Data Engineer III DataBricks

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 Morgans intraday support of this the platform provides real-time dashboards for senior executives which visualize Cash Credit and Collateral balances & activity at the Firmwide Line of Business and Institutional Client level. It is also responsible for the firms 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.