Data Engineer

Coop Sverige; Stockholms kommun; Hybrid; SEK 550,000 - 750,000; Full time

Benefits offered by this job

Modern work environment

Fantastic staff restaurant

Hybrid work options

Job summary

Coop Sverige is looking for a skilled Data Engineer to strengthen its Data Platform team. The ideal candidate will design and build scalable, cloud-native data solutions on Azure, ensuring high-quality data products. You will work closely with various stakeholders to deliver trusted data products, fostering a culture of collaboration and growth.

Your expertise should include Azure data services, Databricks, and strong programming skills, particularly in Python and SQL. This role offers the possibility of hybrid work from our modern office in Solna Business Park.

Qualifications

• 5+ years of experience in data engineering.
• Hands-on experience with Azure data platform.
• Skilled in data architecture and modelling.

Responsibilities

• Design and implement scalable data pipelines on Azure.
• Collaboration with stakeholders to deliver data products.
• Ensure adherence to data governance and operational standards.

Skills

Azure Data Factory

Databricks

PySpark

Apache Kafka

Python

SQL

Tools

Azure DevOps

Terraform

Job description

At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels our innovation – from purchasing and logistics to personalised customer experiences.

We are now strengthening our Data Platform team with a skilled Data Engineer to help us build scalable, cloud-native data solutions on Azure.

About the role

You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics, reporting, operational intelligence and AI across the company.

In this role you will design, build and optimise enterprise-grade data platforms using Azure Data Services, Databricks, modern Data Lakehouse architectures, real-time streaming and DevOps automation. You’ll turn data from across the business into trusted, high-quality data products that the whole organisation can rely on.

What you will do

• Design and implement scalable batch and real-time data pipelines using Azure-native technologies.
• Build and maintain robust data ingestion frameworks from multiple source systems, APIs and event streams.
• Develop and manage Medallion Architecture (Bronze, Silver, Gold) within the enterprise Data Lake.
• Implement streaming solutions with Kafka, Event Hub and Service Bus for event-driven processing.
• Develop transformation frameworks using Databricks, PySpark and Delta Lake.
• Collaborate with business stakeholders, data analysts and data scientists to deliver trusted, high-quality data products.
• Enable CI/CD pipelines and automate deployments using Azure DevOps best practices.
• Drive platform optimization focused on performance, scalability, reliability and cost efficiency.
• Ensure adherence to data governance, security, monitoring and operational excellence standards.

Who are you?

To succeed in this role, we believe you have a genuine passion for getting value from massive datasets and love working with state-of-the‑art technologies that make completely new data‑driven solutions possible. You enjoy working with different tasks and stakeholders, you are result‑oriented, and you spark when given room to take initiative and create solutions. As a team, we believe in supporting and challenging each other and growing a positive, learning culture.

We believe that you

• Have strong hands‑on experience with the Azure data platform – Azure Data Factory, Azure Databricks, Data Lake Storage Gen2 (ADLS), Azure Functions, Event Hub and Service Bus.
• Are highly skilled in Databricks and the Lakehouse – PySpark, Spark SQL, Delta Lake, Databricks Workflows, Unity Catalog and performance tuning, applying Medallion and Lakehouse architecture in practice.
• Are strong in data architecture and modelling – Lakehouse and Medallion design, ETL/ELT frameworks, and data quality & validation frameworks.
• Have experience with streaming and integration – Apache Kafka, event‑driven architecture, Service Bus, batch ingestion / Autoloader and REST APIs.
• Are a confident programmer in Python, PySpark and SQL.
• Work the DevOps way – Azure DevOps, CI/CD pipeline development and Infrastructure as Code (Terraform preferred).
• Are comfortable with monitoring and operations – Log Analytics, Application Insights, and performance tuning & troubleshooting.
• Can communicate effectively with both technical specialists and non‑technical stakeholders.

It’s meritorious if you

• Have 5+ years of experience in data engineering.
• Have worked with retail, logistics or large‑scale operational data environments.
• Have supported machine learning and advanced analytics workloads.
• Have a strong understanding of distributed data processing and streaming architectures.

About us

The grocery trade is a stable, long‑term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. At Coop, we work for our 4.2 million members, making us by far the largest cooperation in Sweden.

For a sustainable future together:

Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services.

We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.