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Jobs(26,955)/Data Engineer Role(603)/zego (26) - Lead Data Engineer, Portugal
zego

zego - Lead Data Engineer, Portugal

Lisbon, Porto, Portugal, Hybrid€80k - €100k/year+ Equity3w ago
In OfficeStaffEMEACloud ComputingData AnalyticsData EngineerAWSSnowflakePythonSQLAirflow

Requirements

• 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. • Experience: 5+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments. • 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. • 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. • THE ZEGO WAYS OF WORKING 🏡 • 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. • Here is what the last one looked like https://www.youtube.com/watch?v=QKOYDx6AMxQ.

Responsibilities

• Technical Leadership & Mentorship • Act as a senior technical reference point for the Data Engineering team.

Benefits

• 💰 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. • Zego, leading the AI evolution in insurance. • EQUAL OPPORTUNITIES 🌈

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