Senior Data Engineer

Nitor Group Oy; Helsinki; On-site; EUR 60,000 - 90,000; Full time

Job summary

Nitor Group Oy in Helsinki is seeking a data-focused developer to create business value by building data-intensive applications, automating and orchestrating data pipelines, and simplifying complex processes with modern technologies.

You will work with Python, Scala, or Clojure and cloud platforms such as AWS, Azure, or GCP, training clients and collaborating in a startup-like environment that emphasizes learning, teamwork, and innovation.

Qualifications

• Experience building data-intensive applications and data pipelines.
• Ability to work with modern programming languages and cloud platforms.

Responsibilities

• Develop data-intensive applications to create business value and competitive advantage for clients.
• Automate and orchestrate data pipelines to simplify complex processes.
• Build data applications and train clients.
• Collaborate with the team using Python, Scala, or Clojure and cloud platforms including AWS, Azure, or GCP.
• Contribute in a startup-like environment that emphasizes continuous learning, collaboration, and innovation.

Tools

Python

Scala

Clojure

AWS

Azure

GCP

Job description

Overview

The role involves creating business value and competitive advantage for clients by developing data-intensive applications, automating and orchestrating data pipelines, and simplifying complex processes with the latest technologies. The work includes building data applications, training clients, and working with programming languages like Python, Scala, or Clojure, and cloud platforms such as AWS, Azure, or GCP. The team emphasizes continuous learning, collaboration, and innovation in a startup-like environment.

Responsibilities

• Develop data-intensive applications to create business value and competitive advantage for clients.
• Automate and orchestrate data pipelines to simplify complex processes.
• Build data applications and train clients.
• Collaborate with team using programming languages such as Python, Scala, or Clojure and cloud platforms including AWS, Azure, or GCP.
• Contribute in a startup-like environment that emphasizes continuous learning, collaboration, and innovation.