Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines for advanced analytics and ML initiatives.
- Company: Join a leading global tech organisation at the forefront of AI and data.
- Benefits: Competitive hourly rate, potential for extension, and dynamic work environment.
- Why this job: Make an impact in a high-performance role with cutting-edge technology.
- Qualifications: Senior Data Engineering experience with strong Python and SQL skills required.
- Other info: Work onsite in Edinburgh or London 3 days a week for collaborative success.
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: ***** months (high likelihood of extension)
About the Role
We are 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 will 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 Will 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 England employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with big data environments. Practising common interview questions can really help you stand out.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data pipelines or ML initiatives, make sure to highlight these during your conversations. Real-world examples can make a huge difference in demonstrating your expertise.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive about their job search. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Senior Data Engineer in England
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 and SQL skills! Include specific examples of projects where you’ve built scalable data pipelines or worked with big data environments to really impress us.
Be Clear and Concise: Keep your application clear and to the point. We love a well-structured application that gets straight to the good stuff without unnecessary fluff. Remember, less is more!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application lands directly in our hands!
How to prepare for a job interview at WorkGenius Group
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your experience with big data environments like Spark and cloud platforms. They’ll want to see that you can design and maintain scalable data pipelines, so have some examples from your past work at the ready.
✨Showcase Your Collaboration Skills
Since this role involves working closely with AI and ML teams, be prepared to talk about how you've collaborated in the past. Share specific instances where your teamwork led to successful outcomes, especially in delivering production-ready datasets or ensuring data quality.
✨Get Familiar with Their Tech Stack
Do a bit of homework on the tools and technologies mentioned in the job description, like orchestration tools (Airflow) and cloud platforms (AWS, Azure, GCP). If you have experience with these, highlight it during the interview. If not, show your willingness to learn and adapt.
✨Prepare for Practical Scenarios
Expect to face practical scenarios or case studies during the interview. Think through how you would approach building a data pipeline or integrating data from various sources. Practising these scenarios can help you articulate your thought process clearly and demonstrate your problem-solving skills.
