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  • Posted: May 20, 2026
    Deadline: Jun 30, 2026
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  • Lesaka empowers underserviced Southern African consumers and merchants to fulfil their potential by delivering innovative financial services and other business services focussed on their specific needs.
    Read more about this company

     

    Senior Analytics Engineer

    What You’ll Be Doing

    Build Scalable Analytics

    • Develop and maintain dbt models across staging, intermediate, and marts
    • Structure transactional and financial data into clean, reusable datasets
    • Write and optimise SQL in BigQuery (performance + cost)
    • Work with Data Engineering on pipelines (e.g. Airflow)

    Enable Self-Service Analytics

    • Design datasets that are intuitive, well-documented, and easy to use
    • Reduce reliance on raw tables and ad hoc SQL
    • Ensure consistent, trusted data for Looker / BI consumption
    • Help teams answer questions independently without needing constant data support

    Own Data Quality & Metrics

    • Define and standardise core KPIs (single source of truth)
    • Implement data tests and validation frameworks
    • Ensure consistency across finance, product, and operational reporting

    Partner with the Business

    • Work closely with Product, Finance, Risk, and Operations teams
    • Translate business requirements into scalable data models
    • Support better decision-making through trusted data foundations

    Raise the Bar

    • Improve data modeling standards and best practices
    • Contribute to better documentation, lineage, and discoverability
    • Reduce manual reporting and fragmented logic across teams

    What You’ll Bring

    • 5+ years experience in Analytics Engineering, Data Engineering, or BI
    • Advanced SQL skills (complex transformations, optimisation)
    • Experience with dbt in production
    • Experience with BigQuery or modern cloud data warehouses
    • Strong data modeling skills (facts, dimensions, grain)

    Senior Expectations

    • Comfortable working cross-functionally with senior stakeholders
    • Able to take ambiguous problems and turn them into structured solutions
    • Strong ownership — you care about data quality, usability, and outcomes
    • Able to influence standards and best practices
    • Clear communicator — able to explain data simply and effectively

    Bonus if you have

    • Experience in fintech, payments, or financial services
    • Exposure to Airflow or orchestration tools
    • Experience working with large-scale transactional datasets
    • Interest in AI/ML use cases built on strong data foundations

    AI & LLMs (Nice to Have)

    • Exposure to modern AI/LLM tools such as Claude or similar large language models
    • Experience using LLMs to improve analytics workflows (e.g. SQL generation, documentation, data exploration)
    • Interest in how well-structured data models enable downstream AI/ML and LLM use cases
    • Familiarity with embedding analytics datasets into AI-driven applications or decision-support tools

    What We’re Looking For

    We’re not looking for someone to just move data.

    We’re looking for someone who:

    • Takes ownership
    • Is comfortable with ambiguity
    • Thinks about scalability and reuse
    • Builds for self-service, not dependency
    • Cares about data being trusted and widely used

    Closing Date 30 June 2026

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Lesaka Technologies on lesakatech.simplify.hr to apply

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