Cloud Data Engineer

3 days ago

Cape Town, Western Cape, South Africa Mindworx Consulting and Academy Full time

Role Overview

We are seeking a passionate and experienced
Data Engineer
who thrives on transforming raw data into powerful insights. You'll work primarily within the
Google Cloud Platform (GCP)
ecosystem, leveraging tools like
BigQuery, Dataproc, Kubernetes, and AI Hub
to design, build, and maintain scalable data solutions.

You should "dream in Python and speak SQL," with a strong desire to turn complex, messy data into meaningful stories and visual insights that empower strategic business decisions.

Key Responsibilities

  • Design, develop, and optimize
    large-scale data pipelines
    (ETL/ELT) using modern data tools and frameworks.
  • Build and maintain
    cloud-based data infrastructure
    within
    Google Cloud Platform
    .
  • Work with
    structured and unstructured data
    , ensuring quality, consistency, and governance.
  • Develop and deploy
    RESTful APIs
    for scalable data access.
  • Collaborate with data scientists, analysts, and business stakeholders to translate business needs into technical solutions.
  • Implement and maintain
    source control and CI/CD processes
    using Git.
  • Continuously monitor, optimize, and troubleshoot data workflows for performance and reliability.

Required Qualifications

  • Bachelor's degree
    in Computer Science, Software Engineering, Data Engineering, or related field (Honours minimum;
    Master's preferred
    ).
  • 5+ years
    professional experience in software or data engineering.
  • Strong proficiency in
    Python
    (data manipulation, API development, automation).
  • Advanced
    SQL
    skills and familiarity with
    NoSQL
    technologies.
  • Proven experience in
    large-scale ETL
    design and implementation.
  • Strong understanding of
    RESTful services
    and API architecture.
  • Hands-on experience with
    cloud environments
    —
    GCP preferred
    , but AWS/Azure acceptable.
  • Experience with
    source control systems (Git)
    .

Beneficial (Nice-to-Have) Skills

Exposure or experience with the following will be advantageous:

  • Airflow / Cloud Composer
    (Scheduling & Orchestration)
  • Kubernetes & Docker
    (Containerization)
  • BigQuery
    and
    Data Warehousing
    concepts
  • ElasticSearch
  • Data Governance
    frameworks and practices
  • Apache Beam / Cloud Dataflow
  • Apache Spark / Dataproc

What We Offer

  • A data-driven culture focused on innovation and collaboration.
  • Opportunities to work with the latest cloud and AI technologies.
  • A supportive environment for growth, learning, and experimentation.
  • Competitive compensation and flexible work arrangements.

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