Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to build and optimise a cutting-edge data platform.
- Company: Twinkl Educational Publishing is transforming education through innovative data solutions.
- Benefits: Enjoy flexible working options, competitive salary, and a culture of learning.
- Why this job: Make a real impact in education while developing your leadership skills in a supportive environment.
- Qualifications: Experience in managing engineering teams and expertise in modern data tools required.
- Other info: Join a dynamic team that values curiosity and empowers engineers to make decisions.
The predicted salary is between 84000 - 120000 ÂŁ per year.
Join to apply for the Head of Data Engineering role at Twinkl Educational Publishing
1 day ago Be among the first 25 applicants
Join to apply for the Head of Data Engineering role at Twinkl Educational Publishing
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Twinkl Educational Publishing
Location: Fully flexible – remote, hybrid or office-based
Annual Salary: Up to ÂŁ120k
Contract: Permanent
Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We\’re building a world-class data engineering function to power the next generation of our data platform, with modern tools and practices at our core.
As Head of Data Engineering, you’ll manage our existing engineers and build the team further so that it can develop our data platform of the future. You\’ll design and implement robust data systems that power our analytics and operational needs, working across our entire data platform, from batch processing to real-time event streams, ensuring our solutions are scalable, maintainable, and deliver real value to our users.
You\’ll have the opportunity to design and implement a data platform that drives the further growth of our already thriving business. The leadership team at Twinkl is highly ambitious and will challenge you to deliver the structured and monitored data that they need to take the business even further. You’ll also develop as a manager, by working with our existing team of strong engineers and developing the team culture with them.
You will:
- Manage and continue to build a high performing team of Engineers
- Develop an operating model for the team that balances building for the future with immediate business need
- Build a modern data platform that underpins the organisation’s use of data
- Design and optimize data models to enable a data-driven business from self-serve analytics to machine learning
- Own the architecture of our data platform
- Implement automated scoring to assure data quality and reliability
- Work closely with senior leadership across the business to solve their data problems
- Maintain legacy data platforms to ensure the business continues to run while delivering the future platform
- Ensure data is catalogued and documented
- Turn complex data problems into maintainable solutions
You should have:
- Experience managing high performing engineering teams and setting them up for success
- Ability to interface with the business and take their requirements to turn into project plans
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Strong experience with modern data engineering tools and practices
- Understanding of event-driven architectures
- Broad knowledge with cloud platforms and services – you’ll be primarily using AWS and Dagster
- Expert knowledge of data modelling and warehouse design
- Familiarity with infrastructure-as-code concepts
- Experience implementing data quality checks that matter
- Understanding of data lineage and metadata management
Most importantly, you should:
- Be curious about how things work and always looking to learn more
- Care about building reliable systems that make other people\’s jobs easier
- Understand that sometimes \”boring\” technology is the right choice
- Get satisfaction from cleaning up messy data problems
- Want to work somewhere where you can have real impact, not just maintain the status quo
Our Data Team Culture:
- We embrace modern data engineering practices and tools
- We champion learning and development
- We believe in empowering engineers to drive technical decisions
- We focus on impact and outcomes over process
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Industries
Primary and Secondary Education and Technology, Information and Media
Referrals increase your chances of interviewing at Twinkl Educational Publishing by 2x
Sign in to set job alerts for “Head of Engineering” roles.
Vice President of Engineering – ThriveCart
London, England, United Kingdom 5 months ago
London, England, United Kingdom 1 day ago
Livingston, Scotland, United Kingdom 2 days ago
Kelso, Scotland, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
Hampshire, England, United Kingdom 21 hours ago
Greater London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 month ago
City Of London, England, United Kingdom 6 days ago
Stratford-Upon-Avon, England, United Kingdom 2 weeks ago
City Of London, England, United Kingdom 1 week ago
London, England, United Kingdom 6 days ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Head of Data Engineering employer: Twinkl Educational Publishing
Contact Detail:
Twinkl Educational Publishing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Familiarise yourself with Twinkl's mission and values. Understanding their commitment to redefining education through data will help you align your experience and vision with theirs during discussions.
✨Tip Number 2
Network with current or former employees of Twinkl on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Head of Data Engineering role.
✨Tip Number 3
Prepare to discuss specific examples of how you've built and managed high-performing engineering teams. Highlighting your leadership style and success stories will demonstrate your capability to lead Twinkl's data engineering function.
✨Tip Number 4
Stay updated on the latest trends in data engineering, particularly around AWS and event-driven architectures. Being able to speak knowledgeably about these topics will show your passion and readiness to contribute to Twinkl's ambitious goals.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing engineering teams and your familiarity with modern data engineering tools. Use specific examples that demonstrate your ability to build scalable data platforms and solve complex data problems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with Twinkl's mission. Mention your leadership style and how you plan to develop a high-performing team while addressing immediate business needs.
Showcase Relevant Experience: When detailing your work history, focus on roles where you implemented data quality checks, managed cloud platforms like AWS, and designed data models. Highlight any projects that involved collaboration with cross-functional teams.
Demonstrate Your Curiosity: In your application, convey your eagerness to learn and adapt. Discuss how you stay updated with the latest trends in data engineering and how this curiosity has helped you solve data challenges in previous roles.
How to prepare for a job interview at Twinkl Educational Publishing
✨Showcase Your Leadership Skills
As a Head of Data Engineering, you'll be expected to manage and build a high-performing team. Be prepared to discuss your previous experiences in leading teams, how you foster collaboration, and the strategies you use to motivate engineers.
✨Demonstrate Technical Expertise
Familiarise yourself with modern data engineering tools and practices, especially those mentioned in the job description like AWS and Dagster. Be ready to discuss specific projects where you've implemented these technologies and the impact they had on the business.
✨Understand Business Needs
Twinkl is looking for someone who can interface with the business effectively. Prepare examples of how you've translated business requirements into technical solutions in the past, showcasing your ability to align engineering efforts with organisational goals.
✨Emphasise Problem-Solving Skills
The role involves turning complex data problems into maintainable solutions. Think of specific challenges you've faced in previous roles and how you approached solving them. Highlight your curiosity and desire to learn, as well as your satisfaction in cleaning up messy data issues.
