Data Engineer

at  Finnair Oyj

Finnair is a diverse community of professionals who work ambitiously with a big heart and commitment. We cherish our strong safety culture, never taking it for granted, and courageously and determinedly keep sustainability at the core of our everyday work. We find meaning in our purpose: to enrich lives by bridging the world, and our identity and service mindset stems from our iconic brand’s Nordic heritage. Our values - Commitment to care, Working Together, Simplicity and Courage - guide us in everything we do.
Digital services are at the very core of the renewed Finnair strategy. The role of digital services is increasing, be it in ensuring smooth and reliable operations, distributing and retailing our product offering, providing our people with state-of-the-art tools to do their work or making the customer journeys easy and enjoyable.

DEPENDING ON YOUR EXPERIENCE AND PROFILE, YOUR RESPONSIBILITIES IN THIS ROLE WILL INCLUDE:

• Developing data pipelines and data solutions, such as data models and data marts, for various use-cases.
• Analysing content, quality, and lineage of the datasets under development.
• Proactively working together with team members, data platform team and business stakeholders to make the most out of the data available to us.
• Documentation: contributing to common documentation on architecture, working principles, owning the solution description documentation.
• Exploration of new technology and tools: regularly checking what are the current options, latest versions, etc. to ensure efficiency and reliability.
• Continuous improvement of practices: increasing productivity and optimizing the use of resources.
• Representing People & Common Solutions team in data platform transformation project including technical data solution design

AN IDEAL CANDIDATE FOR THIS ROLE WILL HAVE:

• Analytical, business minded, and a proactive and independent working style.
• Capacity to translate business needs to technical requirements.
• Hands on experience in the AWS environment with services like S3, Lambda, Glue, EMR, SQS, Kinesis, Airflow, Python, Spark, etc.
• Hands on experience with SQL, Snowflake, dbt and dimensional modelling methodology.
• Experience in building and automating data pipelines for batch processing and streaming.
• The experience of working with employee and financial data (SAP data specifically) and understanding of employee data compliance is seen as an advantage.
  If you are up for the challenge and excited to work in the world of aviation and travel, please leave your application with salary request by 29.4.2024 at the latest.