadership capability.
  • Excellent communication and stakeholder engagement skills.
  • Ability to influence both technical and non-technical audiences.
  • Strong problem-solving and decision-making abilities.
  • Delivery-focused mindset with a commitment to quality.
  • Comfortable operating within fast-paced transformation programmes.
Contract Details
  • Day Rate: Up to £600 per day
  • Contract Type: Inside IR35
  • Duration: Initial contract through to December, with potential for extension
  • Location: London (Hybrid, subject to confirmation)
  • Start Date: ASAP / Short notice preferred
Apply

If you are an experienced Data Engineering Lead with expertise across Databricks, dbt and AWS, and a proven track record delivering enterprise-scale data transformation initiatives, please apply with your latest CV for immediate consideration.


See also