VP Data Engineering for Security Services & AI Enablement

Testing Site - JPMC; Lower Blandford St Mary; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorgan Chase is seeking a Data Engineer to build scalable data pipelines on Databricks, enabling insights, OKR tracking, and AI enablement across Security Services. You will design datasets and govern data flows with a strong focus on compliance and quality.

The role emphasizes collaboration with Data Architects and Business Analysts, robust documentation, and governance practices while leveraging Python, Spark, and cloud platforms to power business insights.

Qualifications

• Proven experience developing data pipelines on Databricks.
• Strong Python data transformation skills (pandas).
• Solid ETL, data modelling, and pipeline design knowledge.
• Experience with Spark and cloud data platforms.
• Ability to document data flows and ETL logic to a high standard.
• Familiarity with Jira and collaboration.

Responsibilities

• Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark.
• Collaborate with Data Architects and Business Analysts to develop robust data models and clearly document data flows and ETL logic.
• Implement and execute data quality checks and validation modules using Python.
• Maintain transparency and accountability by tracking work and progress in Jira.
• Ensure datasets and pipelines are accurately registered in relevant catalogues and consoles, meeting governance and privacy standards.

Skills

Databricks

Python

ETL design

Data modelling

Spark

Jira

Documentation

Communication

Cloud platforms

Data governance

Tools

Jira

Pandas

Spark

Job description

JPMorgan Chase is seeking a Data Engineer to build scalable data pipelines on Databricks, enabling insights, OKR tracking, and AI enablement across Security Services. You will design datasets and govern data flows with a strong focus on compliance and quality.

The role emphasizes collaboration with Data Architects and Business Analysts, robust documentation, and governance practices while leveraging Python, Spark, and cloud platforms to power business insights.