Data Engineer

G4S
Rotherham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Role Responsibility:

Data Engineer

£35,000 - £40,000 per annum 

40 hours per week, Monday to Friday

Home Based with occasional travel to Wath upon Dearne, Rotherham, South Yorkshire (1 to 2 times per month)

About Us

G4S Employment Support Services (ESS) deliver the RESTART employability programme on behalf of DWP.  

The RESTART contract will support individuals into long term employment across the North West through our network of Suppliers and Stakeholders. 

To apply for our roles you don't necessarily need experience in Employability or Welfare to Work but you do need to be enthusiastic about understanding the industry, passionate about delivering quality and success and have the skill set to meet the requirements of the role.

About the Role

We are seeking an experienced Data Engineer to join our team.

To be successful for this role, you will have strong IT skills, including expertise in Power BI (Power Query and DAX) and Google GCP, including tools like Google BigQuery and Looker.

As a Data Engineer, you will support ETL processes and development, data analysis and data hygiene enhancement, ensuring all activities are value-driven and focused on improving performance.

Key Responsibilities:

  • Interpret and analyse data to provide actionable insights and reports for decision-makers.
  • Collaborate with colleagues to identify and implement process improvements.
  • Train colleagues to use and interpret operational systems and reports effectively.
  • Document all Data Team processes, activities and projects comprehensively.
  • Analyse data to improve ETL processes, reduce technical debt and enhance automation and data hygiene.
  • Support the Data Strategy Manager in developing a robust Data Warehouse and Framework for current and future business needs.
  • Evaluate the effectiveness of key programs and initiatives through data analysis.
  • Ensure reporting systems support contractual requirements and monitor improvement initiatives in collaboration with Operational Leaders.
  • Assist the Data Strategy Manager in client-facing calls requiring technical expertise.
  • Contribute to improving the data strategy, data quality and technical standards.
  • Produce timely reports and analyses as directed by your line manager.
The Ideal Candidate:

Essential Criteria:

  • Proven ability to transform raw data into actionable reports and effectively analyse and present insights.
  • Strong IT skills, including expertise in Power BI (Power Query and DAX) and Google GCP (tools like Google BigQuery and Looker).
  • Skilled in simplifying data communication to support performance goals.
  • Knowledge of data-related laws and ability to identify exceptions or key focus areas through analysis.

Benefits

While working for G4S, you are entitled to a number of benefits and offers from G4S partners and other organisations, from employee assistance provided through WeCare, to RAC cover and so much more, including the below;

  • Progression, training and development catered to you.
  • Charity work
  • Refer A Friend incentives 
  • Company pension scheme with employer contributions.
  • G4S Life Assurance Scheme.
  • Subsidised healthcare plan.
  • Charity work- Match-IT and Payroll Giving.
  • Confidential Counselling Services
  • 24/7 support specialising in health and medical 
  • Discounts on high street shops and brands including several leading high street brands, retailers and travel suppliers.

G4S  is committed to Inclusion and Diversity. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation, or age. We are also committed to offering applicants with a disability an interview if they meet the minimum requirements for the role.

Please contact our recruitment team at to discuss any access needs, reasonable adjustments or additional support that may be required at any point during the recruitment process.

#LI-RG1 

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.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 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.