Data & BI Engineer

ForterroAshburn, VA
Onsite

About The Position

As a Data Engineer within our Enterprise IT Applications team, you will play a key role in advancing our data-driven strategy. Working closely with stakeholders across multiple teams and geographies, you will design, develop, and optimise scalable data solutions that enable reliable reporting, analytics, and business decision-making. You will be responsible for maintaining and evolving our centralised data warehouse, building robust ETL pipelines, and ensuring data quality, security, and governance across our data ecosystem. This is a hands-on role suited to someone who enjoys solving complex data challenges, driving continuous improvement, and turning business requirements into effective technical solutions.

Requirements

  • Proven experience in designing and delivering data warehouse solutions.
  • Strong expertise in SQL, ETL processes, data modelling, and cloud-based data platforms.
  • Confident building and maintaining robust data pipelines, ensuring data quality, governance, and security standards are consistently met.
  • Enjoy collaborating with both business and technical stakeholders, translating requirements into effective data solutions.
  • Strong communication skills, attention to detail, and a proactive approach to problem-solving are essential.

Nice To Haves

  • Experience within ERP environments, data migrations, and system integrations is highly valued.
  • Hands-on experience with Azure Data Factory (ADF).
  • Strong SQL and data modelling skills, ideally with Azure Synapse Analytics.
  • Familiarity with the Azure data ecosystem, including Data Lake Storage, Azure Functions, and Microsoft Purview.

Responsibilities

  • Design, develop, and maintain scalable data warehouse solutions, ETL pipelines, and data models.
  • Extract, transform, and integrate data from multiple source systems while applying business logic and validation rules.
  • Develop and automate data processes, reports, and dashboards to support business intelligence initiatives.
  • Partner with business and technical stakeholders to understand requirements and deliver impactful data solutions.
  • Monitor, analyse, and resolve data quality issues, ensuring accuracy, consistency, and compliance.
  • Identify opportunities to improve data collection, integration, and reporting processes.
  • Collaborate with reporting and analytics teams to ensure efficient and reliable data delivery.
  • Lead data-focused projects and manage priorities effectively across multiple initiatives.
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