Senior Data Engineer

About Genio

We’re Genio. We create beautifully simple learning tools that boost knowledge, skills, and confidence. We’re a SaaS scale‑up and one of the fastest growing tech companies in the North, with 100+ people around the UK and HQ in Leeds. Our software is award‑winning and used by 100,000s of students at over 800 universities & colleges worldwide.

We’re growing to support 1 million students becoming better learners by 2030.

As a Senior Data Engineer at Genio you’ll own the maintenance and development of our data architecture and platforms, building a scalable data platform to support analytical and product development. You’ll champion a culture of data‑driven innovation and continuous improvement.

You’ll work in the Technology function with Engineering, Product, Product Marketing, UX and Data squads. You’ll collaborate closely with Data Engineers, Analysts, and teams across the business such as Customer Experience, Learning, and Engineering.

• Design and 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: oversee the end‑to‑end ingestion process using Airbyte + Python, transforming raw data into actionable datasets.
• Operationalise data (Reverse ETL): sync processed data back into SaaS tools to drive business workflows and automation.
• Drive technical innovation: keep our data stack at the leading edge by evaluating and implementing emerging tools and frameworks.
• Collaborate on product integration: partner with product and engineering teams to embed data solutions directly into our core offerings.

• Seasoned engineer: extensive experience building production‑grade data systems, thriving in a senior or lead capacity.
• Python expert: highly proficient in Python to build robust data processes and applications.
• Cloud & lakehouse native: strong grasp of GCP/AWS and expert in navigating Databricks (or similar) ecosystems.
• Streaming specialist: proven experience with Kafka, Flink or equivalent, delivering near‑real‑time or real‑time data solutions.
• Data Ops advocate: embraces CI/CD, containerisation (Docker/K8s) and automated testing; considers a task “done” only when observable and repeatable.
• Architectural thinker: in‑depth knowledge of database internals, data warehousing and modern data lake design.
• Detail‑oriented & communicative: sharp eye for small things that break pipelines and ability to explain complex trade‑offs to non‑technical partners.
• Lifelong learner: naturally curious, experimenting with and adopting the latest industry frameworks.

Not every item is essential, but they indicate what we value day‑to‑day.

• £61,000 – £76,000, 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‑week maternity and 4‑week paternity (fully paid).
• 2 volunteering days per year.
• Health cash plan (from glasses to massages).
• 6 % employer pension contribution.

Our office is in Leeds, and we typically operate a hybrid way of working. Some roles support remote working within the UK if you live more than 50 miles from the office. We will discuss ways of working at interview and you can contact  with questions before you apply.

We’ll review your application and respond from Monday 5th January onwards. If your application is not successful, we appreciate the news you’d hoped for.

If invited to interview, the process will look like: