Data Engineer

Role Overview

As a Data Engineer, you will help clients make data-driven decisions by collecting, processing, analysing, and visualising data. You’ll work on medium to large-scale projects across multiple industries, helping clients unlock the full potential of their data.

What You Will Do

Collect, process, and clean data from various sources. Design and implement data models, ETL pipelines, and automation workflows. Conduct in-depth data analysis and build predictive models to solve business challenges.

Why It Might Be a Fit

Strong knowledge of statistical analysis and data modelling. Prior experience handling marketing data. Proficiency in Python and SQL. Experience building ETL pipelines and transforming data from multiple sources.

Requirements

• At least 6 years of experience as a Data Engineer.
• Strong knowledge of statistical analysis and data modelling.
• Have prior experience handling marketing data.
• Proficiency in Python and SQL (and other relevant languages/tools).
• Experience building ETL pipelines and transforming data from multiple sources.
• Familiarity with BI tools such as Tableau / Looker / Google Data Studio.
• Strong problem-solving and communication skills.