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Senior data engineer

Harnham Search & Selection
Data engineer
Posted: 19 November
Offer description

Senior Data Engineer

Salary: £70,000

Location: Wiltshire (2 Days a Week in Office)

Step into a leadership role where your technical expertise fuels strategic decision-making across multiple regions. Own the evolution of a resilient, scalable data ecosystem built on Azure and next-gen analytics tools

The Opportunity

This is an exciting opportunity to join a forward-thinking organisation that's putting data at the heart of its strategy and decision-making. You'll play a key role in shaping and managing a modern, cloud-based data infrastructure that supports operations across the UK, Ireland, and North America.

As a senior leader within a collaborative data and analytics team, you'll have the freedom to innovate, implement new technologies, and influence how data drives business growth. You'll lead cloud migration initiatives, enhance system performance, and ensure data quality and security at scale. If you're looking to make a measurable impact and take ownership of a global data ecosystem, this role offers the ideal platform to do it.

The Role and Responsibilities

In this role, you'll take ownership of a complex, cloud-based data infrastructure supporting multiple international markets. You'll lead the development, optimisation, and governance of data pipelines and warehouses, ensuring reliability, scalability, and top-tier data quality. The position involves hands-on work with technologies such as Azure, SQL/T-SQL, SSIS, and Databricks, alongside exposure to data modeling, integration, and DevOps processes.

You'll collaborate closely with analytics, IT, and security teams to deliver secure, high-performing data environments and support advanced business intelligence and predictive analytics initiatives. The ideal candidate brings at least five years of experience in production data engineering, a problem-solving mindset, and a passion for driving continuous improvement in data infrastructure and performance.

Interview Process: 2 Stage

1. Initial competency interviews on Teams
2. Face to Face interview, competency and technical

If you're an experienced data engineer, looking for an exciting career change we would love to hear from you today, apply now!

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