Transvolt Mobility - Senior Data Engineer - ETL/ELT Pipelines

Description :

Role Overview :

Transvolt Mobility is seeking a senior, delivery-focused Data Engineer to lead the design, execution, and operational excellence of enterprise-grade data platforms.

This role is critical in translating business and mobility-centric use cases into scalable, reliable, and production-ready data solutions.

You will own end-to-end data delivery, ensure platform stability, and act as a bridge between engineering, analytics, product, and leadership teams.

Key Responsibilities :

Data Platform Delivery & Ownership :

- Lead end-to-end delivery of large-scale data engineering initiatives, from requirements gathering to production rollout and post-delivery support.

- Own data pipelines, data models, and integration workflows ensuring high availability, performance, and data quality.

- Drive delivery timelines, sprint planning, and execution in Agile/Scrum environments.

Architecture & Engineering Leadership :

- Design and implement scalable data architectures using modern data stacks (cloud, distributed systems, real-time and batch processing).

- Build and optimize ETL/ELT pipelines for structured and unstructured data from multiple internal and external sources.

- Establish standards for data modeling, governance, lineage, security, and reliability.

Stakeholder & Business Alignment :

- Partner closely with product, analytics, operations, and business stakeholders to convert mobility and operational requirements into data solutions.

- Provide technical leadership and clear communication to senior management on delivery status, risks, and architectural decisions.

- Support data-driven decision-making by enabling high-quality, trusted datasets.

Team Mentorship & Quality Assurance :

- Mentor and guide junior and mid-level data engineers, ensuring best practices in coding, documentation, and deployment.

- Conduct design reviews, code reviews, and performance tuning exercises.

- Drive automation, monitoring, and incident response for data platforms.

Operational Excellence :

- Ensure robust data quality checks, observability, and SLA adherence.

- Proactively identify bottlenecks, scalability risks, and cost-optimization opportunities.

- Support compliance, security, and governance requirements across data systems.

Required Qualifications & Experience :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 10+ years of hands-on experience in data engineering with strong delivery ownership.

- Extensive experience with SQL and at least one programming language (Python, Scala, or Java).

- Strong expertise in data warehousing, data lakes, and distributed data processing frameworks.

- Hands-on experience with cloud platforms (AWS, Azure, or GCP).

- Proven experience delivering production-grade data solutions in Agile environments.

- Strong problem-solving, stakeholder management, and communication skills