Fr data engineer | senior

ABOUT THE OPPORTUNITY

We are looking for a Senior Data Engineer to join a hybrid delivery context in Lisbon, supporting data platform initiatives in the financial services sector. The role focuses on building scalable cloud-based data pipelines, enabling reliable data utilization and supporting data-driven decision making across technical and business teams.

WHAT YOU WILL DO

• Design, develop and maintain end-to-end ELT and ETL data pipelines for ingestion, processing and storage of large data volumes from multiple sources.
• Build and optimize data models, schemas, data lakes and data warehouse components on Google Cloud Platform.
• Develop Python-based transformations, automation tasks, orchestration workflows and data quality controls.
• Support the integration, deployment and operationalization of AI prediction models within cloud data pipelines.
• Plan and execute testing activities, including UAT, QA testing, data validation and release readiness checks.
• Collaborate with Data Engineers, Data Scientists, Analysts and business stakeholders in French and English.
• Implement monitoring, logging, alerting and data quality practices to support reliability and operational continuity.
• Ensure data governance, security, privacy and compliance requirements are considered across data solutions.
• Create and maintain technical documentation, data dictionaries, runbooks and test plans.
• Participate in code reviews, testing activities and Agile or Scrum ceremonies.

WHAT WE ARE LOOKING FOR

• 6 to 9 years of professional experience in data engineering, with advanced autonomy in complex delivery contexts.
• Strong Python development experience, including testing, packaging, performance considerations and clean code practices.
• Practical experience with Google Cloud Platform and cloud-native data engineering patterns.
• Hands-on experience building and maintaining data pipelines, data lakes or data warehouses.
• Practical experience or solid understanding of AI prediction models, data preparation for machine learning, feature engineering and MLOps principles.
• Professional working proficiency in English and advanced French proficiency, minimum C1, for technical collaboration with French-speaking teams and stakeholders.
• Strong problem-solving skills, attention to detail and ability to work autonomously while contributing to a collaborative team environment.
• Clear documentation habits and ability to explain technical concepts to technical and non-technical stakeholders.

TECHNICAL SKILLS

• Python
• Google Cloud Platform
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer
• Apache Airflow
• SQL
• ETL and ELT
• Data modeling
• Data lakes and data warehouses
• Data quality, monitoring, logging and alerting
• IAM, encryption and access controls
• Git
• CI/CD for data pipelines
• UAT and QA testing
• Agile and Scrum methodologies

NICE TO HAVE

• Google Cloud Professional Data Engineer certification or equivalent working knowledge.
• Experience with Vertex AI or production monitoring of AI prediction models.
• Experience with Spark or Databricks.
• Experience with Control-M or other enterprise scheduling tools.
• Experience with streaming data and real-time analytics.
• Knowledge of BI or data visualization tools such as Looker, Tableau or Power BI.
• Experience in regulated environments and knowledge of data privacy regulations such as GDPR.

COMPENSATION TRANSPARENCY

Base salary range: EUR 20 000 - EUR 40 000 gross/year

Total compensation: up to EUR 55 000/year

The salary range is based on objective and gender-neutral criteria, including required competencies, professional experience, level of responsibility and role requirements. Final compensation will be determined according to the candidate's profile and position requirements.

WHAT WE OFFER

• Private health insurance from day one, with no waiting periods and optional family extension.
• Confidential mental health support through TEAM 24, including psychological support, content and live sessions.
• Continuous learning and development opportunities to support long-term professional growth.
• Flexibility whenever the role and delivery context allow it.
• Childcare vouchers and practical support measures for personal and family balance.
• Team moments, shared milestones and leadership presence when it matters most.
• Upskilling opportunities in quality management, information security, AI governance and cybersecurity best practices where relevant to the role.

EQUAL OPPORTUNITY

Hexa is committed to equal opportunity and inclusive recruitment practices. We value diverse backgrounds, perspectives and experiences, in alignment with the principles of the Portuguese Diversity Charter.

HEXA LIFE

At Hexa, every professional is a Builder. We work with honesty, mutual support and agility, building projects, solutions and professional relationships with responsibility, transparency and a continuous improvement mindset.