At a Glance
- Tasks: Design and develop scalable data solutions that make a real impact.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of fintech innovation and help shape the future of banking.
- Qualifications: Experience in Python, SQL, and cloud technologies; passion for data engineering.
- Other info: Dynamic team environment with a focus on collaboration and diversity.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Out of the successful launch of Chase UK in 2021, we are a new team, with a new mission. We are creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We value collaboration, curiosity and commitment.
As a handsâon Senior Lead Engineer at JPMorgan Chase within the International Consumer Bank, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solutionâoriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects â and depending on your strengths and interests, you'll have the opportunity to move between them.
While we are looking for professional skills, culture is just as important to us. We understand that everyone's unique â and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there is scope for you to make a huge difference â on us as a company, and on our clients and business partners around the world.
Job responsibilities- Architecture and implementation: Design and develop scalable and secure distributed architectures and solutions, focusing on data ingestion and processing - utilising appropriate cloud native technologies and services.
- Data pipeline development: Design, implement, and maintain data pipelines that efficiently collect, process, and store large volumes of data from various sources, ensuring data timeliness, quality, and completeness.
- Security and compliance: Ensure that data solutions comply with relevant data residency and privacy regulations, and implement best practices for securing data at rest and in transit in compliance with financial regulations and firm wide policies.
- Programming: Comfortable with Python and at least one JVM language (Java/Kotlin/Scala) including sound testing and code review practices.
- SQL expertise: Joins, aggregations, subqueries, window functions.
- Data pipelines: Design, build, and optimise production ETL/ELT pipelines (batch + streaming) using a popular framework (Spark, Flink, Dataflow, etc).
- Streaming: Handsâon with Kafka (topics, keys, partitions, consumer groups) atâleastâonce semantics, and schema registry basics.
- Warehousing/lakehouse: Data modelling, partitioning, clustering. Handsâon with one of BigQuery, Snowflake, Databricks, etc, and cloud storage or HDFS.
- Cloud: Production experience with at least one major cloud provider (GCP/AWS) using native data services and IAM basics. FinOpsâaware with costâeffective design.
- Reliability: Data quality checks, backfills, incorporating SLIs with observability and reporting.
- Kafka Connect (sources/sinks), change data capture (CDC), and schema evolution strategies.
- Orchestrators (Airflow/Dagster/Flyte/Prefect/Argo Workflows) and workflow patterns (dependencies, idempotency, retries, SLAs).
- Lakehouse platforms and table formats (Delta/Iceberg/Hudi/Avro/Parquet) and timeâtravel.
- Security/RBAC, PII handling, and governance basics.
- AWS/GCP Certifications.
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. Our firstâclass business in a firstâclass way approach to serving clients drives everything we do. We strive to build trusted, longâterm 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.
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Lead Software Engineer - Data Engineering in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Software Engineer - Data Engineering in London
â¨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
â¨Tip Number 2
Prepare for the interview by researching the company culture and values. Show them youâre not just about the skills, but you also fit right into their team vibe.
â¨Tip Number 3
Practice your coding skills and be ready for technical challenges. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities before the big day.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Software Engineer - Data Engineering in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your programming expertise, especially in Python and JVM languages, and any relevant data pipeline projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for fintech and how you thrive in collaborative environments. Share specific examples of how you've solved real-world problems through technology, aligning with our people-first approach.
Showcase Your Projects: Include links to any relevant projects or GitHub repositories that demonstrate your experience with data pipelines, cloud technologies, and security compliance. This gives us a clear picture of your hands-on skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at J.P. Morgan
â¨Know Your Tech Inside Out
Make sure youâre well-versed in the technologies mentioned in the job description, especially Python, JVM languages, and data pipeline frameworks like Spark or Flink. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your expertise in joins, aggregations, and window functions.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering challenges. Think about how you designed scalable architectures or optimised data pipelines. This is your chance to show that you're not just technically skilled but also solution-oriented and commercially savvy.
â¨Emphasise Collaboration and Culture Fit
Since the company values collaboration and diversity, be ready to share experiences where you worked effectively in teams. Highlight how youâve contributed to a positive team culture and how your unique background can add value to their diverse environment.
â¨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the role and the company. Inquire about their approach to data security and compliance, or how they foster innovation within their teams. This demonstrates your genuine interest and helps you assess if the company aligns with your values.