Senior Data Engineer - Hybrid Job - Barcelona

We Are Kadre LLC; Barcelona; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in the aviation industry, We Are Kadre LLC is seeking a Senior Data Engineer to join their fast-growing Data & AI team. The role involves building and maintaining data pipelines, collaborating with teams to drive innovation through AI, and ensuring data quality and governance. Qualified candidates will have a strong background in data engineering, proficiency in Python and SQL, and experience with AWS and Snowflake. Join us in accelerating the impact of Artificial Intelligence across businesses.

Formación

• 4+ years of experience in data engineering or similar roles.
• Strong skills in data warehousing, ETL, and integration.
• Experience with Python libraries for data processing.

Responsabilidades

• Design and optimize scalable data pipelines for ingestion and transformation.
• Develop efficient data models and ensure data quality and governance.
• Collaborate and mentor junior engineers in best practices.

Conocimientos

Data warehousing

ETL

Data modeling

Data quality

Python

SQL

Collaboration

Educación

Bachelor’s or Master’s degree in Data Engineering, Computer Science

Herramientas

Snowflake

AWS

Airflow

Docker

Kubernetes

Terraform

Descripción del empleo

About the Role
As a Senior Data Engineer, you’ll be responsible for building and maintaining robust, scalable data pipelines that transform raw information into reliable, actionable insights. You’ll collaborate closely with data scientists, analysts, and business stakeholders, contributing to high-impact AI and data science initiatives within the aviation industry.

Key Responsibilities

Data Engineering & Automation: Design, implement, and optimize scalable data pipelines for ingestion, transformation, and integration of data from multiple sources. Support the deployment of AI models into production through workflow automation.

Data Modelling & Transformation: Develop efficient data models and schemas aligned with analytics needs. Clean, enrich, and transform datasets for usability and performance in reporting and machine learning use cases.

Data Quality, Governance & Security: Define and enforce data quality standards. Proactively monitor and resolve data issues, ensuring compliance with data security and privacy regulations.

Collaboration & Mentoring: Work closely with cross-functional teams to gather requirements and deliver data solutions. Contribute to documentation and support the growth of junior engineers through knowledge sharing and best practices.

Requirements

Bachelor’s or Master’s degree in Data Engineering, Computer Science, or related fields.

4+ years of experience in data engineering or similar roles, with strong skills in data warehousing, ETL, and integration.

Proficiency in Python and SQL; experience with Python libraries for data processing.

Hands-on experience with Snowflake (or ClickHouse) and working within AWS environments.

Solid understanding of data modelling, governance, and quality best practices.

Strong communication and collaboration skills; comfortable in cross-functional teams.

Nice to Have

Experience with orchestration tools (e.g., Airflow, Prefect).

Familiarity with AMOS Database is a plus.

Knowledge of containerization (Docker, Kubernetes) and CI/CD tools (e.g., Jenkins, GitHub Actions).

Exposure to Infrastructure as Code (Terraform, CloudFormation).

Basic understanding of ML infrastructure and data science workflows.

Detalles

Kadre is working with a fast-growing Data & AI team within the aviation industry, supporting several leading airline and travel-related brands. Their mission is to accelerate the impact of Artificial Intelligence across multiple business units, driving innovation and generating value at scale through data-driven solutions.