Senior Data Engineer

Areas of responsibilities

Lead data-related technical and business projects:

• Design solution architecture.
• Create and manage implementation plan.

Manage data:

• Support, optimize and develop data warehousing. They work with MySQL, NoSQL (MongoDB), google cloud (Firestore, Bigquery, Storage), AWS, and other instruments), many CRM's and API's (both internal and external).
• Manage data workflows: ETL (especially for BI), python scripts.
• Ensure data quality & work with our development team on missing/incorrect data & process optimization.
• Use & develop internal APIs (REST).

Support the analytics team:

• Participate in complex automation/ research / modelling projects.
• Establish standards.
• Review code, share expertise, train & educate.

Job requirements

• At least 3 years of experience with Python and data-centered business projects.
• Experience as a Python developer or a data analyst / scientist.
• Basic knowledge of deployment, Docker, Git (gitflow).
• Knowledge of how to use Jira, Confluence, Github, Slack.
• Hands-on experience with BI.
• Technical background (preferably a degree in mathematics / physics / engineering).

They offer

• Full-time remote job. Though you’re always welcome to spend time in the office in Helsinki.
• Paid Vacation. Take the time you need to stay motivated, charged, and balanced. By prior agreement, you can have days off for special occasions.
• Paid Corporate Meet-ups. They get together twice a year at various locations (St.Petersburg, Moscow, Helsinki, Riga etc.) to work and spend time together offline. They pay for your accommodation, flight, lodging, and other business travel expenses.
• They are also passionate about professional development and always invest in education for team members.
• You’ll have executive-level visibility into how the company is run and performing.
• They are always ready to provide dedicated support and fast-track your on-boarding, give you the tools you need to be successful.

Hiring process

• HR.
• Head of Analytics.
• Short test task.
• Final interview with Head of Analytics.