Junior Data Engineer Build & Grow Data
Listed on 2026-07-26
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IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
About Us
At Oakland, we help businesses unlock the power of their data. Whetherit'sdata 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. Wedon’tjust 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, soyou’llhave plenty of opportunities to diversify your skillset.
We meethigh 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’tjustbenefitthe bottom line but also our people, communities, and the planet.
Andit’snot just us sayingwe’rea great placeto work... we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies!
We’reall about creating an environment where people can grow, do meaningful work, and enjoy the journey.
In April 2025, Oakland wasacquiredby Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deepexpertisein 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, andwe’relooking forward to achieving great things together.
The role:As a tech-agnostic consultancy, Engineers at Oakland develop a broad range of technical skills. You'll be a programmer at heart, with a strong foundation in data or software engineering and a curiosity for learning new tools, technologies, and approaches.
No two projects are the same, so we encourage our Engineers to become technology polyglots and find the best solution to our clients' problems. You'll work alongside experienced colleagues across a variety of engagements, gaining exposure to different technologies while continuing to develop your technical expertise.
Our work spans data platform implementations, business intelligence, web applications, AI solutions, and much more. This means you'll have the opportunity to contribute to real client projects while growing into a well-rounded technologist within our community of 25+ Engineers.
As a Junior Engineer, you'll spend much of your time delivering project work, supported by experienced team members. You'll also spend time investing in ongoing learning and development to build your skills and broaden your experience.
We're Looking For:Essential:
- Around 1-2 years of commercial experience in software engineering, data engineering, or a related technical field.
- Working knowledge of SQL, Python, and least one additional programming language such as C#, C++, JavaScript, or Type Script.
- A willingness to learn new technologies and work across different areas of our technology stack.
- Strong problem-solving skills and a collaborative approach to working within project teams.
- Exposure to modern data platforms such as Microsoft Fabric, Snowflake, or Databricks.
- Experience developing web applications using React or similar front-end frameworks.
- Familiarity with Dev Ops concepts such as Infrastructure as Code (IaC), CI/CD pipelines, Docker, Terraform, or Kubernetes.
- An interest in AI and emerging technologies, with some exposure to areas such as Generative AI, LLMs, RAG solutions, prompt engineering, or agentic applications.
- Azure certifications such as DP-900, DP-700, DP-600, AI-901 or other Azure data and AI certifications.
- Snowflake Snow Pro Core.
- Equivalent certifications in cloud, data, AI, or software engineering technologies.
Weoperatea blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel…
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