Must have

• DWH

• Azure Cloud

• SQL

• Python

• Big data

• English (Fluent)

Requirements description

• 4+ years of experience with Python
• Knowledge of Databricks
• Experience with Snowplow or other tracking solutions
• Skills in building and maintaining data pipelines with dbt
• Proficiency with cloud platforms (preferably Azure)
• Strong SQL skills for data processing and transformation
• Fluent English

Offer description

We are looking for an enthusiastic Senior Data Engineer to join our team. In this role, you will collaborate with skilled professionals dedicated to providing insights into user behavior. Your work will help the organization understand when, where, and how users engage with our digital platforms. As a Senior Data Engineer, you will take charge of developing and improving advanced data-tracking solutions, ensuring seamless platform integration and transforming data into valuable insights that drive key business decisions.

About us

We are a global manufacturing company based in Scandinavia, with offices and operations around the world.

Requirements

• 4+ years of experience with Python
• Knowledge of Databricks
• Experience with Snowplow or other tracking solutions
• Skills in building and maintaining data pipelines with dbt
• Proficiency with cloud platforms (preferably Azure)
• Strong SQL skills for data processing and transformation
• Fluent English

Responsibilities

• Collaborate with developers and product managers
• Design, build, and manage data pipelines using dbt to process bronze, silver, and gold data layers in Databricks
• Work with cloud infrastructure, particularly Azure
• Use SQL and Python to create reliable data solutions
• Ensure data quality, security, and compliance throughout its lifecycle

Your responsibilities

1. Collaborate with developers and product managers
2. Design, build, and manage data pipelines using dbt to process bronze, silver, and gold data layers in Databricks
3. Work with cloud infrastructure, particularly Azure
4. Use SQL and Python to create reliable data solutions
5. Ensure data quality, security, and compliance throughout its lifecycle