Senior Data Engineer

HostPapa · Spain (Remote) · posted Oct 7, 2026

Open to candidates in Spain

Full-timesenior
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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •Building data-intensive systems
  • •Building data pipelines and models
  • •Python
  • •Event-streaming technologies (Kafka, NATS, Flink)
  • •Cloud-native infrastructure (Azure, AWS, GCP)
  • •Containerized workloads (Docker, Kubernetes)
  • •API design and integration

Nice to have

  • •Familiarity with billing, finance, or usage-based monetization
  • •Integrating LLMs or AI services
  • •Modern lakehouse or data federation patterns

Tools and technologies

PythonKafkaNATSFlinkAzureAWSGCPDockerKubernetesPostgreSQLRAGMCPAnthropicOpenAIIceberg

The full posting

Position Summary:

At managed.com, we're a remote-first, global team. We're also AI-first, so finding practical ways to use AI is part of every role here

This role focuses on CloudBlue, a managed.com business that powers cloud commerce for many of the world’s largest service providers, including major Telcos, distributors, and MSPs. CloudBlue enables partners to monetize and manage cloud services and subscriptions at scale, combining the agility of a high-growth business with the backing of a global organization.

As the Senior Data Engineer , you will help design, build, and evolve CloudBlue’s data and analytics platform, with a strong focus on AI-driven capabilities. You will build scalable data infrastructure and help embed AI into backend services, APIs, and business workflows across our cloud-native SaaS platform.

What you'll do

  • Build and maintain a high-volume, high-performance data fabric, including real-time ingestion, data pipelines, storage, and analytics
  • Own features end to end, from technical design and implementation through testing and production
  • Drive the adoption of AI across the platform and develop AI-powered workflows and capabilities
  • Design and integrate APIs that connect data, services, and business workflows across the CloudBlue ecosystem
  • Work closely with engineers in small, cross-functional feature teams
  • Collaborate with Product Managers and other CloudBlue teams to translate business needs into scalable technical solutions
  • Help ensure data quality, reliability, observability, and performance across production pipelines
  • Partner with your Engineering Manager on professional growth and career development
  • Support other tasks or projects as assigned to meet team and business needs

About you

  • Strong professional software engineering experience, with a solid background in building data-intensive systems
  • Extensive experience building data pipelines and data models, including production-scale data workloads
  • Hands-on experience with Python
  • Strong expertise with event-streaming technologies such as Kafka, NATS, Flink, or similar. This is a real-time platform, so streaming experience is essential
  • Experience working with cloud-native infrastructure such as Azure, AWS, or GCP, as well as containerized workloads using Docker and Kubernetes
  • Solid understanding of data contracts, data quality, pipeline observability, and production SLOs
  • Hands-on experience with AI-assisted development tools, along with a genuine interest in applying AI to solve engineering problems and streamline development workflows
  • Strong experience designing and integrating APIs
  • Solid knowledge of PostgreSQL and relational databases
  • Experience with unit and end-to-end testing and building reliable, production-ready systems
  • Professional working proficiency in English, with the ability to collaborate effectively in a distributed, international environment
  • Familiarity with billing, finance, or usage-based/metered monetization is a plus
  • Exposure to integrating LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is an advantage
  • Experience with modern lakehouse or data federation patterns, such as Iceberg, Trino, or similar technologies, would be beneficial

What we offer:

  • Remote-first work, with team members across many countries
  • Competitive pay, benchmarked against the markets we hire in
  • Room to grow, with real ownership of your work and support for professional development
  • Flexibility in how and when you work, within the core hours your team needs
  • Access to the AI tools you need to do your work, and the room to experiment with them

About us:

Managed.com is the company behind a family of specialist brands spanning business technology, infrastructure, and channel commerce. These include HostPapa, ColoCrossing, Hostopia, CloudBlue, and LogoMaker. Each brand serves its market through its own products and customer experience. Together, we are bringing those strengths closer to create more connected experiences and help businesses build, operate, and grow in the AI era.

Our culture is built on trust, respect, and doing work that matters to our customers. As our brands come together, there's real room to grow into new roles and new areas of the business.

Managed.com is an equal-opportunity employer. We value the range of backgrounds, perspectives, and experiences across our team, and we hire and promote based on skills and contribution.

We're committed to providing accommodations for people with disabilities at every stage of the hiring process. If you need an accommodation, let us know, and we'll work with you to meet your needs.

It is anticipated that this position will be performed outside of Ontario.

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