Mid to Senior Data Engineer
Vienna, Austria / Full-time
Tasks you'll do
- Design, develop and optimize efficient data pipelines to streamline processing and integration across on-premise and cloud environments
- Enhance data platforms and take ownership of optimizing performance and scalability within a data platform
- Build and maintain data models optimised for analytical performance
- Implement data quality frameworks for validation, testing, and monitoring
- Establish best practices for data governance, ensuring data integrity and security
- Collaborate closely with other data teams to understand their requirements and translate them into actionable solutions
Required skills
- 5+ years of experience in data engineering or a similar role
- Strong proficiency in SQL and Python with experience in data warehousing and cloud migration projects
- Experience with Snowflake or a comparable platform as Databricks, BigQuery or Redshift
- Hands-on experience with AWS or Azure cloud platforms
- Knowledge of ETL processes, data modeling, and data governance
- Excellent communication skills and the ability to collaborate effectively with clients and cross-functional teams
- Proficiency in English, German is a plus
Nice to have
- Experience with machine learning
- Experience building dashboards in Superset, Power BI and/or Tableau
- Experience with financial data, SAP ERP systems, or the banking sector
We don't complicate the hiring process
Application review
We read every application ourselves and get back to you either way.
First interview
A 30-minute call about your experience, what you want to work on, and what we do.
Assigment
A short task close to the work here. No trick questions, no weekend lost.
Technical interview
You walk us through your solution and we talk how you think about data problems.
Welcome onboard
Offer, paperwork, and your machine ready before your first day.
Apply now
based in Vienna, AUSTRIA