DATA ENGINEER

QUALIFICATIONS & EXPERIENCE A relevant tertiary qualification in one of the following or a related field: Computer Science / Information Systems / Information Technology / Data Engineering / Software Engineering Relevant industry certifications in data engineering, cloud platforms or database technologies would be advantageous. Experience Approximately 5-7 years' relevant experience in data engineering, database development, systems integration or a similar technical data role. At least two of these years should include systems or data integration, or the exchange of data between internal and external systems. Experience developing and maintaining ETL/ELT pipelines. Proven experience in developing data projects using Python. Strong practical experience working with SQL and relational databases. Experience with data modelling and data warehouse concepts. Experience working in a BI, analytics or reporting environment. Experience designing, building or consuming API-based integrations (REST/JSON), including authentication, pagination, error handling, retry and idempotency behaviour. Experience with file-based and batch integration to and from external parties, including scheduled transfers, secure file transfer (SFTP), and file validation, quarantine and reconciliation. Experience publishing or consuming versioned, governed datasets or data products for downstream and third-party consumers, including schema change management and backward compatibility. Experience delivering data or integration artefacts through source control (Git) and promoting them across development, test and production environments. Experience monitoring and supporting production integrations, including failure detection, error triage, reprocessing or replay of failed records, and root-cause resolution. Experience in a multi-site Retail, FMCG, Wholesale, Logistics or Supply Chain environment would be advantageous. Experience supporting system implementations or business-transformation projects would be advantageous. Experience with event- or message-driven integration (webhooks, publish/subscribe or streaming platforms such as Kafka), including at-least-once delivery, idempotency, replay and dead-letter handling, would be advantageous. Experience with an integration or middleware runtime — for example Apache Camel, Azure Integration Services, Boomi, MuleSoft or a comparable iPaaS/ESB — would be advantageous. Experience with master data management, data cataloguing or business glossary tooling would be advantageous. Experience exchanging data with external trading partners, suppliers or service providers under defined data-sharing, security and privacy controls would be advantageous. TECHNICAL SKILLS & KNOWLEDGE Essential Advanced SQL (MS, Postgres) ETL/ELT development Data modelling Data validation and quality controls Python/JavaScript REST API design and consumption (JSON payloads, authentication, pagination, error handling, retries and idempotency) DevOps or automated deployment practices — including environment promotion across development, test and production Microsoft 365 & Co-Pilot Data integration patterns: batch, file-based, API-based and event-driven integration; incremental loads and change data capture; source-to-target reconciliation. API and data-contract concepts: interface specifications (OpenAPI/Swagger), schema definition, versioning and backward compatibility. Secure file transfer (SFTP) and structured file handling (CSV, fixed-width, JSON, XML). Credential, key and secret management, and least-privilege access to data and integration endpoints. Integration and pipeline observability: logging, monitoring, alerting, error handling, retry, dead-letter and replay. Master data management, data cataloguing and metadata concepts, including business glossaries, data dictionaries and lineage. Advantageous Microsoft Foundry Microsoft Fabric Pascal Script OData 4.01 and other standards-based data-access protocols Containerisation and orchestration fundamentals (Docker, Kubernetes) Distributed SQL query engines and lakehouse/object-storage concepts (for example Trino, S3-compatible storage, Parquet/Avro) Observability tooling and standards (for example OpenTelemetry) EDI and trading-partner exchange formats used in Retail, FMCG and Logistics Ontology, taxonomy and semantic-layer modelling concepts CORE COMPETENCIES Analytical Thinking Able to understand complex data structures, identify relationships and systematically resolve data problems. Problem Solving Approaches technical and data-related challenges logically and focuses on identifying sustainable solutions rather than temporary fixes. Attention to Detail Maintains a high level of accuracy when working with large datasets, integrations and business-critical information. Business Understanding Develops an understanding of how the business operates and ensures technical data solutions support practical business requirements. Collaboration Works effectively across technical and non-technical teams and is able to translate business requirements into appropriate data solutions. Ownership Takes accountability for the reliability, quality and performance of assigned data solutions. Continuous Learning Keeps abreast of developments in data engineering, cloud technology, automation and analytics. Communication Able to explain technical concepts clearly to stakeholders with different levels of technical knowledge. Futuristic and Open Mindset Ability to rapidly change and pivot HOW TO APPLY If you are passionate about this position and possess the skills and experience to excel in this role, we invite you to join our team. Interested candidates should submit their application through this application portal. We look forward to reviewing your application and potentially welcoming you to the team. CLOSING DATE 28 SEPTEMBER 2026 (28/09/2026) Join us in shaping the future of Econofoods! By submitting your application, you are giving Econofoods implicit consent to the storage and processing of your personal information. Econofoods is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Should you not receive a response within 4 weeks of your application, please consider your application to be unsuccessful.