Data Engineer: Real-Time AI & Data Platform

Pyyne Digital; Stockholms kommun; On-site; SEK 450,000 - 600,000; Full time

Job summary

Pyyne Digital is seeking a motivated Data Engineer to build robust data foundations while shaping the company's future. You will design scalable systems and collaborate across industries such as Legal, Green Energy, and MedTech, solving complex data challenges.

Your role will involve building vital infrastructure for AI and analytics, ensuring data quality, and mentoring others. Proficiency in Python, SQL, and experience with data orchestration tools are essential for this opportunity.

Qualifications

• Proficiency in Python and advanced SQL.
• Experience building scalable data pipelines.
• Familiarity with orchestration tools like Airflow.
• Cloud system deployment experience (AWS, Azure, GCP).
• Understanding of ML model lifecycles.

Responsibilities

• Design and build scalable data pipelines.
• Champion data quality and automate testing.
• Collaborate with Data Scientists on ML models.
• Ensure trusted data availability and accessibility.

Skills

Python

SQL

Data pipeline architecture

DataOps practices

Real-time data flows

Education

MSc or BSc in Computer Science, Mathematics, Data Science, or Engineering

Tools

Spark (PySpark)

Kafka

Delta Lake

Snowflake

dbt

Docker

Kubernetes

Terraform

Airflow

Job description

Pyyne Digital is seeking a motivated Data Engineer to build robust data foundations while shaping the company's future. You will design scalable systems and collaborate across industries such as Legal, Green Energy, and MedTech, solving complex data challenges.

Your role will involve building vital infrastructure for AI and analytics, ensuring data quality, and mentoring others. Proficiency in Python, SQL, and experience with data orchestration tools are essential for this opportunity.