Data & analytics
The plumbing behind trustworthy numbers: pipelines, integrations, and a warehouse sized for the company you actually are.
Data engineering is the least visible work among the roles we cover and the reason the visible work holds up. Dashboards, forecasts, and models all stand on the same plumbing: pipelines that move data out of the ERP, the CRM, and the e-commerce platform, a warehouse or lakehouse sized for the company rather than for a conference talk, and quality checks that catch a broken feed before the board pack does. Where that layer is missing, every report is an argument and every model is a gamble.
The data engineers on Hellenic Talent have built and run platforms in senior industry roles and in the engineering practices of consultancies. They work on the stacks this market actually runs, SQL Server and Azure prominent among them, and they size their designs to a mid-market company rather than to what a global enterprise would buy.
What to test in the first conversation, whoever you end up hiring.
Woken by their own pipelines
Has run production pipelines and been woken by them, not only drawn the architecture.
Chooses the dull option
Builds with boring, proven components sized to the company, and can defend that choice.
Microsoft stack and local ERP
Knows the systems common in this market, from local ERP packages to SQL Server and Azure.
Handover built into the work
Treats documentation and handover as part of the build, not a courtesy.
Works with the number owners
Talks to finance and operations in their language, because they own the numbers being moved.
A short call is enough to understand the situation and tell you honestly whether the network has the right data engineer for it.
Engagements run remote, hybrid, or on-site, for clients in Greece, Cyprus, and the rest of the world.