Business Intelligence Data Engineer (m/f/d)

iiM AG; Suhl; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work-Life Balance: 35-hour week

Long-term secure workplace

Personal development & training

Competitive salary & pension

Private health insurance options

Bike leasing program

Descripción de la vacante

iiM AG is seeking a Data Engineer – Business Intelligence to design and implement scalable BI capabilities in Germany, preferably Suhl. You will build robust data pipelines integrating ERP, Salesforce, and other systems into an Azure data platform to support trusted reporting and decision-making.

You will lead data consolidation, establish a unified enterprise data model, and develop ETL/ELT processes while ensuring data quality and governance across global units.

Formación

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Business Analytics or related discipline.
• Minimum 5 years’ experience in Business Intelligence, Data Analytics, Data Engineering or related fields.
• Experience working with global manufacturing, technology or engineering environments preferred.
• Fluent German and English language skills required.

Responsabilidades

• Design, build, and maintain scalable data pipelines integrating ERP, Salesforce, and other enterprise systems into an Azure data platform.
• Lead data consolidation to establish a unified enterprise data model.
• Develop ETL/ELT processes using Azure-native tools.
• Implement scalable data architectures for operational reporting and advanced analytics.
• Improve data quality, governance, and reporting by standardizing data.
• Identify data abnormalities and loading issues timely.
• Global responsibility across Exaktera units and sites (Germany, Ireland, UK, USA).

Conocimientos

SQL

Python

ERP integration

CRM integration

German fluency

English fluency

Educación

Bachelor or Master in Data Science / CS

Herramientas

Azure Data Platform

ETL tools

Salesforce

Descripción del empleo

Responsibilities

The Data Engineer – Business Intelligence is responsible for developing and establishing a scalable Business Intelligence capability to support global business growth and decision-making. This position will be based in Germany, with a preference for the Suhl location.
This role will be responsible for designing, building, and maintaining scalable data pipelines, integration frameworks, and modern data solutions that enable trusted reporting, analytics, and business decision-making. The ideal candidate combines strong technical expertise in Azure data services with hands-on experience integrating ERP and CRM platforms.

• Design, develop, and maintain robust data pipelines that integrate data from ERP (BC/ Timeline), Salesforce, and other enterprise applications of existing business units and potential future acquisitions into a centralized Azure data platform.
• Lead data consolidation initiatives to establish a unified and consistent enterprise data model.
• Develop and manage ETL/ELT processes using Azure-native tools and integration technologies.
• Implement scalable data architectures that support both operational reporting and advanced analytics requirements.
• Optimize data ingestion, transformation, and storage processes to ensure performance, reliability, and scalability.
• Improve data quality, governance and reporting processes by establishing consistent data standards.
• Systematically and timely identify data abnormalities and data loading issues
• Global responsibility across all Exaktera business units and sites (Germany, Ireland, UK and USA).

Your Job Profile

Education:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Business Analytics or related discipline.
• Minimum 5 years’ experience in Business Intelligence, Data Analytics, Data Engineering or related fields.
• Experience working within a global manufacturing, technology or engineering environment preferred.
• Experience developing analytics solutions supporting senior leadership decision-making.
• Experience working with complex datasets and multiple business systems.
• Fluent German and English language skills required.

Technical Skills

• Strong SQL knowledge and experience with data extraction and transformation.
• Experience with Azure Data Platform or similar systems.
• Experience integrating data from ERP, CRM, HRIS or manufacturing systems.
• Knowledge of Python, R, AI or machine learning techniques desirable.
• Understanding of data governance and data quality principles.

Soft Skills / Competencies

• Strong analytical thinking and problem-solving capability.
• Strong communication skills.
• Ability to influence stakeholders through fact-based recommendations.
• Commercial mindset with understanding of business drivers.
• Self-motivated and capable of working independently.
• Strong collaboration skills across international teams.
• High attention to detail and commitment to data accuracy.
• Ability to manage competing priorities and deliver within agreed timelines.

Benefits

• Work-Life Balance: We offer a 35-hour work week with a flexible working time model, allowing you to manage your own schedule.
• Well-being & Job Security: Enjoy a modern and secure long-term workplace where you can work with a high level of autonomy and responsibility.
• Personal Development: Take advantage of free coaching sessions and training opportunities to support your professional growth.
• Compensation & Retirement Benefits: Receive an attractive salary and benefit from a company pension scheme.
• Benefits Allowance or Private Health Insurance: Choose between monthly tax-free benefits in the form of shopping vouchers, supplementary private health insurance (BKV), or a Deutsche Bahn Job Ticket.
• Fitness & Sustainability: Make use of our bike leasing program and commute to the office by bicycle.
• Team Spirit: Enjoy a positive, supportive, and inspiring team atmosphere every day.
• Events & Activities: Join our team events, hiking trips, sports activities, BBQs, and much more.