Lead Data & Analytics Engineer

Benefact Group; Gloucester; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading financial services group seeks a Lead Data & Analytics Engineer in Gloucester. You will lead cloud-based data solutions, manage a team, and drive data strategy in a collaborative environment. This role offers growth opportunities within a purpose-led organization.

Benefits

Hybrid working

Group Personal Pension - up to 12% employer contribution

Generous annual bonus scheme up to 30%

28 days annual leave plus bank holidays

Health and wellbeing benefits

Annual personal grant to a charity

Volunteering day per year

Employee Assistance Programme

Full study support for professional qualifications

Access to virtual GP

Qualifications

• Experience with Azure, AWS, or Google Cloud for data engineering.
• Strong knowledge of Python, SQL, Spark, or similar.

Responsibilities

• Manage a team of data engineers, providing mentorship.
• Lead the design, build, and maintenance of cloud-native data pipelines.
• Oversee scalable, cloud-based analytics and data services.

Skills

Leadership

Agile

Collaboration

Cloud Security

Tools

Databricks

Snowflake

BigQuery

Synapse Analytics

Terraform

Docker

Kubernetes

Job description

Working hours:

35 hours per week, Monday to Friday

Duration:

Permanent

Location:

Gloucester

Job Ref:

203895

About the role

Benefact Group is seeking a Lead Data & Analytics Engineer to join our Gloucester office. The role involves leading the design, development, and optimization of cloud-based data pipelines and analytics solutions using modern cloud technologies. You will ensure scalable, secure, and efficient cloud data services that drive insights across the organization, providing technical leadership and strategic direction. Joining our expanding and innovative group offers a great opportunity to develop your career within an inclusive, purpose-led organization.

Key responsibilities

1. Team Leadership & Management: Manage a team of data engineers, providing mentorship and support to ensure successful project delivery. Foster a collaborative, high-performance environment, supporting the Head of Data Operations in coordinating activities and achieving milestones.
2. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques.
3. Data Visualisation & Analytics: Oversee scalable, cloud-based analytics and data services to enable business decision-making.
4. Operational Support & Troubleshooting: Ensure high availability and reliability of data solutions, providing second-line support and performance optimization.
5. Cloud Governance & Security: Implement and enforce best practices for security, compliance, and governance in cloud data environments.
6. Collaboration & Agile Development: Work closely with stakeholders, attend Data Analytics Board meetings, and lead agile processes.
7. Data Strategy & Automation: Drive automation and self-service solutions, promoting a data-driven culture.
8. Continuous Integration & Deployment: Support cloud-based CI/CD pipelines for data solutions, enabling efficient releases.
9. Technical Leadership: Mentor users and citizen data scientists in adopting cloud-native analytics and data science tools.
10. Hands-On Development: Participate in designing, coding, and testing cloud-native data pipelines.
11. Technical Problem Solving: Troubleshoot complex data issues and bottlenecks, providing hands-on solutions.
12. Prototyping & Innovation: Lead prototypes and POCs to explore new technologies.
13. Code Reviews & Best Practices: Conduct reviews to ensure high-quality code standards.
14. Tool & Technology Evaluation: Evaluate and implement new tools and technologies.
15. Data Integration: Manage data integration tasks ensuring seamless data flow.
16. Performance Tuning: Perform performance tuning and optimization of data pipelines and resources.

Knowledge, skills and experience

Essential:

• Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering.
• Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics.
• Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar.
• Data Modelling & Warehousing: Experience with cloud-based data architecture.
• CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes.
• Agile & Collaboration: Ability to work in agile environments and drive data strategies.
• Security & Compliance: Awareness of cloud security practices and data legislation.
• Team Leadership & Project Management: Proven leadership in data engineering teams and projects.

Desirable:

• Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics.
• BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker.
• Automated Testing & Monitoring: Experience with ICEDQ, QuerySurge, or cloud-native monitoring tools.

What we offer

• A competitive salary - let's discuss it
• Hybrid working
• Group Personal Pension - up to 12% employer contribution
• Generous annual bonus scheme up to 30%
• 28 days annual leave plus bank holidays, and a holiday buy and sell scheme
• A range of health and wellbeing benefits, including private healthcare, income protection, and life assurance
• Up to £400 annual personal grant to a charity of your choice
• Encouraged to take at least one volunteering day per year
• Employee Assistance Programme
• Full study support for professional qualifications
• Access to virtual GP
• Enhanced maternity and paternity pay

About us

Benefact Group is a unique international financial services group comprising over 30 businesses. Owned by a charity, we have been the UK's third-largest corporate donor over the past decade, donating over £250 million since 2014. We aim to become the UK's leading corporate donor with strategic plans to double our size.

We value attracting, empowering, and rewarding talented individuals, offering opportunities for growth. Our ethos, history, and diverse activities foster a culture of kindness, ambition, and continuous improvement.

We are committed to inclusivity and respect, welcoming applications from all backgrounds and abilities. If you need additional support during the recruitment process, please let us know.