Senior Data Engineer (m/f/d) at ib vogt GmbH

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Data Pipelines, Python, SQL, APIs, Data Streaming, Cloud Environments, Data Governance, CI/CD, DevOps, Containerization, Data Modeling, Analytics, Problem Solving, Communication

Industry

Renewable Energy Semiconductor Manufacturing

Description

Company Description 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. 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 Qualifications 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 Additional Information 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 At ib vogt, we are committed to fostering a diverse, inclusive, and respectful workplace where everyone can thrive. We believe that embracing diverse perspectives drives innovation and helps us better serve the global communities we operate in. As an equal opportunity employer, we provide employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We strive to create an accessible recruitment process for all candidates and are happy to discuss reasonable accommodations to support your application. As a global company, we acknowledge that accessibility provisions may vary by location depending on local infrastructure and legal requirements. If you have a disability or require any adjustments during the recruitment process, please let us know - we will do our best to support you.

Responsibilities

The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines that support ib vogt’s Digital Twin and AI-driven data platform. This role ensures the seamless flow, integration, and transformation of data across the organization to enable data-driven insights and automation.