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A leading digital agency in Johannesburg is seeking a skilled BI Developer to focus on building data pipelines and developing dashboards that visualize campaign performance. The position requires over 3 years of experience in BI Development or Data Engineering, with expertise in SQL, dbt, and Snowflake. Candidates should excel in designing intuitive dashboards and executing complex analyses. This role offers an opportunity to work in a dynamic environment and contribute to impactful projects.
Moburst is a full‑service mobile‑first digital agency that propels companies into category leaders through AI‑powered marketing. Our methodology is driven by a proprietary AI program, with dedicated experts embedded in every department to pioneer intelligent solutions that deliver unparalleled client growth.
Trusted by global leaders from startups to enterprises like Google, Uber, Samsung, and Reddit, we deliver end‑to‑end results across the full marketing stack. Our expertise spans data‑driven strategy, full‑funnel growth, award‑winning creative, digital transformation with dev teams, intelligent media planning and buying execution and everything in between.
We’re looking for a talented BI Developer to join our team!
You will serve as the primary technical execution lead for our BI infrastructure. This is a highly hands‑on role focused on building robust data models, maintaining our Snowflake/DBT pipelines, and creating insightful dashboards in ThoughtSpot. You will take high‑level requirements from the Head of Data and turn them into production‑ready data assets.
Data Pipeline Execution: Build, maintain, and optimize data transformation layers using dbt and Snowflake. Ensure data flows efficiently from raw sources (MMPs, Ad Networks) to final models.
Dashboard Development: Design and develop complex, intuitive dashboards (ThoughtSpot/Tableau) that visualize campaign ROI and performance for internal and external stakeholders.
Ad‑Hoc Technical Analysis: Execute complex SQL queries to support the Head of Data in deep‑dive investigations and anomaly detection.
Quality Assurance (QA): Perform rigorous testing on your own code and data outputs to ensure 100% accuracy before deployment. You are the first line of defense against data discrepancies.
Documentation: Maintain clear documentation of data definitions, metrics, and logic to ensure the BI ecosystem remains organized and scalable.
Experience: 3+ years of hands‑on experience in BI Development or Data Engineering.
Mandatory Technical Skills:
Soft Skills:
Preferred: Deep understanding of the AdTech ecosystem (Google Ads, FB Ads, Appsflyer, etc.).
Bonus Points: Experience writing Python scripts for data automation.