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

Apply Now

Data Engineer

Brookson Group - (A People2.0 Company)
Warrington
1 day ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Brookson Group – Data Engineer

Join Brookson Group (A People2.0 Company) as a Data Engineer in the Data and Analytics team. You will design, maintain and optimise the data architecture that supports a data‑driven organisation, ensuring seamless flow from source systems to the Data Warehouse.


Responsibilities

  • Maintain existing ETL pipelines, ensuring minimal downtime and blockages.
  • Implement new systems and acquisitions into the People2.0 data architecture, mapping fields, evaluating MDM opportunities and building core data sources.
  • Build data marts and analytical base tables for business users, including MI and operational metrics.
  • Develop bespoke native applications and database structures to support analytics and reporting.
  • Enhance data literacy across the organisation, promoting a self‑serve analytical culture.

Essential Experience & Qualifications

  • Strong SQL skills – tables, stored procedures, performance tuning.
  • Experience with Azure ETL tools (Azure Data Factory / Synapse).
  • Knowledge of data movement methodologies and standards (ELT & ETL).
  • Self‑motivated problem solver who can prioritise work under pressure.
  • BSc in Computer Science, Mathematics, Engineering or related STEM field.
  • Team‑player with empathy, humility and dedication to shared development.

Desirable Experience & Qualifications

  • Experience with Databricks or Delta Lake architecture.
  • Experience building data warehousing solutions on the Microsoft stack.
  • Version control experience (Bitbucket, GitHub, etc.).
  • Low‑code analytical tools (Alteryx) and Power Platform stack (Power BI, Power Automate).

Compensation & Benefits

  • Salary: £34,000 – £38,000 (dependent on experience).
  • 23 days annual leave plus bank holidays.
  • Birthday off.
  • Two wellbeing days per annum.
  • 5% company pension contribution after 3 months.
  • Access to free financial advice (mortgages, savings).
  • Perkbox employee discounts.

Location & Working Arrangements

Warrington office (WA1) – accessible by car and a 10‑minute walk from the nearest train station. Hybrid working: minimum 2 days in office with the remainder remote.


Next Steps

If you meet the essential criteria and are excited about the role, please submit your CV highlighting relevant experience and how it matches the above requirements. All candidates will be contacted within 3 working days.


#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

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.

Jobs

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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML 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.