Job Description
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
Required Education And Qualifications
* 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
Required Skills And Competencies
* Strong internal and external stakeholder communication skills
* Ability to problem solve
* Excellent teamworking skills
* Presentation skills
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