Senior Data Engineer (GCP/Databricks)
Job Description
Leadtech is seeking a Senior Data Engineer to spearhead their data infrastructure development on Google Cloud Platform (GCP). This role combines cutting-edge cloud technologies with data engineering expertise, focusing on building scalable data pipelines using Databricks, BigQuery, and various GCP services. The position offers a blend of technical challenges and architectural responsibilities, from implementing ETL/ELT processes to maintaining data quality standards. With a flexible remote work policy and comprehensive benefits package, this role presents an opportunity to join a company that values work-life balance and professional growth. The ideal candidate will bring 3+ years of data engineering experience and strong technical skills in cloud computing, while contributing to a team dedicated to delivering exceptional user experiences. The role offers competitive compensation, professional development opportunities, and a collaborative work environment with the option to work remotely or from their Barcelona office.
Responsibilities For Senior Data Engineer (GCP/Databricks)
- Define and implement overall data architecture on GCP, including data warehousing in BigQuery
- Design, build, and optimize ETL/ELT pipelines using Apache Airflow
- Implement dbt transformations to maintain version-controlled data models
- Implement event-driven or asynchronous data workflows between microservices
- Enforce data quality standards using Great Expectations
- Integrate with Looker for data visualization and insights
- Maintain Data Mart environments for specific business domains
Requirements For Senior Data Engineer (GCP/Databricks)
- 3+ years of professional experience in data engineering, with 1 year in mobile data
- Experience with BigQuery and Google Cloud Storage-based data lakes
- Deep knowledge of Apache Airflow and ETL/ELT design
- Strong coding capabilities in Python, Java, or Scala
- Experience with Docker and Kubernetes
- Hands-on with CI/CD pipelines and DevOps tools
- Proficiency in Great Expectations
- Expertise in data lineage, metadata management, and compliance
- Strong understanding of OLTP and OLAP systems
- Excellent communication skills
Benefits For Senior Data Engineer (GCP/Databricks)
- Flexible career path with personalized internal training
- Annual budget for external learning
- Flexible schedule with flextime
- Full remote or office option
- Free Friday afternoons
- 35-hour workweek in July and August
- Competitive salary
- Private health insurance including dental and psychological services
- 25 days vacation plus birthday off
- Office perks: free coffee, fresh fruit, snacks, game room, rooftop terrace
- Ticket restaurant and nursery vouchers
