Data Engineer (Azure Databricks) at Miratech | Madrid

Join altersolutions as a Data Engineer where you will play a pivotal role in designing and implementing data pipelines that empower businesses with actionable insights. You will work with cutting-edge technologies and collaborate with cross-functional teams to ensure data quality and accessibility.

lastminute.com is looking for a Data Engineer to join its Madrid office. This position centers on building and maintaining data pipelines that support analytics and business decisions across the company. Role overview The Data Engineer will design, implement, and support scalable systems to collect and process data. The work ensures that reliable, high-quality data is available for teams who analyze trends and guide travel-related decisions. What you will do Design and develop data pipelines that move and transform information efficiently Maintain and monitor existing data systems to guarantee their performance and reliability Support analytics by making sure data is accurate and accessible for reporting and insights Location This role is based in Madrid.

Join Sopra Steria, a leading European technology consulting firm, as a Data Engineer in Madrid. In this dynamic role, you will be instrumental in designing, developing, and maintaining data pipelines and architectures. Your expertise will help us transform data into actionable insights, driving innovation and efficiency within our projects.

About UsEstablished in 2017, Unit8 is a rapidly expanding Swiss consulting firm specializing in AI and data analytics. We are passionate about tackling the intricate challenges faced by traditional sectors such as automotive, chemicals, financial services, manufacturing, and pharmaceuticals. Collaborating with leading organizations across Europe, we address issues that directly impact their operations, finance, manufacturing, and R&D. To date, we have successfully completed over 200 projects and have built a talented team of more than 150 professionals across six office locations.At Unit8, our mission is to promote the integration of AI and Data Science into non-digital industries while facilitating their digital transformation. We actively engage in initiatives that resonate with our values, dedicating resources to pro-bono projects and 'engineering for good' efforts. Discover more about our passions on our YouTube channel and explore our website for further insights into our business and recruitment process.Our Recent ProjectsDeveloping a real-time production line monitoring system for the pharmaceutical industry to enhance manufacturing efficiency using technologies such as AWS, EKS, CloudFormation, Docker, and Python.Creating a system to calculate and deliver global climate scores that assess the impact of climate change on natural disaster risks for the insurance sector, utilizing PySpark, Python, and our proprietary data processing platform.Implementing a modern data science platform that includes a data lake for the chemical industry using Azure, ML Studio, Data Factory, Databricks, and Spark.Your RoleAs Unit8 continues to expand, your role will evolve based on the challenges presented by our clients. As a vital member of agile project teams, your primary mission will be to design and implement solutions and infrastructure that address business challenges.Your key responsibilities will include:Designing, building, maintaining, and troubleshooting data pipelines and processing systems critical for production and analytics applications, employing a diverse array of technologies.Driving optimization, testing, and tooling to enhance data quality.Collaborating with software engineers, machine learning specialists, and stakeholders, seizing learning and leadership opportunities daily.Working within multi-functional agile teams to continuously experiment, iterate, and achieve new product objectives.Engaging with clients to understand their needs and deliver tailored solutions.

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 Location This role is based in 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.

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.

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.

About WPP MediaWPP is recognized as a vital growth partner for the world's premier brands. By uniting outstanding talent, reliable data and insights, along with renowned collaborations through our innovative marketing platform, WPP Open, we assist clients in adapting to change, seizing opportunities, and achieving remarkable growth.WPP Media operates as WPP's AI-focused media unit, integrating media, data, and strategic partnerships to provide personalized creative solutions at scale. With WPP Open and powered by Open Intelligence, clients gain clear visibility into the efficacy of their media investments.For further details, visit wppmedia.com.At WPP Media, our culture and our people are the driving force behind our success, enabling us to deliver exceptional experiences. In this role, your contributions will be crucial in embodying and promoting our core values:Be Extraordinary: Leading collectively to inspire transformative creativity.Be Open: Balancing experiences for people and clients, fostering trust.Be Optimistic: Driving growth and development to mobilize the entire enterprise.Your Role and ContributionCurrently, our Data, Technology & Analytics team is seeking a Data Engineer to drive the implementation and maintenance of scalable data solutions that address the challenges of our clients and the organization.In this role, you will have the opportunity to:Develop and maintain WPP Media's data infrastructure.Implement and maintain reporting and benchmarking tools.Create customized reporting solutions for each client.Automate processes to ensure data quality, scalability, and speed.Verify and validate data flows between various processes.Develop and automate data extraction, primarily using BigQuery and DBT.Maintain ongoing communication with internal teams and clients throughout project development.What We Are Looking For:At least 2 years of experience in a similar role, with advanced knowledge of SQL, Google BigQuery, and Google Cloud Platform.

