Data Pipeline Engineer

Data Pipeline Engineer

Location:
Malmö, Sweden

Onsite:
3 t/w

Contract Type:
Fixed-term (with possibilities of extension)

Workload:
100%

Language:
English (professional proficiency required)

At FrostLogic, we specialize in delivering customized IT consultancy and software engineering services that drive growth and efficiency. With over a decade of experience across diverse industries, we are a trusted technology partner for leading organizations such as IKEA and other global brands. We value autonomy, technical excellence, and collaboration—empowering our consultants to take ownership of impactful projects and grow in a supportive, trust-based environment.

Role Overview

We are looking for a skilled Data Pipeline Engineer to join a data engineering initiative focused on designing, building, and maintaining cloud-native data pipelines on Google Cloud Platform.

You will play a key role in developing reliable, scalable data flows and enabling standardized, high-quality data delivery across the organisation. The work involves modern technologies, close collaboration with experienced engineers, and the opportunity to contribute to a complex, high-impact data product in an agile environment.

This role offers a chance to work on end-to-end pipeline development—supporting orchestration, transformation, automation, and observability across multiple integration landscapes.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and dbt (or similar tools).

• Build, operate, and improve data workflows hosted on Google Cloud Composer.

• Develop data storage and processing solutions on GCP, primarily using BigQuery and GCS.

• Automate infrastructure and deployments using Terraform and modern DevOps practices.

• Collaborate closely with data analysts, engineers, and cross-functional teams to deliver clean and reliable datasets.

• Monitor pipeline performance, troubleshoot failures, and ensure quality, observability, and robustness.

• Apply and promote best practices in coding, testing, documentation, and version control.

• Contribute to continuous improvement through performance optimization and reliable delivery processes.

Core Experience

• Strong Python backend development experience, particularly for data-intensive systems.

• Solid understanding of ETL/ELT workflows, data modelling, SQL, and cloud-based data platforms.

• Experience working in agile and iterative development environments.

Technical Skills

• Python (backend & data processing)

• Google Cloud Platform (BigQuery, GCS, Pub/Sub, IAM, Cloud Functions)

• Airflow or similar orchestration frameworks

• dbt or equivalent transformation frameworks (Spark SQL, Dataform, etc.)

• Terraform & infrastructure-as-code

• CI/CD pipelines, Git workflows, Docker

• Data pipelines, data warehousing, and distributed processing

Capabilities

• Strong sense of ownership, accountability, and attention to detail.

• Ability to learn quickly and adapt to new tools, approaches, and priorities.

• Proactive mindset focused on continuous improvement and delivering high-quality outcomes.

• Strong communication and collaboration skills across co-located and remote teams.

Who You Are

• Passionate about building reliable, scalable data solutions.

• Motivated by modern cloud technologies and engineering practices.

• Comfortable taking initiative and working both independently and collaboratively.

• Curious, open-minded, and energized by working in agile, iterative setups.

• Able to explain technical concepts clearly and effectively to diverse stakeholders.

What We Offer

• A key role supporting a high-impact project in an international environment.

• Competitive compensation.

•
Opportunities for professional growth in modern cloud and data engineering.

•
A collaborative environment that values autonomy, trust, and continuous learning.

Interested?

We review applications on a rolling basis, so we encourage you to apply as soon as possible.

If you have any questions, please contact our
People Operations Manager, Diana Dodan —

Not sure if you meet every requirement? That's okay—if this role excites you and you think you'd be a great fit, we'd love to hear from you.