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Experience Level
Mid to Senior
About the job
Nexthink is hiring a Data Analyst / Engineer in Madrid. This full-time role centers on turning complex data into clear, practical insights that support strategic choices across the organization.
Role overview
This position focuses on analyzing and interpreting data to support Nexthink’s digital experience goals. The work involves using analytical skills to advance data-driven projects and help guide important decisions.
What you will do
Transform raw data into insights that inform strategy
Support ongoing data initiatives to strengthen decision-making
Contribute to maintaining Nexthink’s focus on digital experience
Nexthink is hiring a Data Analyst / Engineer in Madrid. This full-time role centers on turning complex data into clear, practical insights that support strategic choices across the organization. Role overview This position focuses on analyzing and interpreting data to support Nexthink’s digital experience goals. The work involves using analytical skills to a…
Ebury empowers ambitious businesses to achieve global growth, and we apply this same philosophy to our team members. We promote innovation, collaboration, and problem-solving while creating an inclusive environment where everyone feels valued and supported to succeed.If you’re a team player eager to revolutionize the way businesses function on a global scale, we invite you to connect with us. Ebury is excited to help accelerate your career and enable you to shape the future.Senior Data Platform EngineerMadrid Office - Hybrid: 4 days in the office, 1 day working from homeBecome a key part of our Data Team at Ebury's Madrid Office.Our ambitious growth strategy hinges on the success of our Data team, and we are looking for a Senior Data Engineer to join our Data Platform team! Our goal is to develop, maintain, and enhance Ebury’s Data Platform focusing on scalable, robust, and innovative frameworks.In your role as a Senior Data Platform Engineer, you will collaborate with your team to develop and improve our Data Platform.
Join Aircall as a Senior Data Engineer specializing in Analytics to drive our data initiatives and support our decision-making processes. You will collaborate closely with cross-functional teams to harness data and deliver actionable insights that will improve our product and customer experience.
Join our dynamic team at fusionconsulting as a Senior Data Quality Consultant. In this critical role, you will leverage your expertise to enhance data quality processes and strategies within our Data Excellence & Strategy (DES) department. Your contributions will ensure that our clients receive the highest level of data integrity and reliability.As a Senior Data Quality Consultant, you will collaborate closely with cross-functional teams to implement best practices, conduct data quality assessments, and develop innovative solutions that align with our clients' business objectives.
Ebury empowers ambitious enterprises to unlock global growth, and we extend this ethos to our team members. We promote innovation, collaboration, and problem-solving while cultivating an environment where everyone feels valued, supported, and empowered to thrive.If you are a collaborative innovator eager to reshape global business practices, we invite you to connect with us. Discover how Ebury can propel your career and enable you to influence the future of finance.Data Engineer: Drive Our AI Revolution & Data EcosystemLocation: Madrid (Hybrid: 4 days in-office / 1 day WFH)Technology Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.Why Choose Ebury?At Ebury, we don't merely facilitate monetary transactions; we redefine the limits of Fintech innovation. Our strategic expansion is underpinned by data, and we seek a Data Engineer eager to be at the forefront of this transformation.We are not interested in mere task completers; we are searching for problem solvers, technology enthusiasts, and proactive engineers who delve into the why and what for behind the data, proposing high-impact projects that significantly benefit the business.The Challenge: Evolving Beyond Pipelines to AI-Ready SystemsWe are at a pivotal junction. Beyond maintaining a robust platform, we possess a strong demand for Machine Learning, LLMs, and Agents. Your mission will extend beyond data movement; you will build the infrastructure that empowers Ebury to spearhead the Gen-AI revolution in the financial sector.Your Advanced Toolkit:Orchestration: Airflow (Cloud Composer) serves as our backbone.Cloud Power: The complete GCP suite (GKE, Cloud Run, Functions, Artifact Registry).Smart Ingestion: We utilize DLT (Data Load Tool) to construct seamless and scalable data pipelines.Modeling & Quality: We implement dbt at scale, integrating DuckDB to uphold robust Data Contracts.DevOps Culture: Dockerized environments and solid CI/CD practices are standard in GitHub Actions.
