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- Tasks: Design and build ETL pipelines to optimise enterprise data platforms.
- Company: Established financial services firm in Zurich with a focus on data-driven decision-making.
- Benefits: Competitive salary, bonus, hybrid working, and excellent benefits.
- Other info: Collaborative environment with opportunities for continuous improvement and career 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 - Financial Services (Hybrid, Zurich) in England employer: Noir Consulting
Contact Detail:
Noir Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Financial Services (Hybrid, Zurich) in England
✨Network Like a Pro
Get out there and connect with folks in the financial services sector! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experience with SQL, Python, and cloud platforms like Azure or AWS. Bring examples of your work, especially those ETL pipelines you've built – they love seeing real-world applications!
✨Tailor Your Approach
Every company is different, so make sure you understand their specific needs. Research the firm’s data challenges and think about how your skills can help solve them. This shows you're not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only gives you a better chance of being noticed but also keeps you updated on new opportunities tailored to your skills in data engineering.
We think you need these skills to ace Data Engineer - Financial Services (Hybrid, Zurich) 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 shine! Use it to explain why you’re passionate about data engineering in financial services and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
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.
✨Prepare for Problem-Solving Questions
Expect questions that test your problem-solving skills, especially related to data quality and consistency. Think of examples where you identified issues in data processes and how you implemented solutions to enhance data reliability.
✨Understand the Financial Services Context
Familiarise yourself with the financial services industry and its data requirements. Be ready to discuss how your experience aligns with regulatory reporting and large-scale enterprise systems, as this will show your understanding of the business context.