Head of Data Engineering
| Posting date: | 01 May 2024 |
|---|---|
| Salary: | £95,000 to £105,000 per year |
| Hours: | Full time |
| Closing date: | 31 May 2024 |
| Location: | London, UK |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | Clearwater People Solutions Limited |
| Job type: | Permanent |
| Job reference: |
Summary
A fantastic opportunity has a risen with our Financial Services client, for a Head of Data Engineering to join the team. The Head of Data Engineering will be responsible leading a team of data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive the digital transformation initiatives and support business reporting requirements.
The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Data Lake and Databricks.
Key responsibilities for the Head of Data Engineering
• Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals.
• Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs.
• Lead the development of the new solution with a small team, whilst being hands-on.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications.
Key Responsibilities for the Head of Data Engineering
• 10 years+ Data Engineering experience, leading data engineering teams
• Proven track record of leading successful digital transformation initiatives involving data engineering and analytics.
• Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI
• Strong in delivering solutions at scale, on time and within budget.
• Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes
Please apply as directed!
The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Data Lake and Databricks.
Key responsibilities for the Head of Data Engineering
• Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals.
• Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs.
• Lead the development of the new solution with a small team, whilst being hands-on.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications.
Key Responsibilities for the Head of Data Engineering
• 10 years+ Data Engineering experience, leading data engineering teams
• Proven track record of leading successful digital transformation initiatives involving data engineering and analytics.
• Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI
• Strong in delivering solutions at scale, on time and within budget.
• Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes
Please apply as directed!