IT Data Engineer
Linköping, Östergötland County, SE
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild and maintain scalable data pipelines, ETL/ELT processes and integrations
Develop data models, data marts, warehouses and lakehouse-ready structures
Ensure data quality, integrity and governance through automated monitoring and validation
Deliver trusted, reusable, well-documented datasets for BI and self-service analytics
Optimize data platform performance through partitioning, indexing and query tuning
From the employer’s posting
Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems
Develop and manage data models, data marts, warehouses, and lakehouse-ready structures
Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics
Optimize data platform performance through partitioning, indexing, query tuning, storage optimization
Tools in this posting
- Bash
- Python
- Shell
- SQL
- Azure
- MySQL
- Oracle
- PostgreSQL
- Power BI
- SQL Server
Source — Tool mentions in context
The skills you bring: * Proficiency in Python, SQL, and Shell/BASH scripting. * Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle. * Knowledge of data modelling, normalization, dimensional modelling, and star schema design. * Experience building ETL/ELT pipelines and workflows. * Familiarity with REST APIs, JSON, XML, and data integration patterns. * Experience with Linux/Unix environments. * Knowledge of Git and version control. * Understanding of data warehousing and modern data platforms. * Experience with cloud-based or hybrid data environments. * Understanding of data lake, warehouse, and lakehouse architectures. * Analytics & Visualization Enablement * Data Governance & Security * Analytical, problem-solving, and stakeholder communication skills Preferred experience
Preferred experience * Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads. * Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems. * Experience supporting enterprise reporting and visualization, especially Power BI. * Experience with agile product and delivery teams. * Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting. Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
About Ericsson
As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Aug 20, 2026 · 71 days ago
- Recorded sightings
- 237
- Last seen by us
- Oct 30, 2026
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Linköping, Östergötland County, SE
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