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1 Vacancy
Were looking for a hands-on Data Science Manager to lead and contribute directly to our small but highly impactful Data Science team. Youll be responsible for driving technical execution across data infrastructure data modeling BI ML and data operations while also managing a growing team and being the go-to expert for cross-functional data needs.
This is a role ideal for someone who loves building data products shaping architecture and mentoring talent - without stepping away from the code.
Lead the design implementation and optimization of our end-to-end data platform:
Data Warehouse (Snowflake)
Data ingestion from PostgreSQL MySQL APIs SFTP BigQuery etc.
Orchestration tools like Jenkins Mage and N8N
Data modeling using dbt (Dimensional & OBT)
ML model development and monitoring (e.g. scoring behavioral models)
Feature engineering and deployment
Own and manage our BI layer using Tableau
Lead DataOps workflows including both automated and manual data deliveries for:
Regulatory reporting
Merchant settlements
Financial closing and reconciliation
Champion best practices in data governance documentation and testing
Drive strategic initiatives around platform scalability and data architecture
Collaborate with stakeholders across Finance Risk Product IT and external vendors
Manage and mentor a growing data science & engineering team
Support recruitment onboarding and talent development within the team
Our Tech Stack: Airbyte Jenkins Mage N8N PostgresSnowflake GCP Github dbt
A place to grow and do meaningful work - We support you in developing your skills taking ownership of your projects and sharing ideas that improve the way we work.
Friendly and open culture - No dress codes no bureaucracy. Were a close-knit collaborative team that values transparency and agility.
Work where it suits you - Whether you prefer the office remote work or something in between were flexible.
Time for work time for life - Our 37.5-hour workweek helps you keep a healthy balance and energy for what matters outside of work.
Benefits youll actually use - MultiSport card fresh fruit in the office regular team events and at least 5 weeks of vacation per year etc.
Be part of something exciting - Twisto is growing in Europe and your work will directly contribute to that journey .
6 years of relevant experience in data engineering ML or analytics with at least 12 years in a tech lead or team lead role
Strong hands-on knowledge of:
Cloud data warehouses (preferably Snowflake)
Data ingestion tools (e.g. Airbyte Fivetran)
Orchestration frameworks (e.g. Mage N8N Airflow)
dbt and modern data modeling
ML lifecycle (training serving monitoring)
SQL and Python
Experience administering or supporting BI tools (Tableau preferred)
Ability to manage multiple stakeholders and cross functional teams
Comfortable navigating regulatory and compliance-related data requirements
Experience in a regulated environment (e.g. fintech banking)
Knowledge of regulatory reporting and financial data (PnL credit provisioning)
Experience deploying and monitoring ML models in production
Your application has been successfully submitted!
Required Experience:
Manager
Full-Time