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- Tasks: Build data pipelines and develop AI-powered systems in a dynamic environment.
- Company: Join a leading VC Data Intelligence Platform driving innovation in FinTech.
- Benefits: Competitive salary, discretionary bonus, and opportunities for professional growth.
- Other info: Visa sponsorship available for exceptional candidates; must be UK-based.
- Why this job: Make an impact in the FinTech space while working with cutting-edge technologies.
- Qualifications: 5+ years in Data Engineering, strong Python skills, and experience with AWS and Airflow.
The predicted salary is between 100000 - 140000 ÂŁ per year.
Oliver Bernard have partnered with an industry-leading VC Data Intelligence Platform, which is experiencing a period of sustained growth, and is looking to bring on a highly skilled Senior Data Engineer to their team. This role will sit across Data, Backend & AI, with Data Engineering as the core focus.
Responsibilities include:
- Building data pipelines
- Owning the endâtoâend development of AIâpowered systems
- Contributing to architectural decisions
- Working closely with stakeholders across the business
Required skills and experience:
- 5+ years of commercial experience in a Data Engineering role or similar
- Strong Python experience
- Knowledge of a backend framework â you will be using FastAPI
- Pandas & PostgreSQL
- ClickHouse or BigQuery
- AWS
- Airflow
- Experience with LLMs & AI tools (nice to have)
Salary: Pays ÂŁ100k-ÂŁ140k + discretionary bonus (depending on skills and experience).
Office: Onâsite role, with 5 days required in Central London.
Visa sponsorship: Available for exceptional candidates, however you must be UK/London based to be considered.
Senior Data Engineer - FinTech - in London employer: Energy Jobline ZR
Contact Detail:
Energy Jobline ZR Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Engineer - FinTech - in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even a referral.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with FastAPI, Airflow, and any AI tools you've used. Practice common data engineering scenarios to demonstrate your problem-solving abilities.
â¨Tip Number 4
Donât forget to apply through our website! Weâve got loads of opportunities that might just be the perfect fit for you. Plus, itâs a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer - FinTech - in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and data engineering. We want to see how your skills align with the role, so donât be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about data engineering and how you can contribute to our team. Keep it concise but impactful â we love a good story!
Showcase Your Technical Skills: Donât forget to mention your experience with tools like Airflow, FastAPI, and ClickHouse. Weâre looking for someone who can hit the ground running, so let us know how youâve used these technologies in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy â just a few clicks and youâre done!
How to prepare for a job interview at Energy Jobline ZR
â¨Know Your Tech Stack
Make sure youâre well-versed in the technologies mentioned in the job description, especially Python, AWS, and FastAPI. Brush up on your knowledge of data pipelines and how to leverage tools like Airflow and ClickHouse. Being able to discuss these technologies confidently will show that you're a strong fit for the role.
â¨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in Data Engineering. Think about projects where you built data pipelines or contributed to architectural decisions. This will help demonstrate your hands-on skills and how they align with the company's needs.
â¨Understand the Business Context
Research the company and its position within the FinTech space. Understanding their products and how data plays a role in their success will allow you to tailor your answers and show that youâre genuinely interested in contributing to their goals.
â¨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about their current data challenges, the team structure, or how they envision the role evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.