Data Engineer

At Intrum, you will grow by making a difference. You will do it in a highly international environment and in a supportive culture where effort counts.

Are you our new AI & Data Platform Engineer?
  
As a market-leading credit management company, Intrum has a broad competence in debt collection services and we do business in 20 countries in Europe. We have more than 10,000 experienced employees in our group.

Our business is about helping others. Helping indebted individuals to get out of difficult situations. Helping businesses get paid so they can grow, hire and prosper. Which in turn is positive for the entire economy. You become an essential part of this circle with us, which gives your job at Intrum a deeper meaning. Regardless of your role or title. 

Being at the forefront is everyone's job. As the market leader, it is up to us to be at the forefront. Shaping the industry. Setting new standards. And wherever in the world your Intrum career path takes you, whatever role you play, you will contribute to growth, innovation and impact that makes a real difference.

To have the opportunity to grow. In our organization there are many opportunities to advance, specialize and rotate. Or even try your wings abroad. It's up to you to make it happen. The fact that our business is about helping others – individuals and companies, means that your work also develops on a more personal level. Simply put, you will grow by making a difference.

The role
The role will report to Head of Data & AI

Location for this position is Stockholm (Sickla)

Hybrid work. We see that hybrid work, where we as employees can work either from home or from the office, creates opportunities to perform and work effectively in virtual and real environments.

Purpose of role

As a Data / ML / AI Engineer, you will help build and evolve the data and AI backbone that makes analytics, automation, and AI production-ready at scale.

You will start with a strong focus on data engineering and platform modernisation—including migration from on-premise data warehouse solutions to Azure Databricks Lakehouse—and gradually expand into ML/AI engineering, with the opportunity to help shape future capabilities around GenAI and Agentic AI systems.

This role sits at the intersection of data platforms, machine learning, and automation, working closely with Data Scientists, Automation Engineers, Product Owners, and Platform Engineering.

Responsibilities of role

Data & Platform Engineering

• Design, build, and operate scalable ELT/ETL pipelines into Bronze/Silver/Gold layers using Azure Databricks, Delta Lake, dbt.
• Support on-prem DWH to cloud migration (Azure) including data modelling, performance optimisation, and cost efficiency.
• Implement batch, CDC, and streaming pipelines using Event Hubs/Kafka where relevant.
• Develop data products, feature datasets, and data contracts to enable BI, automation, and AI use cases.
• Ensure data quality, observability, lineage, and governance.

ML & AI Engineering (current and evolving scope)

• Collaborate with Data Scientists to productionise ML models (training pipelines, inference, monitoring).
• Build and manage feature stores, model inputs, and reusable ML components in Databricks.
• Support model lifecycle management (versioning, CI/CD, testing, retraining triggers).
• Gradually expand into GenAI enablement, including prompt pipelines, embeddings, vector stores, and AI service integration.

Future-Oriented: Agentic AI Enablement

• Contribute to the foundations required for Agentic AI:
  • State & memory management
  • Tool/function orchestration
  • Event-driven and asynchronous processing
  • Observability, guardrails, and cost control
• Partner with Automation and Platform teams to enable AI-driven autonomous workflows beyond traditional RPA.

Engineering Excellence

• Implement CI/CD using Azure DevOps or GitHub.
• Infrastructure as Code using Terraform / Bicep.
• Write clear documentation, runbooks, and promote self-service data & AI usage across the organisation.
• Actively use AI-assisted development tools to improve productivity and quality.

Your Background

We believe you have:

• 3–7+ years of experience in data engineering, with growing exposure to ML or AI engineering.
• Strong hands-on experience with:
  • Azure Cloud
  • Azure Databricks (Spark, Delta Lake, Workflows)
  • SQL & Python
• Experience or strong interest in:
  • ML pipelines and model operationalisation
  • Feature stores and reusable ML components
  • GenAI foundations (LLMs, embeddings, prompt pipelines)
• Experience from on-prem DWH → Azure Databricks migration is highly meriting.
• Familiarity with:
  • dbt, ADF, Airflow (or equivalent)
  • Streaming architectures
  • Data quality & observability tooling
• Experience from regulated environments (e.g. financial services) is a plus.
• Comfortable working in agile / SAFe-inspired environments.

Who are you

We at Intrum want to contribute to an inclusive and diverse working life. We accept our differences and know that this is a strength. We know that we are all a resource for society, regardless of age, functional ability, gender, religion, ethnicity or sexual orientation. Therefore, we encourage everyone to apply for a job with us. Come as you are.

You act according to our values. Our values ​​are not words. They are everything.

Behind our global expansion and major digital transformation are four simple but powerful values. Ethics. Devotion. Solutions. Empathy. It is the values ​​that drive our everyday life, regardless of how big we become. Others may think they are small things. But for us, they are everything.

Are you curious or have questions?

You are welcome to contact the recruitment manager for more information: Nima Ghorbani.

Only applications received through our online system will be considered.

Do you feel that you might be the right person? Great! Apply now. Looking forward to hearing from you!