Haystack
← Back to Jobs
Full time
Engineering
AM

Date Engineer

Anson McCadeLondon🇬🇧United KingdomPosted 31 Aug 2026

Why This Role Stands Out

This hybrid Data Engineer role offers a competitive daily rate and the chance to contribute to a significant data transformation program within a reputable organization. You'll thrive here if you are a hands-on developer with experience in building scalable data pipelines using Databricks, Python, and SQL, eager to apply your skills in a dynamic, complex environment. Don't miss this opportunity to enhance your expertise and make a tangible impact.

Quick Overview

Salary
£450 - £460/mo
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago

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.

Similar jobs