Software Engineer II - Databricks in Bournemouth

Software Engineer II - Databricks in Bournemouth

Bournemouth Full-Time 63000 - 77000 £ / year (est.) No working from home possible
JP Morgan Chase

At a Glance

  • Tasks: Design and build scalable data pipelines on the Databricks Lakehouse platform.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Embrace diversity and inclusion in a supportive workplace.
  • Why this job: Make an impact with cutting-edge technology in a dynamic environment.
  • Qualifications: Experience with Databricks, 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. 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 (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.
  • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity.
  • Apply knowledge of tools within the Software Development Life Cycle toolchain 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 (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.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations.

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.P. 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.

Software Engineer II - Databricks in Bournemouth employer: JP Morgan Chase

At JPMorgan Chase, we pride ourselves on being an exceptional employer, particularly within our Corporate Investment Bank's Payments Technology team. Our collaborative work culture fosters innovation and growth, offering employees the chance to develop their skills while working on cutting-edge technologies like Databricks. With a strong commitment to diversity and inclusion, we ensure that every team member feels valued and supported, making it a rewarding place to build a meaningful career.

JP Morgan Chase

Contact Details:

JP Morgan Chase Recruitment Team

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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Contribute to Open Source Projects

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We think you need these skills to ace Software Engineer II - Databricks in Bournemouth

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration

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 JP Morgan Chase.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase 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 JP Morgan Chase

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 JP Morgan Chase 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.