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 Experience:

• 3-5 years or more experience working with data and data analytics development within the Azure cloud platform; experience with Synapse preferred.

• Experience with data analytics/engineering and cloud technologies and an in-depth working knowledge and understanding of data engineering, design, and integration.

• Manufacturing experience is highly preferred.

Position Type:

This is a regular, full-time position working a regular work week with infrequent extended hours only for high priority business needs.

Travel:

• Infrequent domestic travel for team/project meetings.

• Very infrequent global travel possible.

Supervisory/Responsibility:

• Individual contributor/lead with no direct reports.

Additional Job Description:

• Uses standard or ad hoc queries or reports to extract data from disparate databases or data sources.

• Analyzes data to produce dashboards, metrics, or insights and identify trends or anomalies.

• Consults with users or decision makers to identify data sources, required data elements, or data validation standards.

• Collaborates with development teams to design business intelligence solutions to facilitate data gathering, storage, and retrieval.

• May guide less experienced team members.

• Other duties as assigned.

#LI-AL1

Position Type:

This is a regular, full-time position with the understanding that a regular workweek will require extended days and hours as needed to meet business needs.

Travel:

Occasional domestic and/or global travel may be required for this position.

At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.

Company:

BW Corporate US