Principal Data Engineer

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Nasstar

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

Consulting • Logistics • Cloud Computing

Nasstar is a cloud service specialist that designs, implements, and manages multi-cloud solutions, innovative communication tools, and high-performance networking. With a strong global presence, Nasstar supports customers across various industries by offering a comprehensive suite of cloud services. The company has undergone several strategic acquisitions and rebranding efforts to enhance its capabilities, such as the acquisitions of Modality, Outsourcery, and others. Nasstar is committed to evolving with the rapidly changing tech industry and values enthusiastic individuals who are driven and passionate about making a difference.

📋 Description

• Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals and championing reliability and clean data. • Drive complex, large-scale data architectures and multi-year technology roadmaps while balancing innovation, cost efficiency, and operational stability. • Oversee team-of-teams delivery performance, including data pipeline quality, resilience, capacity planning, and team velocity. • Lead triage and resolution of critical platform incidents, own root-cause prevention, and communicate transparently with clients during recovery. • Implement governance frameworks and compliance controls, lead risk mitigation, and serve as the primary technical contact for regulatory matters. • Champion knowledge sharing, represent the firm at industry events, and establish best practices across communities of practice. • Drive platform efficiency, manage engineering budgets, and lead strategic hiring and retention initiatives.

🎯 Requirements

• Proven experience in a principal engineering role. • Extensive experience with cloud data platforms such as Azure or AWS, focused on Databricks. • Highly skilled with Pythonic data processing tools such as PySpark and SparkSQL. • Strong understanding of data modelling concepts and relational and non-relational databases. • Proficiency in SQL and experience with data integration and ETL tools. • Excellent knowledge of big data technologies and frameworks. • Strong knowledge of data governance and data security best practices. • Strong analytical mindset with attention to detail and a consultative approach. • Excellent communication and stakeholder management skills.

🏖️ Benefits

• Remote-first working with flexibility around client needs. • Private health insurance. • Projects with global brands & public sector leaders, working on real-world impact. • Exclusive access to AWS & Databricks certifications, training, and partner tools. • A collaborative culture of technical excellence and continuous learning. • A lead role in shaping delivery standards and future Data & Consulting practices within the firm. • Competitive salary, bonus structure, and long-term growth opportunities.