Data Engineer
leadtechBarcelona, Catalonia, Spain • Barcelona, Catalonia, Spain
Posted July 29, 2025
Full Time
About the Company
At Leadtech, we work hard... and play harder! Our mission is to bring forward new business ideas and empower employees to achieve their goals in the online business world. Since 2009, we have been fostering innovative and creative techniques across many industries, making us pioneers in online project management. Leadtech is dedicated to constant improvement and inspiring new ideas daily for the world we live in and the future to come. We think big... and work bigger, and that's why we do business internationally with over 600 passionate professionals who speak over 15 languages fluently. A global team of focused experts in a range of fields: We analyze, we socialize, we write, we code, we design, we calculate, we decide, we collaborate, we generate, we engage, we program, we create… The real question is what don’t we do?! With a truly modern approach to company culture, our values, diversity, flexibility and an active work-play balance are what make Leadtech unique.
Job Description
Leadtech is seeking a Senior Data Engineer to design, develop, and optimize their data infrastructure using Google Cloud Platform (GCP). This role involves architecting scalable pipelines, utilizing tools like Databricks, BigQuery, and Dataflow, and ensuring high availability and performance. The engineer will also build and maintain a Data Mart environment and implement CI/CD practices.
Requirements
- 3+ years of professional experience in data engineering, with at least 1 year in mobile data.
- Proven track record building and maintaining BigQuery environments and Google Cloud Storage-based data lakes.
- Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT design.
- Experience implementing dbt for data transformations, RabbitMQ for event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data pipelines.
- Familiarity with designing and implementing Data Mart (Data Mach) solutions, as well as using Terraform for IaC.
- Strong coding capabilities in Python, Java, or Scala, plus scripting for automation.
- Experience with Docker and Kubernetes (K8s) for containerizing data-related services.
- Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible, Jenkins, GitLab CI) to manage infrastructure and deployments.
- Proficiency in Great Expectations (or similar) to define and enforce data quality standards.
- Expertise in designing systems for data lineage, metadata management, and compliance (GDPR, CCPA).
- Strong understanding of OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems.
- Excellent communication skills for both technical and non-technical audiences.
- High level of organization, self-motivation, and problem-solving aptitude.
- Machine Learning (ML) Integration: Familiarity with end-to-end ML workflows and model deployment on GCP.
Benefits
- Competitive salary
- Flexible schedule
- Comprehensive benefits
- Unique Perks
