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- Tasks: Design and maintain data pipelines for critical investment functions using Python and Apache Spark.
- Company: Leading financial services firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in the financial sector while honing your technical skills.
- Qualifications: Experience in building ETL/ELT pipelines and knowledge of the financial services industry.
- Other info: Join a dynamic team with a strong emphasis on ownership and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services firm is looking for a Mid-Level Data Engineer to design and maintain data pipelines that directly support critical investment and front-office functions. You will leverage your skills in Python and Apache Spark to process and validate data in a regulated environment. The role emphasizes ownership of production systems and collaboration with technical teams. Ideal candidates should have experience building ETL/ELT pipelines, as well as a background in the financial services sector.
Financial Data Engineer — End-to-End Pipelines, Python in City of London employer: Glocomms
Contact Detail:
Glocomms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Engineer — End-to-End Pipelines, Python in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve built any cool data pipelines or projects, make sure to have them ready to share. A portfolio can really set us apart from the crowd.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and Apache Spark skills, and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action!
✨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 Financial Data Engineer — End-to-End Pipelines, Python in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Apache Spark in your application. We want to see how you've used these tools to build ETL/ELT pipelines, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to financial data engineering, as it shows us you understand the industry and the job.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Glocomms
✨Know Your Tech Stack
Make sure you brush up on your Python and Apache Spark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building ETL/ELT pipelines. This will show that you not only understand the tools but can also apply them effectively in a financial context.
✨Understand the Financial Landscape
Since this role is within a financial services firm, it’s crucial to have a grasp of the industry’s regulations and standards. Familiarise yourself with common financial data challenges and be prepared to discuss how you would address them in your role as a Data Engineer.
✨Showcase Collaboration Skills
This position emphasises collaboration with technical teams, so be ready to share examples of how you've worked with others in the past. Highlight any experiences where you took ownership of production systems and how you communicated effectively with different stakeholders.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company’s data infrastructure and the specific challenges they face. This not only shows your interest in the role but also helps you assess if the company is the right fit for you.
