IT Data Engineer

Ericsson GmbH; Linköpings kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Ericsson in Linköping, Sweden is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data models enabling analytics, automation, and AI-driven initiatives.

You will collaborate with data scientists, analysts and engineers to ensure data quality, governance, and secure access across cloud or hybrid environments and support reporting, BI, and operational dashboards.

Qualifications

• Proficiency in Python, SQL, and scripting.
• Experience with enterprise databases and data models.
• Knowledge of ETL/ELT pipelines and data integration patterns.

Responsibilities

• Design, build, and maintain scalable data pipelines across enterprise systems.
• Develop data models, warehouses, and lakehouse structures for analytics and AI.
• Ensure data quality, governance, and security with automated controls.
• Deliver reusable datasets for BI, reporting, and advanced analytics.
• Collaborate with architects, analysts, data scientists, and stakeholders.

Skills

Python

SQL

Shell/BASH

PostgreSQL

MySQL

MS SQL Server

Oracle

Data modelling

Dimensional modelling

Star schema

ETL/ELT

REST APIs

JSON

XML

Linux/Unix

Git

Data warehousing

Cloud / hybrid

Data lake / lakehouse

Tools

Git

SQL databases

REST APIs

Job description

Join our TeamAbout 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 EnablementData Governance & SecurityAnalytical, problem-solving, and stakeholder communication skillsPreferred experienceExperience 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) || LinköpingReq ID: 788648