Senior Data Engineer (Databricks)

About the role

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. The role involves working closely with analysts and stakeholders to ensure high‑quality data for reporting and analytics. You will be responsible for continuously improving our data stack and engineering practices.

Key responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines from internal systems, APIs, and external sources.
• Develop and optimize data architectures, warehouses, and storage solutions.
• Clean, validate, and transform raw data for downstream analytics and reporting.
• Write and optimize complex SQL queries and data models.
• Manage and monitor data workflows, performance, and reliability.
• Ensure data quality, integrity, consistency, and security across systems.
• Collaborate with analysts and stakeholders to support reporting and business intelligence requirements.
• Automate repetitive data processes and improve workflow efficiency.
• Maintain documentation for pipelines, datasets, schemas, and infrastructure.
• Continuously evaluate and improve the data stack, architecture, and engineering practices.

Required profile

• 5+ years of experience in data engineering or related roles.
• Strong problem‑solving and debugging skills.

Required skills

• SQL and database optimization
• Databricks or similar data processing platforms
• Snowflake, BigQuery or Redshift
• Python for data processing and automation
• Airflow or comparable workflow orchestration tools
• Data modeling, warehousing and scalable architecture design
• Spark, Kafka or real‑time data streaming tools (nice‑to‑have)