Job Brief

• We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week. 
  
  

Responsibilities:

• Design, develop, and deploy machine learning and AI solutions
• Build and fine-tune Generative AI models, including LLM-based systems
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Work with vector databases to support semantic search and AI workflows
• Apply NLP techniques to solve real-world business problems
• Collaborate with cross-functional teams in an agile environment
• Contribute to production-ready AI systems following MLOps best practices

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• 3+ years of practical experience in Machine Learning and AI development
• Strong hands-on experience with Generative AI and Large Language Models (open-source and commercial)
• Solid knowledge of RAG architectures and vector databases
• Advanced Python skills with frameworks such as TensorFlow, PyTorch, and Hugging Face
• Strong understanding of NLP concepts, models, and architectures
• Experience with classical ML techniques (e.g., decision trees, SVMs, clustering, neural networks)
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments
• Knowledge of MLOps tools and practices
• Strong analytical thinking and problem-solving skills
• Clear communication skills and ability to work effectively in a team
• Fluency in English (C1 level or above)

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

• We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week. 
  
  

Responsibilities:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related field
• 5+ years of professional experience as a Data Scientist
• Proven experience leading and managing Data Science teams
• Demonstrated experience developing Generative AI solutions, including the use of transformers, embeddings, and prompt engineering
• Strong command of traditional Machine Learning techniques, including supervised and unsupervised learning
• High proficiency in Python and common libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn
• Experience with PySpark and handling large-scale Datasets
• Practical knowledge of MLOps practices, including model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring

Requirements & Skills:

• Contribute to the design and development of Generative AI solutions, including transformer-based models, embeddings, and LLM-driven pipelines
• Build, train, and optimize traditional Machine Learning models for multiple use cases (classification, regression, clustering, etc.)
• Explore, clean, and transform data, applying solid feature engineering practices to improve model performance
• Support the automation, reproducibility, and scalability of data science pipelines using MLOps tools, ensuring continuous monitoring and maintenance in production
• Communicate analytical insights clearly, with a strong focus on business impact and practical application
• Stay up to date with the latest trends, tools, and best practices in AI, Machine Learning, and cloud technologies
• Lead and mentor a growing team, acting as both a technical and behavioral reference
• Participate in pre-sales activities and contribute to the preparation of technical proposals

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief:

As a Site Reliability Engineer, you will ensure the reliability, scalability, and performance of our cloud-based systems. You will collaborate with product engineering squads to design resilient solutions, improve system stability, and empower teams to deliver features with confidence. Join an innovative tech company revolutionizing software testing with an AI-powered, codeless automation platform. 

Responsibilities:

• Design and implement cloud-native solutions that meet user needs and business requirements.

• Propose and execute architectural or system improvements to enhance reliability, stability, and throughput.

• Collaborate with the SRE team to plan and refine cloud infrastructure enhancements.

• Respond to system incidents, perform root cause analysis, and implement preventive measures.

• Build, maintain, and monitor infrastructure using Terraform and AWS, while supporting Java backend systems.

• Work closely with product teams to ensure robust delivery of features with built-in observability and reliability.

• Lead incident management activities, including post-incident reviews and documentation.

• Identify and implement initiatives to improve system reliability, performance, and efficiency.

• Provide guidance and support to cross-functional teams in areas such as monitoring, CI/CD pipelines, release engineering, and infrastructure as code.

Requirements & Skills:

• Minimum 5 years of experience with open-source technologies and cloud computing environments, preferably AWS.

• Experience with containerized and/or serverless architectures (e.g., ECS).

• Understanding of relational databases (RDBMS), asynchronous message processing pipelines, and software release/migration processes.

• Programming experience in at least one major language.

• Ability to document knowledge, conduct workshops, and support team upskilling.

• Master’s degree (or equivalent work experience) in engineering, computer science, or software discipline.

• Experience working within a business environment, managing stakeholders, and delivering reliable solutions.

