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The Legends Agency
A specialist data consultancy is seeking a Data Engineer to design, build, and maintain secure data solutions for leading insurance clients. This role involves developing and optimizing data pipelines using Azure Databricks and managing Oracle databases. Successful candidates will have 3-5 years of data engineering experience and strong SQL skills. This position offers a collaborative remote-first culture with the opportunity to have a significant impact on business outcomes.
Job Description
Our client is a specialist data and technology consultancy, delivering innovative solutions that empower financial services businesses to make smarter, faster decisions.
With a strong focus on advanced analytics, AI integration, and cloud-first design, the team partners with leading insurers and financial institutions to drive transformation.
They offer a collaborative, remote-first culture where your expertise will directly impact business outcomes.
This contract role is key to designing, building, and maintaining high-quality, secure, and scalable data solutions for a leading insurance client.
You’ll work across modern data platforms and cloud environments, enabling accurate insights and supporting analytics and machine learning initiatives.
The role is initially a 12-month contract, with strong potential to extend based on performance and project needs.
Apply 35 years of experience as a Data Engineer to deliver robust, data solutions.
Develop, maintain, and optimize data pipelines using Azure Databricks.
Integrate and manage Oracle databases to ensure optimal security and performance.
Write and optimize SQL, applying strong data modeling principles.
Collaborate with cross-functional teams to ensure data quality, accessibility, and scalability.
Support machine learning and analytical initiatives in the insurance domain.
Monitor, troubleshoot, and enhance existing data infrastructure.
3 to 5 years of hands‑on Data Engineering experience.
Proven experience working with Oracle database environments.
Solid SQL and data modeling capabilities.
Experience in insurance or broader financial services is advantageous.
Strong problem‑solving mindset, with the ability to work independently in a remote‑first setup.
Collaborative team player with excellent communication skills.
Parktown, Gauteng
MJM Recruitment
Posted today
To lead the design, development, and governance of the company's enterprise data infrastructure, transitioning from the current SSIS‑based ETL environment to a modern, scalable, Azure‑based cloud data warehouse.
This role is strategic and collaborative, requiring close engagement with business leaders, BI developers, analysts, and IT teams to ensure data solutions are business‑aligned, governance‑compliant, and ready for advanced analytics.
As a senior member of the team, the role will mentor junior data engineers, influence architectural decisions, and champion best practices across the organisation.
Johannesburg, Gauteng
The Legends Agency
Posted 17 days ago
Remote (South Africa) | R18,000 - R25,000 per month depending on experience | 8am-5pm SAST
Our client is an international software development company, creator of Quintessence, a specialist data toolkit widely used by asset management firms in South Africa and now expanding into the UK.
Their mission is to transform investment research processes through smarter data integration and modelling.
The team is young, dynamic, and passionate about tackling complex data challenges while delivering customised solutions tailored to client needs.
As a Client Support Data Engineer, you will provide technical and analytical support to ensure client implementations of Quintessence run smoothly and meet SLA requirements.
You will work closely with both internal teams and clients, troubleshooting issues, managing data requirements, and building solutions that enhance reliability, efficiency, and usability.
This is a client‑facing technical role with significant opportunity to grow your expertise in financial data integration and analytics.
Johannesburg, Gauteng
Visi Select
Posted today
Location : Remote (supporting an international client)
Contract Duration : 6 Months (Immediate Start)
Compensation : R95,000 – R100,000 per month
We’re looking for an experienced AWS Data Engineer (Intermediate to Senior) to join our client's global team.
What you’ll do :
Collaborate with global, cross‑functional teams.
What we’re looking for : 5+ years’ experience as a Data Engineer (Intermediate–Senior).
Hands‑on expertise in AWS data services.
Strong SQL, data modelling, and pipeline management skills.
Familiarity with CI / CD, Git, and infrastructure‑as‑code.
Excellent collaboration and problem‑solving skills.
A 1L Realization (Pty) Ltd
Johannesburg, Gauteng
Posted 17 days ago
Bachelor of Science, Computer Science, Big Data, Database Administration or related fields.
Evidence of strong skills in Data pipeline building.
Bedfordview, Gauteng
R - R Y On Point HR & Talent Solutions
Posted today
The Data Engineer will be responsible for driving, designing and building scalable ETL systems for a big data warehouse to implement robust & trustworthy data to support high performing ML algorithms, predictive models and support real‑time data visualisation requirements across the organisation to enable self‑help analytics.
Systematic solution design of the ETL and data pipeline inline with business user specifications
Develop and implement ETL pipelines aligned to the approved solution design
Ensure data governance and data quality assurance standards are upheld
Deal with customers in a customer centric manner
Effective Self‑Management and Team work
Completed IT Related Degree
5-10 years' Experience and understanding in designing and developing data warehouses according to the Kimball methodology.
Adept at design and development of ETL processes.
SQL development experience, preferably SAS data studio and AWS
Must have Key Skills / Technologies :
Primary Technologies (outside SAP) :
AWS and Redshift
Data Source : SAP (ERP system)
Credit Modeling : SAS (most current models in production)
Python
The Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
You will also collaborate with other technical teams and business stakeholders to ensure our data management practices align with business goals and industry standards.
This position involves working effectively with the business units with the primary mandate of enabling them with insights and decision support capabilities to drive good quality business decisions.
As a Data Engineer, you will also be responsible for researching and implementing new technologies and methodologies to improve our data infrastructure and processes.
You will also be expected to mentor and coach junior team members and contribute to the development of our data engineering strategy and roadmap.
Operational Delivery :
Gathers business requirements, executes projects and derives business insights.
Collects data and builds fit for purpose dashboards and reports based on requirements.
Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices
Complete projects / tasks assigned or working with other staff (internal / external) and following up on assigned projects / tasks.
Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs.
Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security
Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems
Design and implement robust Extract Transform Load (ETL) frameworks and processes.
Design and implement robust data integration strategies and processes.
Develop and implement data management (architecture and 1 / 3 o integration) policies, procedures, and best practices Manage data engineering projects and ensure timely delivery of high‑quality results.
Develop and implement databases, data collection systems and enable data analytics.
Acquire and integrate data from different sources and enable integrated reporting.
Recruit, train, and mentor data engineering team members to promote growth and professional development.
A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.)
EDUCATION and / or EXPERIENCE :
4-7 years of experience in data engineering or a related field
Ability to perform complex data analysis and data deep dives
Experience in building large data repositories
Excellent visualization skills and data storytelling capability
Ab Initio experience of the ETL (GDE), Express
IT, Metadatahub Knowledge of cloud computing platforms (GCP, AZURE, AWS)
Strong knowledge of data management concepts and technologies, including data modelling, ETL, data warehousing, and data visualization
Knowledge of business processes, IT processes, data, and associated applications
Experience analyzing and breaking down problems and information using structured frameworks and methodologies.
Robust skills in documentation creation with a high attention to detail including planning and organization.
Ability to think analytically and conduct customer‑facing communications.
All appointments will be made in line with Access Bank’s Employment Equity plan.
The Bank supports the recruitment and advancement of individuals living with disabilities.
In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis.
The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
Employees who apply and do not hear from HR within 30 days of the closing date may assume that their application was not successful, and we thank you for applying.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.