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- Tasks: Develop and maintain data pipelines using PySpark and AI-driven workflows.
- Company: Join Addepar, a leading FinTech company in Basingstoke.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on innovation and quality.
- Why this job: Make an impact in the FinTech space by automating data processes.
- Qualifications: Experience in PySpark/Python and SQL, with a passion for data engineering.
The predicted salary is between 45000 - 60000 £ per year.
Addepar is seeking a Data Engineer in Basingstoke, UK, to develop data integrations and maintain critical data pipelines. This role will enhance the data platform, increase throughput, and leverage AI-assisted workflows for automation and quality assurance.
The ideal candidate will have:
- A strong foundation in object-oriented programming using PySpark/Python
- Knowledge of SQL
- A passion for FinTech
This is a crucial role for automating data ingestion with minimal manual effort.
Data Engineer — PySpark & AI-Driven Pipelines in Basingstoke employer: Addepar
Contact Detail:
Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — PySpark & AI-Driven Pipelines in Basingstoke
✨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 PySpark projects or any AI-driven pipelines you've worked on. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and object-oriented programming concepts. We recommend doing mock interviews to get comfortable with the types of questions you might face.
✨Tip Number 4
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 are proactive about their job search!
We think you need these skills to ace Data Engineer — PySpark & AI-Driven Pipelines in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark and SQL. We want to see how your skills align with the role, so don’t 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 you’re passionate about FinTech and how your background makes you a perfect fit for our Data Engineer position. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing how you approach problems, especially when it comes to automation and optimising data pipelines.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Addepar
✨Know Your PySpark Inside Out
Make sure you brush up on your PySpark skills before the interview. Be ready to discuss your experience with data integrations and how you've used PySpark in past projects. They’ll likely want to hear about specific challenges you faced and how you overcame them.
✨Showcase Your SQL Savvy
Since SQL is a key part of the role, prepare to demonstrate your knowledge. Think of examples where you've optimised queries or managed databases. You might even be asked to solve a problem on the spot, so practice some common SQL scenarios beforehand.
✨Emphasise Your FinTech Passion
Addepar is looking for someone who’s not just technically skilled but also passionate about FinTech. Be prepared to discuss why you’re interested in this sector and how you see data engineering playing a role in its future. This will show that you’re not just a techie, but someone who understands the industry.
✨Prepare for AI-Driven Discussions
Since the role involves leveraging AI-assisted workflows, think about your experiences with automation and quality assurance. Be ready to talk about any AI tools or frameworks you’ve worked with and how they’ve improved your data processes. This will highlight your forward-thinking approach.