Join now if you want to spearhead the delivery of a next-generation data platform, built on a modern Azure-Databricks ecosystem, unlocking the full potential of advanced analytics, machinelearning and AI across the business. The Role: Are you a proven data engineer, looking to step into an exciting leadership position? Reporting directly into the head of … under you to success. Key Responsibilities: Shape the strategic roadmap - contribute to the evolution of the bank's data engineering strategy, aligning platform development with business growth. Enable AI & machinelearning - ensure the data platform effectively supports advanced analytics, machinelearning, and AI use cases Champion data governance - design data architecture that meets the highest standards … quality, and compliance. Mentor excellence - support and guide Databricks users across the business, promoting best practices and enhancing internal capability. Profile: Proven expertise in Databricks & Azure data architecture Advanced machinelearning & AI implementation - experience delivering machinelearning and AI solutions, ideally within Databricks. Strong data governance knowledge- in-depth knowledge of data governance best practices. Pipeline More ❯
and pipeline orchestration. Hands-on with ETL/ELT processes, data modeling (star schema), SQL, Python, and data governance tools (e.g., Purview, Unity Catalog). Experience implementing AI/ML solutions in Databricks or similar platforms. Knowledge of data observability, monitoring, and incident management (ITIL best practices). Excellent communication and stakeholder management skills. Experience in a regulated financial environment More ❯
is secure, scalable, and well governed. You'll take ownership of change controls, lineage, and documentation while driving adoption of best practice. Alongside this, you'll support AI/ML initiatives and provide technical guidance to colleagues, driving value from data. Key Responsibilities Lead the roadmap for data engineering, ensuring alignment with business needs and regulatory requirements. Own the design … and observability to detect and resolve issues. Maintain clear documentation of data pipelines, models, and governance processes. Implement tools to improve data quality, efficiency, and adoption. Support AI/ML delivery by building/optimising, ensuring platform readiness. Manage SQL workloads within Databricks, balancing cost and performance Ensure access controls, GDPR compliance, and security standards Work with other stakeholders on … record with lineage, documentation, and governance (Unity Catalogue, Purview) Experience implementing data quality and observability controls Familiarity with ITIL change and incident management Hands-on experience enabling AI/ML in a data platform Strong ETL/ELT engineering skills Desirable Experience with Python and related tooling Understanding of MLOps practices (MLflow, Azure ML) Familiarity with real-time data technologies More ❯
is secure, scalable, and well governed. You'll take ownership of change controls, lineage, and documentation while driving adoption of best practice. Alongside this, you'll support AI/ML initiatives and provide technical guidance to colleagues, driving value from data. Key Responsibilities Lead the roadmap for data engineering, ensuring alignment with business needs and regulatory requirements. Own the design … and observability to detect and resolve issues. Maintain clear documentation of data pipelines, models, and governance processes. Implement tools to improve data quality, efficiency, and adoption. Support AI/ML delivery by building/optimising, ensuring platform readiness. Manage SQL workloads within Databricks, balancing cost and performance Ensure access controls, GDPR compliance, and security standards Work with other stakeholders on … record with lineage, documentation, and governance (Unity Catalogue, Purview) Experience implementing data quality and observability controls Familiarity with ITIL change and incident management Hands-on experience enabling AI/ML in a data platform Strong ETL/ELT engineering skills Desirable Experience with Python and related tooling Understanding of MLOps practices (MLflow, Azure ML) Familiarity with real-time data technologies More ❯
