Mid to Senior Data Engineer

Scaletech GmbH; Wien; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Scaletech Platforms GmbH in Vienna is seeking a data engineer to design, build, and optimize data pipelines across on-premise and cloud environments. You will improve data platforms, ensure performance and scalability, and develop analytics-ready data models.

Responsibilities include implementing data quality frameworks, establishing data governance practices, and collaborating with cross-functional teams to translate requirements into concrete data solutions using SQL and Python on AWS/Azure

Qualifications

• 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 comparable platforms such 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 ability to collaborate with clients and cross-functional teams.
• Proficiency in English; German is a plus.

Responsibilities

• Design, develop and optimize data pipelines across on-premise and cloud environments.
• Enhance data platforms and optimize performance and scalability.
• Build and maintain data models optimized for analytics.
• Implement data quality frameworks for validation, testing, and monitoring.
• Establish best practices for data governance, ensuring data integrity and security.
• Collaborate with other data teams to translate requirements into solutions.

Skills

SQL

Python

Data warehousing

Cloud migration

Data modeling

Data governance

Communication

English

German language

Tools

Snowflake

Databricks

BigQuery

Redshift

AWS

Azure

Job description

• - 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.