Lead Data Engineer (AI-Native)

Valiotti Data

Remote (Global)

Updated on August 5, 2026

  • Remote
  • Contractor
  • Lead
  • Data Consulting / SaaS / FinTech

Job Description

Valiotti Data is a proactive team of experienced data engineers and analysts providing high-impact consulting for international SaaS, FinTech, and e-commerce companies. We are an AI-native organization, leveraging LLM-based toolkits like Claude Code to accelerate project delivery by 2x without compromising quality. We are seeking a Lead Data Engineer who views AI-assisted development as a core professional tool rather than a novelty. In this role, you will architect data systems, mentor team members, and act as the primary technical voice for our clients, ensuring high-quality, scalable, and maintainable solutions.

Requirements

Critical Requirements

  • 5+ years of experience in data engineering, including lead or senior roles
  • Expert proficiency in SQL and Python
  • Proven experience with Google BigQuery
  • Hands-on experience with Apache Airflow 2 and data orchestration principles
  • Professional experience using Claude Code in production environments
  • English proficiency (B2+ level)

Important Requirements

  • Strong background in designing data warehouses, ETL/ELT processes, and analytical reporting
  • Ability to make independent architectural decisions and defend them to stakeholders
  • Experience in client communication, expectation management, and technical consulting
  • Knowledge of CI/CD practices for data pipelines
  • Familiarity with ClickHouse, Kafka, S3, and dbt

Nice to Have Requirements

  • Portfolio of built ETL processes, data warehouses, and architectural solutions
  • Documented case studies of AI-assisted development in data engineering
  • Proven track record of mentoring or performing code reviews for junior/mid-level engineers
  • Active GitHub repository or technical blog showcasing coding standards

About

Valiotti Data specializes in embedding into client businesses to solve complex data challenges, build robust systems, and transfer knowledge. With over $2B in managed client revenue, we pride ourselves on a flat structure, high technical standards, and a partnership-first approach. We value original ideas and provide a collaborative environment with access to a deep knowledge base, corporate Claude subscriptions, and professional development support.

How your application is reviewed

You get an instant result: After you apply, Ansius compares your CV with the role requirements and shows your match score in seconds.

What happens next: This score is used for pre-screening. If your score meets the employer's review threshold, your application moves forward for recruiter review. If not, you still receive a clear result immediately.

Why this is useful: This is not simple keyword matching. Ansius uses AI to understand direct, implied, and indirect evidence in your CV, similar to how recruiters review applications during manual screening.

How your CV match score is calculated

Your score is based on evidence found in your CV against the job requirements. The analysis considers clear statements, related experience, and supporting context, not only exact keyword matches. Recruiters can include extra role-specific criteria in this job, so this result may differ from the public CV match tool.

Critical Requirements: Core requirements that are essential for the role60% weight
Important Requirements: Important qualifications that strongly support fit30% weight
Nice to Have: Additional qualifications that can strengthen your profile10% weight

Use this feedback for your next application

The match breakdown shows which requirements had strong evidence and which did not. You can use it to improve your CV for this role and for similar roles.