Data Engineer III

JPMorgan Chase & Co.; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer III, where your expertise will drive the evolution of data solutions. In this dynamic role, you'll design and implement scalable data systems, focusing on ingestion and transformation processes. Collaborate with diverse teams to ensure data quality while fostering innovation and excellence. This opportunity offers a collaborative environment that encourages career growth and meaningful contributions to impactful projects. If you are a self-starter passionate about data engineering and eager to tackle unique challenges, this position is perfect for you.

Qualifications

• 3+ years of experience in data engineering with a focus on Python and SQL.
• Hands-on experience with MPP databases and modern data platforms.

Responsibilities

• Design and implement scalable data solutions for timely data availability.
• Collaborate with cross-functional teams to ensure data quality.

Skills

Python programming

SQL

Data modeling

Cloud platforms (AWS, GCP, Azure)

SDLC practices

Data governance

Distributed systems

Education

Formal training or certification in Python programming

Tools

Redshift

BigQuery

Snowflake

Spark

Flink

Trino

Airflow

dbt

Terraform

Kubernetes

Kafka

FastAPI

Flask

Job description

Are you ready to elevate your career in data engineering? Join our dynamic team at Chase UK, where your expertise will shape the future of our data lake and drive impactful business decisions. We offer unparalleled opportunities for career growth in a collaborative environment where you can thrive and contribute to meaningful projects.

As a Data Engineer III at JPMorgan Chase within the Chase UK team, you will design and implement scalable data solutions, focusing on the ingestion and transformation stages. You will leverage modern technologies to tackle unique challenges and work on projects with broad impact. Your role will involve collaborating with cross-functional teams to ensure data quality and availability, while fostering a culture of innovation and excellence.

Job Responsibilities

• Design and implement complex, scalable solutions to process data and ensure timely availability for querying.
• Develop reusable frameworks, prioritizing quality and long-term sustainability.
• Thrive in a challenging environment and provide hands-on contributions across various projects.
• Participate in regular code reviews to maintain code quality and adhere to best practices.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on Python programming concepts and 3+ years applied experience.
• Extensive development experience using SQL.
• Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino.
• Familiarity with workflow management tools (e.g., Airflow) and/or dbt for transformations.
• Comprehensive understanding of modern data platforms, including data governance and observability.
• Experience with cloud platforms (AWS, GCP, Azure).
• Self-starter capable of delivering production-ready solutions with minimal supervision.
• Strong SDLC practices, viewing data engineering as a software engineering discipline.
• Solid theoretical fundamentals in topics such as database internals, distributed systems, and design patterns.

Preferred Qualifications, Capabilities, and Skills

• Data modeling skills.
• Familiarity with Terraform, Kubernetes, Kafka.
• Experience with web frameworks such as FastAPI or Flask.