Applications Data Engineer

The Applications Data Engineer is responsible for leading the design, delivery, and ongoing evolution of enterprise analytics solutions on the Azure data platform.

This role combines hands-on data engineering with strong business engagement. The Data Engineer works closely with business stakeholders, product owners, and IT teams to understand business requirements and translate them into scalable, cloud-based data solutions using Azure Data Lake, Databricks, and Power BI.

The role provides technical direction, establishes data engineering best practices, and ensures analytics solutions are delivered end-to-end - from data ingestion and transformation through to trusted, business-ready datasets and Power BI dashboards that support insight-driven decision making. dashboards-at the right quality, performance, and governance standards.

Main responsibilities

• Work with stakeholders across the organisation to understand business needs and identify opportunities to leverage data to drive business outcomes
• Translate business requirements into scalable data pipelines, analytical datasets, and reporting solutions
• Provide regular updates to stakeholders on progress, risks, and challenges throughout delivery
• Design, build, and maintain robust data pipelines using Azure Data Lake and Databricks to ingest, transform, and curate data
• Develop and optimise data transformations, integrations, and data models to ensure high-quality, reliable, and performant datasets
• Assess the effectiveness of data sources and data-collection methods, recommending and implementing improvements where required
• Deliver Power BI semantic models, reports, and dashboards that clearly communicate insights and support data-driven decision making
• Analyse enterprise data to support optimisation, performance improvement, and operational insights
• Promote reuse of datasets, data models, and analytics assets across multiple business functions (e.g. operations, finance, HR, marketing)
• Stay informed of emerging technologies, tools, and techniques relevant to data engineering and analytics
• Conduct research, prototypes, and proofs of concept to validate new approaches and enhance the data platform
• Ensure data solutions meet governance, security, and compliance requirements, including SOX, ISO, and ITIL frameworks
• Apply data engineering best practices across data quality, documentation, monitoring, and operational support

Do you have experience in Presentation skills?, Do you have a Bachelor's degree?, * A bachelor's degree in Information Technology subject (or similar)

• Certified in ITIL Foundation
• PRINCE2 qualification

Required knowledge and experience

• Strong experience leading end-to-end data and analytics delivery in a business-facing environment
• Proven ability to translate business requirements into technical solutions
• Hands-on experience with Data Lake (ADLS)
• Strong experience using Databricks.
• Experience delivering Power BI data models, dashboards, and reports
• Strong data modelling expertise
• Solid understanding of data governance, data quality, and security principles, * Strong internal and external stakeholder communication skills
• Ability to problem solve
• Excellent teamworking skills
• Presentation skills