Lead Software Engineer Data Engineering

Out of the successful launch of Chase UK in 2021 were a new team with a new mission. Were 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. Were 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 youll have the opportunity to move between them.

While were looking for professional skills culture is just as important to us. We understand that everyones 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 theres 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