Lead Data Engineer

Job Description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Please make an application promptly if you are a good match for this role due to high levels of interest.

JOB DESCRIPTION

Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact.

Job summary

As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction.

Job responsibilities

• Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt

Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform componentsContainerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutionsOwn critical data systems by improving reliability, scalability, security, and operational excellenceMentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing

Required qualifications, capabilities, and skills

• Degree in Computer Science or a STEM-related field (or equivalent)

Demonstrated experience delivering in an agile, fast-paced engineering environment8 years of recent, hands-on professional experience actively coding as a data engineerStrong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)Strong Python programming skills, including unit and integration testingHands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems

Preferred qualifications, capabilities, and skills

• Data modeling experience for analytics and reporting use cases

Knowledge of security, risk, compliance, and governance considerations for data platformsExperience building continuous integration and continuous delivery automation for data and platform servicesExperience with container-based deployment environments (Docker, Kubernetes, etc.)Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture

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. Visit our

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ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. xxuwjjq Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.