Senior Data Engineer

Data Engineer

Overview
The Data Engineering team is building a secure, resilient, and cost-effective data platform that empowers everyone in the business to be an analyst. This is an opportunity to shape best practices, influence the tech stack, and collaborate with a highly skilled team in a dynamic, growing environment.

Mission
Enable every team to make confident, data-driven decisions by simplifying processes, driving automation, and pragmatically adopting tools that enhance efficiency.

Key Responsibilities

• Design, implement, and maintain a Data Warehouse, including monitoring, alerting, and incident resolution.

• Administer tools and systems, ensuring security, access control, and performance.

• Partner with software engineering teams to track product performance.

• Collaborate with BI colleagues to deliver self-service datasets for key business

  areas.

• Promote automation through Infrastructure-as-Code and scripting.

• Maintain data quality, standardisation, documentation, and onboarding best practices.

• Lead ingestion of new data sources into the warehouse.

Tech Environment
Fivetran Snowflake dbt Tableau Airflow Python AWS (Fargate, S3, IAM, Secrets Manager, CloudWatch) Terraform CircleCI GitHub Docker Datadog Jira Confluence Slack Google Suite

Candidate Profile

• Proven experience as a Data Engineer, ideally with cloud data platforms.

• Strong understanding of data modelling, pipelines, and warehousing.

• Hands-on exposure to tools such as Snowflake, dbt, AWS, Airflow, Python, etc.

• Problem-solving mindset with curiosity and passion for scalable, automated solutions.

• Effective communicator and collaborator with internal stakeholders.

• Proactive, hands-on attitude with the ability to drive results in a small team.

• Able to commute to offices in Cape Town at least 3 days per week.

• Strong alignment with company values.

Nice to Have

• Experience in scaling consumer tech or marketplace businesses.