Join Cabify as a Senior Data Scientist specializing in Advanced Analytics, where you'll leverage your expertise to drive data-driven decision-making across our organization. In this pivotal role, you'll collaborate with cross-functional teams to develop predictive models, conduct exploratory data analysis, and implement machine learning algorithms that enhance our service offerings. Your contributions will be essential in shaping the future of transportation solutions in urban areas.
Why Join dLocal?At dLocal, we empower some of the largest global companies to seamlessly collect payments across 40 emerging market countries. Our trusted solutions enhance conversion rates and facilitate effortless payment expansion into the world's most dynamic markets. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to thrive in rapidly growing economies.By becoming part of our innovative team, you will collaborate with over 1,000 talented individuals from more than 30 nationalities, cultivating an international career that positively impacts millions of lives every day. We are passionate builders who embrace challenges, prioritize customer satisfaction, and foster an environment where you can excel.Role OverviewWe are in search of a driven and impactful Senior Data Scientist who thrives in an autonomous environment. In this pivotal role, you won’t just perform tasks; you will take ownership of the objectives, methodologies, and implications of your projects. Acting as a strategic data partner, you will leverage state-of-the-art AI tools to accelerate our efforts and tackle complex challenges that significantly influence dLocal's success.What projects will you undertake? You will engage in developing solutions for anomaly detection, forecasting, and payment routing, requiring expertise in unsupervised learning, hybrid time series models, clustering, and reinforcement learning, all while emphasizing clarity and explainability.
Join Cabify as a Data Scientist and contribute to innovative data-driven solutions that enhance our transportation services. You will leverage your expertise in data analysis and machine learning to derive actionable insights from complex datasets, driving strategic decisions and improving customer experiences.
Join our innovative team at inetum2 as a Senior Data Engineer specializing in Databricks. In this pivotal role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines. Collaborate with cross-functional teams to deliver high-quality data solutions that drive decision-making and enhance business intelligence.
Join our dynamic team as a Senior Data Scientist in the Incubation Lab at NielsenIQ, where you will leverage your expertise in data science to drive innovative solutions and insights. In this role, you will analyze complex datasets, utilize advanced machine learning techniques, and collaborate with cross-functional teams to develop data-driven strategies that enhance our business operations.
About Air Apps Air Apps builds AI-powered tools to help people plan, work, and live more efficiently. Founded in 2018 in Lisbon, the company has grown to offices in Lisbon and San Francisco, remains self-funded, and has reached over 100 million downloads worldwide. The team values long-term vision and challenges standard approaches to create products that make a real difference. Role Overview: Data Analyst The Data Analyst will join the Madrid office onsite, working closely with cross-functional teams. This role focuses on analyzing data to reveal business insights, improve product performance, and support decision-making through clear reporting. Relocation assistance is available for those moving to Madrid. Main Responsibilities Analyze user behavior, product performance, and business metrics to spot trends and identify growth opportunities. Create and maintain interactive dashboards and reports using Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and organize large datasets to ensure data accuracy and reliability. Define and track KPIs related to marketing, product, and business performance. Use SQL, Python, or R for extracting, analyzing, and manipulating data. Work with product managers, engineers, and marketing teams to deliver actionable insights. Conduct A/B testing and analyze experiments to guide product improvements. What You'll Bring Strong analytical skills and a data-driven approach to problem solving. Experience with data visualization tools (Tableau, Looker, Power BI, or Google Data Studio). Proficiency in SQL, Python, or R. Ability to translate complex data into clear, actionable insights. Work Location This is a fully onsite role based in Madrid. Relocation assistance is available for candidates moving to Madrid.
