Lead Data Engineer, Portugal

Zego
London, UK
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£80,000.0 - £100,000.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Amazon S3 Data Analysis Apache HTTP Server Big Data Code Review Continuous Integration Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL)
+16 more
Data Security Python (Programming Language) Machine Learning SQL Databases Data Streaming Snowflake Apache Spark Build Management Kubernetes Apache Kafka Data Management Machine Learning Operations Terraform Stream Processing Data Pipelines Docker

Job description

We’re looking for a Lead Data Engineer to be a technical authority within our data engineering function, helping to shape and evolve our data platform to meet Zego’s ambitious growth.

This is a hands-on technical role- you’ll design and build scalable, resilient, and secure data systems, while acting as a mentor and technical guide for other engineers. You’ll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient, reliable, and future-proof.

While this role doesn’t involve direct line management, you’ll be expected to foster technical excellence within the team by sharing knowledge, reviewing code, and coaching others.

What you will be doing

Technical Leadership & Mentorship

  • Act as a senior technical reference point for the Data Engineering team.
  • Mentor and coach other engineers, helping them grow their technical skills and deliver high-quality work.
  • Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.

Platform & Architecture

  • Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.
  • Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.
  • Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.

Collaboration & Delivery

  • Partner with teams across the business to understand requirements and translate them into robust technical solutions.
  • Identify opportunities for optimisation, re-architecture, or tool improvements.
  • Contribute to the definition and execution of the technical roadmap for data engineering., Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It’s about finding the balance between face time and focus that produces great work and a healthy life around it.

We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It’s a serious investment and consistently one of the best parts of the year.

Requirements

You’re a hands-on engineer who thrives on solving complex problems and helping others do their best work. You bring technical depth, a pragmatic mindset, and a collaborative approach to everything you do., * Experience: 5+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.

  • Technical Skills:
  • Proven expertise in designing, building, and operating ETL/ELT pipelines and large-scale data architectures.
  • Deep hands-on experience with modern data stacks - our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).
  • Collaboration: Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.
  • Mentorship: Demonstrated experience in supporting the growth of other engineers through code reviews, pairing, and knowledge sharing.
  • Problem-Solving: Pragmatic approach to balancing technical excellence with delivery needs.

Nice to Have:

  • Experience building Data Mesh or Lakehouse architectures.
  • Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).
  • Exposure to ML engineering pipelines or MLOps frameworks.

Benefits & conditions

Location Portugal Compensation package €80,000 - €100,000 base + Bonus + Share Options + Benefits Ways of working remote with quarterly visits to our London office, Market-competitive salary, benchmarked against your function and reviewed every year.

Annual performance bonus, linked to company performance and your contribution.

Share options, a real stake in the company and a share in the future you build

Private medical insurance.

Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.

Cutting-edge systems and tools, so you always have what you need to drive your impact.

Ready to do the most impactful work of your career? We want to hear from you.

About the company

About Zego

At Zego, we’re on a mission to do the good thing, not the insurance thing.

Insurance hasn’t changed much in over a century. The way we live, work and travel has. We’re building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.

We’re not just updating insurance; We’re leading the AI evolution in insurance

For us, AI isn’t a line on a roadmap or a buzzword on a slide. It’s our operating reality, and it’s how we build products that back drivers instead of the old insurance playbook.

We don’t do things slowly, and we don’t do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You’ll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.

Do not take our word for it. Read what Zegons say about us on Glassdoor.

If you’re ready to build the future of insurance, we’re hiring.

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