Junior Data Engineer

• Drive efficiency and resilience by mapping data flows between systems and workflows across the organisation
• Ensure standardisation by following design patterns aligned with global and local data governance requirements
• Support real-time internal and customer-facing actions by developing event-based streaming data pipelines
• Enable rapid, data-driven business decisions through efficient and scalable data ingestion solutions
• Connect disparate datasets from multiple systems to create high-value data products
• Monitor and track relevant SLIs and SLOs
• Handle, mitigate and learn from incidents to improve overall system health
• Ensure resilience of data processes by proactively monitoring performance, identifying bottlenecks, risks and failure points
• Write readable and reusable code using standard patterns and libraries
• Continuously develop data engineering skills and stay up to date with relevant technologies
• Implement and maintain data processing services and storage systems in line with the Data Governance Framework

• Stakeholders: Data Engineering Manager / Project Manager, Data Engineers
• Type: Information sharing, cooperation
• Frequency: Frequent, continuous

• Bachelor's degree in Computer Science or a related field
• Master's degree in Computer Science or a related field

• 1-3 years of relevant experience (basic job knowledge level)

• Entry-level exposure to data engineering or related roles using server-side languages such as Scala, Java, Python or Perl
• Entry-level experience with large-scale data pipelines and transformations using technologies such as Hadoop, Cassandra, Kafka, Spark, HBase and MySQL
• Basic understanding of data modelling methodologies (e.g. TOGAF)
• Basic knowledge of data quality requirements and implementation methods
• Excellent English communication skills, written and verbal
  

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