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Johannesburg, Gauteng, South Africa
Hybrid
At Iress, we make things happen
At Iress, our purpose is opening the world to financial opportunity by connecting people to the markets, systems and infrastructure that support long-term economic wellbeing at scale. We connect deeply with clients to understand what really matters, solve problems together across teams and disciplines, and own and deliver the technology that sits behind critical financial decisions. By simplifying the complex, we help professionals, institutions and the people they serve make confident financial choices and move their futures forward.
We offer flexible ways of working and benefits that support people at every life stage. Our employee benefits are some of the best in the industry. It means we work smarter, happier, and healthier with long weekends, flexible ways of working, generous parental leave, opportunities to participate in our local community initiatives and a connected team culture.
Different perspectives, experiences and backgrounds make our teams stronger and our products better. Our people have different backgrounds, skills and beliefs and everyone’s uniqueness is valued and celebrated. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear
As a Senior Data Engineer at Iress, you will design, develop and maintain scalable, secure and high-performing data processing solutions that support critical financial market operations and business outcomes. You will play a key role in ensuring the integrity, reliability and availability of data systems that underpin client and business decision-making.
You will collaborate across engineering, infrastructure, security and product teams to deliver compliant, resilient and maintainable solutions in a highly regulated environment. Success in this role means delivering high-quality data platforms and pipelines that support operational excellence, improve system performance, and enable rapid, reliable delivery of business value.
Some of the amazing things you’ll be involved in
You design and develop scalable data processing solutions that support financial market and business applications.
You build and maintain secure, reliable and high-performing data pipelines and platforms that meet operational and regulatory requirements.
You ensure the accuracy, integrity and availability of financial and operational data across systems and environments.
You collaborate with product, engineering, infrastructure, security and SRE teams to deliver resilient and compliant solutions.
You optimise data processing performance, scalability and operational stability across cloud-based environments.
You contribute to architectural decisions and technical strategy with a focus on maintainability, observability and long-term scalability.
You implement testing, monitoring and quality assurance practices to ensure system reliability and data quality.
You troubleshoot and resolve production issues, supporting operational continuity and minimising service disruption.
You document technical designs, deployment processes, architectures and operational procedures.
You mentor and support other engineers through technical guidance, collaboration and knowledge sharing.
You contribute to continuous improvement practices, modern engineering standards and iterative delivery approaches.
Experience and Knowledge
5+ years’ experience in software engineering, data engineering or a similar technical role.
Strong experience designing, building and maintaining scalable data pipelines and distributed data processing systems.
Experience working within financial services, trading environments or other regulated industries will be highly regarded.
Strong knowledge of data engineering principles, ETL processes, data modelling and data warehousing concepts.
Experience with cloud-based platforms and modern data engineering tooling.
Experience working with high-availability, secure and compliance-focused systems.
Strong analytical, troubleshooting and problem-solving capability.
Experience working in agile or iterative software delivery environments.
Understanding of data governance, security, auditability and operational resilience practices.
Technical Knowledge
Programming languages such as Python, Java or Scala.
Data processing frameworks such as Apache Spark, Apache Flink or Apache Beam.
Relational databases including PostgreSQL, MySQL or MS SQL.
NoSQL technologies such as MongoDB or Cassandra.
Data warehousing and platform technologies including Databricks, Snowflake or BigQuery.
Cloud platforms, preferably AWS.
CI/CD and infrastructure tooling including GitHub, Buildkite, Terraform and Artifactory.
Qualifications and certifications
Bachelor’s degree in Computer Science, Engineering or a related discipline.
Relevant cloud, engineering or financial market certifications would be advantageous.
Professional Skills
Data engineering and scalable pipeline development
Software development and solution architecture
Data governance, security and compliance
Performance optimisation and operational resilience
Incident management and technical troubleshooting
Technical collaboration, mentorship and continuous improvement
Behavioural capabilities
Builds strong collaborative relationships across technical and business teams.
Communicates technical concepts clearly to a variety of stakeholders.
Demonstrates accountability and ownership for delivery outcomes and system quality.
Approaches complex problems analytically and delivers practical solutions.
Adapts positively to changing priorities, technologies and business requirements.
Continuously learns and contributes to improving engineering standards and practices.
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