About Air Apps Air Apps develops AI-powered tools for planning and productivity. Founded in Lisbon in 2018, the company has grown to reach over 100 million downloads worldwide. With offices in Lisbon, San Francisco, and now Madrid, Air Apps remains self-funded and focused on building the world's first AI-driven Personal & Entrepreneurial Resource Planner (PRP). Role Overview: Data Engineer (Onsite in Madrid) The Data Engineer will work onsite at the Madrid office, collaborating with cross-functional teams. This role focuses on analyzing and interpreting data to support business decisions and improve product performance. Relocation support is available for this position. What You Will Do Analyze user behavior, product performance, and business metrics to identify trends and opportunities. Build and maintain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and monitor KPIs across marketing, product, and business functions. Use SQL, Python, or R for data extraction, analysis, and manipulation. Work closely with product managers, engineers, and marketing teams to deliver actionable insights. Conduct A/B testing and analyze experiments to guide product improvements. Who We're Looking For Strong analytical skills and a data-driven approach. Experience with data visualization tools (Tableau, Looker, Power BI, or Google Data Studio). Proficiency in SQL, Python, or R. Ability to translate complex data into clear, meaningful insights. This is a fully onsite role based in Madrid, with relocation support available for the right candidate.
Role overview MSX International seeks a Data Analyst based in Madrid. The position focuses on transforming raw data into practical insights that guide business choices and help refine company operations. Strong analytical skills and careful attention to detail will influence strategies throughout the organization. What you will do Examine data sets to spot trends and patterns Convert findings into recommendations for improving operations Provide actionable data insights to support strategic decisions Work environment The Madrid office values fresh ideas and maintains high standards. Teamwork and innovation are part of daily work at MSX International.
Ebury empowers forward-thinking businesses to achieve global expansion, and we adopt the same philosophy with our employees. We embrace innovation and agility, collaboration and problem-solving, and cultivate an inclusive environment where everyone feels valued, supported, and inspired to thrive.If you are a team player eager to reshape global business operations, reach out to us. We would love to explore how Ebury can fast-track your career and enable you to influence the future.Position: Data Analyst - Fincrime ReportingLocation: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day remote each weekOur ambitious growth strategy at Ebury is driven by our Data Analytics & Compliance team, and we are on the lookout for a Data Analyst to join our Regulatory FinCrime Compliance domain!Our data mission focuses on facilitating effective risk detection, monitoring, and regulatory compliance through robust data models, scalable analytics, and high-quality reporting.The team collaborates closely with Compliance, Risk, and Product teams to design and implement data-driven controls, detection mechanisms, and investigative tools across various jurisdictions.Projects encompass the development of curated data models to cover global key risk indicators for financial crime compliance and automation into standardized board packs, along with scaling our regulatory reporting engine to integrate specific datasets for transaction monitoring, screening, and client KYC.As a member of the team, you will:Design and maintain data models and datasets utilized for transaction monitoring, customer risk scoring, and financial crime investigations.Oversee the end-to-end delivery of FinCrime analytics solutions: including requirements gathering, data extraction, transformation, validation, and deployment.Enhance and optimize detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioral patterns).Conduct data quality checks and controls to ensure the completeness, accuracy, and auditability of FinCrime datasets.Create dashboards and analytical tools (Looker / Looker Studio or similar) for tracking risk exposure, alerts, and investigation workflows.Assist in regulatory and internal audits, providing traceability of data, methodologies, and controls.Contribute to the ongoing improvement of our data analytics frameworks.
Full-time|On-site|Madrid, Community of Madrid, Spain
Role Overview Destinus Group seeks a BI Data Engineer to help transform scattered spreadsheets into a structured, scalable data platform. Based in Madrid, this role focuses on building and maintaining the core infrastructure that turns raw data into reliable insights for production, supply chain, and strategic decisions. The position centers on managing the Microsoft Fabric Lakehouse, which serves over 200 team members across five European sites. The BI Data Engineer will lead efforts to migrate legacy Excel-based reporting into organized, automated data pipelines. Integrating new data sources and streamlining connections with ERP systems will be key to supporting Destinus Group’s continued growth. About Destinus Group Destinus Group develops advanced Unmanned Aerial Vehicles (UAVs) for the defense sector, working with government and defense organizations worldwide. The company focuses on delivering high-speed, precise, and cost-effective solutions tailored to the demands of modern defense operations. Destinus is committed to pushing aerospace innovation forward to meet mission-critical needs. What You Will Do Oversee and maintain the Microsoft Fabric Lakehouse to ensure data is available, accurate, and performs well across all integrated domains. Automate the migration of existing Excel-based data sources into the Lakehouse using Dataflow Gen 2, reducing manual data handling. Add and integrate new data sources as reporting needs evolve, including current Excel and SharePoint files and future systems like quality management tools. Connect operational data with ERP data (Microsoft Dynamics D365 F&O) within the Lakehouse for unified reporting. Work closely with the Operations Data Specialist and BI users to align the data layer with dashboard and analytics requirements. Set up data quality checks, monitoring, and alerts to catch pipeline failures or data issues early. Document data models, pipeline logic, and transformation rules for maintainability over time.
