Senior Data Engineer

2 weeks ago

Johannesburg, South Africa IDBASE SOFTWARE Full time

About the RoleWe are seeking a highly skilled Senior Data Engineer to join our dynamic data team. You will be responsible for designing, building, and maintaining robust and scalable data pipelines and architectures that enable analytics and business intelligence at enterprise scale. This role is ideal for professionals who thrive in complex data environments, value clean, efficient, and secure data engineering practices, and enjoy collaborating with cross-functional teams to deliver high-quality, reliable data solutions. Key Responsibilities Data Architecture & Pipeline DevelopmentDesign, develop, and maintain scalable data pipelines and ETL/ELT processesImplement data modeling and architecture solutions including Data Vault, dimensional modeling, and normalized structuresOptimize data storage and retrieval to support analytics, reporting, and machine learning workloadsIntegrate structured and unstructured data from multiple sources, including cloud and on-premises systemsDevelop and maintain data warehouses, data lakes, and cloud-native data platforms Cloud & Big Data EngineeringWork with cloud platforms such as AWS, Azure, or GCP for data storage, processing, and orchestrationImplement and manage data processing frameworks such as Spark, Databricks, or HadoopDevelop scalable, automated, and reliable batch and real-time data workflowsEnsure data pipelines meet performance, security, and compliance standards Collaboration & Process ImprovementCollaborate with data analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver solutionsMentor junior and intermediate data engineers, promoting best practices and code quality standardsParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectivesContinuously research and recommend new tools, technologies, and approaches to improve data engineering efficiency, reliability, and scalability Requirements & QualificationsMust-Have Skills:6+ years of professional experience in data engineering or software engineering with a focus on dataStrong expertise in SQL, relational databases (PostgreSQL, MSSQL, MySQL), and NoSQL databases (MongoDB, Cassandra, DynamoDB)Experience with Data Vault modeling and implementationHands-on experience with ETL/ELT tools and processesProficiency in programming/scripting languages such as Python, Scala, or JavaExperience building data pipelines and architectures in cloud platforms (AWS, Azure, GCP)Strong understanding of data warehousing, data lakes, and cloud-native storage solutionsExperience with CI/CD for data pipelines and automation of data workflowsHighly Desirable Skills:Experience with big data frameworks: Spark, Hadoop, KafkaFamiliarity with orchestration tools such as Airflow, Prefect, or Azure Data FactoryKnowledge of machine learning pipelines and integrating data for analyticsUnderstanding of data governance, security, and compliance best practicesExposure to containerization (Docker, Kubernetes) in data workloadsStrong communication skills to present complex data concepts to technical and business stakeholders EducationBachelor’s degree, higher certificate, or diploma in Data Engineering, Computer Science, Information Systems, or a related field Additional InformationContract Duration: 12 Months (with possibility of renewal)Salary: NegotiableLocation Options: Johannesburg / Cape Town / RemoteMust be located in South Africa or have a valid work permit for South Africa

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