Senior Data Engineer, Genio
£61-76k
+ Share Options
More information about location
Learning tools boosting knowledge, skills and confidence
Open for applications
Learning tools boosting knowledge, skills and confidence
101-200 employees
Open for applications
£61-76k
+ Share Options
More information about location
101-200 employees
Company mission
To unlock better learning for everyone.
Role
Who you are
- 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: You’ve "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 don't consider a task "done" until it's 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
What the job involves
- As a Senior Data Engineer at Genio, you’ll play a key part in owning the maintenance and development of Genio’s data architecture and platforms.
- You’ll 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
- You’ll 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
- You’ll work closely with Data Engineers, fellow Analysts, and teams across the business like Customer Experience, Learning, and Engineering.
- You’ll report into our Head of Data and be part of the Data team’s mission to empower everyone at Genio to use data with confidence and clarity
- 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
Application process
- We’ll review your application and provide a response from Monday 5th January onwards. Even if it’s not the news you’d hoped for, we appreciate it’s good to know either way
- If we invite you to meet with us for interview, here’s an overview of what the process will look like:
- Screening interview with someone in our Recruitment team (30 minutes)
- Technical test; you will have 1 week to complete the test when it suits you best. The test isn’t timed but we suggest no longer than 3 hours
- Interview with the Head of Data and one other data team member. This consists of competency based questions and a task review
- 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 you’ll be meeting and when, anything you’ll need to prepare in advance and any resources we think you might find helpful
Our take
With education changing fast, Genio supports learning in the face of time pressures and other challenges, making studying easier and more effective. And it's trusted by hundreds of schools worldwide to boost not just grades but also motivation and confidence.
Genio understands that today's students come from all walks of life, so it has created tools that break down barriers and make learning easier. Their flagship app, Genio Notes, helps students capture and organise their notes with smart AI features, while Genio Present boosts confidence by giving students a safe space to practice presentations. With millions of learners, its tools are making a real difference.
Formerly Glean, Genio rebranded to reflect its growing focus on all types of learning, especially those that don't fit the traditional student mould. With research-driven innovation, a growing suite of AI-enhanced tools, and a deep understanding of what helps learning thrive, Genio is ready to lead the next wave of education technology.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Aug 2020
$0.3m
GRANT
Jan 2020
$0.5m
GRANT
Total funding: $0.8m
Company benefits
- 33 days annual leave (inclusive of bank holidays)
- 3 gifted days off at Christmas
- 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
- Nomad working policy with family travel insurance
- Enhanced 26 weeks maternity and 4 weeks paternity (fully paid)
- Health cash plan (from glasses to massages)
- 6% employer pension contribution
Company HQ
Leeds Dock, Leeds, UK
Leadership
Dave Tucker
(Founder & CEO)Previously co-founded Sonocent.
Salary benchmarks
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