IT Data Engineer
- Onsite
About the role
Join our Team
About this opportunity:
Join the HWM Data Management & Visualization team as a Data Engineer and take an active role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.
In this role, you will build reliable data pipelines, integrate multiple enterprise data sources, manage data models, and help ensure that high-quality, secure, and accessible data is available for analytics, reporting, automation, and AI-driven initiatives.
You will collaborate with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to turn raw operational data into trusted and governed data products that support business decisions, process optimization, and digital transformation.
What you will do:
• Build and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop data models, data marts, warehouses, and lakehouse-ready structures for reporting, analytics, automation, AI, and machine learning.
• Ensure data quality, governance, security, compliance, and access through automated monitoring, validation, reconciliation, and controls.
• Create trusted, reusable, and documented datasets, while improving platform performance through partitioning, indexing, query tuning, storage optimization, and scalable design.
• Collaborate with technical and business stakeholders and support continuous improvement through automation, modernization, migration, deployment, version control, troubleshooting, and operational excellence.
The skills you bring:
• A degree in Computer Science, Data Science, or Information Engineering, with 2–5 years of experience as a Data Engineer.
• Experience with Python, SQL, Shell/BASH, Linux/Unix, Git, and version control.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schemas.
• Experience building ETL/ELT pipelines and integrating REST APIs, JSON, and XML.
• Understanding of data warehouses, data lake, lakehouses, and cloud or hybrid data platforms.
• Knowledge of analytics, visualization, data governance, and security.
• Strong analytical, problem-solving, and stakeholder communication skills.
Preferred experience
• Experience with GPU clusters or high-performance computing for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience with enterprise reporting and visualization, especially Power BI, and agile 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