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Harnham - Data & Analytics Recruitment Careers

Manchester / Global

Data Engineer

  • Remote

Job Description

Data Engineer up to £55,000 + Benefits

Remote (UK) This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team. THE COMPANY Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business. THE ROLE You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.Key responsibilities include:

Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.

Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.

Building and maintaining data models using dbt to support analytics and reporting requirements.

Supporting the development of AI-driven data products and semantic layers.

Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE You will bring strong capability in:

Python development.

Advanced SQL.

Building and maintaining data pipelines.

Data modelling and warehousing fundamentals.

dbt or similar modern transformation frameworks

Experience with AWS data services.

Exposure to Kafka, Spark, streaming data, or modern BI tools.

Interest in AI, analytics engineering, and data products

THE BENEFITS You will receive a salary of up to £5,000 depending on experience, along with a compr...

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