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Company: PYGIO
Engagement: Contract
Duration: 5 months
Project: Data Platform & Reporting Transformation
Location: Remote
PYGIO is looking for a Senior Data Engineer to join a data transformation project focused on building a future-state data platform and delivering a scalable MVP.
This is a highly technical role focused on modern cloud-based data engineering, data platform architecture, scalable pipelines and automation.
You will be responsible for designing and implementing the foundations of a modern data environment, while working closely with business, analytics and technical stakeholders to turn requirements into scalable, reusable solutions.
Design and build the future-state data platform MVP.
Develop scalable data pipelines and transformation processes.
Implement automated data ingestion and integration patterns.
Design and maintain reusable data models.
Establish data engineering standards, patterns and best practices.
Implement automated testing, monitoring and data quality controls.
Support the migration from legacy reporting processes to the target architecture.
Build scalable and maintainable data solutions using modern cloud technologies.
Collaborate with business and analytics stakeholders to understand requirements and translate them into technical solutions.
Establish engineering foundations that can support future phases of the data platform.
Contribute to DataOps and CI/CD practices for analytics engineering.
Support the development of the Power BI reporting layer required for the MVP.
Maintain appropriate metadata and documentation across the data environment.
Transfer knowledge and best practices to client-side data and technical teams.
Must-have:
Strong commercial experience in Data Engineering.
Hands-on experience with Snowflake.
Strong experience with dbt.
Experience with AWS cloud services.
Experience with Fivetran or similar automated data ingestion/integration platforms.
Advanced SQL skills.
Strong knowledge of data modelling and modern data warehouse architecture.
Experience designing and implementing scalable data pipelines.
Experience with automated data quality, testing and validation.
Experience with CI/CD for Analytics Engineering.
Understanding and practical experience with DataOps practices.
Experience with metadata management.
Experience with Power BI and modern reporting environments.
Strong understanding of data platform scalability, automation and maintainability.
During the engagement, you will be responsible for delivering:
A future-state data platform MVP.
Snowflake-based data models and data pipelines.
Automated data ingestion and transformation processes.
Automated testing and data quality controls.
Monitoring and operational controls for data pipelines.
Reusable data engineering standards and patterns.
A Power BI reporting layer supporting MVP requirements.
Foundational architecture that can be extended in future phases.
Documentation and knowledge transfer to the client's technical team.
You will work closely with both business and technical stakeholders in a highly delivery-focused environment.
The role requires an outcome-oriented mindset — focusing on delivering scalable, reliable solutions rather than simply completing individual activities.
You will also be expected to:
Take ownership of technical deliverables.
Communicate progress and potential risks clearly.
Collaborate effectively with analytics, engineering and business teams.
Transfer knowledge and contribute to the client's long-term technical capability.
Design solutions with future scalability and reusability in mind.
Success will be reflected through:
Increased automation and reduced manual effort.
Reliable and scalable data pipelines.
Improved data quality and accuracy.
Successful delivery of the future-state MVP.
Reusable data models, engineering standards and patterns.
A solid architectural foundation for future platform development.
Readiness to expand the solution beyond the initial MVP.
Contract duration: 5 months
Work model: Remote
Role type: Senior-level individual contributor
Focus: Cloud Data Engineering / Snowflake / dbt / AWS / Data Platform