Data Engineer at Praesignis

Role Overview:

• A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and platforms that enable reliable data ingestion, storage, processing, and access.
• The role focuses on transforming raw data into high-quality, trusted datasets that support analytics, reporting, and data science initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines (batch and/or streaming).
• Build and optimise data integration processes from multiple data sources.
• Develop and manage data models to support analytics and reporting.
• Ensure data quality, accuracy, and reliability through validation and monitoring.
• Implement and maintain ETL/ELT workflows.
• Optimise data storage and query performance.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Maintain documentation for data pipelines, schemas, and processes.
• Enforce data governance, security, and compliance standards.
• Troubleshoot and resolve data-related issues in production environments.
• Support platform scalability, resilience, and cost optimisation.

Required Skills & Experience:

Technical Skills:

• Strong proficiency in SQL
• Experience with Python, Scala, or Java
• Hands-on experience with data warehouses (e.g. Snowflake, BigQuery, Redshift, Synapse)
• Experience with ETL/ELT tools (e.g. Airflow, dbt, Azure Data Factory, Informatica)
• Knowledge of cloud platforms (Azure, AWS, or GCP)
• Understanding of data modelling (star schema, snowflake schema, dimensional modelling)
• Experience with version control (Git)
• Familiarity with CI/CD pipelines for data workloads

Data & Platform Knowledge:

• Relational and NoSQL databases
• File-based data formats (Parquet, Avro, JSON, CSV)
• Data streaming concepts (Kafka, Event Hubs, Kinesis – advantageous)
• Performance tuning and query optimisation

Closing Date 07 April 2026