Lead Data Engineer

• Lead the architecture, best practice and engineering strategy of data squads.
• Hands on data engineering work, utilising both python and SQL.
• Mentor and lead teams of engineers, checking and reviewing code, and setting standards.
• Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.
• Design and help build the data platform - ensuring data is processed through semantic layers and can be modelled effectively.
• Lead changes across the organisation, adopting a decentralised design.

Technologies:

• Airflow
• Cloud
• Flow
• GCP
• Python
• SQL
• Security

• Experience line managing teams of data professionals.
• Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.
• Deep understanding of Data Mesh/ decentralized design and Data Lake/Warehouse solutions.
• Hands on skills across the GCP tech stack, SQL and Python.
• Ability to lead cultural change across organisations, and manage senior stakeholders.
• Ability to work across multiple contexts and teams.

We at VIQU are excited to partner with a national organization that is undergoing a significant transformation in its data infrastructure. We are hiring a Lead Data Engineer who will be crucial in designing the data platform within the Google Cloud Platform (GCP). This role will involve a balance of technical engineering, architecture, and leadership. This position offers a competitive salary range of £85,000 - £95,000 per annum and is based in Manchester with remote flexibility, requiring once-a-month onsite attendance.