BI & Data Engineer (m/w/d)
Montabaur, Rhineland-Palatinate, Germany · પૂર્ણ સમય
અરજી કરનારા સૌ પ્રથમ બનો
- અનુભવ
- ૨-૫ વર્ષ
- પગાર
- —
- ઓપનિંગ્સ
- 1
- પોસ્ટ કર્યું
- 9 કલાક પેહલા
- Work mode
- ઓફિસમાં
- શિક્ષણ
- Bachelor's degree
- Eligibility
- Professionals with a relevant university degree and 2 to 5 years of experience in data engineering, BI, or analytics are encouraged to apply. Candidates should be comfortable working on-site in Montabaur and collaborating with German-speaking teams and external partners.
- Resume
- Required to apply
Where you'll work
કામનું વર્ણન
About the role
At TERRAS, this position sits at the intersection of business teams and the data platform. Working closely with the AI & BI Manager, you will form the core data and analytics team. The role focuses on understanding the needs of subsidiary teams, translating those needs into dashboards, reporting, and data-driven solutions, and coordinating with external partners rather than acting as a pure delivery resource.
Your first assignment will be to partner with Gemma Analytics on building regional market-volume dashboards based on thousands of public tenders, providing market intelligence for leadership and investors.
Benefits
- Permanent employment contract from the start, with the intention of long-term retention.
- Performance-based compensation that reflects the value of your work.
- Friendly, young team environment with flat hierarchies, plus onboarding support from experienced colleagues and a dedicated contact person.
- Continuous learning support, tailored to individual interests and strengths.
- A secure full-time position with your own workspace and a mobile workstation.
Responsibilities
Your work will cover data platform development, business intelligence, and stakeholder coordination.
- Build and maintain data pipelines and data models in Snowflake, using ELT workflows with Airflow.
- Design the first TU data integration approach by bringing financial and project data from subsidiary ERP systems such as BRZ, RIB iTwo, BPS, and Sage into Snowflake.
- Ensure data quality, document data flows, and help establish a Data Governance framework.
- Design and deliver dashboards and KPI reporting in Power BI and Loyos for management, investors, and subsidiary companies.
- Carry out ad-hoc analyses and turn findings into actionable recommendations for leadership and specialist teams.
- Develop regional market-volume dashboards based on tender data in collaboration with Gemma Analytics.
- Work closely with teams across more than 20 subsidiaries to identify data needs and possible use cases.
- Coordinate external partners such as Gemma Analytics and CommaSoft on data engineering and software projects.
- Present results and recommendations to stakeholders and senior leadership.
- Visit subsidiary locations in person from time to time.
Requirements
Applicants should have a relevant academic background and experience in data, BI, or analytics, along with strong technical and communication skills.
- A completed degree in Data Science, Computer Science, Business Informatics, Mathematics, Statistics, or a similar discipline.
- 2 to 5 years of professional experience in Data Engineering, BI, or Analytics.
- Excellent Python and SQL skills.
- Hands-on experience with Snowflake or a similar cloud data warehouse such as BigQuery, Redshift, or Databricks.
- Experience building data pipelines and working with data modeling concepts.
- Experience with at least one BI tool such as Power BI, Tableau, Metabase, or Looker.
- The ability to explain technical topics clearly to non-technical colleagues.
- A proactive, hands-on mindset with the ability to identify, drive, and implement use cases independently.
- Very good German and good English language skills.
Preferred qualifications
- Experience with Power BI, which is the main visualization tool.
- Knowledge of Apache Airflow, dbt, or similar orchestration and transformation tools.
- Experience managing external service providers or development partners.
- Background in machine learning or statistical modeling.
- Industry knowledge in construction or real estate.
- Practical experience using LLMs and AI tools in daily work.
Tech stack
The environment includes Snowflake, Apache Airflow, Python, SQL, Power BI, Loyos, Microsoft Azure, Claude, ChatGPT, Gemini, Monday.com, and Microsoft 365.
Additional information
The company is looking for motivated people who want to help shape the infrastructure projects of tomorrow. A perfect résumé is less important than the drive to make an impact.