Lead Data Engineer: Scalable Pipelines & Data Quality

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 65,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines and architectures within the Compute Infrastructure Platforms team.

You will collaborate with agile teams to deliver secure, reliable data solutions that power enterprise analytics and reporting. The role emphasizes data quality, data lifecycle management, and strong collaboration across functions to meet business objectives while maintaining security and resilience across enterprise

Qualifications

• Formal training or certification in data engineering concepts.
• Hands-on experience developing and maintaining data pipelines using Python.
• Proficiency with Databricks for large-scale data processing and analytics.
• Experience working with both relational and NoSQL databases.
• Proficiency across the full data lifecycle, including ingestion, transformation, storage, and access.
• Experience implementing database backup, recovery, and archiving strategies.
• Strong understanding of data quality principles and root cause analysis for data issues.

Responsibilities

• Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs.
• Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions.
• Drive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely on.
• Implement and manage database backup, recovery, and archiving strategies to ensure data availability and resilience.
• Evaluate and report on access control processes to determine the effectiveness of data asset security with minimal supervision.
• Collaborate with cross-functional teams to define data requirements and deliver solutions aligned with business objectives.
• Identify opportunities to optimize data workflows and improve overall pipeline performance and efficiency.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Skills

Python

Databricks

Data pipelines

Relational databases

NoSQL databases

Data lifecycle

Data quality

Education

Data engineering certification

Tools

Databricks

Job description

JPMorgan Chase & Co. is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines and architectures within the Compute Infrastructure Platforms team.

You will collaborate with agile teams to deliver secure, reliable data solutions that power enterprise analytics and reporting. The role emphasizes data quality, data lifecycle management, and strong collaboration across functions to meet business objectives while maintaining security and resilience across enterprise