At a Glance
- Tasks: Design and implement data models and pipelines using AWS and Databricks.
- Company: Leading financial services firm in Greater London with a focus on analytics.
- Benefits: Competitive salary, career advancement, and a dynamic work environment.
- Other info: Opportunity to work in a collaborative and innovative team.
- Why this job: Join a top firm and make an impact on data-driven decision-making.
- Qualifications: 5–8+ years in data engineering, strong SQL, Databricks, and Python or PySpark skills.
The predicted salary is between 43200 - 72000 € per year.
A leading financial services firm in Greater London is seeking an Analytics-focused Data Engineer to design and implement data models and pipelines on an AWS and Databricks platform.
Candidates should have 5–8+ years in data engineering, strong SQL and Databricks experience, and proficiency in Python or PySpark.
This role supports business intelligence and helps ensure data reliability for decision-making within the firm.
Analytics Data Engineer - AWS/Databricks Expert in London employer: State Street
As a leading financial services firm in Greater London, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a commitment to work-life balance, making us an excellent employer for those looking to grow their careers in data engineering within a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Data Engineer - AWS/Databricks Expert in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and pipelines. We want to see your work with AWS, Databricks, SQL, and Python. It’s a great way to stand out from the crowd!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data engineering. We recommend practising common interview questions related to analytics and data reliability.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Analytics Data Engineer - AWS/Databricks Expert in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Databricks, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills:Since this role requires strong technical expertise, be sure to mention specific projects where you've used Python or PySpark. We love seeing real-world applications of your skills!
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!
How to prepare for a job interview at State Street
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Databricks, and Python or PySpark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience designing and implementing data models and pipelines. Think of examples that highlight your ability to ensure data reliability and support business intelligence, as this is crucial for the role.
✨Understand the Business Context
Research the financial services firm and understand their business model. Being able to relate your technical skills to their specific needs will show that you're not just a techie but also someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects you'll be working on, and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
