Data Engineer Manager
Department:
Tech Hub Employment Type:
Permanent Location:
London Reporting To:
Lead Data Engineer
Description
Contract type:
Permanent Hours: Full time, 37.5 hours per week
Salary:
circa £80,000 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. Role Summary: The Data Engineer Manager is responsible for driving 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, the 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 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. Implement best practices for process improvements, cost optimisation 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 6 years’ experience in Data Engineering, Data Architecture & Governance frameworks. Minimum 4 years' experience with Python, preferably PySpark. Experience leading small teams of Engineers. 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). 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:
Demonstrates creative thinking when approaching complex data challenges. Shows openness to new ideas and is eager to experiment and iterate for continuous improvement. Skilled at managing multiple priorities and adapting to changing business requirements. Encourages open communication and cross-functional collaboration to achieve shared objectives. Proficiency in cloud platforms such as Azure and AWS. Capable of thriving in a fast-paced environment as an individual contributor. Experience with Power BI for reporting would be a plus. Highly analytical with strong critical thinking, decision-making, and organisational 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:
25 days' annual leave and bank holidays Recognition schemes allowing colleagues to say thanks Company contribution to your pension scheme Family friendly policies, including enhanced company maternity/paternity and shared parental benefits Employee assistance programme for free, confidential support for your professional or personal life, including financial management and family care Special leave such as study leave, sabbatical or public duties Three days paid leave a year for volunteering to support your local community Season ticket loan scheme to support your commute Access to “Work Perks” offering deals, discounts and cash back on your purchases Family savings on days out and English Heritage or gym discounts through our partners.
#J-18808-Ljbffr
Department:
Tech Hub Employment Type:
Permanent Location:
London Reporting To:
Lead Data Engineer
Description
Contract type:
Permanent Hours: Full time, 37.5 hours per week
Salary:
circa £80,000 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. Role Summary: The Data Engineer Manager is responsible for driving 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, the 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 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. Implement best practices for process improvements, cost optimisation 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 6 years’ experience in Data Engineering, Data Architecture & Governance frameworks. Minimum 4 years' experience with Python, preferably PySpark. Experience leading small teams of Engineers. 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). 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:
Demonstrates creative thinking when approaching complex data challenges. Shows openness to new ideas and is eager to experiment and iterate for continuous improvement. Skilled at managing multiple priorities and adapting to changing business requirements. Encourages open communication and cross-functional collaboration to achieve shared objectives. Proficiency in cloud platforms such as Azure and AWS. Capable of thriving in a fast-paced environment as an individual contributor. Experience with Power BI for reporting would be a plus. Highly analytical with strong critical thinking, decision-making, and organisational 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:
25 days' annual leave and bank holidays Recognition schemes allowing colleagues to say thanks Company contribution to your pension scheme Family friendly policies, including enhanced company maternity/paternity and shared parental benefits Employee assistance programme for free, confidential support for your professional or personal life, including financial management and family care Special leave such as study leave, sabbatical or public duties Three days paid leave a year for volunteering to support your local community Season ticket loan scheme to support your commute Access to “Work Perks” offering deals, discounts and cash back on your purchases Family savings on days out and English Heritage or gym discounts through our partners.
#J-18808-Ljbffr
