Aviation Data Platform Architect

Finnair Business Services oü; Vantaa; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

Finnair is seeking a Data Platform Engineer to join the Data and Platform Engineering team in Vantaa, Finland. You will design reliable, secure data tools across customer, commercial and operational domains while co-leading the architecture and tooling for the Data Warehouse and orchestration pipelines.

You will collaborate with data engineers to standardize ingestion/ transformation patterns, improve data reliability, and drive cost efficiency through smart design choices.

Qualifications

• Solid experience in data engineering or data platform development.
• Experience in change management in a complex technical environment.
• Interest in airline Industry.
• Excellent communication skills and positive mindset to work in a social, friendly and international team.
• Fluency in English, both written and spoken.
• Previous experience in at least some of our stack.

Responsabilités

• Design reliable, secure, and user-friendly data tools for Finnair's customer, commercial, and operational domains.
• Be a leader in architecture, infrastructure and tooling development of Data Warehouse, Data Ingestion & Transformation Tools, and Workflow Orchestration.
• Collaborate with data engineers on shared practices and tools across data domains.
• Unlock faster data delivery by addressing performance bottlenecks and bottlenecks.
• Standardize patterns for ingesting, transforming and orchestrating data to improve reliability and security.
• Create reusable tooling and promote engineering practices across teams.

Connaissances

Data engineering

Data platform development

Change management

Team collaboration

English fluency

Outils

AWS

Snowflake

dbt

Airflow

PowerBI

CDK/Typescript

Python

SQL

Spark/Scala

Description du poste

Finnair is seeking a Data Platform Engineer to join the Data and Platform Engineering team in Vantaa, Finland. You will design reliable, secure data tools across customer, commercial and operational domains while co-leading the architecture and tooling for the Data Warehouse and orchestration pipelines.

You will collaborate with data engineers to standardize ingestion/ transformation patterns, improve data reliability, and drive cost efficiency through smart design choices.