Join a forward-thinking organisation at the forefront of Telematics, Fleet Management, and Data Reporting. This is a high-visibility Technical Lead role where your expertise in Data Engineering, Azure, PowerBI, and large-scale data environments will directly influence business-critical solutions. Work in a collaborative, innovation-driven environment that values technical excellence, continuous learning, and strategic impact. Youll be part of a team thats shaping the future of data-driven decision-making in a fast-paced, high-volume data landscape. Key Responsibilities Lead and mentor Data Engineering teams across multiple projects and platforms Drive delivery of complex data engineering solutions in telemetry and fleet management Ensure best practices in data architecture, testing, and performance optimisation Collaborate with cross-functional teams to align technical delivery with business strategy Job Experience and Skills Required BEng (4 yrs.), BSc (Comp Sci), or equivalent STEM degree from a recognized university 4 years in Data Engineering within large-scale environments 2 years recent hands-on experience in: Big Data and telemetry projects MSSQL, SSAS, SSRS, SSIS PowerBI, Azure Data Lake, Databricks SQL, Python, PySpark Technical leadership and mentoring Strong command of SQL, Python, DAX, PowerBI, PySpark Experience with Azure data services and ETL pipelines Familiarity with GIS tools and telemetry data processing Advanced user experience with Microsoft Server OS and Linux terminal Non-negotiables Proven technical leadership in data engineering Hands-on experience with large-scale production data Ability to mentor and guide junior engineers Apply now!

Company and Role Overview: Our client is a leader in providing innovative data-driven solutions in the Telematics and Fleet Management industries. As a Senior Data Engineer, youll lead the design, development, and delivery of data engineering solutions, ensuring they align with strategic goals. This role offers an exciting opportunity to influence key projects, manage a skilled team, and work with the latest data technologies, including Azure and PowerBI. Why work for our client? Lead impactful, large-scale data projects Shape the direction of data engineering in a growing company Competitive salary and benefits Career growth opportunities with continuous learning Key Responsibilities: Leadership : Provide technical direction and mentorship to Data Engineering teams, ensuring high-quality delivery of projects and alignment with organizational goals. Data Engineering Projects : Lead the development and delivery of large-scale data solutions, ensuring timely, on-budget, and high-quality results. System Maintenance & Support : Oversee system upkeep, database optimization, and codebase enhancements to maintain data integrity and performance. Knowledge Sharing : Mentor junior engineers and document best practices to ensure effective knowledge transfer across teams. Experience and Skills Required: Education : BEng , BSc (Comp Sci) , or a related STEM qualification. Other degrees in IT, Math, or Stats will be considered with relevant experience. Experience : At least 4 years in Data Engineering, with hands-on experience in ETL , Data Warehousing , and Big Data environments. Minimum 2 years in a leadership role, managing data engineering teams and delivering large-scale data projects. Skills : SQL (MSSQL required; other databases like Oracle/MySQL a plus) PowerBI , SSRS , SSAS experience Strong programming in Python , DAX , with knowledge of PySpark and other tools like Azure , Databricks , Synapse Experience with GIS or telemetry data processing is beneficial Apply Now!

Our Client specialises in intelligent mobility solutions thriving on solving complex challenges in the fields of telematics, fleet management, and data analytics. Their culture is built on collaboration, continuous learning, and delivering excellence. Key Responsibilities: Leading the design, development, and maintenance of large-scale data products and services Driving technical excellence across data engineering, warehousing, reporting, and business intelligence Collaborating with cross-functional teams to deliver robust, scalable, and high-performance data solutions Mentoring junior engineers and fostering a culture of knowledge sharing and continuous improvement Ensuring best practices in testing, documentation, and system maintenance Requirements: Bachelors degree in Engineering, Computer Science, or a related STEM field 5 years of hands-on experience in large-scale data engineering environments Proven track record in SQL (MSSQL, SSAS, SSRS, SSIS), PowerBI, and Azure data services Strong programming skills in Python, DAX, and PySpark Experience with ETL pipelines, data warehousing, and real-time data processing Exposure to geospatial/telemetry data and collaboration with data science teams Familiarity with GIS tools, Microsoft Server OS, and Linux terminal environments Advanced knowledge of data architecture, feature engineering, and performance optimization Experience in technical leadership and managing delivery across teams Apply now!