Ebury empowers ambitious businesses to achieve global expansion, mirroring this ethos in our approach to our team. We champion innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you're a collaborative professional eager to revolutionize global business operations, connect with us. We would be delighted to discuss how Ebury can accelerate your career trajectory and enable you to influence the future.Join Our Data Team as a Senior Data Engineer - AI PlatformHybrid Work Model: 4 days in the office, 1 day remoteBecome a part of Ebury's Data Team in our Madrid or Málaga office.The success of Ebury's strategic growth plan heavily relies on our Data team, and we are on the lookout for a skilled Data Engineer - AI Platform to enhance our Data Platform Engineering team!Our mission centers on developing, maintaining, and enhancing Ebury's Data Platform, with a current focus on constructing the Agentic Data Plane (ADP): a cohesive, governed interface layer for AI and agentic products that simplifies data communication and access while ensuring governance, lineage, traceability, and full replayability.As an AI Platform Engineer, you will collaborate closely with the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that allow Ebury to safely deploy AI and agentic products at scale.What We Offer:Attractive salary and benefits packagePerformance-based discretionary bonusOngoing personal development through training and certificationSupportive of Open Source principles, encouraging contributions to both internal and external projects
About the Role Miratech is hiring a Data Engineer with expertise in Azure Databricks for its Madrid office. This position focuses on building and maintaining data pipelines that support integration and processing across the organization. What You Will Do Design and implement data pipelines using Azure Databricks Ensure reliable data integration and processing Work closely with teams from different departments to support data-driven projects Help provide insights that inform business decisions and improve operations Location Madrid
Contract|$150/hr - $150/hr|On-site|Madrid, Spain. Carrera de San Jerónimo 15, 28014, Madrid, Spain
Unison Infrastructure is a dynamic investment firm specializing in telecommunications and renewable energy infrastructure, backed by Ardian, a global investment firm headquartered in Paris with over $150 billion in assets under management. Established in 2003, Unison focuses on real estate and infrastructure that supports wireless and renewable energy tenants across the United States and Europe. As we experience rapid growth, we are eager to welcome talented and entrepreneurial individuals to join our team and contribute to our success.We are currently seeking a motivated and meticulous Data Researcher to enhance our operations and support our business initiatives.Role Overview:In this role, you will be responsible for the precise collection of data from diverse sources and its accurate entry into our CRM system. Your day-to-day tasks will include data entry administration, monitoring progress to achieve daily, weekly, and monthly targets, and assisting the team with data inquiries and record updates as necessary. You will also be required to perform additional related duties to meet the evolving needs of Unison Site Management.Qualifications:While a degree in a relevant field is advantageous, it is not mandatory. We are looking for candidates who possess:• A keen eye for detail and a commitment to accuracy• An intermediate proficiency in Excel• Exceptional communication and team collaboration skills• Strong organizational skills to manage your workload effectively and meet deadlines• Comfort in both independent and team settings• A professional demeanor and a positive attitude, complemented by robust problem-solving abilities• Bilingual proficiency in Spanish and EnglishAdditional Information:This position is hourly and offers flexibility in work hours, with some required overlap with U.S. business hours for team meetings and conference calls.
About the Role inetum2 is hiring a Data Engineer and Machine Learning Specialist in Madrid. This position focuses on building data-driven solutions to improve industrial processes. The role involves working closely with teams across the company to implement machine learning algorithms and ensure data systems can scale as needed. What You Will Do Develop solutions that use data to optimize industrial operations Collaborate with colleagues from different disciplines on project delivery Implement machine learning models in production environments Support the scalability and reliability of data infrastructure Location This role is based in Madrid.
