The Data Engineer will be responsible for designing, developing, and maintaining efficient and reliable data solutions to support the organization’s analytical and reporting needs. The role involves building and optimizing data pipelines, ensuring data quality and accessibility, and supporting business intelligence initiatives using modern data technologies.
Key Deliverables
Design, develop, and maintain scalable data pipelines and integration workflows.
Implement and manage ETL/ELT processes to ensure data accuracy and timeliness.
Build and support data models and visualizations in Power BI to provide actionable insights.
Utilize Azure Fabric services for data storage, transformation, and orchestration.
Develop data processing solutions using SQL, Spark, and/or Python.
Implement data streaming processes to support real-time analytics and reporting.
Collaborate with business and technical teams to understand data requirements and deliver high-quality solutions.
Knowledge of CoPilot or LLM models for Gen AI and Agentic AI is desired.
Ensure adherence to data governance, privacy, and compliance standards.
Prepare technical documentation and analytical reports using Microsoft Office applications.
Actively engage in continuous improvement ensuring suggestions and opportunities are
highlighted to your line manager.
Demonstrate commitment to the core values of the company.
Take a participative role in the Company’s sustainability initiative and ensure where possible your actions support the achievement of this initiative; reuse, recycle and replenish.
Ensure compliance with all health and safety, corporate, client and legislative standards across the function
Relationships
You will be required to develop and maintain positive and progressive working relationships both internally and externally, in order to facilitate growth and integration across the business.
Salary
This role offers a competitive salary, dependent on experience. We operate a reward strategy based on our team members receiving a salary that best reflects their experience and skill level.
Hours of work
You may be required to work evenings and weekends during busy periods in order to meet the demands of the business, including overseas travel as required.
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