Level: Senior

Job Field: BI, Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 4.782 € Gross/Month

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop and implement ETL/ELT pipelines on the Databricks platform, optimize data processes, and create interactive dashboards while collaborating closely with Data Scientists.

Job Technologies

Your role in the team

Development and implementation of data products on the Databricks platform.
Design and implementation of ETL/ELT pipelines for large data volumes.
Creation of interactive dashboards (e.g., with Streamlit) on Posit Connect.
Integration and operationalization of machine learning models (optional, depending on the project and skill profile).
Collaboration with data scientists, analysts, and business units for requirements analysis.
Ensuring data quality, security, and documentation.
Performance optimization of data processes and queries.
Support in the further development of data architecture and strategy.

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Our expectations of you

Education

Completed degree in Computer Science, Data Engineering, Business Informatics, Mathematics, Electrical Engineering, or a comparable technical field.
At least 4 years of relevant professional experience with a master's degree or at least 6 years of relevant professional experience with a bachelor's degree, ideally in the field of (Cloud) Data Engineering.

Qualifications

Very good SQL skills including performance optimization.
Software Engineering Basics (e.g., Unit Testing; Branching, etc.).
Know-how in Spark performance optimization.
Knowledge of the Delta Live Table Framework.
Willingness to take ownership of technical implementations.
Guidance & Technical Sparring Partner for Juniors.
Knowledge of data models in the energy industry (e.g., CGMES / CIM).
Knowledge of Splunk.
Familiarity with agile project management (Scrum/Kanban).

Experience

Extensive experience in ETL/ELT development with Python & PySpark.
Experience with dashboard development (Streamlit, Shiny, PowerBi, Databricks Dashboards).
Experience with Azure Cloud.
CI/CD experience in the software/data engineering environment.
Experience with Databricks Asset Bundles.
Machine Learning experience (including deployment of ML models).
Experience in Data Governance.
Experience with JIRA.