Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Manager for Data & AI team at Valorem Reply focused on modern data platforms with Microsoft technologies. Leading technical direction and collaborating with clients on data governance frameworks.
Responsibilities
- Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
- Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
- Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
- Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
- Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
- Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Requirements
- Bachelor’s degree in computer science or related field
- 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
- 4 years of experience in a consulting role working directly with Enterprise customers
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
- Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
- Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
- Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
- Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies.
Benefits
- Health insurance
- Professional development opportunities
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