Data Engineer

The role

This role sits within the Data Engineering team, focused on keeping data trustworthy so decisions across the company can rely on it. The engineer builds datasets used heavily by marketing stakeholders and contributes shared frameworks for other data teams. The position works closely with business leaders and the Data Infrastructure group.

What you would do

• Plan, build, and extend complete data products that handle growing processing and analysis demands
• Advance Databricks and cloud data engineering practices and help teams adopt them
• Use AI to create self-service tools and speed up data and go-to-market workflows
• Build relationships with business and technical colleagues to keep data strategy aligned
• Set up mechanisms that protect data quality, governance, and reliability

What they asked for

• Three or more years of hands-on work in data or software engineering
• Technical degree or equivalent practical experience in a computing or engineering field
• Working knowledge of cloud data processing and storage tools such as Databricks, Spark, and Airflow
• Strong SQL skills plus proficiency in at least one modern programming language
• Self-motivated, able to spot opportunities and deliver solutions independently
• Clear communicator who can explain technical topics to non-technical audiences
• Interest in AI tools and newer technologies and willingness to apply them to daily work