Contract Opportunity: Data Engineer (DBT, Databricks, Azure) – Remote We’re hiring a skilled Data Engineer for a 6-month fully remote contract to support our growing data team. You'll work on mission-critical data transformation pipelines using DBT , Databricks , and Azure . What you’ll do: Design and build scalable, maintainable data models using DBT Develop efficient pipelines across cloud infrastructure Integrate and transform diverse data sources for analytics Collaborate with analysts, scientists, and QA teams to ensure data accuracy What we’re looking for: Proven experience with Databricks and Spark Strong knowledge of Azure data services Familiarity with Git , version control, and CI/CD for data workflows Solid problem-solving skills and attention to data integrity Location: Fully Remote (Preference for India-based candidates) Duration: 6 months rolling

Job Description We are urgently seeking a skilled Data Engineer with expertise in DBT , Databricks , and Python to design, build, and maintain scalable data transformation pipelines. The ideal candidate will have a strong understanding of modern data architectures and hands-on experience with cloud-based tools and frameworks. Responsibilities Design and implement robust and scalable data models using DBT Build and maintain efficient data pipelines for transformation and integration Work with multiple data sources, ensuring seamless ingestion and transformation Collaborate closely with data analysts, data scientists, and data quality teams Ensure best practices in code versioning, testing, and documentation Required Skills Strong experience with DBT (Data Build Tool) Hands-on experience with Databricks Proficiency in Python for data engineering tasks Experience integrating and transforming data from various sources Good communication and collaboration skills

Remote GCP / Python Data Engineer We're currently hiring for a remote, long-term freelance opportunity with a European data team, and we're looking for a Data Engineer with strong experience in DBT, GCP, and Python . 🛠️ Key Responsibilities Design and implement scalable data models using DBT Develop and maintain data pipelines on Google Cloud Platform Write clean, maintainable Python code for custom data processing Integrate diverse data sources and ensure high-quality transformation Collaborate with analytics and data science teams to ensure data usability and accuracy ✅ Requirements Hands-on experience using DBT in production Proficiency in GCP data services (BigQuery, Cloud Functions, etc.) Strong Python scripting skills for ETL and automation Good understanding of Git and collaborative workflows Excellent communication and remote working skills