Arbetsbeskrivning

Avaron helps you find assignments that match your skills and ambitions. As a permanently employed consultant with us, you get competitive terms – combined with the variety and growth that a consulting career offers.

You will join a product-focused environment where reliable data and machine learning foundations are critical to AI-driven solutions. In this role, you get to work across both data engineering and machine learning engineering, with a clear focus on building scalable, high-quality pipelines and production-ready ML workflows on Google Cloud Platform.

You will help turn raw and complex data into structured, trusted, and usable datasets for analytics and ML. At the same time, you will contribute to how models are trained, deployed, monitored, and maintained in production. The role is collaborative by nature, and you will work closely with data scientists, ML engineers, and product stakeholders to create solutions that are robust, maintainable, and cost-efficient.

This assignment is especially interesting if you enjoy owning the full path from data foundation to production ML in a modern GCP environment.

• You will design, build, and maintain scalable data pipelines on GCP using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• You will prepare datasets for analytics and machine learning through data wrangling, cleaning, and preprocessing.
• You will develop transformation layers and reliable data models using dbt.
• You will improve data quality, monitoring, and performance across datasets and pipelines.
• You will build and deploy ML workflows in Vertex AI, from training to production.
• You will help shape scalable data and ML architectures together with cross-functional teams.
• You will collaborate closely with data scientists, ML engineers, and product managers to strengthen the performance and reliability of data and AI solutions.
• You will contribute to MLOps practices that support smooth deployment, monitoring, and maintenance of ML models.

• Strong experience with GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• Hands-on experience with dbt and strong SQL skills.
• Knowledge of ELT/ETL patterns, data modeling, and data quality practices.
• Experience with Vertex AI, including training, pipelines, and deployment.
• Proficiency in Python and experience building production ML pipelines.

• Understanding of MLOps fundamentals and basic CI/CD.
• Experience with Docker and cloud-native development.
• Good understanding of distributed systems and scalable architecture.

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year

Selections are made on an ongoing basis – apply as soon as you can.