Key skills
Amazon RedshiftAWSAzureJavaPythonTerraformAIData EngineeringRedshiftDatabricksServerlessGlueAthenaSageMakerCommunicationCollaborationSales
About this role
Role Overview
- Get a deep-dive into clients’ data
- 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
- Thorough local and global onboarding