Data Analytics Engineer

Vallourec Star; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision Coverage

401(k) Company match

Job summary

Vallourec is seeking a Data Analytics Engineer to join the global Data & Analytics team in Houston. You will develop Gold-layer datasets, contribute to the semantic layer, and build reliable Power BI dashboards from validated business requirements.

The role collaborates with Data Engineers, domain specialists, governance teams and business stakeholders across regions. Strong SQL, dbt, Databricks, and BI skills are essential to deliver governed analytics products.

Qualifications

• Bachelor or equivalent in a related field; strong SQL and analytics background.
• Experience building analytics products with data engineering and BI teams.
• Knowledge of dbt, Databricks, Unity Catalog and semantic layers is preferred.

Responsibilities

• Develop certified Gold-layer data models and reusable metrics.
• Build and optimize Power BI dashboards from governed data.
• Maintain dbt models with tests and documentation; ensure data quality.
• Coordinate data contracts and lineage between layers with engineers.
• Support self-service analytics with guidance and training materials.

Skills

Analytics engineering

Business intelligence

Dimensional modeling

Advanced SQL

Cross-functional collaboration

Data governance

Self-service analytics

Data quality

Education

Bachelor's degree in Computer Science, Information Systems, Computer Engineering, Data Engineering, Data Analytics or a related field

Tools

SQL

dbt

Databricks SQL

Unity Catalog

Power BI

DAX

Git

CI/CD pipelines

MetricFlow

Job description

At Vallourec, we are seeking individuals whose passion and dedication match the strength and resilience of the steel we produce. The Data Analytics Engineer is part of the global Data & Analytics team and operates 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. The position works closely with Data Engineers, Domain Specialists, the Semantic Layer & BI Lead, Data Governance, Data Product Owners and business stakeholders across regions and functions.

Your Role at a Glance

Analytics engineering and Gold-layer development

• Develop and maintain certified use-case data models in dbt, including dimensional models, fact tables and reusable business metrics

Semantic layer and metric governance

• Author domain metrics, dimensions, hierarchies and time-intelligence logic according to the approved framework, maintaining definitions and lineage

Business intelligence delivery

• Build and optimize Power BI dashboards based on certified Gold data and governed semantic metrics

Quality, documentation and enablement

• Implement automated data-quality tests, maintain technical documentation and support self-service adoption and training materials
• 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 achieve the agreed test‑coverage targets

Document dbt models and publish the 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. Management

No direct people management responsibility. Expected to coordinate technical work across business and technology stakeholders and contribute to peer reviews and knowledge sharing. Expected deliverables

Certified Gold‑layer dbt models; tested and documented data products; governed semantic metrics; optimized Power BI dashboards; data contracts; lineage and metric documentation; user enablement materials

Tools

• SQL, dbt, Databricks SQL, Unity Catalog, Power BI, DAX, Git, CI/CD pipelines and a semantic‑layer framework such as MetricFlow or the approved platform equivalent

What Sets You Apart

We're looking for individuals who bring the right mix of experience, mindset, and motivation:

• 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
• Training or certification in dbt, Power BI, Databricks, dimensional modeling or cloud data platforms is an advantage
• Advanced SQL skills
• Hands‑on experience with dbt, including models, tests and documentation
• Intermediate to advanced dimensional modeling, 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 / 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

What Powers Your Performance

Success in this role is driven by a strong mix of personal ownership, collaboration, and continuous improvement. We value team members who possess:

• 2+ years of experience in analytics engineering, business intelligence, data modeling or a closely related role
• 2+ years of experience delivering analytics products in collaboration with data engineering and business stakeholders
• 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
• Clear communication of technical concepts 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

How We Support Your Success

We're committed to helping you thrive on the job and beyond. That's why we offer a collaborative culture where your ideas drive real change, and career mobility within a stable, essential industry. To support your growth and well‑being, we also provide a comprehensive and competitive benefits program, including:

• Medical, Dental, and Vision Coverage
• Company‑Paid Life Insurance & Short/Long‑Term Disability
• Profit Sharing: Up to 4%
• 401(k): Company match 4.5% with no vesting period
• Paid Vacation Time
• Performance‑Based Bonus Program
• Tuition Reimbursement

Safety isn't negotiable, it's who we are. Every spark, every shift, and every decision is guided by a commitment that goes well beyond compliance. Protecting our people is more than a priority, it's a promise we make to every colleague, every day.

Equal Opportunity Employer
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