At a Glance
- Tasks: Manage data, resolve queries, and support our new CRM integration.
- Company: The Woodland Trust, dedicated to conserving trees and nature.
- Benefits: Flexible working, generous leave, enhanced pension, and employee support.
- Other info: Hybrid role with great opportunities for personal and professional growth.
- Why this job: Join us to make a real difference in environmental conservation through data.
- Qualifications: Experience in SQL, data modelling, and ETL processes.
The predicted salary is between 30000 - 40000 £ per year.
The Woodland Trust is looking for a Data Engineer to help us manage our data, keep our systems running smoothly and support with the integration of our new Dynamics 365 CRM solution.
The Role
- Monitor the data engineering support board for incoming queries and move to resolution.
- Write and create SQL scripts, queries, views, indexes and optimisations.
- Document data flows and solutions and undertake analytical tasks making sure data is up to date.
- Model data sources using techniques such as Data Flow Diagrams, Entity Relationship Diagrams, Schema Mappings and DDL.
- Undertake data extractions, transformations, loading (ETL), testing, unit, integration and smoke.
This is a hybrid position with a mix of home working, and from our head office in Grantham, Lincolnshire. Head office attendance would be required no more than once a month on average.
Benefits and Wellbeing
- Enhanced Employer Pension
- Life Assurance
- Flexible & Hybrid Working Options
- Generous Annual Leave – 25 Days plus bank holidays (pro rata for part‑time)
- Buy and Sell Holiday Scheme
- Enhanced Parental Pay
- Employee Assistance Programme
Our Commitment to Diversity and Inclusion
To achieve our vision of a world where woods and trees thrive for people and nature, we need to better reflect society and the communities we work in. All people, no matter their background, identity, ability, or circumstance, should benefit from trees. People of colour and disabled people are currently under‑represented across the environment and conservation sector. If you identify as a person of colour and/or disabled, we particularly encourage you to apply. Please contact us to discuss any additional support or adjustments you may need to complete your application.
Data Engineer employer: WOODLAND TRUST
The Woodland Trust is an exceptional employer that prioritises employee wellbeing and professional growth, offering a flexible hybrid working model and generous benefits such as enhanced annual leave and a robust pension scheme. Located in Grantham, Lincolnshire, our inclusive work culture fosters diversity and encourages individuals from all backgrounds to contribute to our mission of conserving nature, making it a rewarding place for passionate data engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts, data models, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at The Woodland Trust.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, SQL scripts, and any relevant tools. We want to see how your skills align with what we're looking for!
Show Off Your Problem-Solving Skills:In your application, share examples of how you've tackled data-related challenges in the past. We love seeing how you approach problem-solving, especially when it comes to data integration and ETL processes.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experience and avoid jargon unless it's relevant. We appreciate clarity as much as we appreciate technical skills!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at WOODLAND TRUST
✨Know Your SQL Inside Out
Since the role involves writing and creating SQL scripts, make sure you brush up on your SQL skills. Be prepared to discuss your experience with queries, views, and optimisations. Practising common SQL problems can help you feel more confident during technical questions.
✨Familiarise Yourself with Data Modelling Techniques
Understanding data flow diagrams, entity relationship diagrams, and schema mappings is crucial for this position. Before the interview, review these concepts and think of examples from your past work where you've applied them. This will show your potential employer that you’re not just familiar with the theory but have practical experience too.
✨Prepare for ETL Discussions
As the job involves data extractions, transformations, and loading, be ready to talk about your experience with ETL processes. Think of specific projects where you’ve implemented ETL and be prepared to explain the challenges you faced and how you overcame them.
✨Show Your Problem-Solving Skills
The role requires monitoring a support board and resolving queries, so be ready to demonstrate your analytical thinking. Prepare some examples of how you've tackled complex data issues in the past. This will highlight your ability to think critically and act efficiently under pressure.
