Rodeo
Get started

Preply

Data Engineer

London
Posted about 22 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

At Preply, the Data Ingestion and Enrichment team provides a single, trusted, and scalable data foundation. The team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply's Lake House, including the extraction, normalization, and generation of structured data from Preply's unstructured assets, forming a durable data moat for AI-driven products.

As a Data Engineer in the Data Ingestion and Enrichment team, you will build and contribute to the data layer that powers both Preply's analytics, machine learning, and product. You will work closely with ML Platform, Applied/Data Scientists, Analytics Engineering, and Product squads to ensure that features, datasets, and pipelines are production-ready, observable, and reusable within the team.

What you'll be doing:

  • Contribute to trusted ingestion & enrichment foundations (Data Lake and Data as a Product):

    • Build and maintain components of Preply's data lake. Ensure every dataset has clear ownership, purpose, schemas, and quality expectations from first ingestion through downstream consumption by analytics, product, and ML teams. Treat trust, correctness, and predictability as first-class features of the platform.
  • Develop end-to-end ingestion pipelines (batch & streaming):

    • Build and operate reliable batch and streaming ingestion pipelines that support both real-time and analytical use cases. Contribute to defining clear raw → standardized → consumption layers with explicit responsibilities, lineage, and retention strategies. Balance performance, cost, and reliability as the platform scales.
  • Data quality, contracts & early validation:

    • Implement data contracts between producers and consumers, covering schema, freshness, volume, and quality guarantees. Embed validation, anomaly detection, and quality checks early in the ingestion lifecycle to catch issues before they propagate. Apply standardized quality metrics.

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.

Start with a chat, not a search bar

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.

P

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.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

See breakdown
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.

See breakdown
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.

  • Enrichment, modeling & lifecycle management:

    • Build enrichment logic that joins, standardizes, and contextualizes data across domains using shared definitions and reusable patterns. Support historical tracking, point-in-time correctness, and dataset versioning so downstream users can confidently analyze changes and impacts over time.
  • Observability, reliability & operational excellence:

    • Instrument ingestion pipelines with strong observability: freshness, latency, data quality, and cost metrics. Contribute to SLOs, alerting, and incident response playbooks so data failures are visible, diagnosable, and recoverable. Help move the platform from reactive firefighting to proactive reliability management.
  • Governance & compliance by design:

    • Apply consistent access control, classification, and privacy protections at ingestion time. Ensure sensitive data is properly masked, minimized, or anonymized by default, and that all data flows you own are auditable and traceable.
  • Enable self-service & standardization:

    • Contribute to standardized ingestion templates, shared libraries, and platform tooling that enable teams to onboard new data sources independently. Improve discoverability, documentation, and metadata so datasets you own are easy to find and trust without relying on tribal knowledge.
  • Cross-team collaboration & ownership:

    • Work closely with Product, Backend, Analytics, and ML partners to align on ingestion requirements and trade-offs. Build strong working relationships across teams. Mentor junior team members and actively contribute to a culture of shared data quality standards and data contracts.

What you need to succeed:

  • Hands-on experience building components of large, high-scale applications (e.g., data pipelines, well-structured APIs, efficient algorithms).
  • Solid experience working in platform or data engineering teams (or equivalent) with the ability to deliver within a multi-stakeholder environment.
  • Familiarity with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices.
  • Hands-on experience designing and implementing real-time and batch data processing pipelines using modern frameworks like Spark, Flink, Spark Streaming, Kafka, Debezium, etc.
  • Experience with orchestration tools such as Airflow, dbt, or similar.
  • Exceptional problem-solving skills paired with a proactive, innovative mindset focused on continuous improvement.
  • Strong communication and cross-functional collaboration skills (English level B2+)

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Why you’ll love it at Preply:

  • An open, collaborative, dynamic, and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development.
  • A competitive financial package with equity, leave allowance, and health insurance;
  • Access to free mental health support platforms;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Data engineering
Data pipelines
AWS
GCP
Spark
Flink
Kafka
Debezium
Airflow
Dbt
Data modeling
Data quality
DevOps
API development
Cloud platforms
Data governance

Location

London, England, United Kingdom

Sign up to applySee more jobs like this