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Data Engineer - Graph Databases

Zinkworks
CompanyZinkworks
CategoryUncategorised
Location
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted18 Feb 2026
Last verified30 Jul 2026
SourceEmployer career page (teamtailor)
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Description
About Zinkworks Zinkworks partners with leading Telecommunications and Financial Services organizations to modernize legacy systems, migrate mission-critical platforms to the cloud, and engineer AI-driven automation. From OSS transformation to rApp development and network intelligence, our teams simplify complexity and turn it into competitive advantage. Based in Ireland and operating across the EU, UK, and US, Zinkworks combines deep domain expertise with delivery excellence to help clients modernize faster and operate smarter. 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. Desirable Technical Skills & Experience: 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. Professional Attributes 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. Inclusion & Diversity at Zinkworks At Zinkworks, we are deeply committed to fostering a culture of diversity, inclusion, and belonging. We believe that our strength lies in the unique backgrounds, perspectives, and experiences of our team members. By embracing an inclusive environment, we empower innovation and collaboration across all levels of our organisation. Based in Ireland, we are proud to support and engage with our local communities through meaningful initiatives that promote equity and opportunity. Our commitment extends beyond the workplace, as we actively contribute to creating a more inclusive and connected society for all.
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