Skills
27 skills are associated with this occupation.
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Data engineer work is about building data architecture, pipelines and storage so large data sets can be processed, managed and used for analysis.
Data engineers design infrastructure for data processing, manage data warehouses, maintain pipelines and prepare reliable data sets for analysis and strategic use.
In job descriptions, look for cloud databases, data models, warehousing, data pipelines, unstructured data, database systems, data-processing applications and quantitative data management.
Data engineers build the technical routes that move data from source systems into usable storage. The work can include cloud database design, pipeline applications, warehouse structures and checks on data availability.
Useful strengths include data models, cloud technologies, data warehouses, database management systems, unstructured data, quantitative data handling, data-set creation and applications that process large data flows.
Salary context depends on data volume, production reliability, cloud responsibility, warehouse ownership, security exposure, pipeline complexity and whether the role supports analytics, research data or operational systems.
Career paths can move toward senior data engineer, analytics engineering, data architecture, cloud platform work, warehouse ownership, machine-learning platform support or technical leadership for data infrastructure.
Check whether vacancies mention pipelines, cloud databases, warehouses, data models, batch or streaming processing, monitoring and data consumers. Those details show the engineering depth of the role.
This guide is editorial career context. It is not official labour-market statistics or role-specific salary data.
27 skills are associated with this occupation.
0 skills selected
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Systems analysts (2511)
| ESCO URI | http://data.europa.eu/esco/occupation/2079755f-d809-49e6-8037-4de6180e54c0 |
|---|---|
| ESCO code | 2511.20 |
| ISCO group | 2511 |
| Concept type | Occupation |