Databricks Data Engineer – Pipelines & Analytics

J.P. MORGAN; Bournemouth; On-site; GBP 70,000 - 110,000; Full time

Job summary

J.P. Morgan in Bournemouth seeks a Software Engineer II to design, build, and operate scalable data pipelines on the Databricks Lakehouse platform. You will work with data analysts, data scientists, and application teams to deliver trusted datasets and well-governed data products.

You will develop Spark jobs, SQL transformations, and automated tests, with CI/CD for notebooks and code, while tuning clusters and ensuring secure, compliant data handling across environments.

Qualifications

• Experience with building data pipelines on Databricks and/or Apache Spark in production.
• Strong coding skills in Python (PySpark) and SQL (Scala a plus).
• Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM).
• Experience with orchestration and scheduling (Databricks Workflows, Airflow, Azure Data Factory, etc.).
• Familiarity with cloud data platforms ( AWS/Azure/GCP ) and storage (S3/ADLS/GCS).
• Solid understanding of data engineering fundamentals: data modeling, ETL/ELT patterns, reliability, observability, and performance tuning.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake, and orchestrators (e.g., Workflows, Airflow, ADF).
• Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency.
• Build and maintain curated data models (bronze/silver/gold), data quality checks, and automated testing.
• Implement CI/CD for notebooks and code (Git-based workflows), and automate deployments across environments.
• Manage and tune Databricks clusters, jobs, and configurations; monitor production workloads and resolve incidents.
• Integrate multiple data sources (cloud storage, relational DBs, APIs, event streams) and implement robust ingestion patterns.
• Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing).
• Create clear documentation for pipelines, data contracts, and operational runbooks.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review and automated testing.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Databricks

Spark

Python

SQL

Delta Lake

Airflow

CI/CD

Git

Security

Data Governance

Tools

Databricks

Spark

Airflow

Azure Data Factory

GCP

AWS

Delta Lake

Unity Catalog

Kubernetes

Job description

J.P. Morgan in Bournemouth seeks a Software Engineer II to design, build, and operate scalable data pipelines on the Databricks Lakehouse platform. You will work with data analysts, data scientists, and application teams to deliver trusted datasets and well-governed data products.

You will develop Spark jobs, SQL transformations, and automated tests, with CI/CD for notebooks and code, while tuning clusters and ensuring secure, compliant data handling across environments.