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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.
This occupation may occur in several kinds of economic activity. Here are some examples and other occupations that may be found in the same areas.
This is one example. Other occupations in this activity include data analyst, artificial intelligence engineer and data scientist.
Explore this activityThis occupation may also occur in this activity. Other occupations there include data analyst, artificial intelligence engineer and data scientist.
Explore this activityThese examples offer an overview but do not show every economic activity where the occupation may occur.
The selection is based on how occupations are connected to economic activities in ESCO and NACE. Only a few examples are shown to make the information easier to use. The occupations were selected because they are close in occupation area and important skills. The examples are not a ranking. They do not show where most people work, where demand is highest, or which occupation is best suited to a particular person.
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Economic activities linked to this occupation.
62.1Computer programming activities62.2Computer consultancy and computer facilities management activitiesSystems 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 |