Data Platform Engineer: Architect & Build Data Pipelines

Finnair; Vantaa; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Finnair is building a data-enabled culture in Vantaa, Finland, seeking a Data Platform Engineer to design reliable data tools for customer, commercial, and operational domains. You will help shape the architecture, infrastructure, and tooling for our Data Warehouse, Ingestion & Transformation pipelines, and Workflow Orchestration.

You will collaborate with data engineers to share practices across domains, improve data quality, and enable analytics and AI use cases while learning the full

Competenze

• 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 (see below).

Mansioni

• Democratize data engineering and analytics work by designing easy-to-use tools and automating manual work.
• Make our data flows more reliable and secure by standardizing the patterns for ingesting, transforming and orchestrating data.
• Deliver data faster by investigating new technologies and common performance bottlenecks.
• Be more cost-efficient by making smart design choices and reacting to anomalies.
• Encourage collaboration by sharing common engineering practices and reusable tooling across data domains.
• Create a strong foundation for Finnair’s future analytics and AI use cases.

Conoscenze

Data engineering

Data platform development

Change management

Airline industry interest

English fluency

Stack familiarity

Strumenti

AWS

Snowflake

dbt

Alation

PowerBI

CDK (Typescript)

Python

SQL

Spark (Scala)

Descrizione del lavoro

Finnair is building a data-enabled culture in Vantaa, Finland, seeking a Data Platform Engineer to design reliable data tools for customer, commercial, and operational domains. You will help shape the architecture, infrastructure, and tooling for our Data Warehouse, Ingestion & Transformation pipelines, and Workflow Orchestration.

You will collaborate with data engineers to share practices across domains, improve data quality, and enable analytics and AI use cases while learning the full