Job Brief:

We are looking for an experienced Lead Data Engineer to join a large-scale international project, focused on building a robust, scalable, and well-governed data platform to support future Artificial Intelligence initiatives.

The role involves leading technical decisions in a modern data environment, ensuring best practices in data engineering across the entire data lifecycle. This is an on-site position in Sweden, with an initial 12-month contract.

Responsibilities:

• Lead the design, development, and optimization of data engineering solutions in cloud environments.
• Design and maintain robust data pipelines, ensuring data quality, performance, and governance from ingestion onwards.
• Develop, optimize, and maintain complex queries using T-SQL and/or PL/SQL
• Implement and evolve modern data architectures, including Data Warehouse Automation (DWA) and the Medallion Architecture (Bronze, Silver, Gold).
• Collaborate with BI and Analytics teams to ensure reliable and efficient data availability for reporting and visualization.
• Act as a technical reference and provide guidance on strategic data and cloud-related decisions.
• Explore, evaluate, and adopt new technologies (e.g., Microsoft Fabric, vector databases, AI integrations) to address evolving business and client needs.
• Ensure compliance with data governance, security, and quality standards.

Requirements & Skills:

• More than 5 years of experience in Data Engineering or similar roles.
• Advanced proficiency in SQL, including T-SQL and/or PL/SQL, with strong skills in querying, programming, and performance optimization.
• Expert-level knowledge of cloud-native data platforms, such as Microsoft Azure (Synapse, SQL Database, Fabric), AWS, or Snowflake.
• Strong experience with BI and data visualization tools, such as Power BI, Qlik, or Tableau..
• Hands-on experience with Data Warehouse Automation (DWA) frameworks and modern data architecture patterns.
• Strong data quality mindset, with a focus on building governed and reliable data platforms to support AI-driven use cases.
• Curiosity and interest in exploring emerging technologies, including AI integration and advanced data platforms.
• Fluency in English and Portuguese (mandatory).
• Availability to work on-site in Sweden (mandatory).

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Job Brief:

We are seeking a Data Engineer (Azure and Databricks) to design, build, and maintain the data infrastructure and pipelines that support the data-driven decision-making. In this role, you will collaborate with cross-functional teams to ensure data availability, reliability, and accessibility, enabling the organization to extract insights and deliver impactful solutions. This is a full-time remote position, in Portugal

Responsibilities:

• Design and build data models to support Data Science, Business Intelligence, and downstream datasets.
• Develop APIs and data products that integrate data across systems and processes.
• Monitor data pipelines and proactively communicate issues to leadership and stakeholders.
• Collaborate with business partners and developers to document and validate requirements for new initiatives.
• Coordinate cross-functional and cross-team efforts in partnership with developers and leadership.
• Deliver high-quality data engineering solutions aligned with business needs and technical best practices.
• Build and maintain ADF pipelines, Data Flows, Azure Functions, and Logic Apps.
• Work with Azure SQL Database, including stored procedures and views.
• Explore and document Power BI reports and datasets.

Requirements & Skills:

• Proven experience as a Data Engineer or Data Quality Engineer in fast-paced environments.
• Expert proficiency in SQL and SQL-like query languages.
• Strong experience with Python and structuring Python-based projects.
• Experience with Azure Data Factory and Databricks.
• Solid background in ETL and ELT development.
• Strong knowledge of data modeling methodologies (Kimball, Inmon, Data Vault).
• Hands-on experience with Azure SQL Database, stored procedures, and views.
• Experience with Azure Functions and Logic Apps.
• Experience building automated unit and integration testing frameworks for data projects.
• Previous experience in Business Intelligence or as a Business Analyst.
• Familiarity with Infrastructure as Code tools (Terraform or CloudFormation).
• Experience with Tableau, Power BI, or Spotfire.
• CI/CD automation experience (GitLab preferred).
• Experience with batch and streaming data pipelines.
• Experience ingesting third-party data using APIs.
• Familiarity with integrating data platforms into observability tools.
• Expertise in predictive modelling.
• Strong communication and collaboration skills across technical and non-technical audiences.

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Job Brief:

We are seeking a DevOps Project Manager to lead and coordinate infrastructure, DevOps, and cloud-related projects from end to end. In this role, you will work closely with cross-functional teams including DevOps, Infrastructure, Cloud, Security, and Application teams to ensure successful delivery of projects that meet technical, security, and compliance standards. This is a hands-on project management role in a technical environment, combining deep understanding of cloud platforms, DevOps practices, and agile project delivery. You will be the primary point of contact for stakeholders, translating complex technical initiatives into clear business outcomes.

This role is based in the company’s offices in Barcelona or Zaragoza, 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. 

