Data Engineer - Manufacturing

About Us:

 

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

 

Job Description:

• *MUST HAVE EXPERIENCE IN THE FIELD OF DATA ENGINEERING AND MANUFACTURING TO BE CONSIDERED FOR THIS OPPORTUNITY*

Position Description: 

• The Manufacturing Data Engineer role leads and implements data engineering projects, supports/maintains data pipelines, and provides data estate expertise and best practices across the company. 
• Previous manufacturing experience in complex data environments is highly preferred.  
• The primary focus for this role will be a green fields development of a modern data platform spanning source ERPs & CRMs, the Enterprise Data Hub (Lake & Warehouse), Data Governance & Master Data Management, and Reporting & Analytics certified datasets, 
• This individual will work closely with both business and IT teams to design, build and support data warehouses and processes utilized by business reporting and analytics teams.  

Technologies: 

• Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure SQL Database, ADLS, Entra (Active Directory), Key Vault, Power BI, and other Azure resource types. 
• Knowledge of Dynamics 365 Finance & Operations, Dynamics 365 Customer Engagement, Power Platform, Dataverse, Data Governance & MDM solutions, CDC services, PySpark notebooks, and Infor XA/SAP ERPs. 

Principal Duties and Responsibilities (Essential Functions):   

• Assemble and analyze large, complex sets of data. 
• Design and build sustainable and optimal database models. 
• Identify, design, and implement internal process improvements increasing scalability, optimizing data delivery, and automating manual processes. 
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Microsoft Azure, Databricks, and SQL technologies. 
• Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. 
• Work with stakeholders including data, design, product, and leadership teams and assist them with data-related technical issues. 

• Assist with setting standards, ensuring proper documentation and environment controls. 
• Mentor development team members in design and development of complex ETL And BI solutions. 
• Contribute to testing, QA, and documentation of data pipelines and systems. 
• Support exploratory data analysis, statistical analysis, predictive analytics, and machine learning models. 
• Ensure systems meet industry standard practices and business, security, privacy, and data retention requirements. 
• Participate in and lead Agile/Scrum meetings. 

Job Specifications: 

• Maintain in-depth understanding of relevant data engineering best practices. 
• Ability to configure and manage any Azure component pertaining to ETL/ELT processes (ADF, Azure SQL, Azure Data Lake, Databricks, Power BI). 
• Coding and scripting experience to move and manipulate data using tools such as Spark or Pandas. 
• Expert level knowledge of SQL, database administration and other data platforms and data related programming elements (e.g., Python). 
• Knowledge of database design and architecting data models; ability to understand, discuss and document complex data models. 
• Strong facilitation skills for gathering and understanding requirements from business groups. 
• Ability to develop and maintain strong working relationships both internally and externally. 
• Management and guidance for best practice data backup. 
• Effective communication and people skills with the ability to use non-functional language when engaging with clients. 
• Able to manage and complete multiple concurrent projects with tight deadlines. 
• Display expertise with tools needed to debug and diagnose issues. 
• Ability to design, implement, and deploy data solutions to business problems. 

• Shows initiative for problem-solving and ownership. 
• Deliver feedback in a constructive manner. 
• Provide guidance to other engineers and workflow developers. 
• Work well with technical leads, incorporating feedback as needed. 

Required Education and Expe