Next Steps:

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

We are seeking an Embedded Systems Engineer to join a fast-growing European deep-tech company specializing in quantum computing and artificial intelligence. This role is based in the company’s offices in San Sebastián or Barcelona and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. You will work on cutting-edge technologies focused on optimizing and deploying AI models on constrained devices, collaborating with multidisciplinary teams in a highly innovative, international, and fast-paced environment.

Responsibilities

• Design, develop, and optimize embedded systems and firmware for AI model deployment

• Adapt and compress machine learning models for efficient inference on resource-constrained hardware

• Implement and optimize inference pipelines using industry-standard frameworks

• Work closely with AI, hardware, and software teams to ensure end-to-end system performance

• Apply quantization and model compression techniques without compromising accuracy

• Optimize performance at system level, including memory usage and computation efficiency

• Contribute to testing, validation, and continuous integration processes

• Document technical solutions and collaborate effectively across teams

Requirements

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, or a related discipline (or equivalent professional experience)

• 2–5 years of professional experience in embedded systems, firmware development, or low-level/system programming

• Proven experience deploying and optimizing machine learning models on embedded or constrained devices

• Strong programming skills in Python, C, and/or C++

• Solid knowledge of model quantization and compression techniques

• Hands-on experience with inference optimization frameworks (e.g., TensorRT, ONNX Runtime, vLLM or similar)

• Familiarity with embedded hardware platforms, including ARM-based systems, mobile GPUs, and AI accelerators

• Strong understanding of computer architecture, memory management, and performance optimization

• Experience with Git, automated testing, and CI/CD pipelines

• Strong communication skills and ability to work in cross-functional teams

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief

• We are seeking multiple Machine Learning Engineers to join a hyper-growth tech company in its offices in Zaragoza, Spain, for a 6-month contract, with a renewable possibility. 
  
  

Responsibilities:

• Design and optimize Large Language Models using quantum-inspired techniques to address complex, real-world use cases.
• Build and deploy LLM-based solutions, including RAG pipelines and AI agents, with a focus on performance and scalability.
• Evaluate, benchmark, and fine-tune models to improve accuracy, robustness, and computational efficiency.
• Develop custom deep learning solutions across multiple domains, including areas beyond LLMs such as computer vision.
• Act as a technical expert, identifying opportunities for innovation and proposing model and architecture improvements.
• Contribute to a strong engineering culture through documentation, code reviews, knowledge sharing, and mentoring.

Requirements & Skills:

• Academic background in AI, Computer Science, Data Science, or a related field (Bachelor’s, Master’s, or PhD).
• 1 to 3 years of hands-on experience designing, training, or fine-tuning deep learning models, particularly transformers and/or computer vision.
• Strong practical expertise with transformer ecosystems, including PyTorch and Hugging Face libraries (Transformers, Accelerate, Datasets).
• Solid mathematical foundations and deep understanding of neural networks, training dynamics, and inference.
• Experience with GPU-based infrastructures, cloud environments (ideally AWS), and deploying models using containers (Docker).
• Strong problem-solving and communication skills, with the ability to collaborate effectively in fast-paced teams; research publications are a plus, and English fluency is required.

Next Steps

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Job Brief
We are looking for a Senior Dynamics 365 Developer with strong experience in Field Service and Project Operations modules to support a large-scale project in the energy sector. You will play a key role in reviewing technical deliveries, ensuring compliance with Microsoft standards, and coordinating with Microsoft’s technical teams. 

Responsibilities

• Review and analyze all technical deliveries from the implementation partner.

• Perform code reviews to ensure high-quality and maintainable development.

• Evaluate whether implemented solutions meet platform standards and project requirements.

• Lead and participate in technical meetings with Microsoft.

• Maintain and manage the communication channel with Microsoft on all technical matters.

Requirements & Skills

• Minimum of 5 years of experience as a Dynamics 365 Developer.

