Senior Data Engineer Databricks

Itransition provides data engineering solutions for clients in the Operational Risk Management domain, including scalable architectures and pipelines tailored to business needs.

• Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions;
• Build medallion architecture and strong canonical models for ORM;
• Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks;
• Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints;
• Champion data governance, security, and compliance standards;
• Produce clear technical documentation and lead knowledge transfer sessions that enable client teams to operate independently;
• Support project scoping, estimation, and reporting with delivery managers and consultants.

• 5+ Years of hands-on data engineering experience, ideally within a consulting or client-facing environment;
• Hands-on experience with Databricks Lakehouse Platform;
• Strong SQL skills and proficiency in Python;
• Experience designing and deploying solutions in cloud environments;
• Ability to quickly grasp diverse business domains and adapt technical solutions accordingly;
• Strong communication skills to interact with both technical and non-technical client stakeholders;
• Experience working in agile, fast-paced project environments with shifting priorities;
• Nice to have: Experience with Snowflake, Databricks or Snowflake certifications such as SnowPro Core or Databricks Certified Data Engineer, familiarity with BI tools such as Power BI, Tableau, or Looker, previous experience in finance, healthcare, retail, or manufacturing.

• Competitive compensation that depends on qualification and skills;
• Career development system with clear skill qualifications;
• Flexible working hours aligned to the candidate's schedule;
• Options to work remotely.