About the Role Neoris is hiring a Python Developer in Madrid. This role focuses on building scalable applications and tools that support business operations and drive efficiency. Collaboration with teams from different functions is a key part of the work. What You Will Do Design, implement, and maintain software solutions using Python Work with colleagues across departments to understand needs and deliver effective tools Contribute to projects that improve processes and operational performance Location This position is based in Madrid, Spain.
Nexthink is hiring a Data Analyst / Engineer in Madrid. This full-time role centers on turning complex data into clear, practical insights that support strategic choices across the organization. Role overview This position focuses on analyzing and interpreting data to support Nexthink’s digital experience goals. The work involves using analytical skills to a…
Ebury empowers ambitious businesses to achieve global growth, and we apply this same philosophy to our team members. We promote innovation, collaboration, and problem-solving while creating an inclusive environment where everyone feels valued and supported to succeed.If you’re a team player eager to revolutionize the way businesses function on a global scale, we invite you to connect with us. Ebury is excited to help accelerate your career and enable you to shape the future.Senior Data Platform EngineerMadrid Office - Hybrid: 4 days in the office, 1 day working from homeBecome a key part of our Data Team at Ebury's Madrid Office.Our ambitious growth strategy hinges on the success of our Data team, and we are looking for a Senior Data Engineer to join our Data Platform team! Our goal is to develop, maintain, and enhance Ebury’s Data Platform focusing on scalable, robust, and innovative frameworks.In your role as a Senior Data Platform Engineer, you will collaborate with your team to develop and improve our Data Platform.
Join Aircall as a Senior Data Engineer specializing in Analytics to drive our data initiatives and support our decision-making processes. You will collaborate closely with cross-functional teams to harness data and deliver actionable insights that will improve our product and customer experience.
Join our dynamic team at fusionconsulting as a Senior Data Quality Consultant. In this critical role, you will leverage your expertise to enhance data quality processes and strategies within our Data Excellence & Strategy (DES) department. Your contributions will ensure that our clients receive the highest level of data integrity and reliability.As a Senior Data Quality Consultant, you will collaborate closely with cross-functional teams to implement best practices, conduct data quality assessments, and develop innovative solutions that align with our clients' business objectives.
Ebury empowers ambitious enterprises to unlock global growth, and we extend this ethos to our team members. We promote innovation, collaboration, and problem-solving while cultivating an environment where everyone feels valued, supported, and empowered to thrive.If you are a collaborative innovator eager to reshape global business practices, we invite you to connect with us. Discover how Ebury can propel your career and enable you to influence the future of finance.Data Engineer: Drive Our AI Revolution & Data EcosystemLocation: Madrid (Hybrid: 4 days in-office / 1 day WFH)Technology Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.Why Choose Ebury?At Ebury, we don't merely facilitate monetary transactions; we redefine the limits of Fintech innovation. Our strategic expansion is underpinned by data, and we seek a Data Engineer eager to be at the forefront of this transformation.We are not interested in mere task completers; we are searching for problem solvers, technology enthusiasts, and proactive engineers who delve into the why and what for behind the data, proposing high-impact projects that significantly benefit the business.The Challenge: Evolving Beyond Pipelines to AI-Ready SystemsWe are at a pivotal junction. Beyond maintaining a robust platform, we possess a strong demand for Machine Learning, LLMs, and Agents. Your mission will extend beyond data movement; you will build the infrastructure that empowers Ebury to spearhead the Gen-AI revolution in the financial sector.Your Advanced Toolkit:Orchestration: Airflow (Cloud Composer) serves as our backbone.Cloud Power: The complete GCP suite (GKE, Cloud Run, Functions, Artifact Registry).Smart Ingestion: We utilize DLT (Data Load Tool) to construct seamless and scalable data pipelines.Modeling & Quality: We implement dbt at scale, integrating DuckDB to uphold robust Data Contracts.DevOps Culture: Dockerized environments and solid CI/CD practices are standard in GitHub Actions.
Join Cabify as a Senior Data Scientist specializing in Advanced Analytics, where you'll leverage your expertise to drive data-driven decision-making across our organization. In this pivotal role, you'll collaborate with cross-functional teams to develop predictive models, conduct exploratory data analysis, and implement machine learning algorithms that enhance our service offerings. Your contributions will be essential in shaping the future of transportation solutions in urban areas.
