# Lead Data Engineer, Portugal

**Company**: Zego
**Location**: Portugal
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: €80K - €100K
**Category**: Engineering
**Industry**: Insurance

**Apply**: https://jobs.ashbyhq.com/zego/462f9659-c234-4182-a469-da202dfb6e35?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_41f251c1-562

## Description

We are 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.

**Responsibilities:**

- 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.

- 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.

- 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.

**Requirements:**

- 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.

- Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.

- Demonstrated experience in supporting the growth of other engineers through code reviews, pairing, and knowledge sharing.

- 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:**

- 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.

## Skills

### Required
- Python
- SQL
- Snowflake
- Apache Iceberg
- AWS S3
- PostgresDB
- Airflow
- dbt
- Apache Spark
- Terraform
- Docker

### Nice to have
- Kubernetes
- Kafka
- Kinesis
- ML engineering pipelines
- MLOps frameworks

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/zego/462f9659-c234-4182-a469-da202dfb6e35?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)