Build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives.
Maintain and refactor existing codebases, developing modular components.
Ensure high-quality, performant datasets for analytics and reporting use cases.
Maintain, optimize, and automate existing code repositories in GitHub.
Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
Design and build modular, reusable code components to support multiple journeys and reduce duplication.
Develop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting.
Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views.
Collaborate with analytics and engineering teams to improve data processes and architecture.

Strong experience working with GitHub repositories and version control workflows.
Hands-on experience developing and maintaining data pipelines in Databricks.
Proven experience refactoring and maintaining legacy codebases.
Strong understanding of data modeling and reusable component design.
Experience building scalable data models for analytics and reporting use cases.
Strong focus on data quality, performance, and reliability.
Ability to work in cross-functional environments and contribute to continuous improvement.
Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision.
Excellent written and verbal English for clear and effective communication.

📚Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
👨🏽‍💻Travel opportunities to attend industry conferences and meet clients.
👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.

Lead Data Engineer

Key skills