At a Glance
- Tasks: Own and extend the ELT pipeline, ensuring data quality and reliability.
- Company: AI-first data platform transforming education with impactful technology.
- Benefits: Competitive salary up to £70k and flexible remote work options.
- Other info: Be part of a rapidly growing company with meaningful impact.
- Why this job: Join a mission-driven team making a real difference in education.
- Qualifications: Experience in Python, Airbyte, 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.
Remote Senior Data Engineer — ELT, Airbyte & BigQuery employer: Opus Recruitment Solutions
Join a mission-driven, remote-first team at the forefront of EducationTech, where your contributions as a Senior Data Engineer will directly impact the lives of students and educators. With a competitive salary of up to £70k, flexible work arrangements, and a commitment to employee growth, this is an excellent opportunity to be part of a scaling Tech-for-Good business that values engineering quality and innovation in data strategy.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer — ELT, Airbyte & BigQuery
✨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 projects, especially those involving Airbyte, BigQuery, or any ELT pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you’d tackle real-world challenges.
✨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 about their job search.
We think you need these skills to ace Remote Senior Data Engineer — ELT, Airbyte & BigQuery
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 our mission-driven approach and the tech-for-good ethos.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about education technology. Share specific examples of how you've contributed to data strategies in previous roles, especially in high-growth environments.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, include them! We love seeing hands-on experience, especially with ELT pipelines and data infrastructure.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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 ELT pipeline knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about specific instances where you improved pipeline reliability or optimised data structures. This will demonstrate your hands-on experience and ability to contribute meaningfully.
✨Understand the Company’s Mission
Familiarise yourself with the company’s mission in the education sector. Be ready to discuss how your skills can help shape their data strategy and support their goal of providing actionable insights for schools. This shows you're not just a techie but also aligned with their values.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current challenges they face, and how they envision the evolution of their data platform. This not only shows your interest but also helps you gauge if the company is the right fit for you.
