At Colibri Digital, we're at the forefront of AI, Big Data and Cloud technologies, helping global organisations solve complex data challenges. This is not an entry-level position. As a Data Engineer, you'll work alongside experienced architects and engineers to deliver modern cloud data platforms, scalable pipelines and analytics solutions for enterprise clients across a variety of industries. Every project is different, giving you the opportunity to continuously expand your technical expertise while working with cutting-edge technologies. This is a permanent, fully remote opportunity with long-term career progression as you grow within our Data Engineering practice. ### Key Responsibilities ## What You'll Do As a Data Engineer, you'll play an important role in designing, building and delivering cloud-native data solutions for enterprise clients. Your responsibilities will include: - Design, develop and maintain scalable ETL/ELT pipelines using dbt, Snowflake and/or Databricks. - Build and optimise cloud-native data lake solutions using Amazon S3. - Develop production-grade data pipelines using AWS services including Glue, Lambda, Step Functions or MWAA. - Build scalable data models that support analytics and business reporting. - Optimise SQL transformations and data processing for performance and cost efficiency. - Develop dashboards and reporting solutions using Databricks Dashboards, Snowsight or Amazon QuickSight. - Collaborate with architects, engineers and client stakeholders to deliver high-quality production solutions. - Follow software engineering best practices including version control, testing and CI/CD. ### Skills, Knowledge and Expertise ## What We're Looking For We're looking for Data Engineers with 3+ years of commercial experience delivering production data engineering solutions. You'll work with experienced architects and engineers to design, build and optimize modern cloud data platforms for enterprise clients. Essential Skills & Experience Strong hands-on experience with dbt is essential. This is a key requirement for the role, with proven experience developing data transformation models and implementing data modelling best practices using dbt. - 3+ years' commercial experience as a Data Engineer delivering production data solutions. - Strong SQL skills. - Strong Python programming experience. - Commercial experience using Snowflake or Databricks as enterprise data platforms. - Strong hands-on experience with dbt for data transformation and modelling. - Experience building and maintaining modern ETL/ELT pipelines. - Experience working within AWS cloud environments. - Experience building cloud-native data lake solutions using Amazon S3. - Experience using AWS-native orchestration and ingestion services such as AWS Glue, AWS Lambda, AWS Step Functions, or MWAA (Apache Airflow). - Experience designing and optimising data pipelines for performance, scalability and reliability. - Experience developing dashboards or reporting solutions using Databricks Dashboards, Snowsight or Amazon QuickSight. - Good understanding of data modelling principles. - Familiarity with Git and CI/CD practices. - Excellent communication skills with the ability to work collaboratively within technical teams and with client stakeholders. Desirable - Databricks certifications. - Snowflake certifications. - Experience working in consulting or client-facing environments. - Infrastructure as Code (Terraform or CloudFormation). - Knowledge of data governance and security best practices. - Experience working within Agile delivery teams. Please note: This role requires prior commercial experience delivering production data engineering solutions and is not suitable for graduates or candidates seeking their first Data Engineering position. ## We're Particularly Interested in Candidates Who - Have proven experience building data transformation models, implementing data modelling best practices and developing production-ready ELT pipelines using dbt. - Have experience delivering production data engineering projects rather than only academic or personal projects. - Can work independently while collaborating effectively within delivery teams. - Enjoy solving complex technical challenges. - Take ownership of their work from design through deployment. - Are passionate about continuous learning and developing new technical skills. ### Benefits ## Why Join Colibri Digital? - Fully remote working. - Work on exciting enterprise-scale projects across multiple industries. - Modern Azure and Databricks technology stack. - Access to AWS, Microsoft and Databricks certifications. - Work alongside highly experienced architects and engineers. - Clear career progression into Senior Data Engineer and beyond. - Collaborative engineering culture focused on technical excellence. - Competitive salary and benefits.