About this role
- Tableau Frontend BI Professionals
Own business-facing delivery, storytelling, and stakeholder communication. - BI Full Stack Developer (this role)
Own technical integration, data reliability, and cross-layer BI decisions. - Data Engineers
Own raw data ingestion, core pipelines, and platform-level engineering.
- Young & supportive team - in a fast-growing international business environment
- Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs
- Hybrid working - 50% Office, 50 % Home Office with flexible working hours
- Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
- Medicover Spring White Package- from the first day of employment
- Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
- Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
- Live an active lifestyle – activate your AYCM pass
- Validate analytical datasets in Databricks to ensure correctness, consistency, and readiness for BI consumption.
- Test data reliability across different sources, refresh cycles, and edge cases.
- Design and implement SQL-based transformations for analytical datasets.
- Consolidate data from multiple sources into BI-ready datasets optimized for Tableau consumption.
- Use Python for automation and backend BI workflows, such as: PySpark-based data processing, dbt models and tests, Dagster-based orchestration.
- Reduce manual BI workload through automation, monitoring, and repeatable processes.
- Advise Tableau Frontend BI Professionals on:
- Which datasets and tables to use for specific analytical use cases
- How to structure queries and filters for performance and scalability
- Act as a technical reviewer for BI use cases before and during frontend development.
- Collaborate closely with Data Engineers and BI Frontend professionals throughout the BI delivery lifecycle.
- Contribute to BI technical standards, continuous improvement, documentation, and best practices.
- Intermediate/Advanced SQL (complex joins, aggregations, case logic, window functions, etc).
- Hands-on experience validating and working with analytical data in Databricks or other cloud-based platforms.
- Solid understanding of analytical data modeling and how Tableau consume data.
- Practical experience using Python for data processing or automation.
- Familiarity with tools and frameworks such as PySpark, dbt, Dagster, or similar.
- Ability to design backend BI solutions with frontend performance and usability in mind.
- Experience with Delta Lake, Unity Catalog, or Databricks SQL.
- Experience with Tableau/Power BI dashboards.
- Familiarity with data governance, testing, or monitoring practices.
- Familiarity with version control (git init, git add, git commit, git push, git pull, git checkout).
Other facts
About INNIO
INNIO Group is a leading energy solution and service provider that empowers industries and communities to make sustainable energy work today. With its Jenbacher and Waukesha product brands and its AI-powered myplant digital platform, INNIO Group offers innovative solutions for the power generation and compression segments that help industries and communities generate and manage energy sustainably while navigating the fast-changing landscape of traditional and green energy sources. INNIO Group is individual in scope, but global in scale. With its flexible, scalable, and resilient energy solutions and services, INNIO Group enables its customers to manage the energy transition along the energy value chain wherever they are in their transition journey.
INNIO Group is headquartered in Jenbach (Austria), with other primary operations in Waukesha (Wisconsin, U.S.) and Welland (Ontario, Canada). Through a service network in more than 100 countries, a team of more than 4,000 experts provides life-cycle support to the more than 57,000 engines that INNIO Group has delivered globally.
INNIO Group's ESG strategy has been recognized and awarded by esteemed rating agencies such as Sustainalytics and EcoVadis. Additionally, the company’s near-term climate targets until 2030 have been validated by the Science Based Targets initiative (SBTi).
For more information, visit INNIO Group’s website at innio.com
Interested in working for us? Find out more here: careers.innio.com/en
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If you have any concerns, please contact us via [email protected]
What you'll do
- The BI Full Stack Developer will validate analytical datasets in Databricks and ensure data reliability across different sources. They will also design SQL-based transformations and enable automation using Python.
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