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: Enjoy competitive salary, diverse work environment, and opportunities for growth.
- Why this job: Be at the forefront of fintech innovation and help shape customer experiences.
- Qualifications: Proficient in Python, SQL, and cloud technologies; experience with data pipelines is a plus.
- Other info: Collaborative teams focused on diversity and inclusion, with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ 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 hands-on 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 solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – 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 – 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's scope for you to make a huge difference – 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.
Required qualifications, capabilities, and skills
- 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: Hands-on with Kafka (topics, keys, partitions, consumer groups) at-least-once semantics, and schema registry basics.
- Warehousing/lakehouse: Data modelling, partitioning, clustering. Hands-on 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. FinOps-aware with cost-effective 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 time-travel. Security/RBAC, PII handling, and governance basics.
Preferred qualifications, capabilities, and skills
- AWS/GCP Certifications.
About Us
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 first-class business in a first-class way approach to serving clients drives everything we do. 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.
About The Team
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 employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Data Engineering
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with data pipelines, cloud technologies, and programming languages like Python. Show them you’re not just a fit on paper but in practice too!
✨Tip Number 3
Don’t forget to showcase your soft skills! JPMorgan Chase values collaboration and curiosity, so be sure to share examples of how you’ve worked well in teams and tackled challenges creatively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the team. Let’s get you that Lead Software Engineer role!
We think you need these skills to ace Lead Software Engineer - Data Engineering
Some tips for your application 🫡
Show Your Passion for Tech: When you're writing your application, let your enthusiasm for technology shine through! We want to see how you’ve used your skills in Python, Java, or any other tech to solve real-world problems. Share specific examples that highlight your curiosity and commitment to innovation.
Tailor Your Application: Make sure to customise your application to reflect the job description. Highlight your experience with data pipelines, cloud technologies, and security compliance. We love seeing candidates who understand our mission and can demonstrate how their background aligns with our goals.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, especially when it comes to technical details like ETL/ELT pipelines or cloud services. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description, especially Python and JVM languages. Brush up on your SQL skills, particularly joins and aggregations, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex data engineering challenges in the past. Think about times when you designed scalable architectures or optimised data pipelines, and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Collaboration and Curiosity
Since the company values teamwork and a curious mindset, be prepared to share experiences where you worked effectively in a team setting. Highlight any instances where your curiosity led to innovative solutions or improvements in projects.
✨Understand the Company Culture
Familiarise yourself with the company's mission and values, especially their focus on diversity and inclusion. Be ready to discuss how your unique background and perspective can contribute to a more inclusive environment and help the team achieve its goals.