Senior Data Engineer
Xenon Seven
AWSCloudPython
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudPythonSQL
About the role
- Design and guide development of modern, cloud-native data platforms that are scalable, secure, and future-proof.
- Work closely with business stakeholders, data engineers, and development teams to understand goals and translate them into data platform solutions.
- Define architectural vision, set standards, and ensure seamless data flows across the organization.
- Guide and mentor teams, help solve challenges in data pipelines, governance, and operations.
- Combine strategic thinking with practical action: align architecture with everyday decisions to deliver real outcomes.
- Work on modern data and AI initiatives—from real-time pipelines to GenAI applications and enterprise ML platforms.
- Build solutions using tools like Azure, AWS, Databricks, and Snowflake.
Requirements
- Strong background in data engineering or architecture, with several years of experience in designing and implementing large-scale data solutions.
- Proven skills in building data platforms on cloud environments (Azure or AWS), and familiarity with tools such as Databricks, Snowflake, or similar.
- Ability to define architectures, patterns, and best practices for data pipelines, governance, and platform operations.
- Hands-on coding experience with Python and SQL, plus understanding of DevOps practices, CI/CD, and infrastructure-as-code.
- Knowledge of data governance, security, and compliance in enterprise environments.
- Communication skills to work smoothly with both business stakeholders and technical teams.
- Fluent in Finnish and English.
