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 innovation and problem-solving.
- Why this job: Make a real impact on clients by enhancing data operations in the FinTech space.
- 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 in Edinburgh 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 in Edinburgh
✨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 job descriptions just can't.
✨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.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Think about how you would tackle issues in investment management and be ready to share your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI‐Driven Data Engineer for FinTech Pipelines in Edinburgh
Some tips for your application 🫡
Show Your Passion for FinTech:When you're writing your application, let your enthusiasm for FinTech shine through! We want to see how your interests align with our mission and how you can contribute to solving problems in investment management.
Highlight Relevant Experience:Make sure to showcase your data engineering experience clearly. We’re looking for candidates who have worked with PySpark and automated data pipelines, so don’t hold back on those details!
Be Specific About AI Tools:If you've used any AI tools in your development workflows, mention them! We love seeing how you’ve integrated technology into your projects, as it shows your innovative side and readiness for the role.
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 this exciting opportunity with Addepar!
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 confidence.
✨Show Your Passion for FinTech
Addepar is looking for someone who’s not just technically skilled but also passionate about FinTech. Be prepared to talk about why you’re interested in investment management and how you see data engineering playing a role in that space.
✨Problem-Solving Mindset
Expect questions that assess your problem-solving abilities. Think of scenarios where you’ve tackled complex data challenges and be ready to explain your thought process. This will demonstrate your analytical skills and how you approach obstacles.
✨Familiarity with AI Tools
Since the role involves AI tools in development workflows, make sure you can discuss any relevant experience you have. Whether it’s automating processes or enhancing data operations, showing that you’re up-to-date with AI trends will give you an edge.
