data engineer.

• Design, implement, and maintain robust, scalable, and secure data pipelines and architectures using Microsoft Fabric and related tools in hybrid cloud environments.
• Manage data ingestion, transformation, and storage processes within Fabric Lakehouses / Delta Lakes utilising PySpark, PySQL, and .delta format to optimize and maintain data availability for reporting and analytics
• Utilize advanced SQL development techniques for database management, integration, query optimization, and performance tuning.
• Monitor and troubleshoot data pipelines, resolving issues to ensure high availability, reliability, and performance.
• Collaborate with the program’s Data Engineer to design, model, and implement best-practice data solutions, ensuring scalability, security, and alignment with program objectives.
• Facilitate the seamless transition of data solutions from the program to Business-as-Usual (BAU) operations, ensuring operational readiness and continuity.
• Implement data quality management techniques to identify and resolve issues, ensuring data integrity and compliance with governance standards.
• Prepare and normalize large data sets to support statistical and machine learning models, enabling advanced analytics and decision-making.
• Identify opportunities to enhance data analysis capabilities, including optimizing models and improving analytics workflows.
• Work closely with the Data and Analytics team to align operational data solutions with business reporting and analytics objectives.
• Engage with cross-functional teams to identify and implement improvements in data management practices, fostering collaboration across ICT and business units.
• Provide mentorship and training to team members on data engineering tools, techniques, and best practices.
• Create and maintain detailed technical documentation, including data architecture designs, operational processes, and troubleshooting guides.
• Implement and support DevOps practices for continuous integration, continuous delivery (CI/CD) to streamline data solution deployments and enhance platform reliability and agility.
• Familiarity with Data Modeling, including conceptual, logical, and physical designs to support scalable and efficient data solutions

• Proven 3+ years of experience in data engineering, with expertise in Azure Synapse, data pipelines, data lake architectures, and SQL-based tools (SSIS, SSRS).
• Proven ability to design, implement, and manage scalable data solutions in hybrid cloud environments, including advanced data preparation and transformation techniques.
• Proficiency in building and managing data pipelines, ingestion, and transformation processes using Azure tools and frameworks.
• Strong SQL development skills, with experience in advanced database management and integration solutions.
• Familiarity with statistical and machine learning models, including the preparation, normalization, and optimization of large data sets.
• Solid understanding of data quality management techniques, including identifying and resolving issues to ensure reliable and accurate data.
• Microsoft Azure Data Engineer Associate or equivalent certification highly desirable. Additional certifications in SQL, data engineering, or related practices are a bonus.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.