Senior Data Engineer (Databricks)

Quick Facts

• Role: Senior Data Engineer (Databricks)

Description

Design, develop, and maintain scalable data ingestion and transformation pipelines. Build metadata-driven processing frameworks across landing, Bronze, Silver, and analytical consumption layers. Implement ETL/ELT, reconciliation, validation, automated testing, monitoring, and CI/CD-driven engineering practices.

Responsibilities

• Design, develop, and maintain scalable data ingestion and transformation pipelines

• Build metadata-driven data processing frameworks and reusable engineering components

• Develop and maintain data flows from landing through Bronze and Silver to analytical consumption layers

• Create and optimize ETL/ELT processes supporting enterprise data products

• Implement reconciliation, data validation, and automated testing capabilities

• Support development of data product delivery frameworks and engineering templates

• Participate in source-focused and domain-focused delivery pods

• Collaborate with data modelers, BI engineers, platform engineers, architects, and client stakeholders

• Support migration of legacy data processing workloads and analytical assets

• Develop monitoring, logging, and operational support mechanisms for data pipelines

• Contribute to CI/CD-driven engineering practices and automation initiatives

• Support knowledge transfer and handover activities to client engineering teams

• Contribute to data quality, troubleshooting, and performance optimization activities

Requirements

• Strong experience building data pipelines and transformation solutions

• Hands-on experience with Databricks

• Strong SQL skills and experience working with large-scale datasets

• Experience implementing ETL/ELT processes in cloud environments

• Experience developing data integration and transformation frameworks

• Familiarity with modern data architecture concepts, including Bronze, Silver, and Gold layers

• Experience with automated testing, reconciliation, and data quality processes

• Knowledge of software engineering best practices, version control, and CI/CD principles

• Ability to work in cross-functional delivery teams

• Strong analytical, troubleshooting, and problem-solving skills

• Effective communication and stakeholder collaboration skills

• Experience delivering solutions in enterprise-scale environments

• Work from the European Union region and have a work permit

Benefits

Work on enterprise data engineering initiatives using modern cloud and data platforms with an engineering excellence delivery approach.