At a Glance
- Tasks: Build and maintain data infrastructure for a mission-driven EdTech platform.
- Company: AI-first data and analytics platform transforming education with innovative technology.
- Benefits: Competitive salary up to £70k, flexible remote work, and meaningful impact.
- Other info: Join a rapidly growing team with excellent career growth opportunities.
- Why this job: Shape data strategy and make a real difference in the education sector.
- Qualifications: Experience in Python, Airbyte, Apache, BigQuery, and data engineering.
The predicted salary is between 70000 - 70000 € per year.
Looking to help shape Data Strategy for a scaling Tech-for-Good business? I'm partnered with an AI‑first data and analytics platform built for schools, multi‑academy trusts and education groups. Their technology connects fragmented school data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi‑agent AI system to surface actionable insights for school leaders in seconds.
They are in a high‑growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The team is mission‑driven, remote‑first, and growing quickly - every hire has very meaningful impact.
They are looking for a Senior Data Engineer to build and maintain the data infrastructure that underpins the entire platform. You’ll own and extend the ELT pipeline - Airbyte (OSS) for extraction, Airflow on Astro for orchestration, dbt via Cosmos for transformation - and the BigQuery lakehouse beneath it, with a semantic layer on top. These are hands‑on, build‑and‑operate roles in a team that takes engineering quality seriously.
Core Responsibilities:- ELT Pipeline Ownership: Extend and maintain the Airbyte → Airflow → dbt → BigQuery pipeline.
- Connector Development: Build custom Airbyte OSS connectors for MIS systems and third‑party platforms.
- dbt Modelling: Design and maintain dbt models across bronze/silver/gold layers.
- Lakehouse Engineering: Own schema design, optimisation, partitioning and clustering in BigQuery.
- Pipeline Reliability: Ensure data quality, observability and freshness across all pipelines.
- Architecture Contribution: Help shape the evolving data platform as the product and dataset scale.
In return, you’ll get a competitive salary of up to £70k, and very flexible work arrangements across the UK.
Unfortunately we cannot offer sponsorship at this time.
Please contact me at (url removed) to discuss further!
Senior Data Engineer in London employer: Opus Recruitment Solutions
Join a mission-driven team at the forefront of EducationTech, where your role as a Senior Data Engineer will directly impact the lives of students and educators. With a remote-first culture that prioritises flexibility and work-life balance, you'll have the opportunity to shape data strategy in a high-growth environment backed by Innovate UK funding. Enjoy competitive compensation, meaningful work, and the chance to grow alongside a rapidly expanding company dedicated to making a difference in education.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the education tech space on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with ELT pipelines, Airbyte, and BigQuery. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data quality and pipeline reliability, as these are key for the role.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Airbyte, and BigQuery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about education tech and how you can contribute to our mission. Share your thoughts on data strategy and how you’ve tackled similar challenges in the past.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've built or maintained data pipelines. We love seeing how you approach challenges, especially when it comes to ensuring data quality and reliability.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Airbyte, and BigQuery. Brush up on your knowledge of ELT pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Highlight how you approached these problems, particularly in areas like pipeline reliability and schema design, to demonstrate your hands-on experience.
✨Understand the Company’s Mission
Since this role is with a Tech-for-Good business, take some time to understand their mission and values. Be ready to discuss how your work can contribute to their goals in education technology and how you align with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current data strategy, and future projects. This shows your genuine interest in the role and helps you assess if the company culture is the right fit for you.
