Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines for complex datasets in AI-driven environments.
- Company: Join a leading global tech organisation focused on innovation and data.
- Benefits: Competitive hourly rate, potential for extension, and hands-on experience with cutting-edge technology.
- Why this job: Make an impact in a dynamic role while collaborating with top AI/ML teams.
- Qualifications: Senior Data Engineering experience with strong Python and SQL skills required.
- Other info: Onsite work in Edinburgh or London 3 days a week; great opportunity for career growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Edinburgh, UK and/or London, UK
Onsite: 3 days per week (mandatory)
Start: ASAP
Duration: 12–24 months (high likelihood of extension)
About the Role
We’re hiring a Senior Data Engineer for a long-term engagement with a large, global technology organization operating at scale in AI-driven and data-intensive environments. You’ll work on building high-performance data pipelines, supporting advanced analytics and ML-driven initiatives, and ensuring robust, scalable data infrastructure across multiple domains.
What You’ll Do
- Design, build and maintain scalable data pipelines for large, complex datasets
- Process and integrate structured and unstructured data from multiple sources
- Ensure data quality, reliability, and performance end-to-end
- Collaborate closely with AI / ML teams to deliver production-ready datasets
- Support data governance, lineage, and documentation in a pragmatic, impact-focused way
What You Bring
- Senior level Data Engineering experience
- Excellent Python and SQL skills
- Experience in big data environments (e.g., Spark, distributed systems, cloud data platforms)
- Solid understanding of data modeling, ETL/ELT, and pipeline architecture
- Willingness to work onsite in Edinburgh or London 3 days/week
Nice to Have
- Exposure to ML / AI data workflows
- Experience with orchestration tools (e.g., Airflow or similar)
- Cloud platform experience (AWS, Azure, or GCP)
Please include:
- Availability start date
- Hourly rate
- A brief 2–3 line summary on why your background is a strong match for this project
Senior Data Engineer in Slough employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might be working at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python, SQL, and big data tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges in data pipelines or analytics – confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us.
We think you need these skills to ace Senior Data Engineer in Slough
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your experience aligns with the Senior Data Engineer role. Use keywords from the job description to show we’re on the same page!
Showcase Your Skills: Don’t hold back on showcasing your Python, SQL, and big data experience. We want to see how you’ve tackled similar challenges in the past, so give us some solid examples!
Be Clear and Concise: Keep your application clear and to the point. We appreciate brevity, so make sure your summary is impactful and highlights why you’re a great fit for this project.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at WorkGenius Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss your experience with big data environments like Spark or cloud platforms. Being able to talk confidently about your past projects will show that you’re the right fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think of examples where you designed scalable data pipelines or ensured data quality. This will demonstrate your ability to handle complex datasets and collaborate effectively with AI/ML teams.
✨Understand the Company’s Tech Stack
Research the technology stack used by the organisation you're interviewing with. Familiarise yourself with their preferred tools and platforms, especially if they mention orchestration tools like Airflow or specific cloud services. This knowledge can give you an edge and show your genuine interest in the role.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of data modelling, ETL/ELT processes, and pipeline architecture. Practise explaining these concepts clearly and concisely, as this will help you communicate your expertise effectively during the interview.
