Data Analytics Engineer - Remote/Hybrid, Pipelines & Dashboards

Cookie Information; København; Hybrid; DKK 600,000 - 900,000; Full time

Benefits offered by this job

Professional development budget

Health insurance

Flexible work arrangements

Job summary

Cookie Information is seeking a Data Analytics Engineer to help shape our data ecosystem. You will own data integrity, build robust pipelines, and deliver actionable insights in a cross-functional SaaS environment.

You will collaborate with engineering, product, and business stakeholders, leveraging BigQuery, dbt, Python, and Looker Studio to enable data-driven decisions across the company.

Qualifications

• 2+ years hands-on experience as a Data Analytics Engineer or similar analytics role.
• Strong background with modern data warehouses (BigQuery/Redshift/Snowflake); querying, performance tuning, data modeling.
• Hands-on experience building data transformation pipelines with dbt or similar tools.
• Ability to develop Python-based pipelines and data transformations for ingestion into the warehouse.
• Proven ability to translate complex data insights into clear business actions.
• Strong command of English (B2+).

Responsibilities

• Develop and manage datasets in a modern data warehouse environment (BigQuery).
• Design, build, and maintain robust data pipelines using dbt.
• Write, optimize, and maintain complex SQL queries for analytics needs.
• Own data quality and integrity across the warehouse, monitor data reliability, and drive improvements.
• Collaborate with engineers and stakeholders to ensure data accuracy and accessibility.
• Analyze and interpret complex datasets to support strategic business initiatives.
• Build interactive dashboards and visualizations using Looker Studio.
• Document analytical processes to ensure reproducibility and clarity.

Skills

BigQuery

dbt

SQL

Python

Looker Studio

Data visualization

English (B2+)

Tools

Redshift

Snowflake

Job description

Cookie Information is seeking a Data Analytics Engineer to help shape our data ecosystem. You will own data integrity, build robust pipelines, and deliver actionable insights in a cross-functional SaaS environment.

You will collaborate with engineering, product, and business stakeholders, leveraging BigQuery, dbt, Python, and Looker Studio to enable data-driven decisions across the company.