At a Glance
- Tasks: Design and develop scalable data solutions that make a real impact on customers.
- 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 collaborate with diverse teams.
- Qualifications: Experience in Python, SQL, and data pipeline development is essential.
- Other info: Dynamic team with a focus on collaboration and personal development.
The predicted salary is between 48000 - 84000 £ per year.
Out of the successful launch of Chase UK in 2021, we’re a new team, with a new mission. We’re 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’re people-first. 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’re 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.
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: JPMorganChase
Contact Detail:
JPMorganChase 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 folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. It’s a great way to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for interviews by practicing common questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. 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 your collaborative mindset. Share specific examples of how you've contributed to team success and solved real-world problems in previous roles.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include details about your experience with data pipelines, cloud services, and any relevant frameworks like Spark or Kafka. This will help us see your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at JPMorganChase
✨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 and be ready to discuss data pipelines and cloud services like AWS or GCP.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data engineering challenges in the past. Highlight your solution-oriented mindset and how you’ve used new technologies to create impactful solutions.
✨Emphasise Collaboration and Culture Fit
Since the company values collaboration and diversity, be ready to discuss your experiences working in teams. Share how you’ve contributed to a positive team environment and how you embrace different perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects, the company’s approach to innovation, and how they support employee growth. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.