Design, build and maintain cloud-native ETL/ELT pipelines and data lake solutions using dbt, Snowflake/Databricks and AWS services. Optimize SQL and data models for performance and cost, create dashboards, follow CI/CD and software engineering best practices, and collaborate with architects, engineers and clients to deliver production-ready enterprise data solutions.
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.
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.
About
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.
Nasstar Belfast, Northern Ireland Office
Belfast, United Kingdom
Similar Jobs
Financial Services
Design, build, maintain and evolve cloud data platform and ELT pipelines. Collaborate with stakeholders to provision, model and govern data, automate CI/CD, create data quality tests, and recommend new technologies.
Top Skills:
Aws CdkBigQueryBitbucketCopilotDbtDockerFivetranHvrJenkinsKimball MethodologyMongoDBMs SqlPythonRedshiftSnowflakeSnowflake CortexVisual Studio Code
Fintech • Financial Services • Quantitative Trading
Build production AI-powered tools, data pipelines, and internal full-stack applications that automate incident investigation, surface anomalies, and enable AI agents to interact safely with platform systems. Work across Python, TypeScript, Go and SQL, deploy on Docker/Kubernetes/AWS, and collaborate with TechOps, Connectivity, and Data teams to own, monitor, and improve shipped systems.
Top Skills:
AtlassianAWSClaudeClickhouseDockerGitGitGoJavaScriptKubernetesLinuxOpenaiPostgresPythonSlackSQLTypescript
Information Technology • Insurance • Professional Services • Consulting
Design, develop, and maintain ELT/ETL Snowflake data warehouse solutions; implement data standards, CI/CD, monitoring, and production support; collaborate with product, business, and vendors; mentor junior developers and improve data engineering practices.
Top Skills:
AzureCi/CdData LakeData WarehouseEltETLGitMdmPower BISnowflakeSQLSsisSsrs
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
