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For Companies At a Glance
- Tasks: Design and develop scalable data pipelines using Python and AWS tools.
- Company: Join FTSE Russell, a leader in financial data innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data platforms and make an impact in finance.
- Qualifications: Experience in Python and eagerness to learn AWS data stack.
- Other info: Collaborative Agile environment with a focus on continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
We are building the next-generation data platform at FTSE Russell — and we want you to shape it with us. Your role will involve:
- Designing and developing scalable, testable data pipelines using Python and Apache Spark
- Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3
- Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing
- Contributing to the development of a lakehouse architecture using Apache Iceberg
- Collaborating with business teams to translate requirements into data-driven solutions
- Building observability into data flows and implementing basic quality checks
- Participating in code reviews, pair programming, and architecture discussions
- Continuously learning about the financial indices domain and sharing insights with the team
WHAT YOU'LL BRING:
- Writes clean, maintainable Python code (ideally with type hints, linters, and tests like pytest)
- Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines
- Has experience with or is eager to learn Apache Spark for large-scale data processing
- Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR)
- Enjoys learning the business context and working closely with stakeholders
- Works well in Agile teams and values collaboration over solo heroics
Nice-to-haves:
- Experience with Apache Iceberg or similar table formats
- Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions
- Exposure to data quality frameworks like Great Expectations or Deequ
- Curiosity about financial markets, index data, or investment analytics
AWS Data engineer employer: Infoplus Technologies UK Limited
Contact Detail:
Infoplus Technologies UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and AWS knowledge, and be ready to discuss how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Your next big opportunity could be just a click away!
We think you need these skills to ace AWS Data engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AWS Data Engineer role. Highlight your Python coding abilities, experience with AWS tools, and any relevant projects you've worked on. We want to see how you can contribute to our next-gen data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Don’t forget to mention your eagerness to learn and collaborate with teams, as we value teamwork at StudySmarter.
Showcase Your Projects: If you've worked on any data engineering projects, make sure to include them in your application. Whether it's building ETL pipelines or using Apache Spark, we love seeing practical examples of your work. It helps us understand your hands-on experience!
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 you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Infoplus Technologies UK Limited
✨Know Your Tech Stack
Make sure you brush up on your knowledge of AWS tools like Glue, EMR, and Lambda. Be ready to discuss how you've used these technologies in past projects or how you plan to apply them in this role.
✨Showcase Your Python Skills
Prepare to demonstrate your ability to write clean and maintainable Python code. You might be asked to solve a coding challenge, so practice using type hints, linters, and testing frameworks like pytest to show off your skills.
✨Understand Data Engineering Basics
Familiarise yourself with key concepts like ETL pipelines, batch processing, and schema evolution. Being able to explain these concepts clearly will show that you have a solid foundation in data engineering.
✨Emphasise Collaboration
Since the role involves working closely with business teams and Agile collaboration, be prepared to share examples of how you've successfully worked in teams. Highlight your experience with code reviews and pair programming to demonstrate your teamwork skills.