Senior Data Engineer

Hi were Genio.We create beautifully simple learning tools that boost knowledge skills and confidence.

• Were a SaaS scale up and one of the fastest growing tech companies in the North.
• Theres 100 of us around the UK with our HQ in Leeds.
• Our software is award-winning and used by 100000s of students at over 800 universities & colleges worldwide.
• Were growing so we can achieve our mission to support 1 million students to become better learners by 2030.

Join our growing team as a Senior Data Engineer at Genio!

As a Senior Data Engineer at Genio youll play a key part in owning the maintenance and development of Genios data architecture and platforms. Youll help build a scalable data platform to support both analytical and product development. This is an exciting time to join the data team as we look to champion a culture of data driven innovation and continuous improvement.

Meet the team:

Youll be joining the Technology function made up of Engineering Product Product Marketing UX and Data all working closely together in cross-functional squads to build the best product for our users.

Youll work closely with Data Engineers fellow Analysts and teams across the business like Customer Experience Learning and Engineering. Youll report into our Head of Data and be part of the Data teams mission to empower everyone at Genio to use data with confidence and clarity.

To give you an idea of who you may work closely with:

• Phil - Head of Data father of two under 3 and sports enthusiast
• Matt - Senior Analytics Engineer enjoys funky bass line and gifs occasionally makes ice cream
• Emma - Senior Data Analyst dog lover and currently on Mat leave
• Alex - Data Engineer loves Krav Maga furious knitter
• Nathan - Data Scientist AI and cooking enthusiast

What youll be doing:

• Design Develop Architecture: Architect and build scalable high-performance data structures within our GCP and Databricks Lakehouse.
• Lead Data-Latency Strategy: Implement and manage low-latency solutions to power near-real time analytical and product features.
• Own ELT Ingestion: Own the end-to-end ingestion process using Airbyte Python transforming raw data into actionable datasets.
• Operationalise Data (Reverse ETL): Close the loop by syncing processed data back into SaaS tools to drive business workflows and automation.
• Drive Technical Innovation: Ensure our data stack remains at the leading edge by evaluating and implementing emerging tools and frameworks as they become available.
• Collaborate on Product Integration: Partner with product and engineering teams to embed data solutions directly into our core offerings.

About you:

• A Seasoned Engineer: You have extensive experience building production-grade data systems and thrive in a senior or lead capacity.
• Python Expert: You are highly proficient in Python to build robust data processes and applications.
• Cloud & Lakehouse Native: You have an understanding of GCP/AWS and are an expert in navigating the Databricks (or similar) ecosystems.
• Streaming Specialist: Youve been there and done that with technology like Kafka or Flink successfully implementing near-real-time or real-time data solutions.
• DataOps Advocate: You believe in CI/CD containerisation (Docker/K8s) and automated testing; you dont consider a task done until its observable and repeatable.
• Architectural Thinker: You have an in-depth knowledge of database internals data warehousing and modern Data Lake design.
• Detail-Oriented & Communicative: You have a sharp eye for the small things that break pipelines and the ability to explain complex technical trade-offs to non-technical partners.
• Lifelong Learner: You are naturally curious and stay ahead of the curve by experimenting with and adopting the latest industry frameworks.

Not every one of the above is essential but hopefully it gives an idea of what we find useful day to day.

Salary and benefits:

61000 - 76000 dependent upon experience

33 days annual leave (Inclusive of bank holidays)

3 gifted days off at Christmas

EMI Share Options Scheme

Generous individual learning and training allowance

Truly flexible hours to suit when you work best

Full home working set up and beautiful collaborative office space

Free Leeds City Centre office parking

Nomad working policy with family travel insurance

Enhanced 26 weeks maternity and 4 weeks paternity (fully paid)

2 volunteering days per year

Health cash plan (from glasses to massages)

6% employer pension contribution

Location:

We have a beautiful office space in Leeds and we love it when we get together to collaborate in person. We typically operate a hybrid way of working however some of our roles support remote working within the UK if you live more than 50 miles from the office.

We will discuss ways of working with you at interview however if you have any questions before you apply please reach out to

What to expect next:

Well review your application and provide a response from Monday 5th January onwards. Even if its not the news youd hoped for we appreciate its good to know either way.

If we invite you to meet with us for interview heres an overview of what the process will look like:

1. Screening interview with someone in our Recruitment team (30 minutes).
2. Technical test; you will have 1 week to complete the test when it suits you best. The test isnt timed but we suggest no longer than 3 hours.
3. Interview with the Head of Data and one other data team member. This consists of competency based questions and a task review.
4. Final stage interview which includes a 1 hour culture and values interview. This will be with our Head of Data and another Genio team member.

Ahead of your interviews you will receive a confirmation email outlining who youll be meeting and when anything youll need to prepare in advance and any resources we think you might find helpful.

Interested in learning more about a career at Genio

Here are a few further resources:

About Genio

Working at Genio Blog

The Genio Study Tools

Not quite the right role for you however youd love to be a part of Genios journey

Lets connect! Reach out to and well add you to our network to keep you updated with any future opportunities we think you might be interested in.

Our Commitment to Equality

We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age disability sex gender reassignment sexual orientation pregnancy and maternity race religion or belief marriage and civil partnerships trade union membership and caring responsibilities.

Applicant Privacy Notice

We think its important that you understand how we use and handle your personal information so heres a link to our privacy notice. By submitting your application youre confirming that youve read and understood this notice.