FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudPythonSQLTerraform
About the role
Key responsibilities & impact- Contribute to the development of a shared, reusable data engineering framework — including common pipeline patterns, DBT project structure, Terraform modules, and Python libraries — designed to be adopted consistently across all projects in the digital portfolio.
- Coach and enable other engineers and project teams on how to work with the framework, helping them onboard quickly, apply it correctly, and feed improvements back into the shared codebase.
- Implement data ingestion, transformation, and consumption pipelines on the Microsoft Fabric platform, following architectural patterns and best practices defined in close collaboration with the Staff Data Engineer.
- Build and maintain DBT models for data transformation and modelling, ensuring data quality, consistency, and reusability across B2B digital products.
- Develop and maintain Python-based data engineering components, including custom connectors, utility libraries, and pipeline orchestration logic.
- Manage and evolve infrastructure as code using Terraform, contributing to workspace provisioning, access control, and lifecycle management in line with platform standards.
- Participate actively in technical discussions with the Staff Data Engineer and product teams to translate requirements into well-scoped, implementable solutions.
- Implement monitoring, alerting, and observability for pipelines and DBT jobs.
- Share knowledge, support code reviews, and help establish engineering standards within the team.
Requirements
What you’ll need- 5+ years of experience in data engineering and the modern data stack, with a strong focus on practical, hands-on delivery.
- Proficient in Python and SQL, with solid experience building and maintaining scalable data pipelines and transformation logic.
- Hands-on experience with DBT for data modelling and transformation in an analytics or data platform context.
- Experience with Terraform or similar infrastructure-as-code tooling to manage cloud or platform infrastructure.
- Familiarity with cloud data platforms and modern data stack principles; experience with Microsoft Fabric or similar platforms (e.g. Databricks, Snowflake) is a plus.
- Experience designing or contributing to shared frameworks, reusable libraries, or internal tooling used across multiple teams or projects.
- Comfortable working within an established architecture and contributing to its evolution through close collaboration with senior and staff engineers.
- Strong sense of ownership, attention to data quality, and experience delivering solutions in environments with production SLA requirements.
- Affinity for knowledge sharing and coaching — you enjoy helping others understand and apply engineering best practices.
- Excellent collaboration and communication skills, with the ability to work effectively in global, cross-functional teams.
- Excellent proficiency in English, both written and spoken, to communicate and collaborate effectively with international stakeholders.
Benefits
Comp & perks- Our commitment to equality, diversity, inclusion & belonging
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDBTTerraformdata ingestiondata transformationdata consumptionpipeline orchestrationdata qualitydata modelling
Soft Skills
coachingknowledge sharingcollaborationcommunicationattention to detailownershipproblem-solvingteamworkadaptabilityleadership