Data Engineer

eFinancialCareers; Greater London; Hybrid; GBP 45,000 - 60,000; Part time

Job summary

eFinancialCareers is seeking a Data Engineer to support a data transformation and cloud modernisation programme in Central London. The role focuses on building scalable ETL/ELT pipelines using Databricks, Python and SQL, and migrating data assets to modern cloud architectures.

The ideal candidate has strong Oracle database experience, data modelling and data quality controls, and can deliver high-quality solutions with minimal supervision in a collaborative, stakeholder-driven environment.

Qualifications

• Must have strong commercial Data Engineer experience in enterprise settings.
• Hands-on Databricks expertise.
• Advanced SQL development skills.
• Strong Python development experience.
• Extensive Oracle database experience.
• Proven ability to build and support data pipelines.
• Experience with cloud-based data platforms.
• Knowledge of data modelling, performance optimisation and data quality controls.
• Experience across the full software development lifecycle.
• Ability to work independently with minimal supervision.

Responsibilities

• Design, build and optimise scalable ETL/ELT data pipelines.
• Develop solutions using Databricks, Python and SQL.
• Migrate data assets from legacy platforms to cloud-based architectures.
• Integrate data from multiple enterprise systems including Oracle.
• Develop reusable data engineering frameworks and best practices.
• Ensure data quality, integrity, security and performance.
• Troubleshoot production issues and implement fixes.
• Collaborate with architects, data analysts, and stakeholders to translate requirements.
• Produce technical documentation and support knowledge transfer.

Skills

Databricks

SQL development

Python development

Oracle databases

Data pipelines

Cloud platforms

Data modeling

SDLC experience

Independent delivery

Stakeholder communication

Tools

Oracle

Azure Data Platform

CI/CD

ETL frameworks

Job description

£450 - £600 GBP

Hybrid WORKING

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

Data Engineer

Seeking experienced Data Engineers to support a growing data transformation and cloud modernisation programme.

This role is suited to strong developers and delivery-focused engineers rather than technical leads. Candidates should be comfortable working independently, collaborating with business and technology stakeholders, and delivering high-quality solutions with minimal supervision.

Key Responsibilities

• Design, build and optimise scalable ETL/ELT data pipelines.
• Develop and maintain solutions using Databricks, Python and SQL.
• Support migration of data assets from legacy platforms into modern cloud-based architectures.
• Integrate data from multiple enterprise systems, including Oracle databases.
• Develop reusable data engineering frameworks and best practices.
• Ensure data quality, integrity, security and performance standards are met.
• Troubleshoot production issues and implement sustainable fixes.
• Collaborate with architects, data analysts, business stakeholders and delivery teams to translate requirements into technical solutions.
• Produce clear technical documentation and support knowledge transfer activities.

Essential Skills & Experience

• Strong commercial experience as a Data Engineer within large enterprise environments.
• Hands-on expertise with Databricks.
• Advanced SQL development skills.
• Strong Python development experience.
• Extensive experience working with Oracle databases.
• Proven experience building and supporting data pipelines and data integration solutions.
• Experience working within cloud-based data platforms.
• Strong understanding of data modelling, performance optimisation and data quality controls.
• Experience working across the full software development lifecycle.
• Ability to work independently with minimal supervision.
• Excellent problem-solving and stakeholder communication skills.

Desirable Experience

• Banking or Financial Services experience.
• Experience working within regulated environments.
• Exposure to Azure Data Platform services.
• Knowledge of CI/CD and DevOps practices for data engineering.
• Experience supporting cloud migration or modernisation programmes.
• Familiarity with data governance and data lineage principles.

Preferred Background

The ideal candidate will have:

• 5+ years of Data Engineering experience.
• Strong development capability rather than architecture or management focus.
• Experience delivering data solutions within complex enterprise organisations.
• Ability to quickly understand business requirements and convert them into robust technical solutions.
• A proactive and self-sufficient approach to delivery.