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Expleo

Data Engineer

Expleo Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

Yesterday
data-engineer Mid (2-5 yrs) Full-time Portugal
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About the role

Design, build, and operate enterprise-grade ETL and ELT pipelines to support AI, analytics, and reporting workflows. Collaborate with business and IT teams to translate requirements into robust data models and ensure data quality and governance.

What they look for

Python SQL Data modelling ETL ELT Azure Snowflake AWS Data engineering Data quality Data governance Orchestration Observability GenAI GitHub Copilot Cursor

Requirements

Requires strong experience with Python, SQL, and cloud-native data engineering on platforms like Azure and Snowflake. Candidates should be comfortable working in international settings and utilizing GenAI software engineering tools.

Full description

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Responsibilities

- Design, build, and operate enterprise-grade ETL and ELT pipelines for AI, analytics, reporting, and agentic workflow use cases;- Create clean, documented, reusable data products from operational, customer, logistics, sales, and other data sources;- Implement data quality checks, monitoring, lineage, metadata, and reliability patterns to make datasets trustworthy and production-ready;- Support integrations between Azure-based AI services, Snowflake, APIs, file-based sources, and selected AWS data services where needed;- Work with business and AI teams to translate use case requirements into data models, pipelines, and serving layers;- Collaborate with local IT and data owners to onboard new data sources while respecting data protection, access control, and governance requirements.

Essential skills

- Strong experience with Python, SQL, data modelling, ETL/ELT development, and production data pipelines;- Experience with cloud-native data engineering, ideally on Azure, with practical AWS exposure as a plus;- Experience with Snowflake or comparable cloud data platforms;- Understanding of data quality, orchestration, observability, access management, and governance in enterprise environments;- Ability to collaborate with data scientists, AI engineers, business stakeholders, and local IT teams in international settings;- Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate development.- Good English

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