Lead a high-performing data engineering team in Edinburgh, driving the development of large-scale, reliable data systems that enable analytics, insight, and operational decision-making across a fast-paced technology organisation.
The Opportunity
You’ll oversee a team of skilled data engineers, guiding the design and delivery of scalable data pipelines and platforms that handle massive datasets. You’ll help your team solve complex engineering challenges while maintaining high standards of data quality, reliability, and operational excellence.
We’re looking for someone with a strong technical background who can provide strategic oversight, direct architectural discussions, review implementations, and ensure engineering best practices are applied, while mentoring and coaching your team to grow their skills and take ownership of delivery. You’ll have previous hands-on experience with Java or Python, cloud platforms (AWS, GCP, or Azure), whilst working closely with cross functional teams to translate analytics and business needs into practical, high-impact data solutions.
The Company
This Edinburgh-based technology company is recognised globally for its innovative, data-driven approach. They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions.
Why this role?
** Lead a talented team of data engineers delivering high-quality, reliable data systems.
** Shape the architecture and delivery of data pipelines, platforms, and products from design through production.
** Promote a culture of autonomy, learning, and continuous improvement within your team.
** Collaborate across teams and stakeholders to translate business priorities into actionable technical solutions.
** Work with modern data technologies and massive datasets to tackle challenging engineering problems.
Who you are:
** An experienced Data Engineering manager who has previously worked hands on in building and maintaining data pipelines or platforms.
** Proven experience managing or mentoring data engineers, providing support and guidance to help teams thrive.
** Comfortable operating in complex environments, delivering high-quality solutions under tight deadlines.
** Passionate about data engineering, modern tooling, and applying best practices to solve challenging technical problems.
** An effective communicator and collaborator, able to bridge technical and business priorities.
The Offer:
You’ll receive a competitive salary, bonus opportunity, and a great benefits package too.
Hybrid working is available, with two days per week onsite in a modern Edinburgh city centre office.
This is a unique chance to lead a talented data engineering team, build world-class data systems, and shape the careers of engineers in a high-impact, high-growth technology environment.
If this sounds exciting, please apply or reach out to Murray Simpson.