Senior Data Engineer - Hybrid, Equity & BigQuery Pipelines

AItoolnavio; Helsinki; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Inclusive culture

Global impact

Wellbeing & holidays

Equity options

Flexible hybrid work

Job summary

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

Our stack includes Google Cloud, BigQuery, dbt, Airflow and Python. You will collaborate with Product Analytics, BI, product engineering, and data-platform engineers to improve reliability, performance, and cost efficiency.

Qualifications

• Professional experience on building data warehouses starting from data ingestion and landing 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 structure, volume, access patterns, retention, and cost.

Responsibilities

• 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 storage patterns across Cloud Storage and BigQuery, considering formats, partitioning, clustering, 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, 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 to address data problems early.
• Investigate pipeline failures and data discrepancies, correct root causes, and validate recovery.

Skills

SQL

Python

Data warehouse design

Airflow

dbt

Tools

BigQuery

Google Cloud

Cloud Storage

Kubernetes

PostgreSQL

Job description

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

Our stack includes Google Cloud, BigQuery, dbt, Airflow and Python. You will collaborate with Product Analytics, BI, product engineering, and data-platform engineers to improve reliability, performance, and cost efficiency.