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

Apply Now

Senior Data Engineer

Cognitive Group | Part of the Focus Cloud Group
Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Role:Lead Data Engineer with expertise in Azure Data Services and Power BI

Location:Hybrid/Home based/Flexible

Salary:£70,000 - £90,000 p/a + bonus + benefits

Must beeligible for SC Clearance


Are you passionate about turning data into actionable insights? Do you thrive in a dynamic environment where your skills can shape business strategies?


One of my clients hae recently won a £50m project which has opened up opportunities for x2 Data leads to join their team.


As a dedicated MS specialist company, they work with the latest MS tech tools and Azure services from Power BI to ADF, Data Lake storage, Azure Synaps, Purview for data governance and many more, meaning you will always be upskilled and aligned with the newest versions of the tech and services.


Key Responsibilities:


  • Design, develop, and maintain data pipelines usingAzure Data Services(Data Factory, Databricks, Data Lake, Synapse).
  • Create, optimize, and manage complex data models, ensuring efficient data flow and high-performance processing.
  • Develop and managePower BIdashboards, delivering powerful insights and interactive visualizations.
  • Collaborate with cross-functional teams to gather requirements, integrate data from various sources, and provide technical support.
  • Ensure data security, integrity, and compliance across the Azure platform.


Looking For:


  • Proven experience withAzure Data Services: Data Factory, Data Lake, Synapse Analytics, Databricks, etc.
  • Strong proficiency in building and managingPower BIdashboards and reports.
  • Expertise inSQLandETLprocesses.
  • Solid understanding ofdata warehousing,data modeling, anddata integration.
  • Problem-solving mindset with a passion for optimizing data processes.
  • Excellent communication skills to convey technical insights to non-technical stakeholders.


Although this organisaion is flexible with hybrid working, you MUST be UK based and SC Clearable.


For more information, apply below or email your cv to

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.