Postes à Pamplona, Espagne

We are looking for a skilled Data Engineer to join a high-impact, data-driven project involving the integration of real-time data feeds from external vendors. The ideal candidate will have hands-on experience building and maintaining scalable data pipelines, working closely with Business Analysts and QA teams to ensure data accuracy, alignment, and auditability.

Key Responsibilities : Design, develop, and maintain robust data ingestion pipelines for processing real-time CSV or structured data files. Collaborate with Business Analysts to understand business logic and translate it into data models and transformations. Ensure high data quality and traceability across ingestion, transformation, and export processes. Work with QA engineers to validate data integrity and support downstream testing initiatives. Optimize pipeline performance and implement monitoring, error handling, and logging strategies. Document data structures, workflows, and dependencies clearly. Participate in sprint planning and agile ceremonies to align work with delivery targets.

Requirements : 8+ years of experience in Data Engineering or a related role. Strong proficiency in Python, SQL, and working with data integration tools or frameworks (e.g., Airflow, dbt, custom pipelines). Experience processing structured data formats such as CSV and working with real-time or near-real-time systems. Understanding of data architecture, ETL / ELT design patterns, and pipeline optimization techniques. Hands-on experience with cloud data platforms, particularly AWS and Azure. Comfortable collaborating with cross-functional teams including BAs, PMs, and QA engineers. Familiarity with version control (e.g., Git) and CI / CD workflows for data.

Nice to Have : Experience in the airline or travel industry. Knowledge of data governance, audit trail design, and regulatory compliance. Exposure to data warehousing solutions (e.g., Redshift, Snowflake, Synapse).

Nice-to-Have Qualifications : Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics)

What We'll Offer You In Return :

The chance to join an organisation with triple-digit growth that is changing the paradigm on how digital solutions are built. The opportunity to form part of an amazing, multicultural community of tech experts. A highly competitive compensation package. A flexible and remote working environment. Medical insurance.

Come and join our #ParserCommunity.