Data Engineer Manager

Low Carbon Contracts Company; City Of London; Hybrid; GBP 78,000; Full time

Job summary

A publicly funded organization in London seeks a Data Engineer Manager to lead a team and design data solutions aligned with strategic goals. The ideal candidate has over 4 years of experience in data engineering, proficiency in Python and Azure, and strong leadership skills. This full-time role offers a competitive salary of circa GBP 78,000, along with a full range of employee benefits.

Benefits

Annual performance-based bonus, up to 10%

25 days annual leave plus bank holidays

Up to 8% pension contribution

Study support and professional memberships

Family friendly policies

Employee assistance programs

Paid volunteering days

Cycle to work schemes

Qualifications

• Minimum 4 years' experience in Data Engineering, Data Architecture & Governance frameworks.
• Strong proficiency in cloud platforms, with Azure being highly desirable.
• Experience leading small teams of Engineers.

Responsibilities

• Design and implement complex data solutions that support high data volumes.
• Establish operational support for critical systems.
• Oversee project timelines, scope, and deliverables.

Skills

Data Engineering

Python (preferably PySpark)

Cloud platforms (Azure)

ETL/ELT processes

DevOps practices

Stakeholder management

Tools

Azure DevOps

SQL DW

Databricks

Job description

Role Summary

The Data Engineer Manager is responsible to 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 center 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 optimize 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.
• Implement best practices for process improvements, cost optimization and monitoring. Continuously evaluate and improve the Azure data platform to enhance performance and scalability.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Develop and implement a comprehensive data governance framework to ensure data quality, security, and compliance across the data applications.
• Design, evaluate impacts, perform technical design reviews, and approve technical designs as part of the design authority process.
• Establish and maintain comprehensive documentation for all data engineering processes, pipelines, and systems.
• Implement best practices for maintaining version control and traceability of documentation.
• Foster continuous learning and adoption of the latest technologies while mentoring and training the data engineering team.

Skills Knowledge and Expertise

Essential:

• Minimum 4 years' experience in Data Engineering, Data Architecture & Governance frameworks.
• Minimum 2 years' experience with Python, preferably PySpark.
• Experience leading small teams of Engineers.
• Excellent communication and stakeholder management abilities.
• Strong proficiency in cloud platforms (Azure is highly desirable).
• 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).
• The ability to simplify complex technical issues for a non-technical stakeholder audience.
• Capable of understanding business needs and requirements while providing valuable, insightful recommendations.
• Skilled in delivering presentations and technical reports clearly and persuasively.

Desirable:

• ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, Azure DevOps.
• Demonstrates creative thinking when approaching complex data challenges.
• Shows openness to new ideas and is eager to experiment and iterate for continuous improvement.
• Capable of thriving in a fast-paced environment an individual contributor.
• Highly analytical with strong critical thinking, decision-making, and organizational skills, along with the ability to influence effectively.

Employee Benefits

As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:

• Annual performance based bonus, up to 10%
• 25 days annual leave, plus eight bank holidays
• Up to 8% pension contribution
• Financial support and time off for study relevant to your role, plus a professional membership subscription
• Employee referral scheme (up to GBP 1500), and colleague recognition scheme
• Family friendly policies, including enhanced maternity leave and shared parental leave
• Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
• Three paid volunteering days a year
• Season ticket loan and cycle to work schemes
• Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
• Employee resource groups

Additional Details

Department: Tech Hub

Employment Type: Permanent - Full Time

Location: London

Description

Contract type: Permanent, full-time

Hours: 37.5

Salary: circa GBP 78,000 depending on experience

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.