Senior Data Engineer: AI-Powered Data Pipelines in BigQuery

Moventas Wind Ltd; Helsinki; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Occupational healthcare

Company car benefit

Sports and culture support (Epassi)

Job summary

Elisa is seeking a Senior Data Engineer to join the Data Modeling and Delivery team and lead data model and pipeline development on cloud platforms. The role emphasizes translating business needs into reliable data solutions and shaping AI-enabled development practices.

The position offers a hybrid work model with office days in Finland and occasional travel to the Helsinki HQ, working across multiple business domains and collaborating with stakeholders.

Qualifications

• Strong experience with modern data engineering or data warehouse modeling.
• Proficiency in Python/SQL; other languages are a plus.
• Practical development experience on major cloud platforms (GCP, AWS, Azure).
• Ability to implement IaC (Terraform) and CI/CD pipelines.
• Knowledge of GCP Cloud Composer (Airflow).
• Familiarity with data processing frameworks (Dataflow, Datastream).
• Interest in AI-assisted development and AI tooling in data engineering.

Responsibilities

• Design, build and own data models and pipelines in BigQuery and Cloud Composer from requirements to production.
• Make design decisions and set team standards for modeling, testing, and documentation.
• Translate business needs into reliable data solutions with domain knowledge.
• Continuously improve data operations and review code with the team.
• Explore and promote AI-assisted development within the team.

Skills

Python/SQL

BigQuery

Airflow

Cloud platforms

Data modeling

Terraform

AI tooling

English communication

Tools

GCP Cloud Composer

Google Cloud Platform

Job description

Elisa is seeking a Senior Data Engineer to join the Data Modeling and Delivery team and lead data model and pipeline development on cloud platforms. The role emphasizes translating business needs into reliable data solutions and shaping AI-enabled development practices.

The position offers a hybrid work model with office days in Finland and occasional travel to the Helsinki HQ, working across multiple business domains and collaborating with stakeholders.