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Senior Data Engineer

Twinkl Educational PublishingSheffield, England, United Kingdom

5 days ago

Job type

Full-time

Permanent

Job description

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Twinkl Educational Publishing provided pay range

This range is provided by Twinkl Educational Publishing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Job Title : Senior Data Engineer

Location : Fully flexible - remote, hybrid or office-based

Annual Salary : £60,000 - £80,000

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 a Senior Data Engineer, you'll build and maintain the robust data systems that power our analytics and operational needs. You'll work 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.

Data Engineering Team

You'll have the opportunity to work with modern data engineering tools and practices, while learning from experienced engineers. We offer the freedom to work in whatever way suits you best - whether that's remote, in our Sheffield office, or a mix of both. You're encouraged to contribute to architectural decisions, take ownership of key platform components, and develop your skills across the full data engineering spectrum. With our focus on impact over hours worked, you'll be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide.

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

What will you be doing?

As Our Senior Data Engineer, You Will

Build and maintain scalable data pipelines

Implement event streaming solutions

Design and optimize data models

Contribute to architectural decisions

Ensure data quality and reliability

Work closely with data scientists and analysts

Help establish engineering best practices

Help build and maintain our data catalog and documentation

Implement robust testing practices that give us confidence in our data

Contribute to data quality frameworks and standards

Turn complex data problems into maintainable solutions

What do we need from you?

Strong experience with modern data engineering tools and practices

Understanding of event-driven architectures

Experience with cloud platforms and services

Knowledge of data modeling and warehouse design

Strong SQL and Python skills

Experience with version control and CI / CD

Familiarity with infrastructure-as-code concepts

Understanding of data quality and testing approaches

Experience implementing data quality checks that matter

Understanding of data lineage and metadata management

Knowledge of testing practices for data pipelines

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

What’s in it for you?

A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process

Flexible working with fully remote and hybrid working options - early bird or night owl? No problem - our flexible working policy helps you work the hours that suits you best

33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave

An additional day of annual leave, a Me Day, to take time for yourself

Charity day to volunteer and support a registered charity of your choice

Westfield Health (including Health Club discount and Westfield Rewards discount and cashback)

Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business

4 x annual salary death in service life assurance

Enhanced pension after long service

Enhanced parental and adoption leave after long service

Quarterly awards designed to reward and recognise our wonderful Twinkl employees

Seasonal events for all UK employees so you can catch up with your new colleagues in person

Twinkl Subscription

How do we make it happen?

We like to keep things simple and clear, after an initial chat with our TA Partner the process is :

Initial 30 minute chat with the Head of Data Engineering so you can get to know more about the role.

Take-home technical test, which will involve some coding

60 minute technical interview - we’ll go over your tech test and talk about it in more detail. Then we’ll do a few competency based questions. You’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work.

60 minute behaviours interview - where we'll do some competency based questions and you’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work.

That’s it, we’ll review everything and let you know, either way you’ll be given feedback about your interview because we believe constructive feedback is always important.

At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Primary and Secondary Education

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Senior Data Engineer • Sheffield, England, United Kingdom