Principal Data Engineer

Nasstar

Principal Data Engineer leading scalable Azure/AWS and Databricks platforms for client projects. Driving architecture, resilience, governance, incident management, and strategic data engineering delivery.

Posted 8/5/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving complex data architectures and implementing governance frameworks while aligning technical solutions with business goals. Proficient in cloud data platforms, data processing tools, and data governance best practices.

Highest-signal resume keywords

Principal Engineering ExperienceCloud Data Platforms (Azure, AWS)Pythonic Data Processing (PySpark, SparkSQL)Data Governance and Security Best PracticesSQL Proficiency and ETL Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData Modelling ConceptsRelational DatabasesNon-Relational DatabasesBig Data TechnologiesData IntegrationETL ToolsData Pipeline QualityCapacity PlanningRoot-Cause Analysis

Soft Skills

Analytical MindsetAttention to DetailConsultative ApproachExcellent CommunicationStakeholder Management

Tools & Technologies

DatabricksAzureAWSPySparkSparkSQLSQL

Industry Keywords

Data Governance FrameworksCompliance ControlsRisk MitigationOperational StabilityTeam Velocity

Tech Stack

Tools & technologies

AWSAzureCloudETLPySparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.