Senior Data Analyst at inetum2 | Madrid

inetum2 is seeking a Senior Data Analyst to join our dynamic team in Madrid. In this role, you will leverage your analytical skills to transform data into actionable insights that drive business success. You will work closely with cross-functional teams to identify trends and assist in decision-making processes.

As a Senior Data Analyst at Voodoo, you will play a pivotal role in transforming data into actionable insights that drive our gaming projects, particularly for Paper.io 2. You will collaborate with cross-functional teams to analyze user behavior, improve game performance, and support data-driven decision-making.Your expertise in data analysis will help enhance player experiences and contribute to the overall success of our games.

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 the Role Miratech is hiring a Data Engineer with strong Azure Databricks skills to join the team in Barcelona. This position focuses on building and maintaining scalable data pipelines and models that power analytics and reporting across the company. What You Will Do Design and develop data pipelines using Azure Databricks Maintain and optimize data models for analytics and reporting Apply cloud technology and data engineering best practices to deliver reliable data solutions Help turn raw data into insights that support business decisions Location This role is based in Barcelona.

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

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.

Role overview SQLI seeks a Data Engineer in Valencia to design and build data solutions that support business intelligence. This position centers on creating systems that help teams make informed decisions using reliable data. The Data Engineer will work with colleagues from various departments to deliver data pipelines and databases that are both efficient and secure. What you will do Design and develop data pipelines for analytics and reporting Build and maintain databases that meet performance and security requirements Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Location This role is based in Valencia.

At Lighthouse, we are dedicated to transforming commercial strategies within the hospitality sector. Our state-of-the-art commercial platform simplifies complex data, providing businesses with actionable insights, advanced pricing tools, and innovative business intelligence to maximize their revenue potential.With a robust backing of $370 million in Series C funding and a relentless drive for growth, we have integrated five companies into our journey, achieving over $100 million in Annual Recurring Revenue (ARR) in 2024. Our diverse team of over 850 members spans 35 countries and includes 34 nationalities.At Lighthouse, we foster a vibrant community. Our collaborative and enjoyable work environment is deeply committed to revolutionizing the hospitality industry. Are you prepared to embark on this exciting journey with us? What you will doAs a Data Engineer within our newly formed Data Products team, you will be pivotal in enhancing the quality and business value of our essential data assets. You will take a hands-on approach in designing, constructing, and maintaining data pipelines that support various teams across Lighthouse. Acting as a liaison between our data resources and the business, you will collaborate with stakeholders to ensure that our data effectively serves its consumers.Where you will have an impactBecome the authority on key data products, comprehensively understanding the entire data lifecycle, quality standards, and business applications.Design, implement, and sustain both streaming and batch data pipelines that empower our products and internal analytics.Work closely with data consumers to comprehend their requirements and deliver effective data solutions.Enhance data quality, latency, and reliability.Adopt a product engineering mindset, concentrating on delivering significant value and tackling business challenges through data.Be at the forefront of our AI evolution, integrating intelligence into our platform and advocating for an AI-first development culture within the engineering team.Mentor fellow engineers, sharing your expertise and aiding in their professional growth.About our teamThe Data Products Team serves as the definitive source of truth for Lighthouse's data, forming the foundational layer of our entire data ecosystem.Our primary mission is to model and deliver high-quality, foundational data products that are essential components for all downstream product features, machine learning models, and data science initiatives.

Join Delivery Hero as a Senior Product Data Scientist in Barcelona, where you will play a pivotal role in shaping our data-driven product strategies. Collaborate with cross-functional teams to analyze complex datasets and derive actionable insights that enhance user experience and drive business growth.

