Data Engineer
ZinkworksIreland3 days ago
Full-timeInformation Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full 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
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.
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.
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.
- 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.
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.
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.
Key Skills
Ranked by relevanceReady to apply?
Join Zinkworks and take your career to the next level!
Application takes less than 5 minutes