Senior Data Engineer(m/w/x)

Description

You will drive the data evolution by building a modern platform and pipelines. From mentoring the team to leading AI initiatives, your work ensures data is a powerful, self-service asset.

Requirements

• •Experience handling complex data sets
• •5+ years data engineering experience
• •3+ years SQL and PySpark experience
• •Experience implementing modern data platforms
• •Experience with AWS Data Engineering
• •Valued experience with MSSQL Stack
• •Experience with Kafka or Snowflake
• •Practical application of AI tools
• •Professionalism and team collaboration skills
• •Experience with multicultural collaboration
• •Experience with web tracking tools
• •Experience in Fintech or Insurtech
• •Experience with machine learning
• •Experience with analytical approaches
• •Fluent English communication

Tasks

• •Design and implement a well-architected data platform
• •Utilize market-leading technologies like Databricks and Snowflake
• •Accelerate migrations from legacy systems to new platforms
• •Ingest and aggregate internal and external data sources
• •Build robust datasets and data pipelines
• •Develop data-powered products
• •Enable reporting and dashboarding through engineering support
• •Improve data analyst productivity and self-service capabilities
• •Collaborate with cross-functional tech teams on architecture
• •Drive excellence in engineering and planning
• •Mentor the data team on trends and best practices
• •Participate in machine learning and AI initiatives
• •Foster a productive and healthy team atmosphere

Tools & Technologies

Benefits