Data Engineer: Scalable ELT Pipelines & Metrics

Qogita; Amsterdam; Hybrid; EUR 60,000 - 75,000; Full time

Benefits offered by this job

Salary range 60k–75k EUR

Leave days 26 + 4 personal

Company bonus

Equity package

Pension contributions

Learning & development budget

Hybrid flexibility

Dog-friendly offices

Home-office setup

Office socials & offsite

Job summary

Qogita in Amsterdam, Netherlands, is seeking a data engineer to build and maintain ELT pipelines turning raw data into trusted datasets, with dbt modeling and Python. You will partner with Analytics, Product and Engineering to keep the data warehouse accurate and accessible.

The role requires 3+ years of production pipeline experience, hands-on SQL/Python, Snowflake/BigQuery/Redshift, and orchestration tools like Airflow or Dagster. Hybrid work with dog-friendly offices.

Qualifications

• 3+ years of experience building production data pipelines with a modern ELT stack.
• Hands-on experience with dbt for data modeling and transformation.
• Working knowledge of SQL and Python, applied to pipeline development and data validation.
• Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Familiarity with orchestration tools such as Airflow or Dagster.
• Able to work independently with minimal guidance and identify data quality issues before they affect downstream teams.
• Comfortable operating in a fast-moving scale-up environment with evolving priorities.

Responsibilities

• Build and maintain ELT pipelines that move data from production systems into the data warehouse.
• Manage the modeling layer in dbt, ensuring transformations are tested, documented, and performant at scale.
• Deliver new datasets and metrics in partnership with Analytics and Product to support cross-functional reporting needs.
• Own the monitoring and alerting for pipeline failures and data quality issues, resolving incidents before they reach downstream consumers.
• Analyse query performance and warehouse costs, and improve schema design and partitioning strategy accordingly.
• Develop internal tooling and documentation that make the data platform easier for other engineers to use.
• Work as part of the platform team, partnering with other platform engineers to keep the data infrastructure reliable and well-integrated with the broader systems other teams build on.

Skills

dbt modeling

SQL

Python

ELT pipelines

Airflow

Dagster

Cloud warehouse

Tools

Snowflake

BigQuery

Redshift

Job description

Qogita in Amsterdam, Netherlands, is seeking a data engineer to build and maintain ELT pipelines turning raw data into trusted datasets, with dbt modeling and Python. You will partner with Analytics, Product and Engineering to keep the data warehouse accurate and accessible.

The role requires 3+ years of production pipeline experience, hands-on SQL/Python, Snowflake/BigQuery/Redshift, and orchestration tools like Airflow or Dagster. Hybrid work with dog-friendly offices.