Security Services Data Modelling and Engineering - Vice President

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

Be part of a team that creates the strategic data assets driving business insight, operational excellence, and the next generation of AI solutions. Your work will directly enable the business to answer key questions, track progress on objectives, and unlock new opportunities through data.

As a Data Engineer in the Security Services Data Modelling and Engineering team, within AI Transformation, you will play a pivotal role in building the data foundation that powers business insights, OKR tracking, and AI enablement across JPMorganChase’s Security Services businesses. You will design and develop scalable data pipelines and reusable datasets on Databricks, collaborating with Data Architects and Business Analysts to deliver high-quality, compliant, and business-driven solutions.

Job 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.

Required qualifications, capabilities, and skills

• Proven experience developing data pipelines and solutions on Databricks.
• Strong proficiency in Python, including libraries for data transformation (e.g., pandas).
• Solid understanding of ETL concepts, data modelling, and pipeline design.
• Experience with Spark and cloud data platforms.
• Ability to document data flows and transformation logic to a high standard.
• Familiarity with project management tools such as Jira.
• Collaborative mindset and strong communication skills.

Preferred qualifications, capabilities, and skills

• Experience in financial services or large enterprise data environments.
• Knowledge of data governance, privacy, and compliance requirements.
• Exposure to business analysis and requirements gathering.