Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Consultant - Home-based - £40-55k

Tenth Revolution Group
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Consultant

Data Engineering Consultant - £50,000 - Hybrid

Data Engineering Consultant - £50,000 - Hybrid

Senior Data Engineering Consultant

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Engineering Consultant

Overview

Data Engineering Consultant - Home-based - 40-55k

Please note - you must be based in the UK with the unrestricted right to work in the UK to be eligible for this role, this organisation is not able to offer sponsorship. Whilst this is a home-based role, you will be required to travel to London on a monthly basis.

Are you passionate about unlocking the power of data to drive business success? We're looking for a skilled Data Engineer to join a fast-growing, Microsoft-focused IT consultancy. You\u2019ll work in an agile team to deliver end-to-end data solutions that help clients gain real value from their data.

We foster an inclusive, collaborative culture built on integrity, continuous learning, and a commitment to excellence. If you thrive in a team-first environment and enjoy solving complex data challenges, we\u2019d love to hear from you.

Responsibilities
  • Develop and deliver end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation.
  • Lead client workshops to gather requirements and communicate effectively across technical and business stakeholders.
  • Design and implement ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, or Databricks - experience with at least one of these platforms is essential.
  • Build scalable data lake solutions using medallion architecture principles.
  • Migrate legacy on-premises data systems (SQL Server, SSIS, SSAS, SSRS) to cloud-based platforms.
  • Create insightful dashboards and reports using Power BI to support data-driven decision-making.
  • Provide post-deployment support and continuous improvement of data solutions.
Required Experience
  • Proven experience in Data Engineering or Data Warehouse Development.
  • Hands-on expertise with Microsoft Fabric, Azure Synapse, or Databricks.
  • Strong SQL and Python skills, including stored procedures and notebooks.
  • Knowledge of data lake design and large-scale data integration.
  • Familiarity with Power BI, MDX/DAX, and data warehousing concepts.
  • Certifications such as DP-600, DP-700, or Databricks are a plus.
  • Excellent communication and relationship-building skills.

If you think this role could be a good fit for you then apply today - interviews begin this week! Please submit your CV or contact David Airey on (phone number removed) or at (url removed).

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We\u2019re the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.