At a Glance
- Tasks: Design and optimise data pipelines using Databricks and AWS in a dynamic team.
- Company: Join MUFG Investor Services, a leader in asset servicing with a global presence.
- Benefits: Competitive pay, professional growth, and a vibrant hybrid work culture.
- Other info: Be part of a connected team focused on innovation and learning.
- Why this job: Make a real impact on innovative data solutions in a fast-paced environment.
- Qualifications: Proficiency in Databricks and AWS, with strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more.
Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution.
We are seeking a highly skilled Data Engineer with strong problem-solving expertise to join our dynamic data engineering team. Your primary focus will be to design, develop, and optimize data pipelines and workflows leveraging Databricks and AWS.
Responsibilities:- Supporting L2 and L3 functions within Data engineering to troubleshoot and rectify production pipelines.
- Develop and maintain high-performance data pipelines using Databricks.
- Collaborate with architects and analysts to build data models and transformations.
- Ensure data quality, security, and compliance within Databricks environments.
- Implement monitoring and logging strategies to ensure data pipeline reliability and performance.
- Deploy and manage code via CI/CD workflows.
- Troubleshoot and resolve complex data processing challenges efficiently.
- Proficiency in Databricks, including PySpark, Spark SQL, and Delta Lake.
- Strong experience with data modelling, optimization, and performance tuning within Databricks.
- Hands-on experience with AWS infrastructure, specifically for Databricks deployments with AWS DMS and S3-based ingestion patterns.
- Solid understanding of data governance, security best practices, and compliance.
- Familiarity with CI/CD principles and practices.
- Excellent problem-solving skills and ability to collaborate effectively in agile teams.
- Hands-on experience supporting and troubleshooting data pipelines is a big plus.
- Databricks certification (Data Engineer Professional).
- Prior experience working within financial services or highly regulated environments.
Be part of a skilled team driving innovative solutions using Databricks and AWS. Opportunities to directly impact and shape the strategic direction of our data platform. Competitive compensation with significant professional growth opportunities.
We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted. We are an equal opportunity employer.
Senior Data Engineer (Databricks) in London employer: MUFG Investor Services
MUFG Investor Services is an exceptional employer, offering a vibrant culture that fosters innovation and collaboration within a skilled team. With a strong focus on professional growth and hybrid working arrangements, employees have the opportunity to directly influence the strategic direction of our data platform while enjoying competitive compensation and comprehensive learning and development resources.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Databricks) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at MUFG Investor Services on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Databricks and AWS. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and problem-solving. Mock interviews with friends can help you nail your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer (Databricks) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Databricks, AWS, and any relevant projects that showcase your problem-solving skills. We want to see how you can bring value to our team!
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 skills align with our needs. Don’t forget to mention your experience in financial services if applicable – it’s a big plus for us!
Showcase Your Projects:If you've worked on any interesting data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving data pipelines and optimisations using Databricks.
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 shows you’re keen on joining our team at MUFG Investor Services!
How to prepare for a job interview at MUFG Investor Services
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks skills, especially PySpark and Spark SQL. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data processing challenges you've tackled. Highlight your troubleshooting methods and the impact of your solutions on data pipeline performance. This will demonstrate your ability to think critically and act decisively.
✨Understand Data Governance and Compliance
Since this role involves working in a highly regulated environment, be prepared to discuss your understanding of data governance and security best practices. Share any experiences where you ensured compliance in your previous roles.
✨Familiarise Yourself with CI/CD Workflows
As the job requires deploying and managing code via CI/CD workflows, make sure you can explain your experience with these principles. Discuss any tools you've used and how they improved your development process.
