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- Tasks: Design scalable cloud data platforms and build high-quality data pipelines.
- Company: Join a growing IT consultancy working with top financial services.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
- Other info: Work in a dynamic team with a focus on data quality and governance.
- Why this job: Make an impact by powering analytics and AI for leading clients.
- Qualifications: Strong SQL and Python skills, plus a relevant IT/Tech degree.
The predicted salary is between 60000 - 80000 £ per year.
Lynx Recruitment are partnered with a growing IT consultancy that works with leading financial services organisations, and they’re looking for a Data Engineer to join their expanding data team. This is a great opportunity to work on modern data platforms, building scalable pipelines and delivering high‑quality datasets that power analytics, AI, and business decision-making across FS clients.
- Design scalable cloud data platforms (warehouses/lakes)
- Ensure data quality, governance & compliance
- Strong SQL & Python
- Cloud exposure (AWS/Azure/GCP)
- Solid data modelling & governance knowledge
- IT/Tech degree (minimum 2:1)
- Hybrid working (London or Manchester)
Senior Engineer, Data Engineering employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those 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 data engineering projects, especially those involving SQL and Python. 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 cloud platforms like AWS, Azure, or GCP. Be ready to discuss how you've designed scalable data solutions in the past, as this will be key for roles in modern data teams.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Engineer, Data Engineering. Highlight your experience with SQL, Python, and any cloud platforms like AWS, Azure, or GCP. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to design scalable data platforms and ensure data quality. This helps us understand your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. We love seeing enthusiasm and a clear understanding of the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lynx Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building scalable data pipelines or cloud platforms.
✨Showcase Your Data Governance Knowledge
Prepare examples that demonstrate your understanding of data quality, governance, and compliance. Companies want to see that you can ensure high-quality datasets, so be ready to talk about how you've tackled these challenges in past roles.
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud exposure, make sure you know the ins and outs of AWS, Azure, or GCP. Be prepared to discuss how you've designed or worked with cloud data platforms in previous positions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team structure, and the technologies they use. This shows your genuine interest and helps you assess if it's the right fit for you.