Analytics Engineer: Trusted Data Products & Pipelines

Losika Consulting; Sandton; Hybrid; ZAR 600,000 - 800,000; Full time

Job summary

Losika Consulting is looking for an Intermediate Analytics Engineer in Johannesburg to build trusted data products that enable enterprise decision-making. This hybrid role involves collaborating with a high-performing data team to design scalable analytical solutions for a leading financial institution.

As an Analytics Engineer, you will work on large enterprise data platforms, turning raw data into trusted analytical assets that drive business intelligence initiatives.

The position requires strong SQL skills and experience with ETL/ELT processes, making it essential for a candidate eager to influence data governance and quality.

Qualifications

• 3–6 years' experience in Analytics Engineering, Data Engineering or Data Modelling.
• Experience building and maintaining ETL/ELT data pipelines.
• Ability to translate business requirements into technical data solutions.

Responsibilities

• Designing, building and maintaining scalable analytical data models.
• Developing reliable, reusable and well-documented data products.
• Optimising SQL queries and pipeline performance.

Skills

Strong SQL development skills

Data Profiling

ETL/ELT development

Experience designing analytical data models

Data Governance

Dimensional Modelling

Data Quality

Education

Degree in Computer Science

Tools

Azure Data Factory

Databricks

Synapse Analytics

APIs

Git

Job description

Losika Consulting is looking for an Intermediate Analytics Engineer in Johannesburg to build trusted data products that enable enterprise decision-making. This hybrid role involves collaborating with a high-performing data team to design scalable analytical solutions for a leading financial institution.

As an Analytics Engineer, you will work on large enterprise data platforms, turning raw data into trusted analytical assets that drive business intelligence initiatives.

The position requires strong SQL skills and experience with ETL/ELT processes, making it essential for a candidate eager to influence data governance and quality.