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 work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a fast-paced environment.
- 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 - 65000 € 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 how you can tackle real-world problems in investment management.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've automated data pipelines or improved data operations in past roles. We want to see 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 🫡
Tailor Your CV:Make sure your CV highlights your data engineering experience and any familiarity with AI tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for FinTech and problem-solving in investment management. We love seeing candidates who are genuinely excited about the impact they can make at Addepar.
Showcase Your Technical Skills:Since this role involves developing data integrations and automating pipelines using PySpark, make sure to mention any specific experiences you have with these technologies. We’re looking for candidates who can hit the ground running!
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’s super easy – just follow the prompts and submit your materials!
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
Addepar values problem-solving, especially in the FinTech space. Prepare to discuss challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Familiarise Yourself with AI Tools
Since familiarity with AI tools is a plus, make sure you can talk about any relevant experience you have. Whether it’s automating workflows or enhancing data operations, be ready to explain how these tools can improve efficiency in data pipelines.
✨Demonstrate Your Passion for FinTech
Addepar is looking for candidates who are genuinely interested in FinTech and investment management. Research the company and its impact on the industry, and be prepared to share why you’re excited about the opportunity to contribute to their mission.
