Data Engineer - Graph Databases
Indexed description
Required Technical Skills & Experience
- Strong proficiency in SQL and database development (relational + NoSQL).
- Experience with data engineering languages such as Python.
- Proven experience building ETL/ELT data pipelines using tools such as:
- GCP Dataflow, DataForm/dbt, BigQuery
- Azure Data Factory, Synapse, Databricks
- AWS Glue / Lambda
- Solid understanding of database design principles, including relational databases and star schema structures.
- Proven ability to work effectively with diverse data types, from structured datasets to semi-structured and unstructured sources.
- Strong data analysis skills, including profiling, assessing data quality, and identifying patterns to inform data modelling and pipeline design.
- Skilled in testing data pipelines, validating transformations, and ensuring data quality through automated and manual testing methods.
- Experience with Git, DevOps pipelines.
- Strong understanding of security, access control, and compliance standards.
- Experience working with graph databases (e.g. Google Spanner, Neo4j, Gremlin).
- Experience performing Data engineering on GCP.
- Familiarity with containerisation and orchestration (Docker, Kubernetes).
- Telecommunications industry experience.
- Experience with real‑time streaming and event-driven architectures.
- Experience with agent development and integrating data systems via frameworks like MCP.
- Strong analytical and problem‑solving skills.
- Keen eye for detail and quality.
- Collaborative, communicative, and comfortable working with technical and non-technical stakeholders.
- Proven ability to thrive in an agile, cross‑functional team environment, working closely with developers, business analysts, testers, and other engineers.
Zinkworks is a trusted partner to Telecoms and Financial Services organizations around the world. We help modernize legacy systems, move mission-critical systems into the cloud, and exploit the power of AI-driven automation. Our people thrive in technically complex environments where our commitment to quality and our expertise in software innovation and cutting-edge technologies helps our clients prepare for the future, accelerate growth and improve operational efficiency. We build long-lasting relationships with our customers to accompany them through their innovation journey.
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