Senior Data Engineer

Posted 8 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Software
The Role
Build and operate scalable data pipelines, data products, analytics platforms, and AI-ready datasets. Design secure, reliable architectures; improve data quality, observability, performance, and platform security; and support generative AI, MLOps, automation, and machine learning solutions. Collaborate with technical and business stakeholders, apply CI/CD and DevOps practices, mentor colleagues, and translate complex business needs into scalable data and AI solutions.
Summary Generated by Built In

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.


Ready to make better happen?


We look forward to receiving your application by December 7. Please note that we might close the position earlier if we find the right candidate, so don’t wait too long to apply!


If you’re selected for the next stage, you’ll be contacted by our Talent Acquisition Partner.


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.


Want to know more about this role? Please reach out to Marie Reinholdson Ifvarson, hiring manager, at [email protected].

 

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.


Join us and let’s make better happen - together!

Skills Required

  • Several years of experience in data engineering, backend development, or platform engineering
  • Experience building and operating scalable data solutions, pipelines, data products, or analytics platforms
  • Strong SQL and Python skills
  • Modern software development experience
  • Strong Linux administration and troubleshooting skills
  • Experience with containers and Kubernetes
  • Knowledge of modern data architectures and cloud-native development
  • Experience in AI, machine learning, or advanced analytics
  • Understanding of how data platforms enable AI and automation
  • Strong communication and stakeholder management skills
  • Fluent English
  • Experience with generative AI, LLMs, agentic AI frameworks, AI-enabled products, or intelligent automation
  • Experience with MLOps, model deployment, AI platforms, vector databases, semantic search, or RAG
  • Experience with infrastructure and platform security, access management, or authentication and authorization
  • Experience with dbt, AWS, Azure, GCP, Snowflake, Databricks, Trino, or analytics and AI/ML tools
  • Telecom or large-scale enterprise experience
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The Company
HQ: Stockholm
18,132 Employees

What We Do

Our 15 000 talented colleagues serve millions of customers every day in one of the world’s most connected regions. With a strong connectivity base, we’re the hub in the digital ecosystem, empowering people, companies and societies to stay in touch with everything that matters 24/7/365 - on their terms. Our goal is to make Telia better for customers, employees, owners and societies in the Nordics and the Baltics.

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