Endava
Senior Data Engineer (GCP)
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines within GCP environments. The role involves implementing data transformation logic, ensuring data quality, and collaborating with cross-functional teams to deliver scalable data solutions.
- Compensation
- Not disclosed
- Location
- Cluj-Napoca, CJ, ro
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of professional experience in data engineering, analytics engineering, or related fields
- Proven hands-on experience with GCP services and architecture in production environments
- Advanced SQL proficiency
- Strong experience designing and building scalable ETL/ELT pipelines for cloud-based data platforms
- Proficiency in Python, Scala, or Java
- Expertise with data transformation and orchestration tools (dbt, Airflow, Matillion, Fivetran, or Informatica)
- Solid understanding of data modeling, data warehousing concepts, and dimensional design patterns
Nice to have
- GCP certifications
Full description
- Design, build, and maintain scalable ETL/ELT pipelines that ingest data from multiple source systems into GCP-based platforms
- Develop and implement data transformation logic using SQL, dbt, Python, or similar tools within GCP architectures
- Optimize GCP-based data solutions for performance, reliability, scalability, and cost efficiency
- Establish and enforce data quality checks, validation frameworks, and comprehensive monitoring for production pipelines
- Collaborate with data analysts, BI developers, data architects, and business stakeholders to translate requirements into scalable technical solutions
- Implement data governance, security controls, role-based access management, and compliance standards within GCP environments
- Drive CI/CD automation and deployment processes for data engineering workflows
- Create and maintain comprehensive technical documentation for all data systems and processes
- 5+ years of professional experience in data engineering, analytics engineering, or related fields
- Proven hands-on experience with GCP services and architecture in production environments
- Advanced SQL proficiency, including complex query development and optimization
- Strong experience designing and building scalable ETL/ELT pipelines for cloud-based data platforms
- Proficiency in Python, Scala, or Java for data processing and automation
- Demonstrated expertise with data transformation and orchestration tools (such as dbt, Airflow, Matillion, Fivetran, or Informatica)
- Solid understanding of data modeling, data warehousing concepts, and dimensional design patterns
- Knowledge of security best practices, access control mechanisms, and data governance frameworks
- Knowledge of performance tuning, workload management, and cost optimization strategies
- Familiarity with real-time or near-real-time data ingestion patterns
- Experience with data lineage, metadata management, and governance tools
- GCP certifications
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;