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Data Engineer

Dijital Team Pty Ltd

Colombo Remote permanent

Posted: March 4, 2026

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Quick Summary

We're hiring a Data Engineer to join a growing data engineering team delivering a new cloud-based data platform on Snowflake (Azure).

Job Description

We’re hiring a Data Engineer to join a growing data engineering team delivering a new cloud-based data platform on Snowflake (Azure). This role will focus on migrating legacy SQL Server/SSRS reporting solutions to Snowflake, rebuilding complex transformation logic, and implementing Data Vault 2.0 modelling and downstream reporting layers to support Power BI and broader analytics delivery. You’ll work as part of a collaborative team and contribute to a structured delivery approach with ongoing improvements as requirements evolve.


Duties and Responsibilities: :
• Data Platform Delivery (Snowflake + Azure)
• Build and maintain ELT pipelines and transformations in Snowflake, with a strong focus on SQL quality and performance
• Develop and optimise Snowflake stored procedures / SQL-based transformations aligned to engineering standards
• Work within an Azure-based ecosystem and contribute to secure, reliable pipeline operations
• Data Vault 2.0 Modelling and Implementation
• Design and implement Data Vault 2.0 structures (Hubs, Links, Satellites), including business vault logic where required
• Re-model legacy reporting data into scalable, auditable Data Vault patterns
• Collaborate with architects and domain experts to interpret and codify business rules—especially where rules differ across legacy systems
• Reporting and Delivery Enablement
• Create and maintain reporting-ready layers (e.g., information marts / dimensional patterns where appropriate) to support Power BI
• Support new delivery methods such as Power Automate outputs for end users where required
• Data Ingestion & Orchestration
• Work with ingestion patterns where source data lands as Parquet (e.g., delta/Parquet structured files)
• Use and support orchestration via Azure Data Factory (ADF)—especially for onboarding new sources and maintaining reliable workflows
• Project Delivery
• Operate in an Agile delivery environment (e.g., Jira / Scrum), contributing to sprint planning, estimation, and continuous improvement
• Participate in peer reviews and knowledge sharing to uplift capability across the team


Required Experience/Skills : :
• Required Skills:
• Strong experience as a Data Engineer delivering enterprise data platforms and pipelines
• 4 -5 years of experience in a similar capacity or in Data Engineer roles
• Demonstrated capability with Data Vault 2.0 (modelling + implementation)
• Strong SQL skills (complex transformations, performance tuning, procedural logic)
• Hands-on experience with Snowflake (or ability to ramp up quickly with strong SQL foundations)
• Experience working with cloud data ecosystems (ideally Azure)
• Ability to translate business/reporting requirements into scalable data models and transformations
• Desirable Skills:
• Experience with Azure Data Factory (ADF)
• Familiarity with Parquet / delta-style file-based ingestion patterns.
• Experience building reporting layers/information marts and/or dimensional modelling
• Exposure to Data Vault tooling such as IRIS (or similar modelling/automation tools).
• Experience with CI/CD / DevOps practices for data engineering
• Certifications:
• Data Vault 2.0 certification mandatory
• Snowflake certification is desirable
• Azure fundamentals certification is desirable

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