Data Engineer - Healthcare (Remote)

About this role

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Reporting to the Director of Analytics, the Data Engineer will design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.

You will

• Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions, while ensuring data quality, performance, and cost efficiency across the platform.
• Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
• Design and manage lakehouse architectures, using technologies like Apache Iceberg and Glue Catalog to support ACID transactions, schema evolution, and performant analytics.
• Support machine learning and LLM projects by preparing and delivering datasets for use in Amazon SageMaker and Amazon Bedrock.

Qualifications

• 3+ years of experience in data engineering or related roles
• 3+ years experience with Python and SQL
• 3+ years hands-on exp...