Data Analytics Engineer

Job type: Permanent
Location: Wrightbus
Closing date: Monday 29 Jun :00
"We reserve the right to close this vacancy early if we receive sufficient applications from suitably qualified and experienced candidates. We therefore encourage early applications."
All applicants must hold valid right to work in the UK. Please be aware that we are unable to provide visa sponsorship for this position now or in the future.
Wrightbus is a fast-paced, high-growth company at the forefront of zero-emission transport solutions. We're looking for skilled and motivated Data Analytics Engineer who owns how data moves across the business.
The Role:

• Build and maintain pipelines that bring data together from across the business (SQL databases, REST APIs, SaaS applications, flat files and event streams) into a central platform such as Microsoft Fabric/Snowflake
• Develop ELT/ETL processes using tools such as dbt, Power Query (M), Spark, Azure Data Factory or Fabric Data Pipelines and Dataflows Gen2.
• Design dimensional models and reusable semantic models that capture business logic once and serve it consistently to every downstream tool.
• Author efficient transformations in SQL, dbt or DAX for metrics such as year-on-year change, rolling averages and cohort analysis.
• Keep models lean and performant sound modelling typically reduces query latency by 30-60% and prevents inconsistent or incorrect KPIs.
• Profile, validate and cleanse incoming data, and build automated tests and data-quality checks so issues are caught before they reach a report.
• Monitor pipeline and refresh runs, troubleshoot failures, and meet agreed SLAs (for example, refresh windows under 30 minutes).
• Tune platform performance and cost using partitioning, aggregations, query optimisation and appropriate storage/compute choices.
• Manage deployment across environments, configure row-level and object-level security, and support CI/CD and DataOps pipelines for releases and rollback.
• Build and certify trusted datasets and semantic models so business users can safely explore data and build their own reports across whichever tools suit them (Power BI, Fabric, Excel or others).
• Deliver reference dashboards and reports in the most appropriate tool for the audience, treating the visualisation layer as interchangeable on top of a solid data foundation.
• Produce clear, well-laid-out visuals that reduce decision lag and help teams act quickly.
• Run regular (weekly or biweekly) sessions with product owners and business stakeholders to translate business questions into measurable KPIs, data requirements and prototypes.

Requirements :

• A third-level qualification in Computer Science, Information Systems, Data, Software Engineering or a related discipline is preferred.
• Proven experience (typically 3+ years) in data, analytics or BI roles, with a strong recent focus on data engineering and modelling rather than a single reporting tool.
• Experience building data pipelines and models that integrate three or more major data sources.
• Experience working with large datasets, for example exceeding 50 million rows.
• Hands-on delivery on at least one modern cloud data platform such as Microsoft Fabric, Snowflake, Databricks, Synapse or BigQuery.
• Experience building governed self-service and semantic layers that enable other teams to report independently.

The Benefits:

• Discretionary bonus
• Life Insurance
• Medicash scheme
• Discount with local businesses e.g. Galgorm Spa Resort and McAtamney's.
• Free car parking
• Canteen
• Career progression
• Professional development
• Flexitime

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