SENIOR DATA ENGINEER â 12 MONTH CONTRACT, R900PH â Build enterprise data pipelines and trading integrations for one of South Africaâs leading investment managers

Job Description

Johannesburg R900PH 12-month Contract

This is an excellent opportunity for a Data Engineer to design build and optimize large-scale data pipelines and cloud-based data platforms that underpin investment decision-making risk management and regulatory reporting

COMPANY

This company is one of South Africas largest investment managers responsible for managing more than R600 billion in assets across both institutional and retail clients. Their focus is on delivering long-term sustainable returns through innovation discipline and a client-first approach. With a strong presence locally and across key African markets they are investing heavily in modern data platforms and engineering capabilities to strengthen their trading risk and analytics functions.

THE ROLE

As a Data Engineer you will be responsible for building and maintaining the data ecosystem that supports trading applications. Your focus will be on designing ETL / ELT pipelines that ingest data from multiple trading systems (such as Alchemy Murex and market data feeds) into Snowflake and enterprise data lakes ensuring accuracy performance and scalability. Youll work on API-led integrations (leveraging MuleSoft and custom Python / Java services) to enable seamless data flow between applications while embedding governance and security controls required in a regulated financial environment.

• Design build and optimize data pipelines for ingestion transformation and delivery of financial datasets.
• Model and manage Snowflake data warehouses and cloud-based data lakes.
• Develop APIs and integration solutions for downstream systems risk engines and reporting platforms.
• Monitor and optimize pipeline performance to handle large complex data volumes for valuations and risk reporting.
• Enforce data governance lineage and security policies including data masking and access controls.
• Collaborate with business stakeholders analysts and reporting teams to ensure data meets evolving business and regulatory requirements.

THE REQUIREMENTS

At least 5 years experience in Data Engineering (financial services experience highly advantageous).

Strong SQL skills with both relational and NoSQL databases.

Expertise in ETL / ELT pipeline design using tools such as Airflow Talend or custom scripting.

Proficiency in Python Java or Scala for building integrations and transformations.

Experience with Snowflake or other cloud data warehouses (AWS Redshift BigQuery).

Solid knowledge of data modeling data lakes and dimensional warehousing methodologies.

Exposure to big data frameworks such as Spark or Hadoop.

Familiarity with MuleSoft or other API integration platforms.

Required Experience :

Manager

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1