Security Services Data Modelling and Engineering - Vice President

CompanyJPMorganChase

LocationBournemouth, England, United Kingdom

Posted At1/27/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (38.0%).

Occupation Type

Chief executives and senior officials

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£88,100 (£45.18 per hour)

Occupation rate applies

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Description

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.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.