1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python or Go stack
Hiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnerships
Strong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs)
Proven ability to manage flexible planning, balancing dynamic priorities and deadlines
Excellent communication and collaboration skills, with the ability to partner effectively across teams and regions
An adaptable, structured mindset — able to prioritize effectively and stay grounded amid ambiguity and change
B1 or higher English level for effective communication with an international team
Experience implementing or maintaining services alongside SRE processes
Work experience in DWH and/or the banking/fintech sphere
Familiarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHub
Experience with data integration frameworks (e.g., Apache Kafka)
Knowledge of ETL tools (e.g., Airflow, DBT)
Experience with Kubernetes
Experience with Snowflake or Lake House architectures