At a Glance
- Tasks: Build and maintain production-grade data pipelines using Python and SQL.
- Company: Join a dynamic London-based fintech/data business with a high-impact team.
- Benefits: Flexible salary, hybrid work, and the chance to influence project outcomes.
- Other info: Small, technically strong team with excellent career growth opportunities.
- Why this job: Own end-to-end production pipelines and work with cutting-edge data technologies.
- Qualifications: Strong Python and SQL skills; experience with data pipelines and engineering mindset.
The predicted salary is between 60000 - 80000 € per year.
I’m currently working with a London-based fintech / data business hiring a Data Engineer to join a high-impact team building modern data infrastructure and analytics products around complex, high-volume datasets. This is a strong opportunity for someone who enjoys owning production pipelines properly end-to-end in production, rather than just building transformations in isolation.
What you’ll be doing:
- Building and maintaining production-grade data pipelines in Python
- Onboarding and integrating new data sources
- Designing and optimising transformations using a modern columnar stack
- Owning data quality, monitoring/alerting, reruns/backfills and operational robustness
- Working closely with a small team in an environment where you can genuinely influence how things are built
What they’re looking for:
- Strong Python and SQL
- Hands-on experience with Polars, Parquet and/or Arrow/PyArrow
- Experience owning pipelines in production end-to-end
- A strong engineering mindset around reliability, observability and delivery
- Ability to work independently and help drive things forward
Nice to have:
- Time-series, high-volume or event-driven data experience
- Orchestration exposure such as Airflow, Dagster, Prefect, Temporal or similar
- Finance or market data experience
Details:
- Permanent role
- London / hybrid
- Small, technically strong team
- Salary flexible depending on fit and level
If this sounds like you, or you’d be open to hearing more, feel free to apply or message me directly.
Ingegnere Dei Dati in London employer: Intellect Group
Join a dynamic fintech data business in London, where you'll be part of a small, technically adept team dedicated to building cutting-edge data infrastructure. With a strong emphasis on employee growth and a collaborative work culture, this role offers the chance to influence impactful projects while enjoying flexible working arrangements and competitive salary options.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and data space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Polars, Parquet, and operational robustness. We want you to feel confident discussing how you’ve owned production pipelines end-to-end.
✨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 Ingegnere Dei Dati in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as well as any hands-on work with data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Data Engineer role and how your background makes you a perfect fit. Be genuine and let your personality come through.
Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in previous roles and how you tackled them. We love candidates who can think critically and own their production pipelines end-to-end!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Intellect Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your experience with Polars, Parquet, and Arrow/PyArrow, and be ready to discuss how you've used them in past projects.
✨Showcase Your Pipeline Experience
Be prepared to talk about your experience owning production pipelines from start to finish. Share specific examples of challenges you faced and how you ensured data quality and operational robustness.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you had to troubleshoot or optimise data transformations. Highlight your engineering mindset around reliability and observability, and how you’ve driven improvements in your previous roles.
✨Engage with the Team Dynamics
Since this is a small team, show that you can work independently but also collaborate effectively. Be ready to discuss how you’ve influenced team decisions in the past and how you can contribute to building a strong data infrastructure.
