We are seeking an experienced Data Engineer to join our iOCO Digital team. The ideal candidate will have at least 5 years of proven expertise in the Microsoft stack, with strong skills in Azure Data Services and Microsoft Fabric. This role offers the opportunity to work across diverse industries, designing and delivering scalable data solutions that enable advanced analytics and business insights. What you’ll do: Design, build, and maintain robust data pipelines using the Microsoft data ecosystem. Implement and optimize data solutions on Azure Data Lake, Azure Data Factory, Synapse Analytics, and Fabric. Develop and maintain ETL/ELT processes to ensure data quality, consistency, and reliability. Collaborate with architects, data scientists, and business analysts to deliver data models that support analytics and reporting. Ensure solutions follow best practices in performance, scalability, governance, and security. Support the migration of legacy systems to Azure and Microsoft Fabric environments. Stay up to date with new technologies within the Microsoft ecosystem and recommend innovative approaches. Your expertise: Minimum of 5 years’ experience as a Data Engineer. Strong experience with the Microsoft stack, including: SQL Server / T-SQL SSIS, SSRS, SSAS Power BI (nice to have for reporting support) Hands-on experience with Azure Data Services: Data Factory, Synapse Analytics, Data Lake, Databricks (advantageous). Proven working knowledge of Microsoft Fabric. Solid understanding of data modeling, warehousing, and integration principles. Experience working in Agile environments. Excellent problem-solving skills with a strong focus on delivery. Other information applicable to the opportunity: Contract position (OnSite) Location: Cape Town

PBT Group is seeking skilled Data Engineers for opportunities in Cape Town. The successful candidates will be responsible for the effective movement, collection, integration, storage, and provisioning of data to meet business objectives. This role requires a strong understanding of data architecture principles, collaboration across multidisciplinary teams, and a commitment to delivering high-quality, end-to-end data solutions. Key Responsibilities Design, build, and maintain data pipelines and ETL processes to support analytical and operational data needs. Collaborate with Enterprise Architects, Database and Solution Architects, BI Developers, Data Scientists, and Product Owners to deliver integrated data solutions. Demonstrate proficiency in SQL, SAS, Python, and Cloud technologies (AWS or Azure). Deliver end-to-end data engineering solutions, from ingestion to provisioning. Contribute to data quality assurance, governance, and performance optimisation. Work in an Agile environment, driving continuous improvement and innovation. Ensure all development aligns with architectural standards and security best practices. Ideal Candidate Profile Strong analytical and problem-solving skills with a keen eye for data integrity and optimisation. Able to communicate complex data concepts clearly to both technical and non-technical audiences. Self-motivated, detail-oriented, and comfortable working independently or within collaborative teams. Passionate about emerging data technologies and best practices. Qualifications & Experience Minimum Qualification: Degree in Computer Science, Data Science, Information Systems, or related field. Preferred Qualification: Honours or Master’s degree in a related discipline. Experience: 3 – 5 years of relevant experience in data engineering or analytics. Proven experience in SQL, Python, PySpark, and data pipeline development. Experience in using APIs for data integration. Exposure to cloud platforms (AWS or Azure) and data architecture principles. Experience with MS BI or Oracle Stack will be advantageous. Familiarity with machine learning frameworks is beneficial. Certifications in AWS, Azure, SQL, SAS, or Python will be advantageous. Soft Skills Strong communication and collaboration skills. Ability to manage multiple priorities and deliver under pressure. Curious and adaptable, with a growth mindset. Committed to high standards of quality, accuracy, and reliability. * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent * If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.

We are seeking a Data Engineer, with retail experience to join our team based in Cape Town. Initial 12-month contract, onsite. Key Responsibilities: Design, implement and maintain robust ETL/ELT data pipelines that constitute the data platform, enabling effective use of data across the organization. Develop and maintain scalable data models to support analytics & reporting. Continuous enhancements of data models and data warehouse to support analytics & reporting. Collaborate with cross-functional teams to translate business requirements into robust data solutions meeting customer expectations. Mentor junior members through training and guidance. Implement data quality, validation, and data monitoring mechanisms. Enforce data governance, security, and compliance best practices. Qualifications And Experience: Must have a relevant 3-year IT or related qualification. 5 years experience with Data pipeline design and development experience. Advanced SQL knowledge and working with RDBMS such as SQL Server, MySQL and PostgreSQL. Solid hands-on experience in designing and building dashboards in Pyramid Analytics or PowerBI. Advantageous – Experience in SQL Reporting Services (SSRS), Analysis Services (SSAS) as well as Integration Services (SSIS). Advantageous Experience in dbt, Azure Data Factory and cloud platforms. Experience conducting unit, integration and regression testing.

