Job Opportunities API

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be. Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health? There’s only one question left: are you ready to make healthcare smarter, and actually mean it? We are seeking a  S enior  D ata  E ngineer to  lead the  develop ment   of  a modern, scalable, and secure data platform that supports enterprise-wide analytics, machine learning, and AI initiatives. The Senior Data Engineer will  be responsible for   design ing , build ing ,  maintain ing  and optimis ing  robust data pipelines and enabling governed data sharing with external partners.  This  role will work closely with data analysts, data scientists, and AI engineers to ensure the  scalable, secure, and high-performance data platforms that power analytics, AI,  machine  learning   and operational excellence   required by  business  teams . You will build data assets to provide robust,  compliant  and agile solutions to support in healthcare, retail, and insurance innovations.   WHAT WE'RE LOOKING FOR? Minimum   Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field Certification in cloud platform: AWS, Azure Data Engineer (DP-203/DP-700), or Databricks Certified Data Engineer 6+ years of experience in data engineering or software development   3+ years of hands-on experience with Databricks Intelligence Platform and implementing Medallion Architecture.   Strong  proficiency in Python, SQL, Spark, and cloud-native data services (e.g., Azure Data Lake, AWS S3, GCP BigQuery) Familiarity with cloud-native data integration tools (e.g. SAP Datasphere, Snowflake Airflow) Experience in delivery and collaboration tools: GitHub, JIRA, Confluence and MIRO   Proven experience in developing data platforms that support data science, data analytics and AI workloads Extensive experience in ETL development and Data Pipelines with CI/CD, as well as data governance, and data quality frameworks Solid understanding of data science workflows, model lifecycle, and AI concepts   Preferred Qualifications   Certification in Machine Learning or AI (e.g., Azure AI Engineer Associate) Experience in healthcare, retail, or insurance data ecosystems   Working knowledge of SAP BW, S4 HANA, CRM, ERP, and Data Business Cloud   WHAT YOU WILL BE DOING? Lead the development and maintenance of a scalable and secure data platform using the Medallion Architecture to support analytics, data science, and AI workloads with high performance and reliability Build robust, reusable, and modular data pipelines leveraging Python, SQL, Spark, and cloud-native services to ensure consistent, timely, and accurate data delivery across the organisation Integrate diverse data sources and systems using scalable ingestion frameworks , defined patterns and APIs to unify enterprise data and reduce silos Collaborate with data analysts, data scientists, AI engineers  and data quality anal ysts through regular engagement, feedback sessions, and shared development environments to ensure