Data & Analytics Engineer
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Job Location:
Johannesburg - South Africa
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Reference: JHB002398-AV-1
Johannesburg (Office Based)
Permanent Position
Are you a data engineering specialist with a strong cloud-first mindset
You understand end-to-end data flow from extraction to analytics and know how to make it scalable reliable and intelligent
Are you passionate about automation performance tuning and working with Microsofts newest cloud technologies to deliver real-time business insight
Leader and Mentor that everyone looks up to
A forward-thinking organisation recognised for its commitment to next-generation data and analytics is seeking a Senior Data & Analytics Engineer with deep expertise in Azure Data Factory and cloud-based data architecture.
This role is ideal for someone who thrives in complex environments designing building and optimising data solutions that power real-time business intelligence through Microsoft Fabric Azure and Power BI.
Youll play a key role in shaping the companys modern data platform driving automation accuracy and insight across global operations.
Strong leader required - This is not a management position but a hands-on leadership role for someone who thrives on building and mentoring a team while designing high-performance data solutions that power global business intelligence.
Senior Data & Analytics Engineer Microsoft Fabric / Azure Data Factory Expert
Johannesburg (Office Based)
Permanent Position
Ideal Candidate Profile
Are you a data engineering specialist with a strong cloud-first mindset
You understand end-to-end data flow from extraction to analytics and know how to make it scalable reliable and intelligent
Are you passionate about automation performance tuning and working with Microsofts newest cloud technologies to deliver real-time business insight
Leader and Mentor that everyone looks up to
Join a Leader in Cloud-Driven Data Innovation
A forward-thinking organisation recognised for its commitment to next-generation data and analytics is seeking a Senior Data & Analytics Engineer with deep expertise in Azure Data Factory and cloud-based data architecture.
This role is ideal for someone who thrives in complex environments designing building and optimising data solutions that power real-time business intelligence through Microsoft Fabric Azure and Power BI.
Youll play a key role in shaping the companys modern data platform driving automation accuracy and insight across global operations.
Strong leader required - This is not a management position but a hands-on leadership role for someone who thrives on building and mentoring a team while designing high-performance data solutions that power global business intelligence.
Duties & Responsibilities
Minimum Requirements
- Bachelors Degree or equivalent experience.
- Microsoft Certifications:
- Azure Data Engineer Associate (Exam DP-203)
- Fabric Data Engineer Associate (Exam DP-700)
- 5 years experience in:
- MUST BE A CLOUD EXPERT!!
- Azure Data Factory SQL Server and Snowflake
- Microsoft Fabric (Data Factory OneLake Data Activator)
- Power BI Dashboards Dataflows and Paginated Reports
- Incremental data loading and CI/CD automation
- DevOps Git and GitHub
Main Responsibilities:
- Design and implement scalable data pipelines using Azure Data Factory SQL Server and Snowflake.
- Develop and maintain Power BI Dashboards Dataflows and Paginated Reports for live analytics and reporting.
- Leverage Microsoft Fabric technologies (Data Factory OneLake Data Activator) to unify and automate data workflows.
- Integrate data from Dynamics 365 Business Central and and other Platform to support finance and operations.
- Implement incremental data loading and advanced automation for performance and efficiency.
- Use AI tools for predictive analytics anomaly detection and enhanced data quality.
- Apply DevOps practices managing version control and deployment through Git and Azure DevOps.
- Collaborate across business and technical teams to translate requirements into robust data solutions.
Package & Remuneration
R800000 - R- Annually plus (Neg. based on exp.)(Medical Aid and Pension Fund)
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
