Senior Data Engineer

About Us

At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‑on experts who love solving problems and making a difference. We don’t just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way.

Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi‑year data transformations to specific, shorter‑term assignments, so you’ll have plenty of opportunities to diversify your skillset.

We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don’t just benefit the bottom line but also our people, communities, and the planet.

And it’s not just us saying we’re a great place to work… we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We’re all about creating an environment where people can grow, do meaningful work, and enjoy the journey.

In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland’s deep expertise in data and AI consulting with Softcat’s extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we’re looking forward to achieving great things together.

As a senior data engineer in this tech‑agnostic consultancy, you will develop broad and adaptable skillsets. You’ll remain hands‑on while also providing technical leadership across projects, teams, and clients. You’ll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client’s needs.

Alongside delivering high‑quality engineering outcomes, you’ll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers.

• Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, Type Script, C++).
• Significant experience designing, building, and supporting scalable engineering solutions.
• Experience working within cloud environments (Azure, AWS, or GCP).
• A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns.
• Experience leading technical work streams, owning technical decisions, and providing guidance to other engineers.
• The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non‑technical audiences.
• Experience in mentoring, coaching, and supporting the development of junior and mid‑level engineers.

• Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar.
• Experience with solution and/or data architecture.
• Front‑end software engineering experience, including building web applications with React (or similar frameworks).
• Strong Dev Ops and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes.
• AI engineering and architecture experience, including…