Data & AI Engineer

As a Data & AI Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation. Reporting to the Principal Data & AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM’s customers and stakeholders. Hands-on Engineering & Delivery - Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts. - Implement robust web scraping solutions. - Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc). Data Modelling & Platform Contribution - Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases. - Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data & AI Analytics, BI, ML & AI Enablement - Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores. - Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools. Quality, Governance & Security - Follow data governance, data quality, and metadata management practices across the platform. - Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring). Collaboration & Ways of Working - Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions. - Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.