Designing, building, automating and operating data platforms and data pipelines
Automating infrastructure, monitoring and recovery routines
Helping and guiding clients with a consultant mindset and interest in supporting sales
Collaborating with talented professionals such as data scientists, software developers, and designers
Requirements
A few years of work experience in data engineering
Experience on data stack on AWS (e.g. RedShift, Glue, Athena) or on Azure (e.g. Data Factory, Synapse, Databricks)
Solid know-how on building, deploying and orchestrating data infrastructure (e.g. serverless computation, Sagemaker, CI tools, Terraform, or similar tools)
Good understanding of databases (relational databases, document databases, key-value stores)
Practical software experience from a variety of projects
Python or Java experience
Appreciation for good communication with both the team and the clients
Fluent in Finnish and English
Strong interest in AI is considered a big plus
Tech Stack
Amazon Redshift
AWS
Azure
Java
Python
Terraform
Benefits
A hybrid work model that supports flexibility and collaboration
Free choice of work gear — laptop, phone, tablet, headphones, and more
Sports and lunch benefit
Comprehensive healthcare and additional health insurance
Futurice clubs and free-time activity groups
Learning events and internal communities
Certification programs to support your continued development