| Decision-Making | Responsible for consolidation, integration, and optimization of enterprise data across our ERP, Salesforce (SFDC), and other business systems within the Microsoft Azure ecosystem. Works independently within agreed project scope and influences business decisions through analysis and recommendations. |
Role Purpose
| Short description of why this role exists (3-4 sentences) | 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 |
Responsibilities
| Main tasks (5-8 bullet points) | 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 |
Scope of Role
| Area of Responsibility (e.g. region, business unit) | Global responsibility across all Exaktera business units and sites (Germany, Ireland, UK and USA). |
| Impact (operational / strategic) | Strategic and operational impact. Enables leadership teams to make faster, data-driven decisions through improved visibility, analytics and forecasting capability. |
| Budget Responsibility (if applicable) | No direct budget responsibility. Responsible for optimizing data ingestion, transformation, and storage processes. |
Interfaces
| Key Internal Interfaces | Executive Leadership Team, Finance, Sales, Marketing, Operations, Manufacturing, HR, IT, Site Leadership Teams, Business Unit Leaders |
| Key External Interfaces | External technology providers, BI consultants, software vendors and system integration partners. |
Requirements – Technical / Professional
| Education / Experience | 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. |
Requirements - Behavioral
| 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. |
Performance
| Key Performance Indicators (KPI’s) | Reliable integrations between ERP, Salesforce, and other business application database systems. Improve data quality, consistency, and accessibility across the organization. Enable faster and more scalable reporting and analytics solutions. Contribute to the development of a modern Azure-based enterprise data platform. Partner effectively with business and technology teams to drive data-driven decision-making. Reduction in manual reporting activities. |