Back to jobsStrong analytical engineering and data development experience: Proven experience designing and building analytics‑ready datasets, ETL pipelines, and reporting layers in modern data environments.
Advanced SQL and data transformation skills: You are confident developing and maintaining complex SQL transformations and working with large, structured datasets.
Power BI, dataflows, and reporting enablement experience: Hands‑on experience with Power BI, semantic models, dataflows, and feeding reliable data into dashboards and MI.
AI‑ready data mindset: You understand how data architecture, quality, and metadata underpin AI and GenAI solutions, and have experience preparing data for advanced analytics or AI use cases.
Strong ownership and delivery mindset: You take responsibility for your data products end‑to‑end, can manage competing priorities, and focus on building sustainable solutions rather than one‑off fixes.
Ability to work between technical and non‑technical audiences: You can explain data concepts clearly to business users and translate business requirements into well‑designed data solutions.
Ability to turn data into business value: You understand the potential of data to drive better outcomes and can positively influence outcomes with your skills and ideas.
Fluent spoken and written English
