Senior Data Engineer - AI-Ready Data Pipelines (Remote)

Telia Company; Malmö kommun; Hybrid; SEK 700,000 - 1,050,000; Full time

Benefits offered by this job

Remote work opportunities

Performance bonus

Job summary

Telia Company is seeking a Senior Data Engineer for Infra Analytics to help build data foundations and AI-powered solutions across Telia Infrastructure. You will design architectures, build reliable pipelines and collaborate with developers, product owners, and stakeholders to deliver secure, scalable data platforms.

The role emphasizes hands-on engineering, data quality, and cloud-native development, with opportunities for remote work and a performance-based bonus.

Qualifications

• Several years in data engineering, backend development or platform engineering, building scalable data solutions.
• Strong SQL, Python and modern software development skills, plus Linux administration and troubleshooting.
• Experience with containers and Kubernetes.
• Fluent English and ability to translate business needs into technical solutions.

Responsibilities

• Design data architectures and build reliable pipelines for analytics and AI platforms.
• Develop scalable data products and analytics solutions using ETL/ELT processes.
• Make data AI-ready with high-quality datasets and feature engineering.
• Contribute to AI-powered solutions including generative AI and intelligent automation.
• Maintain platform dependability: data quality, observability, performance and security.
• Advance engineering standards through CI/CD and MLOps practices, mentoring.

Skills

SQL

Python

Linux administration

Containers

Kubernetes

Communication

Stakeholder management

English

Tools

Spark

Trino

PostgreSQL

dbt

Airflow

Luigi

Linux tooling

Job description

Telia Company is seeking a Senior Data Engineer for Infra Analytics to help build data foundations and AI-powered solutions across Telia Infrastructure. You will design architectures, build reliable pipelines and collaborate with developers, product owners, and stakeholders to deliver secure, scalable data platforms.

The role emphasizes hands-on engineering, data quality, and cloud-native development, with opportunities for remote work and a performance-based bonus.