Senior Data Engineer, Data Platform & Analytics

Gigs

Amsterdam

Hybrid

EUR 90,000 - 125,000

Full time

10 days ago

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Benefits offered by this job

Stock options
Home office stipend
Learning budget
Phone and international data plan

Job summary

Gigs is hiring a Senior Data Engineer to scale the data platform that underpins billing, product analytics, and finance. You’ll design data models, build end-to-end data pipelines, and collaborate with Finance, Network Integration, and Product to deliver trusted datasets.

You will work primarily with Python and SQL, leveraging Dagster, Terraform, and cloud data services across BigQuery, Snowflake, or Databricks. The role blends strong engineering with business impact in a hybrid work environment.

Qualifications

  • Designed and operated production data platforms.
  • Strong data modeling fundamentals.
  • Business-value driven decisions and pragmatism.
  • Comfort with ambiguity and driving to production.
  • Experience using AI tools in engineering workflows.

Responsibilities

  • Build systems turning usage and operational data into datasets for billing and analytics.
  • Operate the data platform and pipelines that power business use cases.
  • Integrate data from across the business into a single platform.
  • Define data models and set standards for scalable data systems.
  • Work with Python and SQL; use Dagster for orchestration.

Skills

Python
SQL
Data modelling
Cloud platforms
Dagster
Terraform
Airflow
Databricks
BigQuery
Communication

Tools

Dagster
Airflow
Prefect
Terraform
BigQuery
Snowflake
Databricks
dbt
Go
Ruby

Job description

Gigs is hiring a Senior Data Engineer to scale the data platform that underpins billing, product analytics, and finance. You’ll design data models, build end-to-end data pipelines, and collaborate with Finance, Network Integration, and Product to deliver trusted datasets.

You will work primarily with Python and SQL, leveraging Dagster, Terraform, and cloud data services across BigQuery, Snowflake, or Databricks. The role blends strong engineering with business impact in a hybrid work environment.

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