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For Companies At a Glance
- Tasks: Design and build data pipelines that power analytics and market intelligence.
- Company: Join ISS STOXX, a leader in financial market research and technology solutions.
- Benefits: Enjoy a supportive culture, professional growth opportunities, and a diverse work environment.
- Why this job: Make a real impact in the financial sector with cutting-edge data technologies.
- Qualifications: 5+ years in data engineering, expert in SQL, and proficient in an OOP language.
- Other info: Mentor junior engineers and collaborate in a dynamic, innovative team.
The predicted salary is between 36000 - 60000 £ per year.
Role Overview
ISS STOXX is actively looking for a highly skilled and motivated Senior Data Engineer to join our development team. You will play a pivotal role in designing, building, and modernising the data pipelines that power our analytics and market intelligence capabilities.
Key Responsibilities
- Design, develop, maintain robust ETL/ELT pipelines
- Collaborate with software engineers, database developers, data operations, and product managers to gather requirements and investigate/fix issues
- Optimize performance of data systems and troubleshoot bottlenecks
- Mentor junior data engineers and contribute to team knowledge sharing
- Implement data governance, quality, and security best practices
- Evaluate and recommend new technologies and tools to improve ETL pipelines
Required Skills & Experience
- 5+ years of experience in data engineering or a related field
- Expert-level proficiency in SQL, with deep knowledge of either Oracle or SQL Server
- Good proficiency in an OOP language (Python, Java, C#)
- Experience developing reliable and efficient data pipeline solutions
- Experience with on-prem or cloud data integration systems (e.g., Apache NiFi, Apache Airflow, AWS Glue)
- Familiarity with CI/CD pipelines and DevOps practices
- Excellent problem‑solving and communication skills
- Bachelor’s degree in Computer Science or Engineering or equivalent experience
Nice to Have
- Experience with machine learning
- Contributions to open‑source projects or technical blogs
- Knowledge of data privacy regulations (e.g., GDPR)
- Experience with QlikSense
What You Can Expect From Us
At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire.
About ISS STOXX
ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer benchmark and custom indices worldwide. We serve institutional investors and companies focused on ESG, cyber, and governance risk. ISS Market Intelligence (ISS MI) is a leading provider of data, insights, and market engagement solutions to the global financial services industry.
Senior Data Engineer - Market Intelligence employer: ISS Market Intelligence
Contact Detail:
ISS Market Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Market Intelligence
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL pipelines or cloud integrations. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ISS STOXX.
We think you need these skills to ace Senior Data Engineer - Market Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL/ELT pipelines and any relevant technologies like SQL, Python, or cloud systems. 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. Don't forget to mention any mentoring experience or collaboration with other teams, as we value teamwork.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in your previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to optimising data systems.
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, you can check out more about our culture and values while you're there!
How to prepare for a job interview at ISS Market Intelligence
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of ETL/ELT processes. Be ready to discuss your experience in designing and maintaining data pipelines, as well as any specific tools you've used like Apache NiFi or AWS Glue. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Show Off Your SQL Skills
Since expert-level proficiency in SQL is a must, prepare to demonstrate your skills during the interview. You might be asked to solve a problem on the spot, so practice writing complex queries and optimising them for performance. Highlight any experience you have with Oracle or SQL Server as well.
✨Collaboration is Key
This role involves working closely with various teams, so be prepared to talk about your collaborative experiences. Share examples of how you’ve gathered requirements from product managers or worked with software engineers to troubleshoot issues. This will showcase your communication skills and ability to work in a team.
✨Stay Updated on Tech Trends
Familiarise yourself with the latest technologies and tools in data engineering. Be ready to discuss any new tools you recommend for improving ETL pipelines or any contributions you've made to open-source projects. This shows that you’re proactive and committed to continuous learning in your field.
