At a Glance
- Tasks: Design and develop high-performance data pipelines using Databricks and AWS.
- Company: Join MUFG Investor Services, a leader in asset servicing with global reach.
- Benefits: Competitive pay, professional growth, and the chance to shape our data platform.
- Other info: Ideal for those looking to grow in a fast-paced, regulated environment.
- Why this job: Make a real impact in a dynamic team driving innovative data solutions.
- Qualifications: Proficiency in Databricks, AWS, and strong problem-solving skills required.
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.
- 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.
Senior Data Engineer (Databricks) employer: Mufg Investorservices
MUFG Investor Services is an exceptional employer, offering a collaborative and innovative work culture that empowers employees to drive impactful solutions in the financial services sector. With competitive compensation and significant opportunities for professional growth, particularly in data engineering, employees can thrive in a dynamic environment supported by the stability of one of the world's largest financial institutions. Located in a global hub, our team enjoys access to cutting-edge technology and resources, fostering both personal and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Databricks)
✨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. This will help you stand out during interviews and showcase your problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering challenges and be ready to discuss how you've tackled similar issues in the past. This will demonstrate your expertise and readiness for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at MUFG Investor Services.
We think you need these skills to ace Senior Data Engineer (Databricks)
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 cool 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. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Mufg Investorservices
✨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 thought process and the steps you took to troubleshoot and resolve issues, as this will demonstrate your analytical abilities and fit for the role.
✨Understand Data Governance and Compliance
Since the role involves working in a highly regulated environment, be prepared to discuss your understanding of data governance and security best practices. Share any relevant experiences where you ensured compliance in your previous roles.
✨Familiarise Yourself with CI/CD Workflows
Get comfortable with CI/CD principles and be ready to explain how you've implemented these in your past work. Discuss any tools you've used for deployment and how they contributed to the reliability of your data pipelines.