Responsibilities:

• Lead end-to-end delivery of infrastructure, DevOps, and cloud projects.
• Manage project scope, schedules, budgets, risks, and dependencies.
• Coordinate cross-functional teams, including Infrastructure, DevOps, Cloud, Security, and Application teams.
• Serve as the primary contact for stakeholders, ensuring clear communication and alignment.
• Facilitate project planning, sprint planning, stand-ups, retrospectives, and status reviews.
• Track and report on project progress, milestones, and KPIs.
• Ensure projects adhere to architectural standards, security requirements, and compliance guidelines.
• Identify and mitigate risks related to cloud migrations, infrastructure upgrades, and platform reliability.
• Drive continuous improvement in project delivery processes, tools, and methodologies.

Requirements & Skills:

• Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field.
• Strong, real-world experience with public cloud (AWS, GCP, or Azure).
• Proven experience managing Infrastructure, DevOps, or Cloud projects.
• Strong understanding of cloud platforms such as AWS and/or OpenStack.
• Familiarity with CI/CD pipelines, automation, Infrastructure as Code (Terraform, CloudFormation), and containerized environments.
• Experience working with Agile, Scrum, or hybrid project methodologies.
• Proficiency with project management tools (e.g., Jira, Confluence, GitLab, Monday).
• Fluent English (spoken and written)
• Hands-on experience with AWS services (EC2, VPC, RDS, EKS, IAM) or OpenStack equivalents (Nice to have).
• Experience managing cloud migrations or large-scale infrastructure transformations (Nice to have).
• Knowledge of OpenStack architecture and operations (Nice to have).
• Certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner / Solutions Architect, Scrum Master (Nice to have).
• Experience working in regulated or high-availability environments (Nice to have).
• Background in SRE or operational excellence initiatives (Nice to have).

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Job Brief:

We are looking for a Full-Stack Engineer to join a Series B multinational, with offices in Spain, on a fixed-term contract with the possibility of renewal.  

Responsibilities:

• Design, build, and operate backend services using Python or Go, ensuring reliability and scalability.
• Define, version, and optimize RESTful or gRPC APIs with a strong focus on performance and maintainability.
• Containerize services using Docker and support deployments using Kubernetes-based orchestration.
• Design and maintain relational database schemas (PostgreSQL/MySQL), optimizing queries and data models.
• Integrate and automate workflows across multiple systems, including data platforms, CI/CD pipelines, and ML tooling.
• Maintain clean Git workflows, implement automated tests, and manage continuous integration and deployment pipelines.
• Deploy, monitor, and manage backend services in cloud environments, primarily on AWS.
• Collaborate with product and R&D teams to transform experimental or prototype code into stable, production-ready APIs or microservices.

Requirements & Skills:

• Several years of hands-on experience (roughly 2–5) building and operating backend services using Python or Go.
• Proven ability to design, version, and optimize service interfaces using REST or gRPC.
• Practical experience containerizing applications with Docker, along with foundational exposure to Kubernetes for service orchestration.
• Strong working knowledge of relational databases such as PostgreSQL or MySQL, including schema design and query optimization.
• Experience connecting and automating workflows across multiple systems, including data platforms, CI/CD pipelines, or ML tooling.
• Comfortable working with Git-based workflows, automated testing, and continuous integration/deployment setups (e.g., GitHub Actions or GitLab CI).
• Hands-on experience deploying and managing services in cloud environments, particularly AWS.
• Product-focused approach, capable of evolving experimental or research code into reliable, production-grade APIs or microservices.

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Job Brief:

We are looking for a Full-Stack Engineer to join a Series B multinational, with offices in Spain, on a fixed-term contract with the possibility of renewal.  

Responsibilities:

• Design, build, and maintain full-stack applications across front-end and back-end components.
• Develop responsive, user-friendly interfaces using React or Next.js with TypeScript.
• Implement and maintain back-end services in Python using frameworks such as FastAPI or Django.
• Design clean, scalable APIs and data models, ensuring seamless integration between front-end and back-end systems.
• Build and evolve data-intensive dashboards, internal tools, and experiment-tracking interfaces.
• Manage and optimize SQL databases, containerized environments (Docker), and CI/CD pipelines.
• Deploy, monitor, and maintain applications in cloud environments, primarily on AWS.
• Collaborate closely with researchers and product managers to translate exploratory workflows into robust, production-ready tools with real user impact.

Requirements & Skills:

• Hands-on experience (approximately 2–5 years) developing full-stack applications.
• Strong command of modern front-end technologies, including React or Next.js with TypeScript.
• Back-end development experience using Python frameworks such as FastAPI or Django.
• Proven ability to design and integrate APIs, with a solid grasp of data modeling and system architecture.
• Experience delivering data-heavy interfaces, internal tools, or experiment-driven dashboards.
• Familiarity with SQL databases, Docker-based workflows, and automated CI/CD processes.
• Exposure to cloud infrastructure and deployment, particularly within AWS environments.
• Product-oriented mindset, comfortable partnering with researchers and product managers to turn exploratory ideas into reliable, production-ready solutions.