Ebury is hiring a Senior Data Engineer - AI Platform to join the Data Platform Engineering team in Madrid or Malaga. This hybrid position requires working onsite four days each week, with one day remote. Team focus The Data team supports Ebury’s growth by building, maintaining, and improving the company’s Data Platform. The group works closely with business operations and leads projects that enable new AI initiatives. Key responsibilities Collaborate with the Data Platform team and other domain teams to design and implement new platform features. Develop the Agentic Data Plane (ADP), which serves as a unified, governed interface layer for AI and agentic products. Ensure the platform enables secure and scalable deployment of AI and agentic solutions. Contribute to systems that improve data access, governance, lineage, traceability, and replayability. Work arrangement Role based in Madrid or Malaga. Hybrid schedule: four days onsite, one day remote per week.

We are seeking a talented and detail-oriented Data Analyst to join our team at altersolutions in Madrid. As a Data Analyst, you will play a vital role in analyzing complex datasets, generating actionable insights, and supporting data-driven decision-making processes within our organization.Your responsibilities will include collecting, processing, and performing statistical analyses on large datasets, as well as producing reports and visualizations to convey findings effectively. You will collaborate with cross-functional teams to identify opportunities for improvement and contribute to strategic initiatives.

Role overview Nexthink is looking for a Data Scientist based in Madrid. The position centers on working with complex data sets and building predictive models to advance Information Technology projects. What you will do Analyze large and diverse data sets to identify trends and generate actionable insights Create predictive models that guide IT decision-making Contribute to projects focused on enhancing user experiences and streamlining IT operations Impact The analysis and models developed in this role will help Nexthink improve how users interact with technology and support IT teams in their daily work. Insights generated will influence the direction of important projects across the organization.

Experian is hiring a Data Scientist to join the team in Madrid. This position centers on applying data analysis, machine learning, and statistical modeling to support business goals. Role overview As a Data Scientist, you will work closely with colleagues from different departments to create and refine data-driven solutions. The work aims to improve Experian’s products and services through actionable insights and innovation. What you will do Analyze complex data sets to uncover patterns and trends Apply machine learning and statistical modeling techniques Collaborate with cross-functional teams on solution development Location This role is based in Madrid.

Join Auto1 Group as a Senior Data Scientist and be at the forefront of data-driven decision making. In this pivotal role, you will leverage advanced statistical techniques and machine learning algorithms to analyze vast datasets and provide actionable insights that drive business strategies. Collaborate with cross-functional teams to develop innovative solutions, optimize operations, and enhance customer experiences.

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.

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.

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.

jobandtalent is looking for a Senior Analytics Engineer to join the team in Madrid. This position centers on using data analytics to support business decisions and strengthen the company’s data infrastructure. Role overview The Senior Analytics Engineer will work with complex data sets, translating them into clear, actionable insights. The role involves collaborating with colleagues to ensure data is accessible, accurate, and ready to inform key decisions across the business. What you will do Develop and maintain data models and analytics tools Transform raw data into meaningful reports and dashboards Work closely with stakeholders to understand data needs and deliver useful solutions Requirements Strong experience in data analytics and engineering Ability to work with complex data and communicate findings clearly Comfortable working in a collaborative, evolving environment