Junior Analytics Engineer

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?

The Junior Analytics Engineer helps build the silver and gold layers the business runs on. The role delivers well-scoped models, tests and documentation in SQL on Databricks, guided by senior engineers, and learns the chapter's modelling standards. Gold is the product: everything built here is consumed by dashboards, analysts and applications.

WHAT WE'RE LOOKING FOR?

Minimum

Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Engineering or a related field, or equivalent practical experience.

1 to 3 years in data or analytics work, including internships and projects.

Strong SQL fundamentals: joins, aggregations and window functions.

Understanding of dimensional modelling concepts: facts, dimensions and star schemas.

Git basics: branch, commit, pull request. The Databricks Git UI counts.

Advantageous

Exposure to Databricks or another cloud data platform.

Exposure to a declarative transformation framework: Lakeflow Declarative Pipelines or dbt.

Python, for the pipeline edges SQL cannot express.

Exposure to AI-assisted development with coding agents: Claude Code, Codex or similar.

Retail data, ideally pharmacy retail. Healthcare or financial services also count.

WHAT YOU WILL BE DOING?

Develop well-scoped silver and gold models in SQL with Lakeflow Declarative Pipelines, under review, so that delivery grows without compromising standards.

Add expectations and data quality checks to assigned models so that failures are caught early.

Support reconciliation of Databricks outputs against SAP BW extracts during the migration.

Ship changes through Git pull requests and the chapter's CI/CD so that every change is reviewed and reversible.

Learn the estate, the modelling standards and the SAP source context through reviews and pairing so that scope grows quarter on quarter.

WHO YOU ARE?

Have a knowledge of how retail business processes turn into facts, dimensions and metrics; learning the SAP-to-Databricks estate.

Able to find the root cause of data problems and fixes them once, in the model.

Knows how to explains trade-offs to technical and business audiences.

Ability to delivers well-scoped tasks with guidance and asks early when blocked.

Manages own task list; no people or workstream management.

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.