Data Engineer

About the role

Zinkworks is seeking a Data Engineer to join its fast‑growing team that supports leading telecommunications and financial services clients. You will design, build, and maintain robust data pipelines that enable cloud migration, AI‑driven automation, and real‑time analytics.

Key responsibilities

• Develop and optimise SQL queries and NoSQL solutions for diverse data sources.
• Design, implement and maintain ETL/ELT pipelines using GCP Dataflow, dbt, BigQuery, Azure Data Factory, Synapse, Databricks, AWS Glue and Lambda.
• Apply solid database design principles, including relational models and star‑schema structures.
• Profile data, assess quality, and create data models that support downstream analytics.
• Test and validate data pipelines through automated and manual methods to ensure high data quality.
• Collaborate with DevOps teams, using Git and CI/CD pipelines to deliver reliable code.
• Implement security, access‑control, and compliance standards across data platforms.

Required profile

• Strong analytical and problem‑solving abilities.
• Attention to detail and commitment to data quality.
• Excellent communication skills for both technical and non‑technical stakeholders.
• Experience thriving in agile, cross‑functional teams.

Required skills

• SQL (relational and NoSQL)
• Python
• GCP Dataflow, dbt, BigQuery
• Azure Data Factory, Azure Synapse
• Databricks
• AWS Glue, AWS Lambda
• Git and DevOps pipelines
• Docker, Kubernetes
• Graph databases (Google Spanner, Neo4j, Gremlin)
• Real‑time streaming and event‑driven architectures