Data Engineer

The Talent:

• Possesses aDegree in Computer Science, Information Systems, or related field.
• Has at least1-2 years of experiencein software or data engineering.
• Strong programming skills inPythonandSQL.
• Hands-on experience inbuilding or maintaining data pipelines(batch or real-time).
• Exposure todata platformssuch asDatabricks,Snowflake, orCloudera.
• Familiar withcloud environments(AWS, Azure, or GCP).
• Understanding ofdata security, data quality, and data governancepractices.
• Experience withdata visualization toolssuch asTableau,MicroStrategy, orPower BIis a plus.
• A motivated team player who iscurious, proactive, and passionateabout leveraging data for impact.
• Open toSoftware Engineerslooking to grow into adata engineeringcareer path.

The Job:

• Design, build, and maintaindata pipelinesacross multiple environments and layers (from raw to consumption-ready data).
• Developdata infrastructure improvementsusing modern practices such asInfrastructure-as-Code (IaC)andDataOps.
• Implement and optimiseETL/ELT workflowsto ensure reliability, scalability, and performance.
• Collaborate withdata governance teamsto enforce data access, security, and quality controls.
• Develop and publishmaster and reference datafor cross-domain usage.
• Supportdata quality pipelines, monitoring and remediating issues with domain data owners.
• Conductproof-of-conceptswith modern data tools (e.g., dbt, Fivetran, Neo4j, Apache Atlas).
• Work closely with internal teams ondata models(e.g., Kimball, Data Vault 2.0) and domain-specific data solutions (HR, Finance, Product, etc.).
• Provide technical guidance onSpark,Databricks, and other data platform technologies.
• Ensure thesecurity and reliabilityof the agency's data platform and minimise data downtime for critical data products.