About Docplanner Group Docplanner Group connects millions of patients with healthcare professionals worldwide. As the largest healthcare platform globally, Docplanner supports 24 million patients and 280,000 doctors across 13 countries. Brands include ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda. The company offers marketplaces, SaaS products, and AI tools that help healthcare providers focus on patient care by streamlining their operations. Learn more at pro.doctoralia.es. Why Join Docplanner? Contribute to work that helps doctors deliver better care to patients. Join a team of over 3,000 people who value agility and quick decision-making. Play a key role in the company’s ongoing growth and future direction. Role Overview: Senior Marketing Data Analyst Based in Barcelona, the Senior Marketing Data Analyst will develop advanced marketing analytics to support data-driven decisions. This role works closely with data engineers, product data, and business intelligence teams to build a strong data infrastructure that brings together marketing and business data within company systems and BI tools. The aim: free up analysts and marketers to focus on insights and actions, not data wrangling. The role also champions efficient methods for marketing data analysis. What You Will Do Identify and solve recurring issues in data structures, creating stable and scalable data products. Lead efforts to analyze and resolve data quality problems, and set up governance frameworks. Work with marketing stakeholders to understand their goals and design data solutions that fit those needs. Provide guidance on complex challenges that require a data science approach. Build scalable dashboards to visualize marketing KPIs, budget use, and ROI analysis. Generate actionable insights that improve marketing effectiveness.

Join dLocal as a Senior DataOps Engineer and play a pivotal role in shaping our data infrastructure. You will design and enhance scalable solutions on Kubernetes, manage Databricks as our primary data platform, and ensure data governance and reliability at an enterprise scale. Your efforts will guarantee that our data assets are clean, observable, and accessible, enabling our global team to make impactful decisions.

Join Cabify as a Senior Data Scientist in our Marketing Analysis team, where you'll leverage data to drive impactful marketing strategies. You will play a pivotal role in analyzing complex datasets, developing predictive models, and generating actionable insights that enhance our customer engagement and brand presence.Your expertise in statistical analysis and machine learning will be essential in optimizing our marketing campaigns and improving our overall performance. Collaborate with cross-functional teams to translate data findings into strategic recommendations, ensuring Cabify remains a leader in the mobility sector.

About the RoleAt SumUp, our mission is to empower small businesses globally by supplying an extensive array of simple, affordable business tools designed to help them start, manage, and expand their operations. The lending division at SumUp is a well-established entity with a solid foundation in credit risk management. Our core models and decision-making frameworks are robust and operational; as our portfolio expands, we face the challenge of safely deriving incremental gains from a complex environment where minor changes carry significant implications. As a Senior Data Scientist, you will be actively involved in daily lending decisions, enhancing our capacity to improve existing processes, mitigate operational risks, and ensure sustainable reliability as we venture into new markets. You will collaborate within the Credit Risk Analytics (CRA) team, a streamlined group dedicated to the modeling and analytics that support our global lending portfolio.

Role Overview miratech1 is hiring a Data Engineer with hands-on experience in Azure Databricks for the València office. This position focuses on building and supporting data pipelines that keep analytics and reporting running smoothly. What You Will Do Design and develop scalable data pipelines using Azure Databricks Maintain and optimize data workflows to ensure data is available and reliable Support analytics and reporting needs across the organization About the Team Join a group that values practical solutions and collaboration. New ideas and a strong interest in data engineering are welcome here.

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

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.

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.

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.

Join our dynamic team at Devoteam as an Azure Data Engineer! In this role, you'll leverage your expertise in Azure technologies to build and optimize data solutions that drive business value. Collaborate with cross-functional teams to understand data requirements and implement innovative solutions. If you have a passion for data engineering and are fluent in English, we want to hear from you!

Join Scopely as a Senior Data Scientist within our Monopoly GO! game team, based in the vibrant city of Barcelona. This role offers the flexibility of hybrid work arrangements or the option to work remotely from Spain or Portugal. At Scopely, we are passionate about what we do and strive to inspire play every day. Our global team of gaming enthusiasts is dedicated to developing, publishing, and innovating within the mobile gaming industry, connecting millions of players worldwide. Monopoly GO! is not just a game; it's a global phenomenon and a flagship franchise that has established itself as Scopely’s largest title, enjoyed by millions of players. Our team, spread across EMEA and the US, is committed to crafting captivating new experiences. We seek a rare blend of technical expertise and product insight to bridge the gap between complex data and player engagement.