Backend & Integration Engineer

🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Backend & Integration Engineer, you will work at the intersection of AI, backend systems, and enterprise integration, enabling intelligent agents and platforms to interact with real-world business systems in a reliable, scalable way.

You will collaborate in a highly cross-functional, international environment, working closely with AI and Data Engineers to deliver end‑to‑end solutions that transform complex system landscapes into actionable capabilities.

📍 Job location: Portugal (Remote, with occasional on-site workshops in Essen, Barcelona, or Swindon)🕒 Contract type: Permanent🗓 Target start date: ASAP⏰ Working hours: Full-time (40h/week)💵 Compensation: €42,000 – €55,000 gross per year

Note: All applications (CVs) must be submitted in English.

💥 Your Impact

In this role, you will:

• Design and implement scalable integrations (APIs, services, MCP interfaces) that expose internal and external systems as reusable skills for AI agents

• Collaborate on the development and optimisation of the execution layer, ensuring reliable, secure, and scalable agent-driven actions

• Integrate the AI platform with business systems such as GIS data sources, valuation tools, and other enterprise applications

• Build and maintain clean, well-documented APIs and backend services supporting modular and reusable architectures

• Ensure integrations are robust, observable, and performant, with appropriate monitoring and error handling

• Work closely with AI and Data Engineers within a shared backlog, contributing to full end-to-end delivery rather than isolated components

⚡ What Makes This Role Challenging

• You will work in AI-driven, data-heavy environments with evolving requirements

• You are expected to ensure reliability and scalability while moving fast

• You will collaborate across disciplines, balancing backend excellence with AI enablement

• You will operate with high autonomy in a distributed, international setup

👤 What We’re Looking For

Must-haves

• Strong experience with backend development and system integration, building robust and scalable services

• Proven hands-on experience with Azure environments, including integration with Databricks

• Solid background in API and backend development, including:

  • RESTful APIs

  • Event-driven architectures

• Strong Python programming skills for building services, integrations, and automation

• Experience integrating enterprise systems using internal and external APIs

• Good understanding of distributed systems fundamentals, including:

  • Asynchronous processing

  • Queues and messaging

  • Scalable architectures

• Familiarity with DevOps principles and Infrastructure as Code, including Terraform

• Strong problem-solving skills, with the ability to debug and resolve system and integration issues efficiently

• Ability to communicate clearly with technical and non-technical stakeholders

• Fluency in English

Nice-to-haves

• Experience with MCP or similar tool/skill exposure frameworks for AI or automation platforms

• Deeper exposure to event-driven architectures and integration patterns

• Experience working in data-heavy or AI-driven environments

• Background in energy, utilities, or industrial systems

Ways of Working & Team Expectations

• Comfortable working in highly collaborative, cross-functional teams with a shared backlog

• Contribute beyond individual specialisation to ensure end-to-end delivery of AI-driven solutions

• Demonstrate a hands-on, proactive, and solution-oriented mindset

• Actively support knowledge sharing and upskilling within the team

• Able to operate effectively in fast-evolving environments, with high autonomy and rapid iteration cycles

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the rangeYou meet the core requirements and will need ramp-up time and support.

• Middle of the rangeYou are fully autonomous from Day 1 and deliver consistently.

• Top of the rangeYou are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.