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# Data Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £75,000 - £95,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Dimensional Modeling, Data Flow Control, Python (Programming Language), Cloud Services, SQL Databases, File Transfer Protocol (FTP), Data Analytics, Star Schema, Apache Kafka, Data Management, Video Streaming, Terraform, Data Pipelines
- **Published:** November 6, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-engineer/57531781

## About the Role

You will bring strong capability in:

 * Hands-on GCP experience in a commercial environment.
 * Strong expertise with dbt
 * Advanced dimensional modelling skills
 * Strong Python and SQL experience
 * Experience with Terraform, Kafka, Dataflow or Pub/Sub., * Amazon Web Services (AWS)
 * Cloud Services & Infrastructure
 * Communication Skills
 * Data Pipeline Development
 * Data Warehousing
 * ETL
 * Microsoft Azure
 * Python Programming
 * SQL Databases
 * Stakeholder Management

## Description

This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You'll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.
THE COMPANY:
This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.
THE ROLE:
You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation's wider data estate.
Key responsibilities include:

 * Building end-to-end data solutions, from ingestion through to business-facing outputs.
 * Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
 * Designing and optimising dbt transformation layers and warehouse workflows.
 * Creating dimensional models, fact tables and star schema designs to support analytics at scale.