{"id":3504720,"url":"https://alion.io/job/atomts-data-ai-engineer","title":"Data & AI Engineer","company":{"id":4487797,"name":"Atomts","domain":"atomts.co.uk","url":"https://alion.io/company/atomts","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Informatica","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Make.com","optional":false},{"name":"MicroStrategy","optional":false},{"name":"n8n","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAP HANA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-04T07:39:19Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"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.\nHands-on Engineering & Delivery\nDevelop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts.\nImplement robust web scraping solutions.\nOptimise performance and cost of data workloads (partitioning, compression, query tuning, etc).\nData Modelling & Platform Contribution\nApply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.\nContribute to the evolution of the cloud data architecture under the guidance of the Principal Data & AI\nAnalytics, BI, ML & AI Enablement\nWork 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.\nExpose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools.\nQuality, Governance & Security\nFollow data governance, data quality, and metadata management practices across the platform.\nApply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring).\nCollaboration & Ways of Working\nPartner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.\nContribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.\nRequirements\nKNOWLEDGE AND SKILLS\nHands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.\nStrong programming skills in Python, SQL and other relevant languages.\nProven experience in developing ETL/ELT pipelines using various technologies, including but not limited to AWS Glue, dbt, Informatica, Talend, Python, SQL, etc.\nWorking knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.\nExperience with analytical frontend tools (e.g. MicroStrategy, Power BI, Tableau, Spotfire, SAP Analytics Cloud).\nExposure 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 frameworks.\nExperience delivering CI/CD and DevOps capabilities in a data environment.\nA bachelor’s or master’s degree in computer science, Statistics, Mathematics or related.\nA collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.\nAt minimum 5 years of experience in a similar role.\nBenefits\nWork in an international environment\nInnovation in FinTech\nPrivate Health Insurance\nHybrid Working Model\nTraining & Development\nPerformance Bonus","description_format":"text","description_chars":3324,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Arab Emirates","iso":"AE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-30T05:13:05Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long 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