Senior Data Engineer

ib vogt GmbH
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Airflow
Data analysis
Azure
Google BigQuery
Information Engineering
Data Governance
ETL
Data Transformation
Data Warehousing
DevOps
Supervisory Control and Data Acquisition (SCADA)
Python
Meta-Data Management
Queueing Systems
SharePoint
SQL Databases
Data Streaming
Unstructured Data
Digital Twin
Azure
Office365
Snowflake
Containerization
Data Lake
Kubernetes
Information Technology
Kafka
Azure
Data Pipelines
Docker
Databricks

Job description

The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines that form the backbone of ib vogt's Digital Twin and AI-driven data platform. The role ensures the seamless flow, integration, and transformation of data across the organization-from project development and EPC to O&M operations-enabling data-driven insights and automation.

  • Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
  • Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
  • Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
  • Implement data quality checks, validation rules, and metadata management according to the company's data governance framework
  • Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
  • Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
  • Maintain clear documentation of data flows, schemas, and operational processes

Requirements

Do you have experience in SharePoint?, * Degree in Computer Science, Data Engineering, or related field

  • 5+ years of experience in data engineering or similar roles, experience in renewable energy, engineering, or asset-heavy industries is a plus
  • Strong experience with modern data stack (e.g., PowerPlatform. Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
  • Proficiency in Python and SQL for data transformation and automation
  • Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
  • Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
  • Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
  • Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
  • Team-oriented approach and excellent communication skills in English

Benefits & conditions

  • Opportunity to shape the data foundation of ib vogt's digital transformation journey
  • Work on cutting-edge data platforms supporting real-world renewable energy assets
  • A truly international working environment with colleagues from all over the world
  • An open-minded, collaborative, dynamic, and highly motivated team
  • Competitive remuneration and motivating benefits

About the company

Established in 2002, ib vogt GmbH is a leading utility-scale solar development platform with a global footprint and a 20-year track record. We specialize in the Development, Design and Engineering, Financing, EPC and Operation of solar power and provide turnkey solar power plant solutions to investors internationally. Since 2009, ib vogt has commissioned plants with a capacity of over 3 Gigawatts. We employ 900 experts, in all areas of the solar power plant value chain in over 30 countries. The company operates internationally from offices across Europe, North America, Asia Pacific and Africa.

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