Data Engineer: Scalable Pipelines for Analytics & AI

Ericsson; Linköpings kommun; On-site; SEK 600,000 - 900,000; Full time

Job summary

Ericsson is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting Hardware Management and Lab Operations. The role emphasizes reliable data delivery, governance, and accessible datasets for analytics, automation, and AI initiatives.

You will collaborate with product owners, analysts, data scientists, and architects to translate requirements into secure, scalable data solutions that enable business decisions and digital transformation.

Qualifications

• Proficiency in Python, SQL and Shell/BASH scripting.
• Experience with data modelling, ETL/ELT and data warehousing concepts.
• Familiarity with REST APIs, JSON/XML and data integration patterns.
• Experience in Linux environments and version control (Git).

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop data models, marts, warehouses, and lakehouse structures for analytics.
• Ensure data quality, governance, and secure access to datasets.
• Collaborate with stakeholders to translate requirements into data solutions.
• Optimize data platform performance and drive automation and modernization.

Skills

Python

SQL

Shell/BASH

Data Modelling

ETL/ELT

REST APIs

Linux

Git

Cloud

Data Governance

Tools

Power BI

PostgreSQL

MySQL

MS SQL Server

Oracle

Job description

Ericsson is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting Hardware Management and Lab Operations. The role emphasizes reliable data delivery, governance, and accessible datasets for analytics, automation, and AI initiatives.

You will collaborate with product owners, analysts, data scientists, and architects to translate requirements into secure, scalable data solutions that enable business decisions and digital transformation.