Big Data Engineer / Senior Data Engineer
ACP doIT GmbH
Contact person: Jolene Kappis
Wien, Austria
ITAgile MethodologyBig DataData ArchitectureData GovernanceData IntegrationExtract Transform Load (ETL)Data WarehousingDimensional ModelingScrum MethodologySolution ArchitectureSQL DatabasesAzure Data FactoryApache SparkPySparkDatabricks
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
- 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.