Data Engineer

Harnham
Manchester, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£45,000.0 - £55,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Data as a Services Information Engineering Data Infrastructure Data Systems Information Lifecycle Management Mobile Application Software Python (Programming Language) Data Streaming Apache Spark
+3 more
Data Layers Apache Kafka Data Pipelines

Job description

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.

Requirements

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

Benefits & conditions

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

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Apply on www.reed.co.uk
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