At a Glance
- Tasks: Design and develop scalable data solutions using Python, Databricks, and AWS.
- Company: Join JPMorgan Chase's innovative External Regulatory Financial Control team.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Dynamic team culture focused on diversity, inclusion, and mentorship.
- Why this job: Make a real impact by transforming data into actionable insights with cutting-edge technology.
- Qualifications: Experience in data management, ETL/ELT, and proficiency in SQL, Python, and PySpark.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Join our innovative External Regulatory Financial Control (ERFC)/Strategic Data team at JPMorgan Chase where we leverage cutting-edge technology to drive data-driven decision-making and enhance business performance. We are seeking a talented and motivated Software/Data Engineer to join our team and contribute to our mission of transforming data into actionable insights.
As a Lead Software Engineer at JPMorgan Chase within the External Regulatory Financial Control (ERFC)/Strategic Data team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.
Job responsibilities
- Execute creative, data-driven software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to solve technical problems.
- Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting.
- Develop fact and dimension data models for reporting and analytics.
- Write secure, high-quality production code, and review and debug code written by others.
- Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation, implementing monitoring and alerting mechanisms to maintain pipeline reliability.
- Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses.
- Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies. Foster a team culture of diversity, opportunity, inclusion, and respect.
- Mentor and guide Associate-level engineers, supporting their technical development and ensuring consistent delivery standards across the team.
- Collaborate with business stakeholders to develop data management strategies, transforming data into insights that drive strategic decisions.
- Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing.
- Lead and participate in the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
- Identify and automate remediation of recurring issues to improve operational stability, acting as both Production Support and SRE function for data pipelines and platform services.
- Utilise AI tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).
Required qualifications, capabilities, and skills
- Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing.
- Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.
- Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar).
- Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.).
- Strong understanding of data quality, security, and lineage best practices.
- Experience with cloud-based data warehouse migration and modernization.
- Proficient in CI/CD, continuous delivery methods (Jules/Jenkins, Spinnaker, Sonar), the full Software Development Life Cycle, and Agile methodologies.
- In-depth knowledge of the financial services industry and their IT systems.
- Excellent problem-solving, troubleshooting, and analytical skills with ability to investigate data issues, identify root causes, and implement solutions.
- Strong communication and documentation abilities, with the ability to collaborate effectively with business and technical stakeholders.
Preferred qualifications, capabilities, and skills
- Knowledge of regulatory reporting and financial data aggregation techniques.
- Experience with data orchestration tools (Airflow, Step Functions, etc.).
- Databricks or AWS certifications.
- Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).
- Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.
Lead Software Engineer - Python, Databricks, AWS in Glasgow employer: Jpmorgan Chase & Co.
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our External Regulatory Financial Control (ERFC)/Strategic Data team. Our inclusive work culture encourages professional growth through mentorship and the opportunity to work with cutting-edge technologies like Databricks and AWS, all while contributing to impactful data-driven solutions in the heart of a leading financial institution. Join us to not only advance your career but also to be part of a mission that transforms data into actionable insights, making a real difference in the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Python, Databricks, AWS in Glasgow
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jpmorgan Chase & Co. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Lead Software Engineer - Python, Databricks, AWS in Glasgow
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.
