Senior Data Engineer
hace 2 días
Senior Data Engineer – Databricks Location: Spain (must be located in Spain) • Employment type: Full‑time • Seniority level: Mid‑Senior level • Job function: Information Technology • Industries: Architecture and Planning What We Offer Flexible work options, including fully remote or hybrid arrangements. A chance to accelerate your career and work with outstanding colleagues in a supportive learning community spanning 3 continents. Contribute your ideas to unique projects and make an impact by turning them into reality. Work/personal life balance through our workflow organization; decide if you work at home, in the office, or on a hybrid setup. Annual performance review and regular feedback cycles. Individual development plan and professional development opportunities. Educational resources such as paid certifications and unlimited access to Udemy Business. Local, virtual, and global team events. What You’ll Do Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform with a strong focus on Apache Spark, Delta Lake, and Unity Catalog. Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases. Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production‑grade solutions. Optimize performance and cost‑efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows. Establish and enforce best practices for data quality, governance, and security within the Databricks environment. Mentor junior engineers and contribute to the evolution of the team's Databricks expertise. What You’ll Bring Deep hands‑on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow. Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Solid understanding of distributed computing, data modeling, and performance tuning in cloud‑native environments. Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure‑as‑code (e.g., Terraform). A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems. Professional Spanish & English communication skills (C1‑level, written and spoken). About Us Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large‑scale data‑driven applications for major enterprises such as the European Central
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