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IT Data Engineer

Linköping, Östergötland County, SE

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Ericsson

What you’ll work on

Full posting
  • Build 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

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Live
First seen by us
Aug 20, 2026 · 71 days ago
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Last seen by us
Oct 30, 2026

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Job description

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## Join our Team About this opportunity: 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. You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives. The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation. What you will do: * Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms. * Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases. * 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, operational reporting, and advanced analytics. * Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design. * Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions. * Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements. * Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence. 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 * 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. What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Sweden (SE) || Linköping Req ID: 788648
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Linköping, Östergötland County, SE

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