At a Glance
- Tasks: Run critical risk report projects and implement new functionalities in a dynamic team.
- Company: Join a global fintech leader with a presence in 18 countries.
- Benefits: Flexible hours, performance bonuses, health plans, and career training opportunities.
- Other info: Enjoy a hybrid work model and a culture that values creativity and inclusivity.
- Why this job: Make an impact in a diverse team while working with cutting-edge technologies.
- Qualifications: 7+ years in Python, data processing, SQL, and GCP; eagerness to learn is key.
The predicted salary is between 70000 - 90000 € per year.
About the client: 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 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, performance-related bonuses, 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the fintech company on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data processing techniques. Be ready to discuss how you've tackled similar projects in the past, especially those involving risk reports or data governance.
✨Tip Number 3
Show your enthusiasm for learning! Since they value a willingness to expand skills, share examples of how you've picked up new technologies or improved your processes in previous roles.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your strong Python experience and any relevant projects you've worked on, especially those involving data processing with pandas or GCP.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Senior Data Engineer role. Share specific examples of your past work that align with the responsibilities listed, like writing tests or building deployment pipelines.
Show Your Passion for Learning:Since we're looking for someone willing to expand their skills, mention any recent courses or projects where you've learned new technologies. This could be anything from Apache Kafka to Terraform – we love seeing that eagerness to grow!
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 don’t miss out on any important updates about the hiring process.
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 knowledge 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 the 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.
