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Data Analytics Engineer, UK

Maximus
Remote, GBR
Full-time
Remote
Discovered 5 days ago
SQLAnalytics engineeringData modelingData transformationMicrosoft FabricAzure Synapse

Full Job Posting

Role overview

Remote, full-time Data Analytics Engineer role with Maximus in the United Kingdom.

Build reusable, trusted data products for BI, analytics, operational reporting and future AI-enabled use cases.

Bridge data engineering, data architecture and BI by translating business rules and analytical needs into scalable models and reusable logic.

Responsibilities

  • Translate stakeholder reporting and decision-making needs into analytics requirements and data-product specifications.
  • Design and maintain curated datasets, fact/dimension models, reusable metrics and semantic structures for self-service analytics.
  • Develop modular, transparent, version-controlled and maintainable SQL transformations.
  • Partner with data engineers on upstream pipelines, source-to-target requirements, data-quality issues and downstream analytics readiness.
  • Implement data tests, reconciliation checks, metric validation, documentation reviews and controlled releases.
  • Document model definitions, lineage, business rules, ownership, limitations and appropriate usage.
  • Champion reusable data products, semantic modeling, automation, AI-ready foundations and reduced duplication across reports.

Essential qualifications and experience

  • Degree or equivalent experience in data, analytics, computer science or a related field.
  • At least 5 years in data, including at least 2 years in analytics engineering, BI engineering or data modeling.
  • Advanced SQL and experience building reusable, tested, well-documented transformation logic.
  • Experience designing curated datasets, fact/dimension models or semantic datasets.
  • Experience with a modern cloud data platform such as Microsoft Fabric, Synapse, Databricks, Snowflake or equivalent.
  • Understanding of data quality, lineage, governance, privacy and access control in analytical environments.
  • Experience with Power BI or similar BI tools and model design implications for reporting.
  • Ability to work confidently with data engineering, architecture, BI and business stakeholders.
  • Experience with dbt, SQLMesh, Fabric semantic models or equivalent analytics engineering tools.

Desirable experience

  • Experience building governed data products in regulated or complex environments.
  • Experience with data catalogues, lineage, metadata or business glossary tools.
  • Exposure to AI-ready datasets, advanced analytics or machine-learning use cases.

Key working relationships and competencies

Works with BI and Analytics, Data Engineering, the Data Architect, Data Governance and Data Quality teams, business product owners, operational subject-matter experts, and technology/platform teams.

External relationships include data suppliers and partner organizations.

Listed competencies include respect, effective partnership, innovative solutions, customer focus, compassion, responsibility, integrity, communication and data-driven decision-making.

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