Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines for advanced analytics and machine learning.
- Company: Join a leading global tech firm at the forefront of AI and data innovation.
- Benefits: Competitive hourly rate, potential for contract extension, and hands-on experience in cutting-edge projects.
- Why this job: Make an impact in a dynamic environment while working with top-tier data technologies.
- Qualifications: Senior Data Engineering experience with strong Python and SQL skills required.
- Other info: Work onsite in vibrant Edinburgh or London three days a week.
The predicted salary is between 36 - 48 £ per hour.
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 London employer: WorkGenius Group
Contact Detail:
WorkGenius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨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 put in a good word for you.
✨Tip Number 2
Get your hands dirty with some projects! Showcase your skills by working on personal or open-source projects that highlight your Python and SQL expertise. This will not only boost your portfolio but also give you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your big data concepts, ETL processes, and pipeline architecture. Practising coding challenges related to data engineering can really help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Senior Data Engineer in London
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 us you understand what we're looking for.
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. We want to see what you can do!
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 in just a few lines.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at WorkGenius Group
✨Know Your Data Inside Out
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. The more you can showcase your technical expertise, the better!
✨Showcase Your Pipeline Mastery
Prepare to talk about specific projects where you've designed and built scalable data pipelines. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and hands-on experience.
✨Collaborate Like a Pro
Since collaboration with AI/ML teams is key, think of examples where you've worked cross-functionally. Be ready to explain how you ensured data quality and performance while working with different teams. This shows you're a team player who understands the bigger picture.
✨Be Ready for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common data engineering problems and be prepared to explain your thought process. This will help you stand out as a confident and capable candidate.
