Senior Data Engineer - AI-Driven Data Pipelines Leader

Datatonic; Stockholms kommun; Hybrid; SEK 600,000 - 900,000; Full time

Benefits offered by this job

Holiday 30 days + holidays

Healthcare allowance

Wellbeing allowance

WFH equipment allowance

Udemy access

Private pension

Job summary

Datatonic is seeking a Data Engineer to design scalable data pipelines and optimize data flows for analytics and machine learning on Google Cloud Platform. You will collaborate with data scientists, ML engineers, and analysts in an agile setting to deliver robust data-driven solutions.

With 5+ years in data engineering, you combine Python/Java expertise with SQL and cloud-based tooling, contributing to high-availability infrastructure and mentoring teammates.

Qualifications

• Requires 5+ years of data engineering experience.
• Strong programming and SQL skills.
• Experience with cloud-based data pipelines and ML data prep.

Responsibilities

• Design and develop scalable data pipelines for analytics and ML models.
• Collaborate with data scientists, ML engineers and analysts in an agile setup.
• Maintain and optimize cloud infrastructure for high availability and performance.

Skills

Python

Java

SQL

Data Engineering

Cloud Computing

Leadership

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

dbt

Looker

Spark

Beam/Flink

Job description

Datatonic is seeking a Data Engineer to design scalable data pipelines and optimize data flows for analytics and machine learning on Google Cloud Platform. You will collaborate with data scientists, ML engineers, and analysts in an agile setting to deliver robust data-driven solutions.

With 5+ years in data engineering, you combine Python/Java expertise with SQL and cloud-based tooling, contributing to high-availability infrastructure and mentoring teammates.