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Job Brief:

We are looking for an Embedded C++ Engineer to join an international tech organization with projects on mobile construction machinery. This position focuses on designing and developing embedded Human Machine Interface (HMI) software for instrument cluster and in-vehicle infotainment systems within a collaborative, agile development environment.

Responsibilities:

• Design and develop embedded HMI software for mobile construction machines, including Instrument Cluster and In-Vehicle Infotainment (IVI) display systems, using Qt / QML and C++.
• Contribute to the design, coordination, and continuous enhancement of a modular HMI software architecture, including interface definitions and core HMI engineering processes.
• Integrate HMI applications into embedded Linux environments (such as Yocto-based systems), ensuring reliable interaction between software components, hardware platforms, and machine interfaces.
• Develop, maintain, and execute unit tests and automated GUI tests, and support integration and system testing directly on machines to ensure production-ready software quality.
• Collaborate closely with internationally distributed development teams across Austria, Germany, the USA, and the UK, as well as with internal UI/UX designers, machine engineers, and validation specialists.
• Actively support the continuous improvement of software lifecycle management and agile development processes within a corporate R&D environment.
• Participate in innovation projects and contribute ideas that help shape future HMI concepts, technologies, and company-wide standards.

Requirements & Skills:

• Strong experience in embedded display software development using C++, Qt, and QML.
• Experience working with Embedded Linux systems, preferably Yocto-based environments.
• Solid understanding of software engineering principles; experience with requirements engineering is an advantage.
• Familiarity with automotive or off-highway communication buses and protocols such as CAN, LIN, BroadR-Reach, J1939, CANopen, UDS, or DoIP is beneficial.
• Exposure to Qt for MCU and design collaboration tools such as Figma is considered a plus.
• Excellent English communication skills, both written and spoken.

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Job Brief:

We are looking for a Senior DevOps Engineer to join a very small, high-impact DevOps team working closely with Product and Engineering (web developers, SREs, data scientists) and directly with the CTO. This is a hands-on role with real ownership. You will design, build, operate, and evolve production systems end-to-end. The environment is fast-paced, startup-driven, and intentionally lean. This role is for engineers who thrive in ambiguity, move fast, and are comfortable being the final technical and decision-making line.

Responsibilities:

• Design, build, and operate cloud infrastructure in production environments with full lifecycle ownership.
• Run and scale Kubernetes clusters in real-world, high-availability scenarios.
• Implement and maintain Infrastructure as Code using Terraform and Helm.
• Operate GitOps workflows as a core operating model, not as a best-effort practice.
• Own observability across logs, metrics, and tracing, including alerting strategy and reliability improvements.
• Take full ownership of incidents: diagnosis, recovery, root cause analysis, and long-term system redesign.
• Participate in a weekly on-call rotation as the final escalation point.
• Work hands-on with engineering teams, directly supporting application needs (not coordination-only).
• Read and understand application code (Go, Python, shell) to debug, optimize, and improve systems.
• Continuously improve system reliability, scalability, and developer experience.
• Make and own technical trade-offs in an environment with incomplete information and changing priorities.

Requirements & Skills:

• 5+ years of hands-on DevOps / Infrastructure experience in fast-paced startup or scale-up environments.
• Strong, real-world experience with public cloud (AWS, GCP, or Azure).
• Proven production experience operating Kubernetes.
• Deep understanding and daily use of Infrastructure as Code (Terraform).
• Practical experience using GitOps and Helm as operational mechanisms.
• Strong ownership of observability: monitoring, logging, tracing, and alerting.
• Experience running live systems under real load and improving reliability over time.
• Comfortable being on-call as an owner, not just an escalation handler.
• Ability to read and reason about application code (Go, Python, shell).
• Excellent communication skills and perfectly fluent English.
• Goal-oriented, accountable, and execution-focused.
• Humble mindset: open to feedback, willing to learn, and focused on outcomes.
• Strong user-centric mindset — pride in building reliable systems that enable great user experiences.
• Ability to work within ±4 CET time zones.

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Job Brief:

We are actively seeking a Senior Technical Program Manager to drive and deliver multiple integration programs across our client organization.
In this exciting role, you will collaborate cross-functionally and evangelize how our tech teams are architecting the newest innovations to support our latest product offerings.

Responsibilities:

• Build and maintain the technological understanding necessary to assess delivery readiness through reviews, retrospectives, and clear communication.
• Drive measurable program performance, establishing governance and prioritization processes aligned with KPIs.
• Act as an influential member of a highly integrated, cross-functional team composed of both technical and non-technical members
• Plan requirements, identify risks, manage schedules, and communicate effectively with project stakeholders across departments.
•  Ensure alignment and execution excellence through collaboration with engineering, product, and operational teams.
• Coordinate and optimize program delivery across multiple teams and time zones, ensuring seamless integration and high-quality outcomes.