Data Engineer – Cape Town The Data Engineer will support the Digital Delivery Project by designing, developing, and maintaining data systems and digital engineering workflows to enable data-driven project delivery. Duties Design, develop, and maintain data structures and pipelines for data collection, transformation, storage, and integration across platforms. Set up, configure, and administer database-centered engineering software and data storage solutions (including SQL-based systems). Develop advanced digital engineering workflows and support intelligent drawing generation within database-driven design tools. Stay current with developments in digital engineering, especially within mineral processing. Participate in training for database-centered engineering design software and its integration within ADP’s Digital Transformation Project. Adhere to company and project procedures to ensure high-quality, consistent deliverables. Minimum Requirements Degree in Chemical, Mechatronic, Mechanical, Electrical or Electronic Engineering. 3 years’ post-graduate experience. Proven experience in data architecture, data integration, and software programming (APIs). Proficiency with object-oriented SQL databases and 2D CAD software (e.g. Revit, Autodesk Plant 3D, Bentley OpenPlant Modeller, Siemens COMOS, DesSoft, MicroStation, AutoCAD, SolidWorks). South African Citizen or Permanent Resident, based in Cape Town. Strong technical, analytical, and problem-solving skills. Able to work independently and deliver high-quality work within budget and schedule. Proficient in Microsoft Office (Word, Excel, Access, PowerPoint). Excellent communication, teamwork, and knowledge-sharing abilities. Innovative, practical, and committed to continuous learning and professional development. High levels of integrity, confidentiality, and professional ethics aligned with company values.

Location: Hybrid (Century City, Cape Town) Employment Type: Full-Time Industry: Data & Analytics | Consulting WatersEdge Solutions is partnering with a client with an exciting opportunity to work with a cutting-edge data science team at a leading player in the consulting industry. We’re on the lookout for creative, technically sharp Data Engineers ready to make a tangible impact by driving innovation within a fast-paced, data-rich environment. About the Role As a Data Engineer, you’ll be embedded within the client’s advanced data factory, collaborating closely with their data science team to build and optimise robust data pipelines and analytics infrastructure. This is a hybrid role based in Century City, Cape Town, offering you the flexibility to combine remote work with valuable on-site collaboration. This environment encourages creativity and fresh thinking – you’ll have the freedom to introduce new ideas, experiment with tools, and influence how data is engineered across the organisation. Key Responsibilities Design, build, and maintain scalable data pipelines and architectures Collaborate with data scientists to deliver integrated data solutions Leverage Hadoop to manage and process large datasets efficiently Utilise SQL and PowerBI for reporting, dashboards, and analytics delivery Work with a variety of modern data engineering tools and platforms Contribute to process improvements and advocate for engineering best practices What You’ll Bring Proven experience in a data engineering role Strong hands-on expertise with Hadoop (this is essential) Proficiency in SQL and PowerBI Exposure to a range of data engineering tools and platforms Solid communication and collaboration skills A proactive, innovative mindset with a passion for data Nice to Have Opportunity to work in a highly creative and collaborative data environment Hybrid setup offering both flexibility and in-person innovation Projects with real impact in a fast-moving sector Supportive culture where new ideas are welcomed and encouraged Company Culture Our client is more than a consultancy — they’re a global community of innovators, craftsmen, and change-makers. They bring a “stepping stone” mindset: your growth and theirs go hand in hand. They operate around five core values that drive everything they do: Pioneer Spirit, Care, Trust, Performance, and Independence. Pioneer Spirit — They encourage bold thinking and experimentation, valuing agility and the willingness to explore new paths. Care — They prioritise respect, diversity, and a supportive environment, balancing ambition with humanity. Trust — They believe in autonomy, open dialogue, and empowering people to own their ideas and decisions. Performance — Excellence matters. They push themselves to deliver real impact for clients while continuously improving. Independence — They strive to remain flexible, self-directed, and responsive — free to adapt in a changing world. In practice, this means you’ll be trusted from day one to contribute meaningfully, take initiative, and challenge the status quo. You’ll also find a culture that supports international mobility, where contributions across locations and backgrounds are respected. If you have not been contacted within 10 working days, please consider you application unsuccessful.