Data Engineer (Analytics & Data Platform)

Network1

Job Location:

Cape Town - South Africa

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Ready to take ownership of a high-impact data transformation initiative Join a forward-thinking organisation where youll play a pivotal role in building a modern analytics platform that consolidates data from multiple business-critical systems into a single source of truth. This is an opportunity for a skilled Data Engineer to work on complex enterprise-scale challenges while leveraging cutting-edge Microsoft Fabric technologies to shape data-driven decision-making across the business.

Key Responsibilities

Design build and maintain scalable data pipelines and ingestion frameworks.
Integrate and consolidate data from multiple SaaS applications APIs and operational systems.
Develop and maintain Microsoft Fabric Lakehouse Warehouse Dataflow and Pipeline solutions.
Transform and model raw data into trusted reporting-ready datasets.
Build and optimise semantic models that power business-critical Power BI reporting.
Collaborate with stakeholders to define KPIs reporting requirements and analytics solutions.
Identify and resolve data quality reconciliation and consistency challenges.
Lead technical and architectural decision-making across complex data initiatives.
Monitor optimise and improve pipeline performance reliability and scalability.
Promote best practices in data governance modelling and analytics architecture.

Job Experience and Skills Required
Education:

Bachelors Degree in Computer Science Information Systems Engineering or a related field.
Relevant practical experience will also be considered.

Experience:

57 years experience in Data Engineering or Analytics Engineering roles.
Proven experience delivering production-grade solutions using Microsoft Fabric.
Strong background in data warehousing Lakehouse architectures and dimensional data modelling.
Experience integrating data from REST APIs SaaS platforms and operational systems.
Demonstrated ability to engage directly with business stakeholders and translate requirements into technical solutions.
Experience working independently in complex fast-moving environments.

Technical Skills:

Microsoft Fabric (Lakehouse Warehouse Dataflows Pipelines Semantic Models).
Advanced SQL development optimisation and performance tuning.
Python for data engineering automation and integrations.
Power BI and semantic modelling.
Data warehousing and analytics architecture.
REST API integrations and SaaS connectivity.
Git version control and CI/CD workflows.

Advantageous Skills:

Azure Data Factory Synapse Analytics or Databricks.
Data quality observability and reconciliation frameworks.
Experience with platforms such as Zendesk HubSpot Zoho Intercom or Aircall.
Exposure to dbt or other modern analytics engineering tools.

Apply now!

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Required Experience:

Key Responsibilities

Design build and maintain scalable data pipelines and ingestion frameworks.
Integrate and consolidate data from multiple SaaS applications APIs and operational systems.
Develop and maintain Microsoft Fabric Lakehouse Warehouse Dataflow and Pipeline solutions.
Transform and model raw data into trusted reporting-ready datasets.
Build and optimise semantic models that power business-critical Power BI reporting.
Collaborate with stakeholders to define KPIs reporting requirements and analytics solutions.
Identify and resolve data quality reconciliation and consistency challenges.
Lead technical and architectural decision-making across complex data initiatives.
Monitor optimise and improve pipeline performance reliability and scalability.
Promote best practices in data governance modelling and analytics architecture.

Job Experience and Skills Required
Education:

Bachelors Degree in Computer Science Information Systems Engineering or a related field.
Relevant practical experience will also be considered.

Experience:

57 years experience in Data Engineering or Analytics Engineering roles.
Proven experience delivering production-grade solutions using Microsoft Fabric.
Strong background in data warehousing Lakehouse architectures and dimensional data modelling.
Experience integrating data from REST APIs SaaS platforms and operational systems.
Demonstrated ability to engage directly with business stakeholders and translate requirements into technical solutions.
Experience working independently in complex fast-moving environments.

Technical Skills:

Microsoft Fabric (Lakehouse Warehouse Dataflows Pipelines Semantic Models).
Advanced SQL development optimisation and performance tuning.
Python for data engineering automation and integrations.
Power BI and semantic modelling.
Data warehousing and analytics architecture.
REST API integrations and SaaS connectivity.
Git version control and CI/CD workflows.

Advantageous Skills:

Azure Data Factory Synapse Analytics or Databricks.
Data quality observability and reconciliation frameworks.
Experience with platforms such as Zendesk HubSpot Zoho Intercom or Aircall.
Exposure to dbt or other modern analytics engineering tools.

Required Experience:

Apply Now

About Company

Network1

Network Recruitment specializes in talent solution services in the fields of IT, Finance, Engineering & Supply Chain. Visit our website for more info.

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