Data Scientist Specialist

Afrizan People Intelligence; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading financial institution is seeking an experienced Data Engineer to transform raw data into actionable insights. Join a high-performing data team to support analytics, machine learning, and business intelligence initiatives. Ideal candidates will have extensive experience in data engineering, proficiency in SQL, Python, and cloud platforms, and a strong understanding of data governance.

Qualifications

• Minimum of 6 years of experience in data engineering or a related field.
• Proven ability to deliver end-to-end data solutions.
• Hands-on experience with cloud platforms and big data tools.

Responsibilities

• Build and maintain secure, scalable, and high-performance data infrastructure.
• Design and develop data pipelines for ingestion and transformation.
• Ensure clean and governed data flows into data lakes and warehouses.

Skills

SQL

Python

Java

GIS

Data Entry

Education

Relevant qualifications in Computer Science, Engineering, or similar fields

Tools

Azure

AWS

GCP

Hadoop

Spark

Kafka

Job description

Are you ready to engineer the data foundations of tomorrow and help drive a truly data-led organisation?

A dynamic and forward-thinking financial institution is seeking an experienced Data Engineer to play a pivotal role in transforming raw data into actionable insights. This is an exciting opportunity to join a high-performing data team and support mission-critical analytics, machine learning, and business intelligence initiatives.

Responsibilities:

1. Build and maintain secure, scalable, and high-performance data infrastructure across on-premise and cloud platforms (Azure, SAS, Hadoop, Ab Initio, Databricks, and more).
2. Design and develop data pipelines for ingestion, transformation, provisioning, streaming, and API integrations.
3. Ensure clean, consistent, and governed data flows into data lakes, data warehouses, and enterprise data marts.
4. Collaborate with cross-functional teams including data scientists, analysts, engineers, and modelers to deliver robust and usable data products.
5. Drive automation, monitoring, and performance tuning of pipelines and large-scale data systems.
6. Champion data quality, governance, and security in alignment with strategic data architecture goals.

Ideal candidates will have:

1. A minimum of 6 years of experience in data engineering or a related field.
2. Proven ability to work independently and deliver end-to-end data solutions.
3. Proficiency in SQL, Python, Java, or other relevant programming languages.
4. Hands-on experience with cloud platforms (Azure, AWS, GCP) and big data tools (Hadoop, Spark, Kafka).
5. Deep understanding of relational and NoSQL databases, data modeling, and API development.
6. Relevant qualifications in Computer Science, Engineering, or similar fields. Cloud, DevOps, or Data Engineering certifications are highly desirable.

Additional Information:

EE Disclaimer: All positions will be filled in accordance with the company's Employment Equity plan. We encourage people with disabilities to apply.

Application Unsuccessful Disclaimer: If you do not receive feedback within two weeks of your application, please consider it unsuccessful. Keep an eye on our website and other career sites for future opportunities.

Required Experience: Unclear Seniority

Key Skills: GIS, Computer Data Entry, Facilities Management, ADMA, Fleet, Key Account

Employment Type: Full-Time

Experience: years

Vacancy: 1

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