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- Tasks: Build and optimise data pipelines for leading financial services clients.
- Company: Growing IT consultancy with a focus on modern data solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with leading clients and a collaborative work environment.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Strong SQL and Python skills, plus experience with ETL/ELT tools.
The predicted salary is between 50000 - 65000 £ 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.
Key responsibilities:
- Build & optimise ETL/ELT pipelines
- Design scalable cloud data platforms (warehouses/lakes)
- Ensure data quality, governance & compliance
- Work closely with technical teams and client stakeholders
What you’ll need:
- Strong SQL & Python
- ETL/ELT experience (ADF, Matillion, Talend, Fivetran etc.)
- Cloud exposure (AWS/Azure/GCP)
- DBT experience
- Solid data modelling & governance knowledge
- IT/Tech degree (minimum 2:1)
💼 Hybrid working (London or Manchester)
If you’re interested or open to hearing more, feel free to apply or message me directly.
Data Engineer in Slough employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and ETL/ELT processes. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your past projects and how you tackled challenges, especially around data quality and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any ETL/ELT tools you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving cloud data platforms or data pipelines, be sure to include them. We love seeing practical examples of your work that demonstrate your capabilities.
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out on this opportunity!
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 your experience with ETL/ELT tools like ADF or Talend, as well as any cloud platforms you've worked with. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or optimised data pipelines. Highlight the challenges you faced and how you overcame them. This not only shows your technical skills but also your problem-solving abilities, which is crucial for a Data Engineer role.
✨Understand Data Governance
Since data quality and compliance are key responsibilities, make sure you can discuss your understanding of data governance. Be ready to explain how you've ensured data quality in past roles and what practices you follow to maintain compliance.
✨Engage with Stakeholders
Demonstrate your ability to work closely with technical teams and client stakeholders. Prepare examples of how you've communicated complex data concepts to non-technical audiences. This will show that you can bridge the gap between tech and business, which is vital in financial services.