Job Description
Responsibilities:
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Own and manage our entire GCP-based Data Platform, including core services like BigQuery, Cloud Functions, Composer, Dataflow, and Pub/Sub.
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Architect, build, and manage robust ETL/ELT pipelines to ingest structured and unstructured data from dozens of internal and external sources.
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Optimize the cost, speed, and performance of data storage, pipelines, and compute resources.
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Implement and enforce best practices across data validation, deduplication, enrichment, security, and governance.
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Create and enforce technical documentation, processes, and Standard Operating Procedures (SOPs) across the data team.
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Lead root-cause analysis of pipeline failures and ensure high data accuracy and uptime, including being available for after-hours escalations during mission-critical incidents.
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Mentor and coach data engineers and analysts; oversee technical delivery, quality, and team growth.
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Collaborate with AI, analytics, marketing, and operations teams to design high-impact data products that directly drive decision-making and revenue.
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Build internal tools and dashboards for reporting and marketing analytics teams.
Minimum Requirements:
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5+ years of experience as a Data Engineer or in a Data Platform Leadership role.
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Advanced proficiency in Google Cloud Platform (GCP), specifically: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer.
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Strong coding skills in Python (with experience in SQLAlchemy or similar ORM), SQL, and demonstrable expertise in either Java or PHP.
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Extensive experience with data modelling, schema design, and performance tuning of large datasets.
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Proven ability to manage complex data workflows, including edge-case debugging and strict data security protocols.
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Comfortable with cloud cost optimisation and designing highly scalable, production-ready architecture.
Bonus:
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Experience in lead generation, digital marketing, or performance media.
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Proven track record of building or scaling a proprietary DMP (Data Management Platform) or CDP (Customer Data Platform) from scratch.
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Familiarity with marketing data integrations like Salesforce, Meta Conversions API, or Google Analytics.
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A GCP Professional Data Engineer Certification.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to .za
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