Lead Data Engineer

Purpose/Key Objectives:

• Design and deliver IT solutions that transform into a data-driven organization
• Continuously improve the Data Platform by improving data quality and implementing cloud services
• Develop modern data architecture for BI reporting, analytics, and advanced analytics using machine learning models
• Develop and implement an enterprise data governance structure and data management process
• Proactively identify new opportunities for to get more value out of its data

Position in the Organization:

• Part of the Functional Domain Data & Analytics
• Reports to the Domain Lead Data & Analytics
• Works with other Solution Architects in the domain

Responsibilities:

• Collect and translate information needs from business stakeholders into user stories, data models, and design documents
• Build and maintain an enterprise data platform to provide high-quality data to business analysts and data scientists
• Design and implement scalable data pipelines to ingest, transform and store data into the data platform
• Define and build measures and authorization profiles in MS Azure to ensure safe data storage and access controls
• Advise business stakeholders and IM Solution Architects on new technologies and capabilities in Data Engineering and Analytics
• Create a roadmap for the Data to Insights strategy

Job Requirements:

• Master/bachelor’s degree in business management, computer science, computer engineering, or a related field of study
• Professional with at least 3 years of experience as Data Engineer, preferably with Microsoft Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Cosmos DB and Azure SQL Server
• Certified MS Azure Data Engineer (DP-200 and preferably DP-201)
• Experience in cloud-based data pipelines, machine learning models, and big data infrastructure in the Cloud
• Knowledge of relational databases, data modelling, data warehouses, metadata, and ETL with Microsoft SQL Server, SSIS, SSAS, SSRS
• Knowledge of tools like Python, Java, Spark or Kafka
• Knowledge of SAP Business Warehouse is an advantage
• Experience with working in Agile/Scrum teams

Core Competencies:

• Solution Architecture
• Core Consulting Skills
• Business Process Knowledge
• User Experience
• Taking Responsibility
• Platform Integration
• Data Analytics & Modelling
• Act as sparring partner for DevOps teams in refinement - or team sessions
• Deliver Solution Directions for assigned User Stories, creating visual diagrams and proposals
• Taking ownership of structural challenges which cannot be solved operationally and require a more fundamental, structured, analytical approach

Other Requirements:

• Preferably working experience in a similar role in a company
• High standard of personal and interpersonal leadership
• 10+ years of relevant experience
• Experience in (agile) IT project implementation and change management process
• Business process modelling and application architecture design (logical and physical) – frameworks (UML), tools, technologies, methodologies.