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Cape Town: Data Engineer posted by DataFin Recruitment

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Job Description

ENVIRONMENT:

A Cape Town Travel Tech company that focuses on the global supply and revenue optimisation of travel ancillary products and services is looking for a hands-on Data Engineer to take ownership of- and optimise their entire data engineering function. As the sole data engineering expert in a small team, you’ll design, build, and maintain robust data pipelines that power business intelligence, advanced performance analytics, machine learning & other AI-driven initiatives using GCP and AWS. You are responsible for ensuring that their data quality and density is of the highest standard. The role demands creative problem-solving, courage to challenge the status quo, meticulous attention to detail, the ability to work independently and collaboratively, a delivery-mindset and a deep hunger to learn and contribute.

DUTIES:

  • Manage, monitor, and optimise BI and data infrastructure costs across GCP and related tools.
  • Lead end?to?end data pipeline development, including ingestion, transformation, and delivery of structured and unstructured data for reporting.
  • Design and maintain data models (semantic model) and warehousing solutions to ensure accuracy, reliability, and usability for downstream consumers.
  • Monitor pipeline performance, troubleshoot issues, and implement data quality controls, cleansing, and alerting processes
  • Partner with Product, BI, Engineering, and Operations teams to provide data for AI/ML initiatives, system monitoring, customer analytics, and performance dashboards.
  • Automate recurring data processes to improve efficiency and reduce manual work.
  • Document data processes and support knowledge sharing; contribute to technical roadmaps and overall data strategy.
  • Stay informed on fintech and data?engineering trends to proactively enhance the data ecosystem.
  • Own and resolve data?related issues, queries, and support requests.
  • Identify opportunities for new data insights and recommend strategies that add value for internal and external stakeholders.
  • Identify and operationalise new data sources that support analytics and system performance monitoring.
  • Manage Google Analytics and Google Tag Manager to ensure accurate event tracking and reporting for web applications.
  • Own and prioritise the data backlog, managing stakeholder expectations and distinguishing critical needs from nice?to?haves.
  • Act as backup for the BI Developer when required.
  • Contribute to future development and deployment of machine?learning models to support data?driven decision?making
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REQUIREMENTS:

Minimum Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Information Systems, or related field.?
  • 3+ years as Data Engineer or similar, owning full data pipelines in fintech or high-scale environments.?
  • Strong data warehousing, integration, quality, and governance practices.
  • Advanced SQL skills including performance optimisation and working with large datasets.
  • Proficient in Python, GCP (BigQuery, storage buckets), and CI/CD via GitHub.?
  • Experience ingesting from GTM/GA and AWS for analytics pipelines.?

Preferred:

  • PowerBI and Google Looker Studio for visualisations
  • Machine learning model integration/deployment.?
  • Familiar with Agile Scrum Framework, Jira and Confluence

ATTRIBUTES:

  • Excellent problem-solving skills and ability to work independently to meet project deadlines.
  • Thrives in a small team setting and takes ownership.
  • Self-motivated, with excellent communication skills for cross-functional collaboration.
  • Passionate about the power of data and its ability to unlock tangible business value.



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