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- Opportunity to work on a major Data Transformation Programme
- Opportunity to join a rapid growth organisation
About Our Client
Rapidly expanding manufacturer and retailer
Job Description
This rapidly expanding manufacturer and retailer is looking to appoint a Data Engineering Lead / Data Architect to support the continued evolution of their Data Strategy and roadmap towards using more advanced analytics and insights to drive commercial growth. You will be pivotal and hands-on in leading a small team of Data Engineers and BI Developers to support their Cloud transformation. Knowledge of Data Architecture is highly desirable, but a Senior Data Engineer looking to transition into this domain will also be considered.
Key Responsibilities:- Oversee and lead the design and implementation of ETL/ELT processes to ingest data from the new ERP system into Snowflake.
- Architect and develop the Snowflake data warehouse to support reporting and analytics needs, incorporating existing SQL-Server based business logic, while optimizing the warehouse structure for performance, scalability, and ease of use.
- Ensure collaboration between BI and Data teams with business users to understand, qualify, design, build, test, and deliver requirements.
- Work with and oversee third-party providers to ensure cost-effective and optimized technologies and services, while ensuring adherence to SLAs.
- Provide direction on data management, storage, and retrieval to enable efficient use of technology.
- Design, implement, and manage BI infrastructure and services, delivering business data insights aligned with IT strategy and roadmap.
- Act as a subject matter expert on data analytics, data modeling, warehousing, data mining, and presentation to support future projects.
- Ensure smooth operation of BI services, acting as a point of escalation for support and technical issues.
- Collaborate with senior stakeholders and programme boards to deliver KPI reporting.
Key Technical Areas:
- Systems Architecture: Knowledge of system architecture models for scalable, secure, and efficient data solutions.
- Business Analysis: Translate stakeholder requirements into strategic application plans.
- Business Intelligence: Understanding of data lifecycle from ETL to analysis and reporting.
- IT Security: Knowledge of security challenges and mitigation techniques.
- Effective Governance: Manage projects and stakeholder relationships effectively.
- Service and Supplier Management: Provide high-quality service management, aligning with business needs.
- Experience with ETL tools (Matillion preferred).
- Experience with SQL Server and Snowflake or other cloud data warehousing solutions (Azure/AWS).
- Experience with Kimball methodology for analytics and reporting.
- Data migration experience, including business logic mapping.
- Ability to convert business requirements into solutions.
- Experience with Power BI and ERP reporting.
- Understanding of MS BI stack (SSIS, SSAS).
- Knowledge of Microsoft Dynamics AX or IFS.
- Manufacturing and supply chain exposure.
- Understanding of financial principles.
- Experience of KPI reporting.
The Successful Applicant
- Experience with ETL/ELT tools (Matillion preferred).
- Experience with SQL Server and Snowflake or other cloud data warehousing solutions.
- Experience with Kimball methodology.
- Data migration and business logic mapping experience.
- Proficiency in Power BI and ERP systems reporting.
- Understanding of MS BI stack.
- Knowledge of Microsoft Dynamics AX or IFS.
- Manufacturing and supply chain exposure.
- Understanding of financial principles.
- Experience with KPI reporting.
What's on Offer
Opportunity to work on a major Data Transformation Programme and to join a rapidly growing organization.