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 - £50,000 - Hybrid

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Engineering Consultant

Data Engineering - £70,000 - Hybrid

Data Engineering Team Lead - Remote - Databricks - Azure - 80k

Data Consultant(s) - Data Engineer

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.