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Data Analytics Engineer, UK

Maximus
Remote, GBR
Full-time
Remote
Discovered 1 weeks ago
SQLAnalytics engineeringData modellingData transformationMicrosoft FabricAzure Synapse

Full Job Posting

Location and employment

  • The role is remote in the United Kingdom.
  • The position is full-time.

Role overview

The Data Analytics Engineer builds trusted, reusable and documented data products for BI, analytics, operational reporting and future AI-enabled use cases.

The role connects data engineering, data architecture and BI through scalable models, semantic layers and reusable transformation logic.

Responsibilities

  • Translate business reporting needs into analytics requirements and data product specifications.
  • Build and maintain analytics-ready datasets, fact and dimension models, reusable metrics and semantic structures.
  • Develop modular SQL transformations with version control and maintainable business rules.
  • Partner with data engineers on pipelines, source-to-target requirements and data quality.
  • Implement data tests, reconciliations, metric validation, documentation reviews and controlled releases.
  • Document model definitions, lineage, business rules, ownership, limitations and usage guidance.
  • Promote reusable data products, semantic modelling, automation and AI-ready foundations while reducing duplicated logic.

Essential requirements

  • 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 modelling.
  • Advanced SQL and experience building reusable, tested and documented transformations.
  • Experience designing analytics-ready models, including 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.
  • Experience with Power BI or similar BI tools and with dbt, SQLMesh, Fabric semantic models or equivalent tools.
  • Ability to work with data engineers, data architects, BI teams and business stakeholders.

Desirable experience

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

Key stakeholders

Internal stakeholders include BI and analytics, data engineering, data architecture, data governance and quality, business product owners, operational subject-matter experts, and technology operations and platform teams.

External stakeholders include data suppliers and partner organisations.

Competencies

The posting names respect, effective partnership, innovation, customer focus, compassion, responsibility, integrity, business acumen, communication and data-driven decision-making among its competencies.

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