Requirements & Skills:

• 5+ years of experience in Technical Program Management or related roles.
• Strong understanding of the software development lifecycle (SDLC), from conception to delivery.
• Bachelor’s degree in Engineering, Computer Science, or equivalent.
• Proven experience with cloud technologies (AWS/GCP preferred).
• Demonstrated success managing programs across cross-functional teams, building scalable processes, and coordinating release schedules.
• Exceptional communication (written and verbal) and stakeholder management skills.
• Strong attention to detail, self-motivation, and ability to follow through on complex initiatives.

• Relevant certifications such as PMP, Prince2, CSM, or equivalent are a plus.

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Job Brief:

We are hiring an AI Security & Governance Architect to design and own the security, privacy, and compliance layer for enterprise AI and LLM usage across our platform. You will work closely with software engineers, LLM engineers, and platform teams to translate regulatory, security, and privacy requirements into scalable and enforceable technical controls, without introducing application-level friction or performance latency.

This role is based in the company’s offices in 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. 

Responsibilities:

• Design and implement backend, infrastructure-level governance controls for AI and LLM usage.
• Define and enforce policies for data visibility, classification, retention, redaction, and access across AI workflows.
• Lead threat modeling for AI systems, addressing risks such as prompt leakage, data exfiltration, shadow AI usage, and model misuse.
• Map platform capabilities to compliance frameworks including SOC 2, GDPR, ISO 27001, and HIPAA where applicable.
• Define audit-grade evidence requirements and design immutable logging and monitoring strategies.
• Partner with auditors, legal, and security teams to ensure controls meet enterprise and regulatory expectations.
• Establish data minimization and purpose-limitation principles for AI interactions.
• Define secure handling of PII, sensitive data, and regulated data within AI pipelines.
• Advise on anonymization, pseudonymization, encryption, and data retention strategies.
• Collaborate with LLM and platform engineers to embed governance and policy enforcement controls without requiring application refactors.
• Support product and sales teams with security documentation, customer trust materials, and technical explanations for enterprise customers.

Requirements & Skills:

• C 2+ years of experience in security architecture, privacy engineering, compliance engineering, or governance-related roles.
• Hands-on experience designing security controls for cloud-native systems (AWS, GCP, or Azure).
• Strong understanding of data protection and compliance frameworks such as GDPR and SOC 2; HIPAA is a plus.
• Familiarity with AI, ML, or LLM systems, including data flows, prompts, embeddings, and inference pipelines.
• Ability to translate regulatory and compliance requirements into concrete technical designs.
• Experience supporting audits, including evidence collection and control validation.
• Strong threat modeling and risk assessment skills.
• Comfortable working closely with engineering teams on deeply technical systems.
• Experience with AI governance, ML platforms, or data infrastructure is preferred.
• Background in privacy engineering or DPO functions is a plus.
• Experience designing immutable audit trails, compliance observability systems, and responding to enterprise security questionnaires or vendor risk assessments is a plus.

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Job Brief:

We are looking for an experienced Atlassian Platform Administrator to support, enhance, and govern enterprise Atlassian environments.

Responsibilities:

• Assist in managing and monitoring cloud infrastructure and services
• Install, configure, operate, and maintain Atlassian applications, including version upgrades, system backups, security hardening, compliance settings, and app/plugin lifecycle management
• Administer users, groups, and permission schemes to ensure appropriate access control across platforms
• Define, enforce, and standardize governance, security standards, and compliance rules throughout all Atlassian instances
• Design, configure, and maintain Jira workflows, custom fields, screens, dashboards, and automation rules to align with business needs
• Provide user support, guidance, and training to promote efficient use of Atlassian tools and adherence to best practices
• Integrate Atlassian products with external systems and services using APIs, connectors, or marketplace apps
• Continuously monitor system health, security controls, and compliance requirements to ensure regulatory adherence

Requirements & Skills:

• Strong hands-on experience administering Jira, Confluence, and Bitbucket, including configuration, optimization, and marketplace app management
• Advanced expertise in Jira customization, including workflows, issue types, fields, screens, and automation for complex processes
• Proven experience integrating Atlassian platforms with third-party tools such as CI/CD pipelines, collaboration platforms, or other enterprise systems via REST APIs
• Experience managing large-scale Atlassian environments, including performance tuning, capacity planning, and stability improvements
• In-depth understanding of security concepts, access management, data privacy, and regulatory frameworks (e.g., GDPR) within Atlassian ecosystems
• Relevant Atlassian certifications (e.g., Jira Administrator, Confluence Administrator) are highly desirable
• Working knowledge of Linux-based systems and relational databases (such as PostgreSQL) for troubleshooting and backend support

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