Data Engineer
Our client, a technology-led business with a growing engineering presence, is looking to hire a Data Engineer into a collaborative and delivery-focused team. This role sits at the centre of building the pipelines, platforms and data foundations that support analytics, modelling and wider business decision-making. It's a strong opportunity for someone who enjoys owning technical problems end-to-end, working with modern data tooling, and partnering with a range of stakeholders to turn complex data needs into reliable, scalable solutions.
What you'll be doing
- Design and build data pipelines that bring together information from multiple internal and external sources
- Develop and improve scalable data products that support analytics and evolving business needs
- Help ensure data is reliable, well-structured and accessible for downstream use
- Work closely with engineers, analysts and stakeholders to solve practical data challenges
- Contribute to testing, troubleshooting and the ongoing improvement of data platforms
What they're looking for
- Around 3-6 years' experience in data engineering or a related role
- Strong hands-on skills in Python and SQL
- Experience building data-intensive systems and working with large-scale datasets
- Exposure to modern data tooling such as Airflow, Spark, Databricks, or similar platforms
- Familiarity with at least one major cloud environment such as AWS, Azure or GCP
- A strong communicator who enjoys working in a collaborative, delivery-oriented environment
- A degree in Computer Science or another quantitative discipline would be beneficial
Why consider it
- A chance to work on meaningful data infrastructure with clear impact across the wider business
- Broad exposure to modern engineering practices, varied technical problems and strong stakeholder interaction
- A role with genuine ownership for someone who wants to combine hands-on delivery with practical business value
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