Lead Data Engineer — Cloud Data Pipelines & ML (Hybrid)

SITA; Madrid; Híbrido; EUR 60.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flex工作安排

Remote work options

Professional development

Employee wellbeing

Descripción de la vacante

SITA is seeking a seasoned Data Engineer to help push the Air Transport Industry data to the next level. You will work with Data Pipelines, extracting data from Airports, Aircraft, and Ground Handlers to derive insights for ML models.

The role requires office presence three days a week near Madrid Airport or in Barcelona city centre, with collaboration across architecture, science, and business teams.

Formación

• 5+ years of experience with Big Data systems.
• Proficient in SQL and Python with clean coding and OOP practices.
• Cloud deployment experience (Azure preferred).
• Nice to have: Knowledge of data visualization tools (Power BI, Tableau).
• Nice to have: Strong understanding of dimensional modelling and data warehouse design.

Responsabilidades

• Collaborate on designing scalable cloud-based data architectures prioritizing performance, cost-efficiency, and security.
• Develop reference ingestion patterns and templates for integrating data from enterprise systems, APIs, and external datasets.
• Develop and maintain pipelines and provide guidance on ETL/ELT best practices for portfolio teams.
• Apply data governance, cataloguing, and quality monitoring to ensure trustworthy data.
• Collaborate with data architects, scientists, analysts, and stakeholders to translate requirements into technical solutions.
• Explore modern technologies (Databricks, AzureML, LLMs) to enable advanced analytics and AI/ML use cases.

Conocimientos

Big Data

Databricks

Spark

Event streaming

SQL

Python

Azure

Power BI

Tableau

Dimensional modelling

Herramientas

Databricks

AzureML

Kafka

Azure Event Hub

Descripción del empleo

SITA is seeking a seasoned Data Engineer to help push the Air Transport Industry data to the next level. You will work with Data Pipelines, extracting data from Airports, Aircraft, and Ground Handlers to derive insights for ML models.

The role requires office presence three days a week near Madrid Airport or in Barcelona city centre, with collaboration across architecture, science, and business teams.