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- Tasks: Design and optimise data platforms, build ETL pipelines, and ensure data quality.
- Company: Established financial services firm in Zurich with a focus on data-driven decision-making.
- Benefits: Competitive salary, bonus, hybrid working, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a forward-thinking team and make an impact on strategic data initiatives.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Azure or AWS.
The predicted salary is between 100000 - 130000 £ per year.
Our client, a well-established financial services firm based in Zurich, is seeking a Data Engineer to support the design, development and optimisation of enterprise data platforms. You will play a key role in enabling data-driven decision‑making across the organisation, working on systems that underpin reporting, analytics and operational processes.
In this role, you will:
- Design and build ETL/ELT pipelines, ensuring efficient ingestion, transformation and storage of large datasets from multiple sources.
- Work closely with business stakeholders, analysts and developers to understand data requirements and deliver scalable data solutions aligned with business needs.
- Ensure data quality, consistency and reliability across platforms.
- Contribute to the development of data warehouses and data models, supporting reporting and analytics use cases across the organisation.
Experience working with SQL is essential, alongside programming skills in Python or similar languages for data processing and automation. Exposure to modern cloud platforms such as Azure or AWS will be highly beneficial. You will also collaborate within Agile teams, contributing to continuous improvement of data architecture, tooling and processes.
Experience working with financial data, regulatory reporting or large‑scale enterprise systems will be advantageous. The ideal candidate will bring proven experience in data engineering, strong problem‑solving skills and the ability to work across both technical and business teams. You should be comfortable handling complex datasets, building scalable pipelines and contributing to modern data platform strategies.
This is a fantastic opportunity to join a forward‑thinking financial services business where data is at the core of strategic decision‑making, offering a collaborative environment and the chance to work on impactful data initiatives.
Location: Zurich, Switzerland / Hybrid working
Salary: CHF 100,000 – CHF 130,000 + Bonus + Benefits
Applicants must be based in Switzerland and have the right to work in Switzerland even though hybrid working is available.
Data Engineer in England employer: Noir Consulting
Contact Detail:
Noir Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your ETL pipelines, data models, or any projects you've worked on. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for those technical interviews by brushing up on SQL, Python, and cloud platforms like Azure or AWS. Practice common data engineering problems and be ready to discuss how you’ve tackled challenges in past projects.
✨Apply Through Us!
We’ve got your back! Check out our website for the latest Data Engineer openings. Applying through us not only gives you access to great roles but also helps you stand out in the crowd.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, SQL, and Python. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data and how you’ve used it to drive decision-making in previous roles. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with strong technical abilities, make sure to mention your experience with ETL pipelines, cloud platforms like Azure or AWS, and any data modelling you've done. We love seeing specific examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Noir Consulting
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially SQL and ETL pipelines. Be ready to discuss how you've designed and built these in past roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Cloud Knowledge
Since the role involves working with cloud platforms like Azure or AWS, be prepared to talk about your experience with these technologies. Highlight specific projects where you've used cloud services for data integration or storage, and how it improved efficiency.
✨Demonstrate Problem-Solving Skills
Expect to face some technical questions that test your problem-solving abilities. Think of examples from your previous work where you had to troubleshoot data issues or optimise processes, and explain your thought process clearly.
✨Understand the Business Context
This role is all about enabling data-driven decision-making, so show that you understand the financial services landscape. Research the company and its data needs, and be ready to discuss how your skills can help them achieve their goals.