Data Analytics Engineer
New
C
Cookie Information and Piwik PROSaaS, Data Privacy
We are flexible with the location of this role. We are open to on-site (offices in Copenhagen or Wroclaw), hybrid, and remote working.Full-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English (B2+)
- Experience
- Minimum of 2 years hands-on experience
- Required Skills
- PythonSQLMicrosoft Power BIData visualizationData modelingBigQuerydbt
Requirements
- Minimum of 2 years hands-on experience in a Data Analytics Engineer or related role.
- Solid background in modern data warehouse platforms (BigQuery, Redshift, Snowflake).
- Practical experience building and maintaining data transformation pipelines using dbt.
- Ability to develop and maintain Python-based pipelines (e.g., dlt).
- Strong SQL proficiency for querying, performance tuning, and data modeling.
- Proven ability to translate complex data insights into business actions.
- Strong command of English (B2+).
- Experience in visual analytics (Looker Studio, Power BI) preferred.
- Experience with AI-assisted data analysis or business intelligence preferred.
Responsibilities
- Develop and manage datasets in a modern data warehouse environment using BigQuery.
- Design, build, and maintain robust data pipelines using dbt.
- Write, optimize, and maintain complex SQL queries for various analytical needs.
- Take independent ownership of data quality and data integrity across the data warehouse.
- Collaborate with engineers and internal stakeholders to ensure data accuracy and accessibility.
- Analyze and interpret complex datasets to support strategic business initiatives.
- Build interactive data visualizations and dashboards using Looker Studio.
- Document analytical processes and methodologies to ensure reproducibility.
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