Data Engineer

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.