Data Platform Engineer: Build Reliable Data Tools

Finnair Plc; Vantaa; On-site; EUR 80,000 - 110,000; Full time

Job summary

Finnair Plc in Vantaa, Finland seeks a Data Platform Engineer to design reliable data tools for customer, commercial, and operational domains. You will help lead architecture, ingestion, transformation, and workflow orchestration across data domains.

You will collaborate with data engineers, drive standardization, and explore new tech to improve reliability, security, and performance while enabling faster data delivery and cost efficiency.

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.

Responsibilities

• Design reliable, secure, and user-friendly data tools for Finnair’s customer, commercial, and operational domains.
• Lead architecture, infrastructure, and tooling development of Data Warehouse, Data Ingestion & Transformation Tools, and Workflow Orchestration.
• Collaborate with data engineers on shared practices and tooling across data domains.
• Democratize data engineering and analytics work with easy-to-use tools and automation.
• Standardize patterns for ingesting, transforming and orchestrating data to improve reliability and security.
• Investigate new technologies and optimize data flows for faster delivery and cost efficiency.

Skills

Data engineering

Data platform development

AWS

Snowflake

dbt

Airflow

Python

SQL

Change management

Communication

Tools

PowerBI

CDK (Typescript)

Spark (Scala)

Lambda

Job description

Finnair Plc in Vantaa, Finland seeks a Data Platform Engineer to design reliable data tools for customer, commercial, and operational domains. You will help lead architecture, ingestion, transformation, and workflow orchestration across data domains.

You will collaborate with data engineers, drive standardization, and explore new tech to improve reliability, security, and performance while enabling faster data delivery and cost efficiency.