Senior Data Engineer

Telia; Malmö kommun; Hybrid; SEK 720,000 - 1,000,000; Full time

Benefits offered by this job

Remote work options

Bonus potential

Job summary

Telia Infra Analytics is seeking a Senior Data Engineer to build data foundations that enable AI-powered solutions across Telia Infrastructure. You’ll design data architectures and deliver reliable pipelines, collaborating with developers, architects, product owners and business stakeholders.

You’ll work on scalable data products, analytics capabilities and AI-ready datasets, focusing on data quality, observability and security while advancing CI/CD and MLOps practices.

Qualifications

• Several years of data engineering, backend or platform engineering.
• Strong SQL and Python, Linux admin and troubleshooting skills.
• Experience with containers and Kubernetes.
• Experience with data architectures and cloud-native development; AI/ML understanding is a plus.

Responsibilities

• Build scalable data pipelines, data products and analytics solutions.
• Turn complex needs into secure, scalable data platforms.
• Collaborate with developers, architects, product owners and business stakeholders.
• Mentor others and raise engineering standards with CI/CD and MLOps.

Skills

SQL

Python

Linux administration

Containers

Kubernetes

Tools

dbt

Airflow

Luigi

PostgreSQL

Job description

Build the data foundations. Enable what comes next in AI. Join Infra Analytics as a Senior Data Engineer and help turn data into insights, intelligent automation and AI-powered solutions across Telia Infrastructure.

I’m Marie Reinholdson Ifvarson, the hiring manager for this role. We’re looking for a colleague who wants to combine hands‑on engineering with the opportunity to shape our data and AI platforms. You’ll join a supportive team where collaboration, knowledge sharing and business value guide what we build.

What you’ll do

From designing data architectures to building reliable pipelines, you’ll help shape the platforms behind analytics, automation and AI. Working closely with developers, architects, product owners and business stakeholders, you’ll turn complex needs into secure, scalable solutions.

• Build and improve scalable data pipelines, data products and analytics solutions using efficient ETL/ELT processes.


• Make data AI-ready through robust architectures, feature engineering and high-quality datasets for analytics and machine learning.


• Help develop AI-powered solutions, including generative AI, agentic AI and intelligent automation.


• Keep platforms dependable with a focus on data quality, reliability, observability, performance and security.


• Raise the engineering standard through software engineering, CI/CD and MLOps practices, mentoring and knowledge sharing.

Out technology landscape

• Data and platforms: SQL, Spark, Trino, PostgreSQL, dbt, Airflow, Luigi, Kubernetes, datamodelling and geospatial data.


• Engineering practices: CI/CD, DevOps and MLOps.


• Applied AI: predictive analytics, LLM integrations, vector databases, RAG and analytics agents.

What will help you thrive in this role

You enjoy solving complex engineering challenges and are curious about what data and AI can make possible. You listen, share what you know and work closely with others to turn technical solutions into real business value.

• Engineering experience: Several years in data engineering, backend development or platform engineering, building and operating scalable data solutions, pipelines, data products and analytics platforms.


• Core technical skills: Strong SQL, Python and modern software development skills, plus strong Linux administration and troubleshooting skills and experience with containers and Kubernetes.


• Data and AI understanding: Knowledge of modern data architectures and cloud-native development, with experience in AI, machine learning or advanced analytics and an understanding of how data platforms enable AI and automation.


• Collaboration: The ability to translate business needs into technical solutions, strong communication and stakeholder management skills, and fluent English.

It’s a plus if you also bring

• Hands-on AI: Generative AI, LLMs, agentic AI frameworks, AI-enabled products or intelligent automation.


• AI engineering: MLOps, model deployment, AI platforms, vector databases, semantic search or RAG.


• Security: Infrastructure and platform security, access management and authentication/authorization.


• Data technologies: DBT, AWS, Azure or GCP, and analytics, BI or AI/ML tools such as Snowflake, Databricks or Trino.


• Industry experience: Telecom or large-scale enterprise environments.

Why Infra Analytics?

Help build the next generation of data, analytics and AI capabilities for one of the Nordics’ largest infrastructure organizations. You’ll tackle complex engineering challenges with modern technologies—and help shape how data and AI create value across Telia Infrastructure.

Join us to shape smarter living for people, businesses, and the planet

At Telia, we’re a team of 15 000 colleagues across the Nordics and Baltics, passionate about technology and connectivity. As a Leading Telecommunications Operator & Climate Leader, we drive change with large‑scale, impactful projects while building a sustainable, inclusive world. Here, you can grow your skills, lead meaningful projects, and thrive in a supportive, diverse environment. Whether you’re taking your first step or your next, Telia is a place to grow, belong, and make a real impact.

What We Offer

When you join us, you'll receive a comprehensive benefits package tailored to your local market, opportunities for remote work, and more. You'll also have the chance to earn a bonus based on your performance and Telia's results.

Telia is part of critical infrastructure and parts of our operations are subject to security protection. Depending on the role, vetting activities may be required prior to employment. In some cases, additional eligibility requirements, including specific citizenship requirements, may apply.

Equal opportunities

At Telia, we recognize talent by professional skills and growth potential. We champion diversity, ensuring every individual’s needs are met, regardless of disability, gender, age, nationality, sexual orientation, or social status. Together, we’re dedicated to fostering an inclusive work environment where your uniqueness is our strength.