• Proven experience with Field Service (including Asset Management components).

• Experience with Project Operations is a strong plus.

• Hands-on experience integrating solutions with Microsoft Azure services.

• Solid knowledge of Microsoft best practices for project implementation.

• Fluency in spoken and written English.

• Fluency in Spanish (comprehension level).

• Experience in energy-sector projects is a plus.

Next Steps

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Job Brief

We are looking for a skilled Sr. Backend Engineer to join a high-impact data team within a leading product-driven tech company. You will play a key role in designing, developing, and maintaining scalable data systems and will be responsible for owning and evolving our internal data platform. This position offers the opportunity to work with modern architectures, messaging systems, and cloud technologies while contributing directly to the reliability and performance of core data products.

Responsibilities

• Design, build, test, and maintain highly scalable data management systems.
• Ensure all systems align with business requirements and industry best practices.
• Integrate new data management technologies and engineering tools into existing architectures.
• Work with messaging systems and data pipelines across distributed environments.
• Use multiple technologies to connect, synchronize, and optimize data systems.
• Drive improvements in data reliability, efficiency, and quality.
• Collaborate across teams to deliver robust and scalable backend solutions.

Requirements & Skills

• 5+ years of professional experience as a Software Engineer.
• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
• Strong understanding of data engineering concepts and distributed systems.
• Solid hands-on experience with Java across the full SDLC.
• Proficient in building APIs and writing automated tests.
• Expertise in cloud data services, streaming technologies, and working with large datasets.
• Experience with messaging systems and data pipelines.
• Proven ability to develop new features and debug complex issues with minimal supervision.

Next Steps

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Job Brief

The Technical IT/OT Security Consultant will advise, monitor, and coordinate the implementation of the company’s information security strategy across both IT and OT environments. Reporting directly to the CISO, this professional will provide technical guidance, assess security measures, and ensure alignment with best-practice standards. The role includes supporting global terminals, contributing to security decision-making, and recommending new technologies and improvements. This position offers a hybrid work model (3 x week onsite, 2 x week remote) in Coimbra, Lisbon, or Castelo Branco.

Responsibilities

• Provide technical guidance to IT and OT teams on network, system, and application security.

• Advise on new security technologies and protective measures.

• Review and assess IT/OT security implementations at terminals and offices.

• Liaise with IT specialists and business stakeholders to design secure solutions.

• Perform risk assessments on existing and new infrastructure and applications.

• Recommend and coordinate technical security improvements.

• Evaluate new security solutions.

• Manage and coordinate IT/OT security projects and operations.

• Handle and monitor information security incidents.

• Assess and ensure alignment with security policies, procedures, and standards.

• Support the CISO in defining and implementing network and system standards.

• Contribute to security-related decision-making processes.

• Travel internationally when required (10–20%).

Requirements & Skills

• Bachelor’s degree or equivalent.

• Minimum 2 years of experience in IT security, OT security, or cybersecurity consulting (must have).

• Fluent English (C1), written and spoken (must have).

Preferred (not mandatory):

• Experience with OT/ICS systems (DCS, SCADA, HMI, OPC, Modbus).

• Experience with IT security systems such as firewalls, VPN, IDS/IPS, EDR/XDR, SIEM.

• Experience with at least one framework/standard: COBIT, NIST, ISO/IEC 27001, ISO/IEC 27002, ISA/IEC-62443 (desired).

• Knowledge of IT Service Management (ITIL).

• Certifications or willingness to pursue: CISSP, CEH, GICSP, GRID, GCIP.

Next Steps

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Job Brief

We are looking for a Platform Engineer with strong Azure experience and a solid engineering mindset. In this role, you'll help shape and support a cloud environment that enables development teams to deliver software reliably and efficiently. You will contribute to the evolution of the internal platform, ensuring it is scalable, secure, automated, and easy for developers to use.

