At a Glance
- Tasks: Lead data governance projects and generate critical risk reports for the company.
- Company: A global fintech leader with a presence in 18 countries, empowering go-getters worldwide.
- Benefits: Flexible hours, work-from-home options, performance bonuses, and career-focused training.
- Other info: Enjoy a hybrid working model and a vibrant, inclusive workplace culture.
- Why this job: Join a diverse team and make a real impact in the fintech industry.
- Qualifications: 7+ years in Python, data processing, SQL, and GCP; eagerness to learn new skills.
The predicted salary is between 70000 - 90000 € per year.
A FTSE 250 global fintech company headquartered in London with a presence in 18 countries and five continents. Their award‑winning products and platforms empower go‑getters worldwide, giving them access to over 19,000 financial markets.
About the role: Staff Engineer – Data Governance. You will run a project generating risk reports critical for the entire company. The tool is currently considered for complete renovation. The main scope will be implementation of new functionalities, adding new reports, writing tests, pipeline analysis and active participation in the team’s scrum life.
Technologies used: Python, pandas, numpy, Kafka, Airflow, REST, GCP, bash. Big‑data knowledge or extensive cloud experience is not required; willingness to expand skills is important.
What you’ll do:
- As part of the Data Engineering Team, you will be responsible for delivering high‑quality work.
- Adding new reports
- Writing tests
- Building deployment pipelines
- Analyzing and designing technical solutions
- Actively participating in the team’s scrum life
What you’ll need for this role:
- 7+ years of experience in the following areas:
- Strong experience in Python
- Data processing with pandas/pyspark
- Good experience with SQL & GCP
- Understanding of development life‑cycle (CI/CD, Gitlab)
- Unit testing
- DBT
- Cloud
It would be great if you have experience with:
- Apache Kafka
- Apache Spark
- Message formats AVRO/Parquet/ORC/JSON
- Terraform
The perks:
- Matched giving for your fundraising activity
- Flexible working hours and work‑from‑home opportunities
- Performance‑related bonuses
- Insurance and medical plans
- Career‑focused technical and leadership training in‑class and online, including unlimited access to LinkedIn Learning platform
- Contribution to gym memberships and more
- A day off on your birthday
- Two days volunteering leave per year
Where you’ll work: They follow a hybrid working model; they reckon it is the best of both worlds. This model promotes diversity, flexibility and close connection. Plus, you’ll be welcomed into a diverse and inclusive workforce with a lot of creative energy. They welcome people from various walks of life; anyone who wants to help them realize their vision and strategy is encouraged to apply.
Senior Data Engineer in London employer: RemoteStar
As a leading FTSE 250 global fintech company based in London, we pride ourselves on fostering a dynamic and inclusive work environment that champions employee growth and innovation. With flexible working hours, generous benefits including matched giving for fundraising, and extensive training opportunities, we empower our team members to thrive both personally and professionally while contributing to impactful projects that shape the financial landscape worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working at companies you admire. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with Python, SQL, and any relevant technologies like GCP or Kafka. We want to see how your skills align with 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 excited about this role and how your background makes you a perfect fit. Don’t forget to mention your willingness to learn and grow with us!
Showcase Your Projects:If you've worked on any projects that involved data processing or building deployment pipelines, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RemoteStar
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, pandas, and GCP. Brush up on your SQL skills too, as they’ll likely ask you to demonstrate your data processing abilities during the interview.
✨Showcase Your Experience
With 7+ years of experience required, be ready to discuss specific projects where you've implemented new functionalities or built deployment pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Emphasise Team Collaboration
Since this role involves active participation in scrum life, be prepared to talk about your experience working in agile teams. Share examples of how you’ve collaborated with others to deliver high-quality work and how you handle feedback.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data governance practices and the tools they use. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding flexibility and diversity.
