JOB DESCRIPTIONAs a Software Engineer II at JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. You'll partner with data analysts, data scientists, and application teams to deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilitiesDesign and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., 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; 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 (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. 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 automationRequired qualifications, skills and capabilitiesExperience with building data pipelines on Databricks and/or Apache Spark in production. Strong coding skills in Python (PySpark) and SQL (Scala a plus).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 expectationsPreferred qualificationsExperience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis).Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI.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. 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. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Software Development Engineer, AWS in Bournemouth employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
