(Senior) Data Engineer

Finnair is a diverse community of professionals who work ambitiously with a big heart and commitment. A strong safety culture is our priority and at the core of our everyday work, never taking it for granted. We are committed to doing our share in solving the climate challenge by determinedly following our science-based pathway to decarbonize our operations. We find meaning in our purpose: With our heart in Finland, we make every journey better, today and tomorrow. Our values – Always Safe, Customer at Heart and Stronger Together– guide us in everything we do.

Your work will help Finnair leverage its domain-specific data in a standardized and secure manner. You will learn the different aspects of our customer, commercial, and operational landscape. You will use your technical expertise and work together with our data analysts, data scientists, business teams, and stakeholders to create data standards, processes, and tools that take Finnair’s understanding and utilization of data by both people and AI to the next level.
 

In our team, you get to:

• Do meaningful work in an interesting field developing our Data Solutions for Finnair’s business domains.

• Work with a large variety of modern Data Technologies, including  AWS, Snowflake, Airflow, DBT, and PowerBI.

• Work together with a team of passionate and talented Data Engineers, Data Analysts, and Data Scientists.

• Collaborate in an international team with talented, motivated people from around the world: we encourage working together and helping each other out, developing our ways of working and giving feedback in a positive manner.

From you, we wish:

• Solid experience in data engineering or data platform development.

• Technical mindset and engineering approach

• 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).

Our stack:

• Platforms: AWS, Snowflake, DBT, Alation, PowerBI

• AWS Analytical Services: S3, Lambda, SQS, SNS, ECS, Glue, EMR, Airflow (MWAA), EC2, EventBridge, Data Firehose, DynamoDB

• Technologies: CDK (Typescript), Python, SQL, Spark (Scala)

• Data Model: Dimensional Modeling, OBT

Why Join Finnair?

At Finnair,

• You become part of One Crew working together to make every journey better — today and tomorrow.

• Our values — Always Safe, Customer at Heart, and Stronger Together — guide how we work, make decisions, and support each other every day.

• We offer meaningful work with real impact, where your contribution helps shape the future of aviation, digital services, and sustainable travel.

• Collaboration, trust, and respect are part of everyday work, and people are encouraged to take ownership and grow.

• You’ll join a community where diverse perspectives are valued, continuous learning is supported, and development happens together — not alone.

Are you interested? Get onboard! Please submit your application with your CV, cover letter and salary expectation no later than Sunday 24 May 2026.

Please note that the hiring process includes a pre-employment security clearance and a drug test.

In case you have any questions about the role, please contact Jouni Hätinen (Director, Cloud, Integration & Data Platforms) by phone +358 50 494 0168 on the specified hours stated below (GMT +03:00):

• Wednesday, 13 May between 4pm to 5pm

• Wednesday, 20 May between 4pm to 5pm

Please note that we do not process applications submitted via email.

Our people are key to our success and the foundation that makes Finnair unique. We are committed to creating a safe work environment where all our people can thrive and succeed. We cherish diversity and strive to employ people with different backgrounds and experiences, to bring together multiple views to foster our business success.  According to our employee survey, respecting diversity is at a high level in our work community. You are welcome to join Finnair as your authentic self.