Date Engineer

eFinancialCareers; Greater London; Hybrid; GBP 83,000 - 85,000; Part time

Job summary

eFinancialCareers is seeking two hands-on Data Engineers in London for a data transformation and cloud modernisation programme. The role focuses on delivering scalable data pipelines using Databricks, Python and SQL within a complex, regulated enterprise environment.

Responsibilities include migrating legacy data to cloud platforms, integrating data from Oracle and other systems, and ensuring data quality and performance. 3 days per week on-site; ASAP start.

Qualifications

• Hands-on Data Engineer experience in large-scale enterprise environments.
• Strong SQL and Python development skills with data pipelines experience.
• Experience building data solutions on cloud platforms and modern data architectures.
• Knowledge of data modelling, quality controls and performance optimisation.

Responsibilities

• Design, build and optimise scalable ETL/ELT pipelines.
• Develop data solutions using Databricks, Python and SQL.
• Migrate legacy data assets to modern cloud-based architectures.
• Integrate data from multiple enterprise systems including Oracle.
• Create reusable data engineering frameworks and improve best practices.
• Ensure data quality, security and performance; troubleshoot issues.
• Translate requirements into robust engineering solutions; document work.

Skills

SQL

Python

Data pipelines

Cloud platforms

Data modelling

Stakeholder communication

Independent delivery

Tools

Databricks

Oracle databases

Job description

£450--460 GBP

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Contract

Data Engineer

Contract: 6 months initially, with potential extension

Rate: £450-£460 per day

IR35: Inside IR35

Location: London - 3 days per week on‑site

Start: ASAP

We are looking for two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a complex, highly regulated environment.

This is a hands‑on engineering role suited to strong developers who enjoy building scalable data solutions and working across large enterprise technology estates. You will play a key role in designing, developing and maintaining data pipelines, supporting the migration of legacy data assets to modern cloud platforms, and delivering high‑quality enterprise data solutions.

This role is focused on hands‑on development and delivery , rather than architecture or people management.

The Role

As a Data Engineer, you will work closely with architects, analysts, business stakeholders and delivery teams to design and build robust data solutions.

Key responsibilities will include:

• Designing, building and optimising scalable ETL/ELT data pipelines
• Developing and maintaining data solutions using Databricks, Python and SQL
• Supporting the migration of data assets from legacy platforms into modern cloud-based architectures
• Integrating data from multiple enterprise systems, including Oracle databases
• Building reusable data engineering frameworks and improving development best practices
• Ensuring high standards of data quality, integrity, security and performance
• Troubleshooting production issues and implementing sustainable solutions
• Translating business and technical requirements into robust engineering solutions
• Producing clear technical documentation and supporting knowledge transfer
• Contributing to the ongoing development and improvement of a modern enterprise data platform

What We're Looking For

We are looking for candidates with strong commercial Data Engineering experience gained within large‑scale or complex enterprise environments.

Essential Skills

• Strong commercial experience as a Data Engineer
• Hands‑on experience with Databricks
• Advanced SQL development skills
• Strong Python development experience
• Extensive experience working with Oracle databases
• Proven experience designing, building and supporting data pipelines and integration solutions
• Experience working with cloud-based data platforms
• Good understanding of data modelling, performance optimisation and data quality controls
• Experience across the full software development lifecycle
• Ability to work independently and take ownership of technical delivery
• Strong problem‑solving and stakeholder communication skills

Desirable Experience

• Banking or wider Financial Services experience
• Experience working within highly regulated environments
• Exposure to Azure Data Platform services
• Experience with CI/CD and DevOps practices within Data Engineering
• Previous involvement in cloud migration or data modernisation programmes
• Understanding of data governance and data lineage principles

The Ideal Candidate

This role would suit a hands‑on Data Engineer with around 5+ years of experience who is comfortable working within a complex enterprise environment.

You should be a strong developer first and foremost, with the ability to quickly understand requirements and translate them into scalable, reliable technical solutions.

This is an excellent opportunity to join a significant data transformation programme and work with modern technologies including Databricks, Python, SQL, Oracle and cloud‑based data platforms .

Please note: This is a London‑based hybrid role requiring 3 days per week on‑site.