Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
About the role
- Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Responsibilities
- Design and implement Data Vault 2.0 models (Raw Vault and Business Vault) including Hubs, Links, Satellites, Point-in-Time (PIT) tables, and Bridges.
- Develop and maintain robust dbt projects for Data Vault implementation, leveraging macros, packages (e.g., datavault4dbt, AutomateDV/dbtvault), YAML configurations, and Jinja templating.
- Build staging layers, raw vault loading patterns, and business vault transformations following Data Vault 2.0 standards and best practices.
- Ensure high data quality, auditability, traceability, and historical tracking through proper hash key design, loading patterns, and effective dating.
- Collaborate with data architects, data engineers, and business stakeholders to translate business requirements into scalable Data Vault models.
- Optimize data models for performance.
- Implement dbt best practices: tests (unit + schema), documentation, selectors, CI/CD pipelines, and version control (Git).
- Support incremental loading strategies, handling of late-arriving data, and multi-source integration challenges.
- Contribute to the evolution of the data modelling framework and automation standards.
Requirements
- Strong hands-on experience (5+ years) in Data Vault 2.0 modelling on large-scale enterprise projects.
- Extensive expertise in building and maintaining Data Vault implementations using dbt (dbt Core or dbt Cloud).
- Deep understanding of Data Vault 2.0 components: Hubs, Links, Satellites (effectivity, multi-active, computed), PIT tables, Bridges, and Reference tables.
- Solid SQL skills and experience with modern data warehouses (Trino preferred, ClickHouse a plus).
- Advanced proficiency in dbt — models, macros, tests, documentation, exposures, and project structuring.
- Experience with Data Vault automation packages (datavault4dbt, AutomateDV, or similar).
- Strong knowledge of ELT/ETL patterns, data integration from multiple sources, and handling of changing business keys.
- Git, CI/CD for data (e.g., dbt Cloud jobs, GitHub Actions), and Infrastructure as Code.
- Familiarity with dimensional modelling (Kimball Star Schema) as a downstream consumption layer is a plus.
- Excellent analytical and problem-solving skills with a strong focus on scalability and maintainability.
- Ability to work in agile environments and deliver incrementally.
- Strong communication skills — able to explain complex modelling concepts to both technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
Benefits
- Health insurance for employees and close family members
- Career growth opportunity
- Training and professional development events
- Teamwork and accountability
- Sense of community and defined company culture
- Gym reimbursement after successfully passing probationary period
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