Location
Flexible working with monthly visits to our main office in Grantham, Lincolnshire (approximately once a month).
Hours
Full Time
Salary
£55,000 per annum
About the Role
The Woodland Trust is seeking a Principal Data Engineer to lead the transformation of our data management and integration processes, supporting data architecture aligned with our conservation mission. You will lead the design and implementation of data models that support our organisational goals and conservation efforts. This role involves designing integration patterns to ensure seamless data flow between internal and external solutions, establishing and facilitating a robust data governance framework to maintain data accuracy, privacy, compliance, and optimal usage. You will oversee the operation of legacy systems while transitioning to modern data management technologies and lead the development of an observability strategy for our data and integration platforms. Supporting a comprehensive data strategy, you will help advance data maturity, quality, governance, and capability, laying the foundation for data analytics and AI to enable data-driven insights that enhance our conservation work. This role offers a hybrid working model with a mix of remote work and office visits.
About Us
The Woodland Trust is the UK's leading woodland conservation charity dedicated to creating thriving woodlands for people and nature. Our mission is to engage and inspire individuals to tackle the nature and climate crisis through protecting, restoring, and creating vital woodland habitats.
Benefits & Wellbeing
Joining our team means contributing to tackling environmental and climate challenges. We offer a supportive work environment with training opportunities and benefits including enhanced employer pension, life assurance, flexible and hybrid working options, generous annual leave (25 days plus bank holidays, pro rata for part-time), buy and sell annual leave scheme, enhanced parental pay, and an employee assistance programme.
Commitment to Diversity & Inclusion
We strive to better reflect society and the communities we serve. We encourage applications from people of colour and disabled people who are currently under-represented in the environment and conservation sector. We welcome discussions about any support or adjustments needed to complete your application.
Application Advice
To ensure fairness, personal details are hidden from hiring managers and CVs are not requested at application stage. Please use your Personal Statement to clearly demonstrate how your skills and knowledge meet the job specifications and share your passion for the role. We encourage applications even if you do not meet every requirement. Interviews will be conducted via Microsoft Teams.
Experience
- Leading data transformation initiatives within complex environments
- Knowledge of enterprise data architecture and data modelling
- Leading projects and designing enterprise integration patterns for internal and external solutions
- Managing transitions from legacy systems to modern data platforms
- Strong skills with Azure data technologies and practical application
- Designing, building, and maintaining integrations using Azure Integration Services
- Knowledge of DevOps practices for data and integrations
- Developing and implementing data strategies to enhance data quality, governance, and management practices
- Experience in the environmental, charity, or fundraising sectors is desirable
About You
You are enthusiastic about the environment and share our core values: Grow Together, Explore, Focus, and Make it Count. You have strong communication skills to build and maintain relationships with key stakeholders, business units, and technology departments. You are motivated to support data-driven conservation efforts and thrive in a collaborative, mission-driven organisation.
Qualifications
Relevant qualifications or equivalent experience in data engineering, data architecture, or related fields are expected. A passion for continuous learning and development aligned with the role is essential.
