Senior Data Engineer

  Ability to work effectively within cross-functional and Agile teams.
•    Strong analytical, problem-solving, and critical-thinking skills.
•    Experience working with US- and Europe-based clients, stakeholders, or team members is desired.
•    Clear written and verbal communication skills, including the ability to translate technical information for non-technical partners.
•    Strong organizational skills with attention to detail and documentation.
•    Ability to influence and collaborate across teams and geographies.
•    Demonstrated ownership, adaptability, and willingness to embrace new technologies.
•    Ability to understand and work across multiple technology stacks.

Your Background

-    7 + years of experience designing and developing SQL-based pipelines and data models.
-    Hands-on experience with Python for ETL/ELT development and automation.
-    Experience with Snowflake or other cloud data warehouses.
-    Experience with orchestration platforms such as Airflow, Dagster, or Prefect.
-    Experience with ingestion tools (Fivetran, Airbyte) is a plus.
-    Familiarity with APIs, JSON/CSV/XML/Parquet data formats, and cloud storage environments.
-    Understanding of CDC mechanisms, data governance, and security best practices.
-    Exposure to real-time or streaming ingestion (Kafka, EventHub) is beneficial.
-    Experience working in Agile environments and delivering iterative outcomes.
-    Ability to participate in and lead technical discussions.
-    Interest or exposure to AI/ML workflows is a plus.