Senior Data Platform Engineer | Hybrid + Equity Options

Smartly.io; Helsinki; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inclusive global culture

Global impact through technology

Wellbeing support

Equity options

Flexible hybrid workplace

Descripción de la vacante

Smartly is seeking a Senior Data Engineer to join the Data Platform team in Helsinki. You will build and operate data pipelines from product and business systems into BigQuery, shaping dependable datasets used across the company.

The role covers ingestion, storage, orchestration, modelling, and operations with Google Cloud, BigQuery, dbt, Airflow, and Python. You will collaborate with Product Analytics, BI, product engineering, and platform engineers to make data discoverable, trusted, and

Formación

• Experience building data warehouses from ingestion to publishing data products.
• Strong SQL and Python; write clear, maintainable code.
• Solid understanding of data storage, warehouse design, and cost implications.
• Experience developing and supporting Airflow workflows or similar orchestration tool.
• Practical dbt experience with models, tests, documentation, and version-controlled deployment workflows.
• Experience solving production issues in data warehouse.
• Clear written and spoken English.

Responsabilidades

• Build and operate batch and incremental ingestion pipelines in Google Cloud to Smartly Data Platform.
• Develop Airflow workflows using Python with best orchestration practices, including dag dependencies, retries, backfills, alerting, and recovery.
• Build and maintain dbt transformations, with tests and documentation, and support version control and deployment checks.
• Design practical storage patterns across Cloud Storage and BigQuery, considering formats, grain, partitioning, retention, and access controls.
• Improve data warehouse performance and cost through ongoing query and storage optimization.
• Document data flows and operational practices so pipelines are understandable and extendable.
• Collaborate with analytics, product engineering, and platform teams to clarify requirements and deliver dependable datasets.
• Monitor freshness, completeness, volume, and schema changes so data problems are visible and addressed early.
• Investigate pipeline failures and data discrepancies, correct root causes, and validate recovery.

Conocimientos

SQL

Python

Data warehousing concepts

Airflow

dbt

Production issue resolution

English communication

Herramientas

Airflow

dbt

Descripción del empleo

Smartly is seeking a Senior Data Engineer to join the Data Platform team in Helsinki. You will build and operate data pipelines from product and business systems into BigQuery, shaping dependable datasets used across the company.

The role covers ingestion, storage, orchestration, modelling, and operations with Google Cloud, BigQuery, dbt, Airflow, and Python. You will collaborate with Product Analytics, BI, product engineering, and platform engineers to make data discoverable, trusted, and