Business Intelligence Data Engineer

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 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).

• 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.

• 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.