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

Apply Now

Senior Data Engineer

La Fosse
Woking
9 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

Senior Data Engineer

Location:Surrey or Hampshire

Up to £70k + 12% Bonus – Azure Expertise Required


Are you a highly skilled Data Engineer with expertise in Azure, looking to take the next step in your career? Join a large and innovative company, leading the way in leveraging cloud technologies for data-driven decision-making.


About the Role:

As aSenior Data Engineer, you will work within a forward-thinking organization that has a robust data infrastructure, including a Data Lake, to support its operations. You will take ownership of critical elements of the data ecosystem, enhancing CI/CD pipelines, and ensuring seamless data operations.

In this role, you will:

  • Leverageat least 2 years of Azure experienceto design, deploy, and optimize cloud-based data solutions.
  • Work extensively withSQL for queryingandPython for codingto support data analysis and transformation.
  • Enhance and maintainCI/CD pipelinesto support rapid and reliable deployment processes.
  • Contribute to the optimization of a large-scaleData Lake infrastructure.
  • Collaborate with data scientists, analysts, and key stakeholders to deliver impactful data-driven insights.


What You’ll Bring:

To excel in this role, you’ll need:

  • A proven track record in Data Engineering, with at least2 years of hands-on experience working with Azure technologies.
  • Advanced SQL querying and Python coding skills.
  • Experience working with modern data infrastructure, such as Data Lakes and CI/CD pipelines.
  • Strong communication skills, with the ability to collaborate across teams and present technical concepts clearly.


What’s on Offer:

  • A competitive salary of up to£70,000 per annum.
  • A12% discretionary bonusbased on performance.
  • Comprehensive benefits package, including private medical insurance, pension contributions, and flexible benefits.


How to Apply:

If you are interested in this position please send your latest CV to latest by the end of the 17th January 2025 @12:00 to be considered.

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.