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BI Developer

Moburst

Johannesburg

On-site

ZAR 500 000 - 700 000

Full time

Yesterday
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Job summary

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.

Qualifications

  • 3+ years of hands-on experience in BI Development or Data Engineering.
  • Proficiency in SQL for complex queries and optimization.
  • Strong experience with data modeling, especially using dbt and Snowflake.

Responsibilities

  • Build, maintain, and optimize data transformation layers using dbt and Snowflake.
  • Design and develop intuitive dashboards to visualize ROI and performance.
  • Execute SQL queries for technical analysis and anomaly detection.

Skills

Advanced SQL
Data Modeling
Dashboard Development
Visualization (ThoughtSpot, Tableau, PowerBI)
English Proficiency
Attention to Detail

Tools

dbt
Snowflake
ThoughtSpot
Tableau
Job description

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.

Responsibilities
  • 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.

Requirements
  • Experience: 3+ years of hands‑on experience in BI Development or Data Engineering.

  • Mandatory Technical Skills:

    • Advanced SQL: Ability to write complex window functions, joins, and optimize query performance is non‑negotiable.
    • Data Modeling: Strong experience with dbt and Snowflake is required. You must understand how to model data specifically for consumption.
    • Visualization: Proficiency in ThoughtSpot (Huge Advantage), Tableau, or PowerBI.
  • Soft Skills:

    • English Proficiency: Excellent written and verbal English is required for complex technical documentation and remote collaboration.
    • Execution Oriented: You prefer building and coding over meetings. You take ownership of tasks and deliver on time.
    • Attention to Detail: You spot errors in data before they reach the dashboard.
  • Preferred: Deep understanding of the AdTech ecosystem (Google Ads, FB Ads, Appsflyer, etc.).

  • Bonus Points: Experience writing Python scripts for data automation.

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