Big Data Engineer / Senior Data Engineer

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Duration: 12 months+ | Start: 11/2026 | Remote: 20%

Beschreibung

IT
Agile Methodology
Big Data
Data Architecture
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Warehousing
Dimensional Modeling
Scrum Methodology
Solution Architecture
SQL Databases
Azure Data Factory
Apache Spark
PySpark
Databricks
Description

We are looking for a Big Data / Senior Data Engineer to support the onboarding of Corporate EBOe onto an enterprise Controlling Analytical Platform.
The platform provides analytical and management-reporting capabilities, with data processing and data products developed in Databricks. The engineer will take ownership of data integration, analytical data structures and scalable transformation pipelines while working closely with business analysts, reporting developers, architects and platform teams.

Responsibilities
Design and develop ETL/ELT processes in Databricks
Analyze source systems and define suitable integration approaches
Develop and maintain analytical data models and data marts
Build scalable transformation pipelines using Apache Spark / PySpark
Ensure data quality, consistency and performance
Support testing, deployment and production activities
Work with business stakeholders to understand data requirements
Contribute to solution architecture and implementation decisions
Troubleshoot and resolve data-related issues
Must-Have Skills
5+ years of relevant experience at Senior Consultant level
Strong hands-on Databricks experience
Advanced SQL
Strong Spark / PySpark development skills
Experience designing and building ETL/ELT solutions
Strong knowledge of data warehousing and dimensional modelling
Strong analytical and problem-solving capabilities
Experience working within Agile/Scrum teams
Nice-to-Have Skills
Experience in banking, financial services or controlling
Knowledge of management reporting and analytical platforms
Experience with enterprise-scale data ecosystems
Understanding of data governance and data quality frameworks
Technology
Azure Databricks | Databricks | Apache Spark | PySpark | SQL | ETL/ELT | Data Warehousing | Data Modelling | Dimensional Modelling | Data Quality | Data Governance | Big Data Analytics

Project Details
Workload: 160 hours/month
Location: Vienna, Austria
Working model: Hybrid
On-site: Approx. 1 day/month
Language: English
Start Date: 9 November 2026
Extension: Possible
Duration: 12 months, possible extension

Application
If you have a strong background in Databricks, Spark/PySpark and SQL and have delivered enterprise-scale data engineering solutions, we look forward to receiving your profile.
Please include your availability, hourly/day rate and relevant project experience, particularly projects involving Databricks, data warehousing, ETL/ELT and financial or controlling environments.