Security Services Data Modelling and Engineering Vice President

JPMorganChase; Bournemouth; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading financial institution is seeking a Data Engineer to build scalable data pipelines and datasets on Databricks. The successful candidate will enable business insights and track objectives using sophisticated data solutions. Responsibilities include optimizing workflows, collaborating with teams, and ensuring data governance. Strong proficiency in Python and experience with Spark are essential, along with a collaborative mindset and excellent communication skills. This position offers an opportunity to impact the organization's data-driven initiatives significantly.

Qualifications

• 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 modeling, and pipeline design.

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 document data flows.
• Implement and execute data quality checks and validation modules using Python.

Skills

Developing data pipelines

Python libraries for data transformation

ETL concepts

Spark

Data modeling

Documenting data flows

Jira

Collaborative mindset

Strong communication skills

Tools

Databricks

Python

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 JPMorganChases 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.