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- Tasks: Design and maintain scalable data pipelines for real-time insights and reporting.
- Company: Join JP Morgan's innovative data engineering team in a collaborative environment.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic Agile team with excellent career advancement opportunities.
- Why this job: Make an impact on cash management with cutting-edge cloud technologies.
- Qualifications: Experience in data pipeline design using Python, SQL, and big data tools.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Engineer III within our data engineering team, you design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems.
The Cash Account Platform (CAP) is a firm-wide, strategic initiative to enhance the risk management, oversight, control and reporting related to JP Morgan’s intraday liquidity. In support of this, the platform provides real-time dashboards for senior executives which visualize Cash, Credit, and Collateral balances and activity at the Firmwide, Line of Business and Institutional Client level. It is also responsible for the firm’s cash forecast and funding functions, in conjunction with the nostro account reference data system. The Bournemouth development team is one of several global Agile teams contributing to the active development of the suite of applications – with emphasis in the business areas pertaining to Cash Management. From a technical perspective, there is a strong push to progress our architecture further into the Cloud.
Job Responsibilities
- Design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems.
- Ensure data quality, reliability, and timeliness throughout the pipeline.
- Develop solutions for securely and efficiently moving data between internal and external systems.
- Work with both structured and unstructured data sources.
- Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
- Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
- Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
- Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
- Document processes and share knowledge with team members.
Required qualifications, capabilities and skills
- Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.).
- Strong analytical skills with the ability to interpret complex data and deliver business value.
- Experience integrating data from multiple sources and systems.
- Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and documentation skills.
Data Engineer III - DataBricks in Bournemouth employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III - DataBricks in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python, SQL, and all those cool tools you’ve worked with.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you’d tackle real-world challenges.
✨Tip Number 4
Don’t forget to 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 III - DataBricks in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer III role. Highlight your experience with data pipelines, ETL/ELT processes, and any relevant technologies like Python and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or maintained data pipelines. Describe the challenges you faced and how you overcame them. This gives us a clear picture of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data engineering and how you can contribute to our team. Mention your familiarity with cloud platforms and your ability to work in Agile environments, as these are key for us.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Tools
Make sure you brush up on your knowledge of data pipeline technologies like Python, SQL, and Spark. Be ready to discuss how you've used these tools in past projects, especially in designing and building ETL/ELT processes.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've interpreted complex datasets to deliver actionable insights. Think about a time when your analysis led to a significant business decision or improvement.
✨Understand the Cloud Landscape
Familiarise yourself with cloud data platforms such as AWS, Azure, or GCP. Be prepared to discuss how you've integrated data from multiple sources and how cloud technologies have played a role in your previous work.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. Good communication is key, so think about how you can present your findings in a business-friendly format during the interview.