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 & DeliveryDevelop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data martsImplement robust web scraping solutionsOptimise performance and cost of data workloads (partitioning, compression, query tuning, etc)Data Modelling & Platform ContributionApply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use casesContribute to the evolution of the cloud data architecture under the guidance of the Principal Data & AIAnalytics, BI, ML & AI EnablementWork 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 storesExpose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical toolsQuality, Governance & SecurityFollow data governance, data quality, and metadata management practices across the platformApply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring)Collaboration & Ways of WorkingPartner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutionsContribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standardsRequirementsKNOWLEDGE AND SKILLSHands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platformsStrong programming skills in Python, SQL and other relevant languagesProven experience in developing ETL/ELT pipelines using various technologies, including but not limited to AWS Glue, dbt, Informatica, Talend, Python, SQL, etcWorking knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plusExperience with analytical frontend tools (e.g. MicroStrategy, Power BI, Tableau, Spotfire, SAP Analytics Cloud)Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworksExperience delivering CI/CD and DevOps capabilities in a data environmentA bachelor's or master's degree in computer science, Statistics, Mathematics or relatedA collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teamsAt minimum 5 years of experience in a similar roleBenefitsWork in an international environmentInnovation in FinTechPrivate Health InsuranceHybrid Working ModelTraining & DevelopmentPerformance Bonus