Data Engineer

Futureheads; Greater London; Hybrid; GBP 92,000 - 129,000; Full time

Benefits offered by this job

Executive visibility

Cloud-native data environment

Architectural influence

Collaborative data team

Long-term contract potential

Job summary

Futureheads in London is seeking a Senior Data Engineer to drive the design and implementation of scalable data pipelines within a hybrid, six-month contract. The role focuses on building cloud-native analytics capabilities, improving data models, and delivering data integrations to support a high-visibility transformation programme.

You will collaborate with engineering, product and commercial stakeholders, ensuring data quality, observability and governance while producing comprehensive

Qualifications

• Strong production-grade data platform experience.
• Excellent Python development skills.
• Experience with cloud data warehouses.
• Strong data modelling and architecture expertise.
• Experience integrating data across multiple systems and applications.
• Passion for data quality, observability and operational excellence.
• Ability to communicate effectively with technical and non-technical stakeholders.

Responsibilities

• Designing and building scalable data pipelines.
• Improving data architecture and modelling standards.
• Developing integrations across multiple business systems.
• Ensuring data quality, governance, and monitoring best practices.
• Collaborating with cross-functional teams to deliver business-critical initiatives.
• Producing clear technical documentation and knowledge transfer materials.

Skills

Python

Data modelling

Data architecture

Observability

Stakeholder communication

Tools

GCP

BigQuery

Job description

Senior Data Engineer

Contract | London (Hybrid) | 6 Months | £500-£700 per day Outside IR35

We're partnering with a fast-growing technology business that is investing heavily in its Data & AI capabilities and looking for an experienced Senior Data Engineer to support a high-profile transformation programme.

This is an opportunity to join a modern data team working on large-scale data architecture, pipeline development, and the evolution of a cloud-based analytics platform used across the business.

You’ll work closely with engineering, product, and commercial stakeholders to design and enhance data solutions that enable better decision-making, improve data quality, and support future growth.

What you’ll be doing

• Designing and building scalable data pipelines
• Improving data architecture and modelling standards
• Developing integrations across multiple business systems
• Ensuring data quality, governance, and monitoring best practices
• Collaborating with cross-functional teams to deliver business-critical initiatives
• Producing clear technical documentation and knowledge transfer materials

What we’re looking for

• Strong experience building and supporting production-grade data platforms
• Excellent Python development skills
• Experience working with cloud data warehouses
• Strong data modelling and architecture expertise
• Experience integrating data across multiple systems and applications
• A passion for data quality, observability, and operational excellence
• Ability to communicate effectively with both technical and non-technical stakeholders

Desirable

• Experience with modern ELT tooling
• Familiarity with orchestration frameworks
• Exposure to analytics engineering methodologies
• Experience working within high-growth technology environments

Tech Stack

Python • GCP • BigQuery • Modern Data Stack • ELT • Data Modelling • Cloud Data Platforms

Why Apply

• High-impact programme with executive visibility
• Modern cloud-native data environment
• Opportunity to influence architectural decisions
• Collaborative and highly regarded data team
• Long-term contract potential