Why Join dLocal?At dLocal, we empower some of the largest global companies to seamlessly collect payments across 40 emerging market countries. Our trusted solutions enhance conversion rates and facilitate effortless payment expansion into the world's most dynamic markets. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to thrive in rapidly growing economies.By becoming part of our innovative team, you will collaborate with over 1,000 talented individuals from more than 30 nationalities, cultivating an international career that positively impacts millions of lives every day. We are passionate builders who embrace challenges, prioritize customer satisfaction, and foster an environment where you can excel.Role OverviewWe are in search of a driven and impactful Senior Data Scientist who thrives in an autonomous environment. In this pivotal role, you won’t just perform tasks; you will take ownership of the objectives, methodologies, and implications of your projects. Acting as a strategic data partner, you will leverage state-of-the-art AI tools to accelerate our efforts and tackle complex challenges that significantly influence dLocal's success.What projects will you undertake? You will engage in developing solutions for anomaly detection, forecasting, and payment routing, requiring expertise in unsupervised learning, hybrid time series models, clustering, and reinforcement learning, all while emphasizing clarity and explainability.
Join Cabify as a Data Scientist and contribute to innovative data-driven solutions that enhance our transportation services. You will leverage your expertise in data analysis and machine learning to derive actionable insights from complex datasets, driving strategic decisions and improving customer experiences.
Join our innovative team at inetum2 as a Senior Data Engineer specializing in Databricks. In this pivotal role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines. Collaborate with cross-functional teams to deliver high-quality data solutions that drive decision-making and enhance business intelligence.
Join our dynamic team as a Senior Data Scientist in the Incubation Lab at NielsenIQ, where you will leverage your expertise in data science to drive innovative solutions and insights. In this role, you will analyze complex datasets, utilize advanced machine learning techniques, and collaborate with cross-functional teams to develop data-driven strategies that enhance our business operations.
About Air Apps Air Apps builds AI-powered tools to help people plan, work, and live more efficiently. Founded in 2018 in Lisbon, the company has grown to offices in Lisbon and San Francisco, remains self-funded, and has reached over 100 million downloads worldwide. The team values long-term vision and challenges standard approaches to create products that make a real difference. Role Overview: Data Analyst The Data Analyst will join the Madrid office onsite, working closely with cross-functional teams. This role focuses on analyzing data to reveal business insights, improve product performance, and support decision-making through clear reporting. Relocation assistance is available for those moving to Madrid. Main Responsibilities Analyze user behavior, product performance, and business metrics to spot trends and identify growth opportunities. Create and maintain interactive dashboards and reports using Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and organize large datasets to ensure data accuracy and reliability. Define and track KPIs related to marketing, product, and business performance. Use SQL, Python, or R for extracting, analyzing, and manipulating data. Work with product managers, engineers, and marketing teams to deliver actionable insights. Conduct A/B testing and analyze experiments to guide product improvements. What You'll Bring Strong analytical skills and a data-driven approach to problem solving. Experience with data visualization tools (Tableau, Looker, Power BI, or Google Data Studio). Proficiency in SQL, Python, or R. Ability to translate complex data into clear, actionable insights. Work Location This is a fully onsite role based in Madrid. Relocation assistance is available for candidates moving to Madrid.
About Air Apps Air Apps develops AI-powered tools for planning and productivity. Founded in Lisbon in 2018, the company has grown to reach over 100 million downloads worldwide. With offices in Lisbon, San Francisco, and now Madrid, Air Apps remains self-funded and focused on building the world's first AI-driven Personal & Entrepreneurial Resource Planner (PRP). Role Overview: Data Engineer (Onsite in Madrid) The Data Engineer will work onsite at the Madrid office, collaborating with cross-functional teams. This role focuses on analyzing and interpreting data to support business decisions and improve product performance. Relocation support is available for this position. What You Will Do Analyze user behavior, product performance, and business metrics to identify trends and opportunities. Build and maintain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and monitor KPIs across marketing, product, and business functions. Use SQL, Python, or R for data extraction, analysis, and manipulation. Work closely with product managers, engineers, and marketing teams to deliver actionable insights. Conduct A/B testing and analyze experiments to guide product improvements. Who We're Looking For Strong analytical skills and a data-driven approach. Experience with data visualization tools (Tableau, Looker, Power BI, or Google Data Studio). Proficiency in SQL, Python, or R. Ability to translate complex data into clear, meaningful insights. This is a fully onsite role based in Madrid, with relocation support available for the right candidate.
