At a Glance
- Tasks: Design and build scalable data pipelines to transform data into actionable insights.
- Company: Join Transforming Learning Group, a visionary education group improving outcomes through technology.
- Benefits: Enjoy a competitive salary, pension scheme, wellbeing hub, and online discounts.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Make a real impact in education by shaping the future of technology and data.
- Qualifications: Strong experience in data engineering with Python and AWS; knowledge of machine learning is a plus.
Senior Data Engineer
Location- Remote, with occasional travel
Salary - £60,000
Contract: Full Time, Permanent
About Transforming Learning Group
Transforming Learning Group is a visionary education group dedicated to helping schools use technology and data more effectively to improve outcomes for learners. Supporting over 5,000 schools nationwide, our family of brands includes turn IT on, School ICT Services, SalamanderSoft, Vital York, GDPR Sentry, Locker and EduFin.
We work closely with schools to help them maximise the value of technology, make informed decisions through data, and create more efficient ways of working that allow educators to focus on what matters most: improving learning.
The Role
We're looking for an experienced Senior Data Engineer to help shape and develop the data platform that powers insight, reporting and innovation across our products and services.
This is an exciting opportunity to play a key role in building reliable, scalable data solutions that support schools and trusts nationwide. Working primarily within AWS and Python-based environments, you'll develop data pipelines, improve data quality and enable meaningful analytics that drive better decision-making.
You'll also contribute to emerging machine learning capabilities and modern data engineering practices, working alongside AI-assisted development tools while applying your expertise to ensure data remains accurate, secure and trusted.
Key Responsibilities
- Design, build and maintain scalable data pipelines and workflows.
- Develop data solutions that transform operational data into actionable insights and reporting.
- Ensure data quality through validation, testing, monitoring and governance processes.
- Support the development and deployment of machine learning models and feature pipelines.
- Maintain strong data security, privacy and governance standards across all datasets.
- Collaborate with engineering teams to ensure data structures and contracts remain consistent and reliable.
- Optimise data processing, storage and performance within AWS environments.
- Review and validate solutions developed through AI-assisted engineering tools.
- Contribute to the ongoing development of data architecture and best practices.
About You
You'll be an experienced data professional who enjoys solving complex problems, building scalable solutions and ensuring data can be trusted by those who rely on it.
Essential Skills & Experience
- Strong commercial experience in data engineering using Python.
- Experience designing, building and supporting production data pipelines.
- Excellent understanding of data modelling, ETL/ELT processes and analytics-ready data structures.
- Hands-on experience with AWS data services and cloud-based data platforms.
- Experience working with SQL and relational databases.
- Knowledge of machine learning deployment or MLOps practices.
- Strong analytical, troubleshooting and code review skills.
- A security-conscious approach to handling sensitive and confidential data.
Desirable Skills & Experience
- Experience working with multi-tenant platforms and data environments.
- Knowledge of PostgreSQL or Aurora performance optimisation.
- Experience with Infrastructure as Code and CI/CD practices.
- Familiarity with tools such as dbt, Airflow, Dagster, Prefect, Kafka or Kinesis.
- Experience working with AI-assisted software development tools.
- Understanding of GDPR and data protection requirements, ideally within education or other regulated sectors.
Why Join Us?
At Transforming Learning Group, you'll be part of a team committed to helping schools make better use of technology and data. You'll have the opportunity to work on meaningful products, tackle complex technical challenges and help build data solutions that have a real impact across the education sector.
We foster a collaborative, supportive environment where innovation is encouraged, expertise is valued and everyone works together towards a shared goal.
If you're passionate about data engineering and want to help shape the future of technology in education, we'd love to hear from you.
A comprehensive benefits package including:
- Salary sacrifice pension scheme
- Wellbeing & Benefits Hub
- Cycle and e-bike scheme
- Eye care vouchers
- Employee assistance programme
- Employee recognition platform
- Online retail discounts
Transforming Learning Group is committed to safeguarding and promoting the welfare of children and young people and expects all employees to share this commitment.
Happy to talk flexible working.
Senior Data Engineer employer: Transforming Learning Group
At Turn IT on, we pride ourselves on being a supportive and inclusive employer dedicated to the growth of our employees. With a focus on professional development and a commitment to safeguarding, we offer a collaborative work culture that empowers our team to make a meaningful impact in over 5,000 schools across England. Join us in transforming learning through innovative ICT solutions while enjoying a fulfilling career in a friendly environment.
Contact Details:
Transforming Learning Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Transforming Learning Group!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Transforming Learning Group.
✨Apply Directly through Our Website
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Transforming Learning Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Transforming Learning Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Transforming Learning Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Transforming Learning Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
