Senior Data Analytics Engineer: BigQuery + dbt & Airflow

Instinctools; Polska; Ibrido; PLN 180.000 - 280.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible working time

Learning opportunities

Language courses funded

Descrizione del lavoro

instinctools is seeking a Senior Data Analytics Engineer for a global mobility client. You will lead attribution-pipeline migrations, build incremental data marts in BigQuery, and ensure data quality across the DWH. Strong SQL, Python, dbt, Airflow and data governance are essential.

The ideal candidate has 5+ years in analytics engineering, experience with data warehouses, and the ability to translate business needs into data requirements. Hybrid work options are offered.

Competenze

• 5+ years of experience in Analytics/ DWH engineering or data analysis.
• Hands-on with data warehouses and DWH architecture (ODS, Data Marts).
• Strong SQL and Python skills with DBT and Airflow experience.
• Experience with BigQuery or similar columnar DB and data governance.

Mansioni

• Gather requirements from analysts and translate to attribution logic and data marts.
• Lead migration of the attribution pipeline to the core DWH platform and run parallel pipelines.
• Build and optimize incremental data marts in BigQuery and Airflow.
• Design data quality checks and investigate data discrepancies.
• Analyze external inputs to maintain reliable data flows from source to consumption.
• Participate in testing, data validation and release processes, and document domain knowledge.

Conoscenze

SQL

Python

dbt

Airflow

BigQuery

Data Warehouses

Git

Data Quality

Data Governance

Strumenti

dbt

Airflow

BigQuery

Git

Descrizione del lavoro

instinctools is seeking a Senior Data Analytics Engineer for a global mobility client. You will lead attribution-pipeline migrations, build incremental data marts in BigQuery, and ensure data quality across the DWH. Strong SQL, Python, dbt, Airflow and data governance are essential.

The ideal candidate has 5+ years in analytics engineering, experience with data warehouses, and the ability to translate business needs into data requirements. Hybrid work options are offered.