Middle Cloud/Data Engineer

Metamindz is a fast-growing UK-based IT software company. We support global clients by providing fractional CTOs-as-a-service, building digital products, hiring exceptional technical talent, and conducting in-depth tech due diligence.

We’re currently looking for a Cloud & Data Engineer (GCP / IoT) to join one of our startup clients in a part-time engagement. This is a full-time opportunity for a hands-on engineer who can take ownership of cloud data platforms and backend systems, working with high-volume IoT data and real-time analytics in production environments.

Responsibilities:

• Own and operate the cloud-based backend and data platform supporting large-scale IoT deployments
• Architect, build, and maintain high-volume data ingestion pipelines using GCP services (BigQuery, Dataflow, Pub/Sub)
• Design and manage streaming and batch data workflows for real-time and historical analytics
• Define data storage, querying, retention, and archiving strategies across warehouses and data lakes
• Ensure backend services, APIs, and data pipelines are secure, scalable, observable, and fault-tolerant
• Set up monitoring, logging, alerting, and recovery strategies for event-driven workloads
• Collaborate closely with the CTO, embedded engineers, and product teams to align device capabilities with cloud and data architecture
• Contribute to data platform evolution, including governance, access policies, and metadata management

Requirements:

• 3–5 years of commercial engineering experience in cloud, data, or backend roles
• Strong hands-on experience with GCP and its data ecosystem (BigQuery, Dataflow, Pub/Sub)
• Solid experience with relational databases (Postgres, MySQL), including schema design, migrations, indexing, and scaling strategies
• Proven experience building and maintaining data pipelines, particularly for IoT or time-series data
• Hands-on experience with Python (Node.js is a plus)
• Experience designing and consuming APIs in distributed or microservices-based systems
• Familiarity with CI/CD pipelines, environment management, and Infrastructure as Code (Terraform)
• Good understanding of cloud security, IAM, and best practices for production systems
• Ability to work independently in a startup environment and make pragmatic technical decisions

Nice to Have:

• Google Professional Data Engineer certification
• Experience with orchestration tools such as Airflow / Cloud Composer
• Exposure to applied ML or AI use cases (e.g. anomaly detection, forecasting on IoT data)
• Experience using managed ML services like GCP Vertex AI

What We Offer:

• Opportunity to work on a real-world, IoT-powered product with visible impact
• High ownership and influence over technical architecture and data strategy
• Collaborative startup environment with direct access to decision-makers
• Modern cloud stack and meaningful engineering challenges around scale and reliability
• Competitive compensation aligned with experience and responsibilities

How to Apply:

Please send a short blurb about yourself — and tell us your favorite ice cream flavor (mine is cherry 🍒)