Data Engineer - Contract

Anson McCade; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Anson McCade is partnering with a major financial services organisation to hire a hands-on Data Engineer for a 6-month contract in London. You will design, develop and maintain scalable data pipelines, and support migration of legacy data assets into modern cloud environments.

The role emphasizes practical data engineering over architecture. You'll work with Databricks, Python and SQL to deliver robust data solutions, ensure quality and security, and collaborate with architects, analysts and

Qualifications

• Strong commercial Data Engineer experience in large enterprise environments.
• Hands-on Databricks experience.
• Advanced SQL skills.
• Extensive Oracle database experience.
• Proven data pipelines and integration solutions.
• Experience with cloud-based data platforms.
• Understanding of data modelling, performance optimisation and data quality.
• Experience across the full software development lifecycle.
• Independent work with minimal supervision.
• Banking/financial services experience and regulated environments.

Responsibilities

• Design, build and optimise scalable ETL/ELT data pipelines.
• Develop data solutions using Databricks, Python and SQL.
• Support migration of legacy data assets to modern cloud architectures.
• Integrate data from multiple enterprise systems across the organisation.
• Create reusable data engineering frameworks and best practices.
• Ensure data quality, security, integrity and performance.
• Troubleshoot production issues and implement sustainable solutions.
• Collaborate with architects, analysts, business stakeholders and delivery teams.
• Document technical approaches and contribute to knowledge sharing.
• Support ongoing development of the wider enterprise data platform.

Skills

Databricks

Python

SQL

Oracle

Data pipelines

Cloud platforms

Data modelling

CI/CD

DevOps

Banking experience

Job description

Contract: 6 months initially, with potential extension

Location: London - 3 days onsite

Start: ASAP

We're currently supporting a major organisation within the financial services sector that is going through a significant data transformation and cloud modernisation programme. They are looking for experienced Data Engineers to join the team and play a hands-on role in designing, developing and maintaining scalable data solutions.

This is a delivery-focused engineering position, suited to someone who enjoys getting hands-on with data platforms and building robust solutions rather than a purely architectural or management-focused role.

The Role

You'll be responsible for developing and optimising data pipelines, supporting the migration of Legacy data platforms into modern cloud-based environments, and integrating data across complex enterprise systems.

You'll work closely with technical and business stakeholders to understand requirements and translate them into reliable, scalable data solutions.

Key Responsibilities

• Design, build and optimise scalable ETL/ELT data pipelines
• Develop data solutions using Databricks, Python and SQL
• Support the migration of data assets from Legacy platforms into modern cloud architectures
• Integrate data from multiple enterprise systems, including Oracle
• Develop reusable data engineering frameworks and best practices
• Ensure data quality, security, integrity and performance
• Troubleshoot production issues and implement sustainable solutions
• Work closely with architects, analysts, business stakeholders and delivery teams
• Produce clear technical documentation and contribute to knowledge sharing
• Support the continued development and improvement of the wider enterprise data platform

Key Skills & Experience

• Strong commercial experience as a Data Engineer within large enterprise environments
• Hands-on experience with Databricks
• Advanced SQL
• Extensive experience working with Oracle databases
• Proven experience building and supporting data pipelines and integration solutions
• Experience working with cloud-based data platforms
• Strong understanding of data modelling, performance optimisation and data quality
• Experience across the full software development lifecycle
• Comfortable working independently and delivering with minimal supervision
• Previous banking or financial services experience
• Experience working within regulated environments
• Exposure to Azure Data Platform services
• Knowledge of CI/CD and DevOps practices
• Experience supporting cloud migration or modernisation programmes
• Understanding of data governance and data lineage

If you're a hands-on Data Engineer with strong Databricks, Python, SQL and Oracle experience and are looking for your next contract opportunity, we'd be keen to hear from you.