Job category: Hardware Design and EngineeringLocation: CenturionContract: PermanentRemuneration: Market RelatedEE position: YesIntroductionTracker requires the services of a Lead Data Engineer, a technical leadership role in the effective and high-quality delivery of analysis, design, development, and maintenance of large-scale products and services in the areas of Data Engineering, Data Warehousing, MSSQL, SSAS, SSRS and Reporting, PowerBI and Business Intelligence, ETL, Azure data processing and relevant non-SQL data environments.KEY DUTIES AND RESPONSIBILITIES:LeadershipProvide technical leadership in delivery of Data Engineering products and solutions, within team and across teams.Provide effective technical management and guidance of staff in Data Engineering teams.Continuously align delivery to the Tracker and Data Science team strategy and planning.When relevant, provide input into the annual salary review process as and when required.Delivery of Data Engineering projectsDeliver Data Engineering & related projects on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.Assist in definition and design of technical implementation related to area of responsibility, while collaborating with managers, team leads, other technical leads and architects.Best practice quality and testingMeet best practice criteria in the evaluation and testing of all data code e.g., SQL, reporting software, data products.When relevant, assure that team members adhere to and follow these practices.System maintenance and supportComplete and ensure team completion of work orders in appropriate timescales.Maintain systems, SQL & related code bases and data products without introducing new defects.Enhance systems, SQL & related code bases and data products to support and transition to new technologies.Knowledge transferShare knowledge with Data Engineering and other teams.Proper documentation of designs, systems architecture, enhancements, etc. to facilitate knowledge sharing.Mentor and coach Data Engineering members.Engineering processes and environmentEnsure that best practice development processes and standards, as adapted to Data Engineering and Data Science are followed.Effective use of Data Engineering and related development toolsets.Follow department development standards as adapted to Data Science and Data Engineering.Knowledge and SkillKeep abreast of industry and technology knowledge, trends and best practices.Business AcumenDemonstrate strong customer orientation.Demonstrate cross-functional expertise and the ability to thrive in highly complex environments.Leadership AcumenDemonstrate strong technical leadership attributes.QUALIFICATIONS AND TRAININGDegree / Diploma/ Equivalent with 4 years of relevant work experience or 6 years of relevant work experience in data engineering; other relevant fields will be considered such as data science, data analytics, machine learning or BI development.Training in related areas and skills would be advantageous.At least 2 years in lead data engineering role advantageous.Certifications in Azure environment would be advantageous.Working knowledge and understanding of the following:Deep understanding of Microsoft SQL Server Technologies (MSSQL, SSRS, SSIS, SSAS).Strong hands-on experience with SQL, ETL processes and data warehousing methodologies.Experience working with large data warehouses, including building and maintaining tabular/cube models in SSAS.Excellent problem-solving skills, with the ability to easily determine best solution on large and different datasets.Ability to translate business needs into data-driven SSRS reports, and then to present it with the relevant business acumen to internal and external stakeholders.Effective communication and collaboration abilities to work closely with cross-functional teams.Detail-oriented mindset with a commitment to delivering high-quality and robust processes.Experience in the telematics or automotive industry is a plus.Technologies - Working experience in a cross-section of the following technologies (recent 4 years) is required:Project Participation: Agile frameworks like Scrum or Kanban.Programming: Excel, SQL, DAX, Power-M Query, Python (advantageous).Geospatial: QGIS is advantageous.MS SQL: SQL, SSRS, SSIS and SSAS.Do you require assistance with the registration or application process?Click the button below to visit our FAQ/Support page and ask for help.
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