Data Engineer: Scalable Pipelines & Data Governance

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

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.