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- Tasks: Design and build scalable data platforms for top financial services clients.
- Company: Join a growing IT consultancy with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
- Other info: Work in a dynamic environment with a focus on data quality and governance.
- Why this job: Make an impact by delivering high-quality datasets that drive analytics and AI.
- Qualifications: Strong SQL and Python skills, plus a relevant IT/Tech degree.
The predicted salary is between 50000 - 70000 £ 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)
Ingegnere dei dati (f/m) employer: Lynx Recruitment
Contact Detail:
Lynx Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud platforms. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Ingegnere dei dati (f/m)
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 cloud platforms like AWS or Azure. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building scalable pipelines or ensuring data quality, we want to know what you've done and how it relates to the role.
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 Lynx Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building scalable data pipelines or working with cloud platforms like AWS, Azure, or GCP.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data quality and governance issues in previous roles. Think about challenges you've faced and how you ensured compliance while delivering high-quality datasets.
✨Understand the Business Context
Since you'll be working with financial services clients, it’s crucial to understand their needs. Familiarise yourself with how data impacts business decision-making in this sector, and be ready to discuss how your work can drive analytics and AI initiatives.
✨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 in the role and helps you assess if it's the right fit for you.