🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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 the platform meets analytical and modelling needs effectively Ensure data integrity, privacy, and compliance by implementing automated data quality checks, lineage Document and maintain technical architecture, data flows, integration patterns and engineering standards using version-controlled repositories and collaborative tools to support maintainability, onboarding, and cross-functional transparency WHO YOU ARE? You have advanced knowledge of AWS, Databricks, and Apache Spark. You have expertise in Medallion Architecture, having implemented Bronze, Silver, and Gold layers. You adapt with confidence in a fast-paced, evolving environment. You mentor business users, data professionals, and the data engineering team. You deliver work using agile principles and collaboration tools such as GitHub, JIRA, Confluence, and Miro. Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale. Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.