Data Engineer

• 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.

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.

• 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.

• 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.

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.