Data Analytics Engineer
About The Position
The Data Analytics Engineer is part of Vallourec’s global Data & Analytics team, working at the intersection of data engineering, business analytics, and business intelligence. The role develops certified use-case datasets in the Gold layer, contributes domain metrics to the Semantic layer, and builds reliable Power BI dashboards from validated business requirements. It collaborates with Data Engineers, Domain Specialists, the Semantic Layer & BI Lead, Data Governance, Data Product Owners, and business stakeholders across regions and functions. The role’s work is allocated across analytics engineering and Gold-layer development (40%), semantic-layer and metric governance (25%), business intelligence delivery (25%), and quality, documentation, and enablement (10%). Deliverables include certified Gold-layer dbt models, tested and documented data products, governed semantic metrics, optimized Power BI dashboards, data contracts, lineage and metric documentation, and user enablement materials. There is no direct people-management responsibility. The role is expected to coordinate technical work across business and technology stakeholders and contribute to peer reviews and knowledge sharing. Tools include SQL, dbt, Databricks SQL, Unity Catalog, Power BI, DAX, Git, CI/CD pipelines, and a semantic-layer framework such as MetricFlow or an approved platform equivalent.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Computer Engineering, Data Engineering, Data Analytics, or a related field; equivalent relevant professional experience may be considered.
- Advanced SQL skills.
- Hands-on experience with dbt, including models, tests, and documentation.
- Intermediate to advanced dimensional modeling skills, including fact tables, dimensions, grain, and star schemas.
- Intermediate Power BI and DAX skills, including data modeling and report-performance optimization.
- Experience with Git-based version control and collaborative development practices.
- Working knowledge of data quality, metadata, and lineage concepts.
- Experience with Databricks SQL and Unity Catalog.
- Experience with a semantic layer or metric framework such as dbt Semantic Layer or MetricFlow.
- Knowledge of CI/CD pipelines for analytics engineering.
- Experience with data contracts and cross-domain metric governance.
- Knowledge of Microsoft Fabric or cloud data platforms.
- Experience supporting self-service analytics and user enablement.
- At least 2 years of experience in analytics engineering, business intelligence, data modeling, or a closely related role.
- At least 2 years of experience delivering analytics products in collaboration with data engineering and business stakeholders.
- At least 2 years of experience working with governed datasets, reusable metrics, and dashboard solutions in a corporate environment.
- Ownership and accountability for reliable, reusable data products.
- Strong collaboration between business and technology teams.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Analytical thinking and structured problem solving.
- Attention to data quality, documentation, and detail.
- Continuous-improvement mindset and willingness to challenge the status quo constructively.
- Ability to work in a global, cross-functional, and multicultural environment.
Nice To Haves
- Training or certification in dbt, Power BI, Databricks, dimensional modeling, or cloud data platforms is an advantage.
Responsibilities
- Develop and maintain certified use-case data models in dbt, including dimensional models, fact tables, and reusable business metrics.
- Develop and maintain the domain Use-case (Gold) layer in dbt, following approved modeling and naming standards.
- Build dimensional models, fact tables, and business metrics from the Domain (Silver) layer.
- Implement and maintain dbt data-quality tests and meet agreed test-coverage targets.
- Document dbt models and publish documentation and metadata in Unity Catalog.
- Coordinate data contracts between the Domain and Use-case layers with Data Engineers, including column types, refresh expectations, and nullability.
- Escalate questions about Silver-layer business logic to the relevant Domain Specialist rather than independently redefining the logic.
- Create domain metrics in the semantic layer, including dimensions, hierarchies, and time intelligence.
- Submit domain metrics and cross-domain definitions for review by the Semantic Layer & BI Lead before Gold certification.
- Maintain metric definitions, lineage, and registry records.
- Build, test, and optimize Power BI dashboards using certified Gold datasets and semantic metrics.
- Apply data-security requirements, including appropriate access controls and row-level security when required.
- Support business analysts and end users with self-service guidance and training materials.
- Coordinate technical work across business and technology stakeholders and contribute to peer reviews and knowledge sharing.
Benefits
- Medical, dental, and vision coverage.
- Company-paid life insurance and short- and long-term disability.
- Profit sharing up to 4%.
- 401(k) with 4.5% company match and no vesting period.
- Paid parental leave.
- 10 paid holidays plus 1 floating holiday.
- Paid vacation time.
- Performance-based bonus program.
- Tuition reimbursement.
- Collaborative culture and career mobility within a stable, essential industry.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
