At a Glance
- Tasks: Design and build scalable data pipelines on the Databricks Lakehouse platform.
- Company: Join JPMorgan Chase's innovative Corporate Investment Bank team.
- Benefits: Competitive salary, health benefits, and opportunities for remote work.
- Other info: Dynamic environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact by working with cutting-edge data technologies.
- Qualifications: Experience in building data pipelines and strong coding skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
As 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 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 (Py Spark/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 (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 automation
- Required qualifications, skills and capabilities
- Experience with building data pipelines on Databricks and/or Apache Spark in production.
- Strong coding skills in Python (Py Spark) 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
- Preferred qualifications
- Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis).
- Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI.
- Exposure to Unity Catalog (or similar) for governance and fine-grained permissions.
- #J-18808-Ljbffr
Software Engineer II - Databricks in Bournemouth employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer II - Databricks in Bournemouth
✨Join Local Tech Meetups
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We think you need these skills to ace Software Engineer II - Databricks in Bournemouth
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jpmorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jpmorgan Chase & Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jpmorgan Chase & Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
