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For Companies At a Glance
- Tasks: Design and develop scalable data architecture to support innovative learning tools.
- Company: Join Genio, a fast-growing SaaS company transforming education for students worldwide.
- Benefits: Competitive salary, generous leave, flexible hours, and a supportive work environment.
- Why this job: Make a real impact on education while working with cutting-edge data technologies.
- Qualifications: Extensive experience in data engineering, Python proficiency, and cloud expertise.
- Other info: Dynamic team culture with opportunities for continuous learning and career growth.
The predicted salary is between 51000 - 66000 ÂŁ per year.
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.
Meet the Team
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.
What you’ll be doing
- 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.
About you
- 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.
- DataOps 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.
Salary and benefits
- £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.
Location
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 recruitment@genio.co with questions before you apply.
What to expect next
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:
- Screening interview with the Recruitment team (30 min).
- Technical test – 1 week to complete, no longer than 3 h.
- Interview with Head of Data and another data team member, covering competency-based questions and a task review.
- Final stage interview – 1 h culture and values interview with Head of Data and another Genio team member.
Ahead of your interviews you’ll receive a confirmation email with details and any preparation you’ll need.
Interested in learning more? Here are a few resources: About Genio, Working at Genio Blog, The Genio Study Tools.
Not quite the right role? Let’s connect! Reach out to recruitment@genio.co and we’ll add you to our network and keep you updated with future opportunities.
Our Commitment to Equality
We are committed to equality of opportunity for all staff. 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 understand how we use and handle your personal information. By submitting your application, you confirm you’ve read and understood our privacy notice.
Senior Data Engineer in Leeds employer: Genio
Contact Detail:
Genio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at Genio on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with GCP and Databricks. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 3
Show off your passion for data! During interviews, share examples of how you've driven innovation in past roles. We love candidates who are lifelong learners and can demonstrate their curiosity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Genio.
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Python, GCP, and data architecture, as these are key areas we’re looking for!
Showcase Your Projects: Include specific examples of projects where you've built scalable data systems or implemented low-latency solutions. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical expertise and how it aligns with our needs at Genio.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and get the ball rolling on your journey with Genio!
How to prepare for a job interview at Genio
✨Know Your Data Stack
Make sure you’re well-versed in the data technologies mentioned in the job description, especially GCP, Databricks, and Python. Brush up on your knowledge of ELT processes and be ready to discuss how you've implemented low-latency solutions in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Think about times when you had to troubleshoot data pipelines or optimise performance. This will demonstrate your detail-oriented nature and ability to communicate complex issues effectively.
✨Emphasise Collaboration
Since the role involves working closely with various teams, be ready to talk about your experience collaborating with product and engineering teams. Highlight any successful projects where teamwork led to innovative data solutions, showcasing your ability to drive technical innovation.
✨Stay Curious and Up-to-Date
Genio values lifelong learners, so express your enthusiasm for experimenting with new tools and frameworks. Share any recent learning experiences or certifications that relate to data engineering, as this shows your commitment to staying at the forefront of the industry.
