Data Engineering Manager

What you will do?

Join us in the Procurement Execution Center (PEC) as a Data Eng & Automation Mgr as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for leading and manage a team of Data Engineers and ensure that the ETL/ELT, DW/DL, data staging, data governance and any other activities accomplish the business requirements as well as managing the different layers of data required to ensure a successful BI & Reporting for the PEC. This role will work with multiple types of data, spreading across multiple functional areas of expertise, including Fleet, MRO & Energy, Travel, Professional Services, among others.

How you will do it?

o Lead and manage a team of Data Engineers of different experience levels

o Responsible for delivering a detailed roadmap on data integration and automation based on business goals.

o Demonstrate an ability to communicate technical knowledge through project management and contributions to product strategy

o Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses

o Manage the entire lifecycle of the data engineering team projects

o Leads the data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.

o Maintain conceptual, logical, and physical data models along with corresponding metadata.

o Deploys data stewardship and data governance across our data warehouse, to cleanse and enhance our data, using knowledge bases and business rules.

o Ensure compliance to system architecture, methods, standards, practices and participate in their creation

o Clearly articulate and effectively influence both business and technical resources

o Create data tools for analytics that assist them in building and optimizing our product into an innovative industry leader.

o Support the deployment of a data standards for different Procurement categories.

o Other Procurement duties as assigned.

What are we looking for?

o Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)

o 7+ years of relevant experience in data roles, such as: data modeling, data engineering, ETL development, DBA, software engineering or other relevant roles.

o Excellent problem solving, critical thinking, and communication skills

o Knowledge of Data Modelling concepts, monitoring, designs and techniques.

o Knowledge of Data Warehouse project lifecycle, tools, technologies, and best practices

o Knowledge of object-oriented function scripting languages: Python, Scala, C#, etc.

o Demonstrable knowledge of different applications and market developments for benchmarking the concepts.

o Technical knowledge of new data feeds development process

o Knowledge of advanced working SQL knowledge and experience working with relational databases.

o Knowledge in DW/DL concepts, data marts, data modeling, ETL/ELT, data quality/stewardship, distributed systems, and metadata management.

o Knowledge on building and optimizing data pipelines, architectures, and data sets.

o ETL/ELT development and lead experience, Azure Data Factory preferred.

o Strong project management and organizational skills.

o Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.

o Experience with Snowflake is a plus.

o Experience with DBT Labs is a plus.

o Relevant experience with Azure DevOps (CI/CD, git/repo management)

o Due to the global nature of the role, proficiency in English language is a must