Senior Data Engineering Consultant
Listed on 2026-02-16
-
IT/Tech
Cloud Computing, Data Engineer
Senior Data Engineering Consultant
We are open to full-time or part-time applicants for this role! Are you returning from maternity leave? We'd love to hear from you!
💸Salary
: £70,000 to £90,000 (depending on experience).
📍Location
:
Remote – must be based within the UK. Occasional visits to see customers and the team.
🧠Interview process: Two rounds. 1:
Get to know you chat with the People Recruitment Manager; 2:
Technical competency with the Hiring Lead and a Team Member.
🤝Our Values: Advancing, Come as you are, Zero burnout, Greta goal, We all level up together and Transparency
Learn more about us: You Tube, Totally Skewed Podcast & our Blogs.
Who Are We?Advancing Analytics are a market leader in delivering bleeding edge analytical solutions for customers all over the world. To thrive in today's market, businesses need to implement AI built on a solid, reliable Data Platform, and we are looking for you to help us build it!
Who are we looking for?Dedicated individuals who blend technical passion with the honesty and empathy needed for client consulting. People who love data and strongly believe in sharing knowledge, skills and wisdom both internally and with the wider data community. Someone who thrives in an agile environment, balancing their technical prowess with the pragmatic needs of the project. For the Senior Consultant role we expect a good understanding of our core tech stack and the ability to see the end-to-end solution whilst leading a project.
RequiredTools and Technologies:
- Microsoft Azure and cloud computing concepts
- Apache Spark – Databricks, Microsoft Fabric or another Spark engine
- Python – we build most of our solutions in Python
- SQL – writing complex high-performance queries, understanding how queries execute on different compute technologies
- Azure Data Factory or other cloud orchestration tools
- Azure Data Lake storage and Delta Lake
- Unity Catalog, Purview or other Data Governance tools
- IAC tool such as Terraform, Azure Dev Ops
- Visualisation Tools – Power BI, Tableau
- Streaming Data – Azure Stream Analytics, Event Hubs, IoT Hubs
- Building parallel systems – Distributed compute engines
- Azure Functions – Python, C#
- Requirements gathering and client consulting
- Agile project management
- Understanding of OO Development Practices
- ETL Approaches – Data Quality, Resilience, Observability
- Understanding of CI/CD Methodologies and SDLC
We are a small company and encourage everyone to have a voice within our collaborative and inclusive team from day one.
As a Microsoft Specialised Partner, Databricks Elite Partner, and AWS Partner, you will have access to the latest tech and training opportunities the industry has to offer. We are aware this is a rapidly changing market and are committed to investing in the long-term goals of our employees. We love being engaged in the wider tech community and frequently present at events, sponsor events such as Big Data London, SQLBits and organise leading community events including Databricks and Microsoft Data & AI meetups around the UK, and the Global AI Bootcamp London.
We encourage our team to get involved in the community, whether that’s in the form of a personal blog or an initiative you are passionate about advocating, we will support you!
Benefits and perks- Industry matching Maternity & Paternity policy 🐣
- Private Medical & Dental Care plus Eye care schemes 👁️
- Health & Well-being fund 🩺
- 25 Days Annual Leave, Birthday Leave & Charity Leave 🌴
- Frequent away days with the team 🚃
- Annual Bonus Scheme
- Flexible Working Hours
- Electric Car Scheme 🚗
🚀 Advancing – the projects that get us all out of bed are challenging and push the limits of what is currently possible. We work on the bleeding edge and challenge the analytical industry daily.
🌈 Come as you are – we are an inclusive company. When you work with us, rest assured you're working in a safe environment.
❌ Zero burnout – too often technology teams are worked too hard or stretched too thin. We have seen it happen, and we never want to be a company that pushes our staff to breaking…
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