IT Data Engineering Manager

Greene King; Burton-on-Trent; On-site; GBP 70,000 - 100,000; Full time

Job summary

Greene King is seeking an IT Data Engineering Manager to enhance their Data & AI department. This pivotal role involves managing a team and overseeing the entire data engineering lifecycle, ensuring compliance with regulations and optimizing data solutions to align with business objectives.

Benefits

Competitive salary

Pension contribution

Career development

Employee assistance programs

Discounts

Qualifications

• Extensive knowledge of data engineering standards and practices.
• Proficiency in SQL, Python, and experience with ELT/ETL.
• Team management and excellent communication skills.

Responsibilities

• Lead and manage a team of data engineers.
• Define and implement data engineering strategies and best practices.
• Manage the data engineering roadmap to deliver value.

Skills

Data engineering standards and practices

SQL

Python

Team management and development

Stakeholder management

Education

Degree in mathematics, statistics, computer science, or related field

Tools

Azure DevOps

Data Modeling

Databricks

Azure Cloud Infrastructure and Security

Job description

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Company Description

Job Description

The IT Data Engineering Manager will play a pivotal role in advancing the data maturity of the Data & AI department by owning and delivering the data engineering roadmap. They will manage the Data Engineering team, providing best practices and specialized support as an expert and consultant to deliver solutions that enable the business to maximize value.

The IT Data Engineering Manager will be responsible for the entire engineering lifecycle, from data ingestion to transformation to serving. They will support the development and optimization of the environment and platforms to ensure ongoing growth and adherence to industry best practices.

• Define and implement data engineering strategies and best practices
• Oversee data platform architecture for scalability and reliability
• Lead and manage a team of data engineers
• Collaborate with architects, analysts, and business teams to align data solutions with organizational goals
• Manage the data engineering roadmap, ensuring it delivers tangible value to Greene King
• Oversee the end-to-end data engineering lifecycle for new data sources
• Support development and optimization of data engineering tools, processes, and environments
• Maintain and optimize existing data pipelines
• Document data pipelines and processes
• Test deployed solutions for accuracy and fault tolerance
• Ensure compliance with all regulations regarding data solutions and usage
• Review and optimize data quality across the central data platform
• Collaborate with data architects to deliver aligned data solutions
• Work with digital analytics, BI, and ETL teams to ensure data management and transformation alignment
• Engage with cross-functional teams to understand requirements and challenges
• Map data flows to identify value opportunities
• Maintain records of system integrations, data flows, and related documentation
• Estimate cloud service requirements and costs in collaboration with cloud engineering teams
• Research emerging trends in data engineering, AI, and data science

Qualifications

We offer a competitive salary, pension contribution, and benefits including career development, discounts, employee assistance programs, and more.

• Degree in mathematics, statistics, computer science, or related field
• Extensive knowledge of data engineering standards and practices
• Experience with ELT/ETL, Batch, Streaming, API, Eventing, Pub/Sub
• Proficiency in SQL, Python, and other coding languages
• Experience with Azure DevOps, Data Modeling, Lakehouse, Databricks, Azure Cloud Infrastructure and Security
• Experience with Delta/Iceberg formats, data ingestion patterns, troubleshooting, and data as a product
• Team management and development experience
• Excellent communication skills for technical and non-technical audiences
• Experience in a multi-brand, fast-paced industry
• Stakeholder management skills and ability to analyze business challenges for data requirements

Additional information about the role and qualifications is provided above.