- Create and manage a service model that delivers data accurately to stakeholders, Data teams and applications and services.
- Manage the cost model for the data platform and the teams working on it.
- Support Data Science, Operations and Insight teams to build key data pipelines and platform processes in order to deploy models.
- Data governance model implements data access, data retention, disaster/recovery, etc,) based on stakeholder requirements.
- Improve the organization's data architecture and data platforms.
Requirements: - Experience leading and managing a Data Engineering team and function.
- Experience in building data integration and Analysis Systems.
- Deep knowledge of the Microsoft Azure technology stack (Azure Synapse, Azure Data Factory, etc.).
- Proficiency in a scripting language (SQL, Spark, Python).
- Experience building API and API consumption.
- Proficiency in ETL/ELT and CI/CD pipelines.
- Experience deploying scalable data pipelines, and connecting diverse data sources to consolidated repositories.
- Experience in designing and managing service management models.
- Experience of architecting pipelines to support Machine Learning workloads.
- Experience of maintaining high levels of operational delivery.
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Head of Data Engineering - Manchester, United Kingdom - MBN Solutions
Description
Apply fast, check the full description by scrolling below to find out the full requirements for this role.
Head of Data Engineering
£90,000 + Benefits
Fully Remote Role: Must be UK Based
This is a great opportunity for a Head of Data Engineering to join a leading Geospatial organisation and Data Engineering team. This is a fully remote role, managing a diverse team across the UK in building and managing Data Governance, Data Pipelines, Data Service models and Machine Learning Models for an established organization.
Responsibilities: