Business Intelligence Data Engineer (m/f/d)

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 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.