Data Engineer Manager

Contract type: Permanent
Hours: Full time, 37.5 hours per week

Salary: circa £80,000 depending on experience

Location: Canary Wharf

WFH policy: Employees are required to attend the office 2 days/week

Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.

Reports to: Lead Data Engineer
Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

Role Summary:

The Data Engineer Manager is responsible drive the design, development, and optimization of data solutions in LCCC’s data infrastructure. In addition to fostering the growth of a skilled team, you will play a pivotal role in delivering LCCC’s data applications, infrastructure, and services, ensuring they align with organizational goals and industry best practices.

As part of the Technology Hub within LCCC, Data Engineer Manager will work very closely with all teams across LCCC. The role is instrumental in defining and upholding a clear vision for the integrity of data life cycle management aligning with LCCC’s strategic goal of becoming a centre of expertise. Additionally, it ensures stewardship of LCCC’s data and technical architecture, fostering innovation and reliability across all data initiatives.

Key Responsibilities

• Mentor the data engineering team to design and implement complex, tailored data solutions that support processing of high volumes of data across all schemes and applications.
  
  
• Establish and support the technical vision and strategy for a robust data architecture that aligns with LCCC’s overall strategy, with a strong focus on ensuring security for all structured data.
  
  
• Establish and maintain robust operational support and monitoring systems to ensure the reliable performance of critical systems in live environments.
  
  
• Facilitate the adoption and implementation of continuous delivery practices while advocating for the use of cloud solutions.
  
  
• Design, implement, and optimise end-to-end data pipelines and solutions on Azure, ensuring data quality, reliability, and security throughout. Oversee the integration of both structured and unstructured data sources.
  
  
• Oversee project timelines, scope, and deliverables to ensure successful execution, while actively monitoring progress and addressing risks proactively
  
  Follow the link for full list of responsibilities.
  
  Skills Knowledge and Expertise
  
  Essential:
  
  
• Experience leading small teams of Engineers.
  
  
• Minimum 3 years’ experience in Data Engineering, Data Architecture & Governance frameworks.
  
  
• Minimum 3 years' experience with Python, preferably PySpark.
  
  
• Excellent communication and stakeholder management abilities.
  
  
• Strong expertise in Azure: ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps.
  
  
• Hands-on experience with ETL/ELT processes and data warehousing.
  
  
• Solid understanding of data security and compliance standards.
  
  
• Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps).
  
  Follow the link for full list of competencies