

NextWave Consulting
Data Technology Engineer (UK)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Technology Engineer (UK) with a contract length of "unknown" and a pay rate of "unknown." Key skills required include Kubernetes, API management, Airflow, and observability tools. Experience with multi-tenant architectures and data access technologies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Prometheus #Observability #Data Access #Cloud #Data Pipeline #Security #Storage #API (Application Programming Interface) #Version Control #Kubernetes #Grafana #S3 (Amazon Simple Storage Service) #Trino #Data Orchestration #Data Storage #RDBMS (Relational Database Management System) #Airflow #Infrastructure as Code (IaC)
Role description
Location: UK
Department: Data Technology / Platform Engineering
Role Summary
We are looking for a Data Technology Engineer to design, build, and run secure, multi‑tenant data platform capabilities. This role focuses on platform services, integration, orchestration, security, and observability, enabling teams to reliably access, integrate, and operate data pipelines at scale.
This is a modern cloud‑native platform role—ideal for engineers who enjoy working across Kubernetes, APIs, data orchestration, and developer experience, while partnering closely with security and risk stakeholders.
What You’ll Do
• Design and evolve multi‑tenant platform architecture
• Build secure access patterns for data services and APIs
• Deliver integration and API management capabilities (Kong or similar)
• Enable data virtualisation via Trino or query federation tools
• Operate Airflow as a platform service with production standards
• Implement end‑to‑end observability aligned to SLOs
• Improve CI/CD, artefact promotion, and developer experience
• Collaborate with security, risk, and engineering teams
Key Skills & Experience
• Strong experience in Kubernetes or cloud‑native platform engineering
• Exposure to multi‑tenant platform architectures
• API management or integration tooling (Kong, Apigee, gateways)
• Airflow in production environments
• Observability tooling (Prometheus, Grafana, tracing)
• Data access technologies (Trino, federation, or query engines)
• Solid engineering fundamentals: version control, CI/CD, IaC concepts
Nice to Have
• Security, audit, or policy‑as‑code exposure
• Container image management (Harbor or similar)
• Data storage experience (S3, Hive, RDBMS)
• Experience building internal developer platforms
Location: UK
Department: Data Technology / Platform Engineering
Role Summary
We are looking for a Data Technology Engineer to design, build, and run secure, multi‑tenant data platform capabilities. This role focuses on platform services, integration, orchestration, security, and observability, enabling teams to reliably access, integrate, and operate data pipelines at scale.
This is a modern cloud‑native platform role—ideal for engineers who enjoy working across Kubernetes, APIs, data orchestration, and developer experience, while partnering closely with security and risk stakeholders.
What You’ll Do
• Design and evolve multi‑tenant platform architecture
• Build secure access patterns for data services and APIs
• Deliver integration and API management capabilities (Kong or similar)
• Enable data virtualisation via Trino or query federation tools
• Operate Airflow as a platform service with production standards
• Implement end‑to‑end observability aligned to SLOs
• Improve CI/CD, artefact promotion, and developer experience
• Collaborate with security, risk, and engineering teams
Key Skills & Experience
• Strong experience in Kubernetes or cloud‑native platform engineering
• Exposure to multi‑tenant platform architectures
• API management or integration tooling (Kong, Apigee, gateways)
• Airflow in production environments
• Observability tooling (Prometheus, Grafana, tracing)
• Data access technologies (Trino, federation, or query engines)
• Solid engineering fundamentals: version control, CI/CD, IaC concepts
Nice to Have
• Security, audit, or policy‑as‑code exposure
• Container image management (Harbor or similar)
• Data storage experience (S3, Hive, RDBMS)
• Experience building internal developer platforms






