At a Glance
- Tasks: Develop data integrations and automate pipelines using PySpark in a cutting-edge Data Lake.
- Company: Join Addepar, a leading FinTech company revolutionising investment management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on problem-solving in FinTech.
- Why this job: Make a real impact on client operations with innovative data solutions.
- Qualifications: Experience in data engineering and familiarity with AI tools is essential.
The predicted salary is between 50000 - 70000 € per year.
Addepar is seeking a Data Engineer in Edinburgh to join its Portfolio Data Integration team. The role involves developing data integrations and automating data pipelines using PySpark in Addepar's Databricks Data Lake.
Candidates should have data engineering experience and familiarity with AI tools in development workflows. A passion for FinTech and problem-solving within investment management is a plus.
The position offers an opportunity to significantly impact Addepar's client base through enhanced data operations.
AI‑Driven Data Engineer for FinTech Pipelines employer: Addepar
Addepar is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, we offer extensive training opportunities and the chance to work with cutting-edge AI tools in the FinTech sector, allowing you to make a meaningful impact on our clients' data operations. Join us to be part of a dynamic team that values problem-solving and creativity in investment management.
StudySmarter Expert Advice🤫
We think this is how you could land AI‑Driven Data Engineer for FinTech Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with data engineering. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PySpark and AI tools. This is your chance to demonstrate your problem-solving abilities and passion for data integration in a way that words on a CV can't.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data pipeline knowledge and be ready to discuss how you've tackled challenges in past projects. We want to see your thought process and how you approach problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining Addepar and making an impact in the FinTech world.
We think you need these skills to ace AI‑Driven Data Engineer for FinTech Pipelines
Some tips for your application 🫡
Show Your Passion for FinTech:When you're writing your application, let us know why you're excited about the FinTech space. Share any relevant experiences or projects that highlight your interest in investment management and how you can contribute to our team.
Highlight Your Data Engineering Skills:Make sure to showcase your data engineering experience clearly. Talk about your familiarity with PySpark and any previous work with data pipelines or integrations. We want to see how your skills align with what we're looking for!
Be Specific About Your AI Tools Experience:If you've worked with AI tools in your development workflows, don't hold back! Detail your experience and how it can enhance our data operations. This will help us understand how you can make a significant impact at Addepar.
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. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Addepar
✨Know Your Tech Stack
Make sure you’re well-versed in PySpark and Databricks. Brush up on your data engineering skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show your expertise and passion for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in data integration or pipeline automation. Think of a couple of scenarios where you successfully solved a problem, especially in a FinTech context. This will demonstrate your analytical thinking and ability to thrive in investment management.
✨Familiarise Yourself with AI Tools
Since familiarity with AI tools is a plus, do some research on the latest AI technologies relevant to data engineering. Be ready to talk about how you’ve integrated AI into your workflows or how you see it enhancing data operations in the future.
✨Understand Addepar's Impact
Take some time to learn about Addepar and its client base. Understanding their mission and how your role as a Data Engineer can enhance their data operations will help you align your answers with their goals during the interview.