You’ll work across several areas: cloud infrastructure, container orchestration, CI/CD automation, monitoring, security, and tooling that improves the developer journey. The environment is built around Kubernetes on Azure, with a modern DevOps/GitOps approach and an emphasis on reducing friction for developers.

Responsibilities

• Build and evolve Azure-based infrastructure using Terraform or other IaC frameworks.

• Operate and enhance Kubernetes environments (AKS), including networking, secrets, and supporting services.

• Work with GitOps tooling and Kubernetes add-ons such as service meshes, API gateways, and deployment controllers.

• Design and maintain CI/CD processes using GitHub Actions or Azure DevOps, focusing on secure authentication flows and automated deployment strategies.

• Implement and maintain monitoring, logging, and alerting solutions using tools like Azure Monitor, ELK/Fluentd stacks, or commercial APM platforms (New Relic, Dynatrace, etc.).

• Contribute to platform-level security by integrating scanning tools, enforcing permissions, and applying cloud-native best practices (IAM, RBAC, zero-trust).

• Develop automation scripts and internal tooling (Python, Bash, Groovy) to streamline repetitive tasks and improve team efficiency.

• Support cloud-native application teams, troubleshoot platform issues, and help drive improvements in system reliability and developer experience.

• Participate in the evolution of development workflows and platform standards across the organization.

Requirements & Skills

• Minimum 8 years of professional experience in engineering roles, ideally in cloud infrastructure, DevOps, or platform engineering.

• Proven experience working with Azure infrastructure and IaC (Terraform preferred).

• Strong understanding of Kubernetes operations, AKS, container networking, and Azure platform services.

• Ability to build and maintain CI/CD pipelines, including secure credential handling and progressive deployment techniques.

• Hands-on experience with observability tools and log/metric pipelines (Azure Monitor, Dynatrace, ELK, Fluentd, New Relic).

• Programming/scripting abilities in languages such as Go, C#, JavaScript, Python, Bash, or Groovy.

• Familiarity with cloud security, Kubernetes hardening, IAM policies, and zero-trust concepts.

• Experience with agile development practices and cloud-native architectures.

• Strong problem-solving skills and comfortable collaborating with cross-functional engineering teams.

Next Steps:

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!

Job Brief:

We are building a secure, reliable, and automated data platform and are looking for a Senior DevOps Engineer to manage CI/CD workflows, deployment, access control, and observability across Azure Data Factory, Logic Apps, dbt, Snowflake, Fivetran, and Power BI. The role focuses on GitHub Actions for CI/CD, production-ready pipeline releases, and ensuring platform reliability, performance, and security.

Responsibilities:

• Design, build, and maintain multi-environment CI/CD pipelines for ADF, Logic Apps, dbt, Snowflake, and Power BI using GitHub Actions.

• Implement secure deployments using OIDC/workload identity federation, Azure RBAC, and manage secrets via Azure Key Vault.

• Standardize branching, PR policies, release promotion, and deployment practices.

• Monitor pipelines, implement alerts, maintain runbooks, and manage incidents and post-mortems.

• Define SLIs/SLOs for pipeline success, data freshness, cost efficiency, and release lead time.

• Collaborate with Data Engineering and Analytics teams to onboard new pipelines and promote best practices.

• Package tooling for developers: reusable GitHub Actions workflows, templates, and CLI scripts.

Requirements & Skills:

• Experience: 5+ years in DevOps, ideally in data/analytics environments.

• Strong experience with GitHub Actions, Azure Data Factory, Logic Apps, dbt, Snowflake, Power BI, and Fivetran.

• Knowledge of security, access control, secrets management (Azure Key Vault, RBAC, OIDC).

• Experience in monitoring, alerting, incident handling, and CI/CD best practices.

• Familiarity with templating (ARM/Bicep), release automation, and cost/performance management in Azure and Snowflake.

• Excellent problem-solving, collaboration, and documentation skills.

Next Steps

• Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!