Lead Data Engineer

J.P. MORGAN; Bournemouth; On-site; GBP 55,000 - 85,000; Full time

Job summary

J.P. Morgan is seeking a Lead Data Engineer to join their Infrastructure Platforms team in Bournemouth. This role will focus on enhancing data solutions and collaborating with stakeholders to deliver impactful data strategies. Ideal candidates should have expertise in data modeling, pipeline development, and analytics tools to support business objectives.

Qualifications

• Proficient in data analysis tools and techniques.
• Experience with relational and NoSQL databases.
• Knowledge of data warehousing solutions.

Responsibilities

• Develop and maintain data models using firmwide tooling.
• Design and implement data collection and analytics solutions.
• Define and create robust data pipelines for ingestion and transformation.

Skills

Data analysis tools and techniques

Data visualization tools

Linear algebra

Statistics

Geometrical algorithms

Education

Formal training or certification on data analysis tools

Tools

Tableau

Power BI

Amazon Redshift

Snowflake

Databricks

Job description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Infrastructure Platforms organization, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Data Modeling: Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms.
• Data Platform Solutions: Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions.
• Data Pipeline Development: Define and create robust data pipelines for ingestion, processing, and transformation.
• Data Warehouse Design: Model and design future data warehouse architecture for business intelligence and analytics.
• Stakeholder Collaboration: Work with stakeholders and key partners to understand and solve their data needs.
• Innovation and Best Practices: Stay updated on industry trends and implement best practices for data management.

Required qualifications, capabilities, and skills

• Formal training or certification on data analysis tools and techniques concepts and proficient advanced experience
• Proficiency in data analysis tools and techniques
• Experience with data visualization tools like Tableau, Power BI, or similar
• Working experience with bothrelational and NoSQL databases
• Experience and proficiency across the data lifecycle
• Experience with database back-up, recovery, and archiving strategy
• Proficient knowledge of linear algebra, statistics, and geometrical algorithms
• Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks.

Preferred Qualifications

• Understanding of machine learning concepts and tools is a plus.