Senior Data Engineer, Data Platform — Hybrid & Equity

Smartly; Helsinki; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inclusive culture

Global impact

Wellbeing support

Equity options

Flexible hybrid workspace

Descripción de la vacante

Smartly in Helsinki is seeking a Senior Data Engineer to join the Data Platform. You will build and operate pipelines to move data into BigQuery, shape datasets, and optimize performance and cost.

You will work with a cloud-stack including Google Cloud, BigQuery, dbt, and Airflow, delivering dependable datasets across product analytics and business decisions. This role offers flexibility with a hybrid work model and opportunities to impact data reliability and cost.

Formación

• Experience building data warehouses from ingestion to publishing data products.
• Strong SQL and Python skills, with a track record of writing clear, maintainable code.
• Solid understanding of data storage and warehouse design, including how structure, volume, access patterns, retention affect reliability, performance, cost and data modelling.
• Experience developing and supporting Airflow workflows or similar orchestration tool.
• Practical dbt experience, including models, tests, documentation, and version-controlled deployment workflows.
• Experience with solving production issues in data warehouse.
• Clear written and spoken English, and the ability to work effectively with engineers and analysts.

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, from source-aligned staging models to curated warehouse datasets. Add tests and documentation, and support version control and deployment checks.
• Design practical storage patterns across Cloud Storage and BigQuery, considering formats, data grain, partitioning, clustering, retention, lifecycle, 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, supportable, and safe to extend.
• Work with analytics, product engineering, and platform colleagues 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 from source through downstream models, correct the root cause, and validate recovery.

Conocimientos

SQL

Python

Data modelling

English communication

Herramientas

BigQuery

Airflow

dbt

Cloud Storage

Google Cloud Platform

Kubernetes

Descripción del empleo

Smartly in Helsinki is seeking a Senior Data Engineer to join the Data Platform. You will build and operate pipelines to move data into BigQuery, shape datasets, and optimize performance and cost.

You will work with a cloud-stack including Google Cloud, BigQuery, dbt, and Airflow, delivering dependable datasets across product analytics and business decisions. This role offers flexibility with a hybrid work model and opportunities to impact data reliability and cost.