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Cognita Schools

Data Engineer

London
Posted about 21 hours ago
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About Cognita:

Cognita is a global leader in independent education. Founded in 2004, we are a growing community of 90 schools in 20 countries - in Europe, North America, Latin America, Asia and the Middle East - serving more than 100,000 students. Each of our schools are proudly unique, however our collective purpose is to create an environment where everyone can, "Thrive in a rapidly evolving world".

About the Role:

The Data Engineer will play a key role in building and maintaining Cognita’s modern data platform, developing robust and scalable data pipelines within our Azure Databricks environment. Working with data from a range of core systems, including HubSpot CRM, MIS, Finance and HR platforms, you will design, develop and optimise end-to-end data solutions that transform raw information into reliable, high-quality datasets for business use. Responsible for managing data across the bronze and silver layers of our medallion architecture, you will implement effective ingestion processes for structured and semi-structured data, ensure pipelines are resilient, observable and well-governed, and support evolving business requirements through strong data quality, monitoring and schema management practices. Collaborating closely with analysts, analytics engineers, platform engineers and the wider Group Data team, you will help deliver data models that meet organisational needs while maintaining high engineering standards through documentation, code reviews and CI/CD practices. This is an excellent opportunity for a hands-on Data Engineer who enjoys solving complex data challenges, working within a modern cloud-based technology stack, and translating business requirements into scalable and maintainable data solutions.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Working Arrangement: 4 days per week in London office, 1 day working from home.

To view the role profile, click here

Who We Are Looking For:

We are looking for a skilled and hands-on Data Engineer with proven experience designing and delivering production-grade data pipelines within modern cloud environments. You will have strong expertise in Azure Databricks, including PySpark, Delta Lake and Databricks Jobs, alongside excellent SQL skills and a solid understanding of medallion architecture principles. Comfortable working with data from CRM, MIS, Finance and HR systems, you will have experience building scalable ingestion frameworks using APIs and a range of structured and semi-structured data formats, including JSON, CSV and Parquet. You will be confident implementing data quality controls, managing schema changes, and using Git-based version control to support robust engineering practices. With a collaborative approach and strong problem-solving skills, you will be able to translate business requirements into reliable technical solutions and work effectively with both technical and non-technical stakeholders. A degree in Computer Science, Data Engineering, Information Systems or a related field, along with Azure certifications and ongoing professional development in cloud data technologies, would be advantageous.

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Benefits at Cognita:

  • Competitive salary based on experience
  • Private Medical Insurance & Healthcare Cash Plan
  • GPP Pension
  • Life Assurance
  • 25 days annual leave allowance (plus Bank Holidays)
  • Employee Assistance Programme
  • Employee Discounts Site
  • Professional Subscriptions

How to Apply:

Complete this application before the closing date. The Closing Date for Applications is: Sunday 18th October 2026

Cognita Schools is committed to safeguarding and promoting the welfare of children and young people. We expect all staff and volunteers to share this commitment. All appointments are subject to safer recruitment checks, including an enhanced DBS check. Our Safeguarding and Child Protection Policy is available on the school website. Details on Recruitment of Ex-Offenders is included within the Application Guidance.

We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background.

Early applications are encouraged, we reserve the right to interview and appoint prior to closing date for the right applicant.

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Location

London, England, United Kingdom

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