Role overview MSX International seeks a Data Analyst based in Madrid. The position focuses on transforming raw data into practical insights that guide business choices and help refine company operations. Strong analytical skills and careful attention to detail will influence strategies throughout the organization. What you will do Examine data sets to spot trends and patterns Convert findings into recommendations for improving operations Provide actionable data insights to support strategic decisions Work environment The Madrid office values fresh ideas and maintains high standards. Teamwork and innovation are part of daily work at MSX International.
Ebury empowers forward-thinking businesses to achieve global expansion, and we adopt the same philosophy with our employees. We embrace innovation and agility, collaboration and problem-solving, and cultivate an inclusive environment where everyone feels valued, supported, and inspired to thrive.If you are a team player eager to reshape global business operations, reach out to us. We would love to explore how Ebury can fast-track your career and enable you to influence the future.Position: Data Analyst - Fincrime ReportingLocation: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day remote each weekOur ambitious growth strategy at Ebury is driven by our Data Analytics & Compliance team, and we are on the lookout for a Data Analyst to join our Regulatory FinCrime Compliance domain!Our data mission focuses on facilitating effective risk detection, monitoring, and regulatory compliance through robust data models, scalable analytics, and high-quality reporting.The team collaborates closely with Compliance, Risk, and Product teams to design and implement data-driven controls, detection mechanisms, and investigative tools across various jurisdictions.Projects encompass the development of curated data models to cover global key risk indicators for financial crime compliance and automation into standardized board packs, along with scaling our regulatory reporting engine to integrate specific datasets for transaction monitoring, screening, and client KYC.As a member of the team, you will:Design and maintain data models and datasets utilized for transaction monitoring, customer risk scoring, and financial crime investigations.Oversee the end-to-end delivery of FinCrime analytics solutions: including requirements gathering, data extraction, transformation, validation, and deployment.Enhance and optimize detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioral patterns).Conduct data quality checks and controls to ensure the completeness, accuracy, and auditability of FinCrime datasets.Create dashboards and analytical tools (Looker / Looker Studio or similar) for tracking risk exposure, alerts, and investigation workflows.Assist in regulatory and internal audits, providing traceability of data, methodologies, and controls.Contribute to the ongoing improvement of our data analytics frameworks.
Full-time|On-site|Madrid, Community of Madrid, Spain
Role Overview Destinus Group seeks a BI Data Engineer to help transform scattered spreadsheets into a structured, scalable data platform. Based in Madrid, this role focuses on building and maintaining the core infrastructure that turns raw data into reliable insights for production, supply chain, and strategic decisions. The position centers on managing the Microsoft Fabric Lakehouse, which serves over 200 team members across five European sites. The BI Data Engineer will lead efforts to migrate legacy Excel-based reporting into organized, automated data pipelines. Integrating new data sources and streamlining connections with ERP systems will be key to supporting Destinus Group’s continued growth. About Destinus Group Destinus Group develops advanced Unmanned Aerial Vehicles (UAVs) for the defense sector, working with government and defense organizations worldwide. The company focuses on delivering high-speed, precise, and cost-effective solutions tailored to the demands of modern defense operations. Destinus is committed to pushing aerospace innovation forward to meet mission-critical needs. What You Will Do Oversee and maintain the Microsoft Fabric Lakehouse to ensure data is available, accurate, and performs well across all integrated domains. Automate the migration of existing Excel-based data sources into the Lakehouse using Dataflow Gen 2, reducing manual data handling. Add and integrate new data sources as reporting needs evolve, including current Excel and SharePoint files and future systems like quality management tools. Connect operational data with ERP data (Microsoft Dynamics D365 F&O) within the Lakehouse for unified reporting. Work closely with the Operations Data Specialist and BI users to align the data layer with dashboard and analytics requirements. Set up data quality checks, monitoring, and alerts to catch pipeline failures or data issues early. Document data models, pipeline logic, and transformation rules for maintainability over time.
Ebury empowers ambitious businesses to achieve global expansion, mirroring this ethos in our approach to our team. We champion innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you're a collaborative professional eager to revolutionize global business operations, connect with us. We would be delighted to discuss how Ebury can accelerate your career trajectory and enable you to influence the future.Join Our Data Team as a Senior Data Engineer - AI PlatformHybrid Work Model: 4 days in the office, 1 day remoteBecome a part of Ebury's Data Team in our Madrid or Málaga office.The success of Ebury's strategic growth plan heavily relies on our Data team, and we are on the lookout for a skilled Data Engineer - AI Platform to enhance our Data Platform Engineering team!Our mission centers on developing, maintaining, and enhancing Ebury's Data Platform, with a current focus on constructing the Agentic Data Plane (ADP): a cohesive, governed interface layer for AI and agentic products that simplifies data communication and access while ensuring governance, lineage, traceability, and full replayability.As an AI Platform Engineer, you will collaborate closely with the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that allow Ebury to safely deploy AI and agentic products at scale.What We Offer:Attractive salary and benefits packagePerformance-based discretionary bonusOngoing personal development through training and certificationSupportive of Open Source principles, encouraging contributions to both internal and external projects
About the Role Miratech is hiring a Data Engineer with expertise in Azure Databricks for its Madrid office. This position focuses on building and maintaining data pipelines that support integration and processing across the organization. What You Will Do Design and implement data pipelines using Azure Databricks Ensure reliable data integration and processing Work closely with teams from different departments to support data-driven projects Help provide insights that inform business decisions and improve operations Location Madrid
Contract|$150/hr - $150/hr|On-site|Madrid, Spain. Carrera de San Jerónimo 15, 28014, Madrid, Spain
Unison Infrastructure is a dynamic investment firm specializing in telecommunications and renewable energy infrastructure, backed by Ardian, a global investment firm headquartered in Paris with over $150 billion in assets under management. Established in 2003, Unison focuses on real estate and infrastructure that supports wireless and renewable energy tenants across the United States and Europe. As we experience rapid growth, we are eager to welcome talented and entrepreneurial individuals to join our team and contribute to our success.We are currently seeking a motivated and meticulous Data Researcher to enhance our operations and support our business initiatives.Role Overview:In this role, you will be responsible for the precise collection of data from diverse sources and its accurate entry into our CRM system. Your day-to-day tasks will include data entry administration, monitoring progress to achieve daily, weekly, and monthly targets, and assisting the team with data inquiries and record updates as necessary. You will also be required to perform additional related duties to meet the evolving needs of Unison Site Management.Qualifications:While a degree in a relevant field is advantageous, it is not mandatory. We are looking for candidates who possess:• A keen eye for detail and a commitment to accuracy• An intermediate proficiency in Excel• Exceptional communication and team collaboration skills• Strong organizational skills to manage your workload effectively and meet deadlines• Comfort in both independent and team settings• A professional demeanor and a positive attitude, complemented by robust problem-solving abilities• Bilingual proficiency in Spanish and EnglishAdditional Information:This position is hourly and offers flexibility in work hours, with some required overlap with U.S. business hours for team meetings and conference calls.
About the Role inetum2 is hiring a Data Engineer and Machine Learning Specialist in Madrid. This position focuses on building data-driven solutions to improve industrial processes. The role involves working closely with teams across the company to implement machine learning algorithms and ensure data systems can scale as needed. What You Will Do Develop solutions that use data to optimize industrial operations Collaborate with colleagues from different disciplines on project delivery Implement machine learning models in production environments Support the scalability and reliability of data infrastructure Location This role is based in Madrid.
About the Role Neoris is hiring a Python Developer in Madrid. This role focuses on building scalable applications and tools that support business operations and drive efficiency. Collaboration with teams from different functions is a key part of the work. What You Will Do Design, implement, and maintain software solutions using Python Work with colleagues across departments to understand needs and deliver effective tools Contribute to projects that improve processes and operational performance Location This position is based in Madrid, Spain.
