Welcome to Fever! As the world's premier technology platform for culture and live entertainment, we are on a mission to make cultural experiences accessible to everyone. Our innovative technology and data-centric approach are transforming the way individuals engage with live entertainment. Each month, our platform captivates over 300 million users across more than 40 countries, enabling them to discover remarkable events while empowering creators with the insights and technology they need to innovate and expand their reach. Our achievements include collaborations with industry titans such as Netflix, F.C. Barcelona, and Primavera Sound, along with several prestigious awards and support from top global investors! Exciting, isn't it? To continue our journey, we are seeking passionate individuals with a proactive mindset ready to help us redefine the future of entertainment!Now, let’s dive into the specifics of this role and how you can contribute to Fever's mission.About the RoleAt Fever, we are constructing a federated data organization that balances centralization where it matters and autonomy that drives value. Our teams utilize advanced data platforms like Snowflake, DBT, Airflow, DataHub, and Metabase. Moreover, we are developing proprietary technologies to deliver high-quality data products across diverse business sectors.As a Senior Analytics Engineer, you will serve as a crucial link between data engineering and business analytics, enabling our stakeholders to make informed decisions based on reliable, well-structured, and easily accessible datasets.What You’ll DoDesign, build, and maintain robust data models (DBT, SQL) that convert raw data into clean, trustworthy datasets for self-service and reporting.Collaborate with the data engineering team to define and validate business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).Engage with business squads (B2B, Marketing, CRM, Product) to identify their requirements and transform them into reusable data assets.Ensure data quality and consistency by working closely with the data engineering team on testing frameworks, observability, and governance.Enable self-service analytics by empowering stakeholders to access and analyze data independently.

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 the Team at dLocal!At dLocal, we empower some of the largest global enterprises to seamlessly collect payments across 40 emerging markets. Our innovative solutions help renowned brands enhance conversion rates and ease the complexities of payment expansion. Serving as both a payment processor and a merchant of record, we facilitate our merchants' growth in the world’s most rapidly evolving markets.By joining dLocal, you will become part of a dynamic and diverse global team, collaborating with over 1000 teammates from more than 30 nationalities. Your role here will have a significant impact on millions of people's daily lives. We are a team of builders who embrace challenges and prioritize customer satisfaction. If you resonate with our values, we believe you will thrive in our environment.

At Groupon, we're not just a marketplace; we are a vibrant ecosystem where consumers discover exciting experiences and local businesses flourish. Having partnered with over a million merchants globally, we connect more than 16 million customers to exceptional deals across diverse categories. In an era largely influenced by e-commerce giants, Groupon distinctly positions itself as a platform dedicated to empowering local businesses through performance-driven initiatives.We're embarking on a transformative journey to revolutionize our operations, fueled by an unwavering commitment to results. Despite our extensive workforce spanning multiple continents, we cultivate a culture that promotes innovation, encourages calculated risk-taking, and celebrates success. Here, your impact can be immediate and significant, as we balance the resources and scale of a large organization with the autonomy of a smaller company.Design the "Source of Truth" for a Global MarketplaceAt Groupon, data is central to our mission. We are seeking a Senior Analytics Engineer to connect raw data infrastructure with actionable business insights. Your role will extend beyond writing queries; you will be responsible for architecting the semantic layer of our data warehouse, ensuring every dashboard, AI model, and executive decision is built on a robust foundation of trust.This position is a high-impact Individual Contributor role for someone who is passionate about SQL, data modeling, and solving intricate problems at a global scale.Embrace the AI Advantage At Groupon, we don’t just analyze AI; we actively build with it. You will engage in innovative projects that leverage AI to enhance our business processes and customer experiences.

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

Scopely is looking for a Director of Data (Analytics Engineering) to set the direction for data strategy and hands-on execution across its gaming portfolio. This position leads a team of data engineers and analysts, with a focus on building analytics solutions that support both game development and marketing efforts. Key responsibilities Guide and mentor the analytics engineering team, encouraging skill development and strong collaboration. Direct the design and rollout of analytics systems that provide actionable insights for product and marketing teams. Partner with stakeholders to ensure data-driven decisions drive player engagement and business outcomes. Locations Spain United Kingdom Ireland Portugal

Scopely is on the lookout for a driven and passionate Senior Analytics Engineer to become a vital member of our Playgami team, based in Barcelona with a hybrid work arrangement! At Scopely, we believe in the power of play and strive to foster an inspiring environment—whether collaborating with our talented colleagues or engaging with our vibrant communities of players. Our global team of gaming enthusiasts is dedicated to developing, publishing, and innovating within the mobile games industry, making connections with millions of players across the globe every day. The Playgami team is committed to creating the ultimate SaaS gaming platform! We aim to deliver exceptional products for game production, operation, and analytics, powering numerous award-winning franchises enjoyed by millions across mobile, web, and PC platforms. What You’ll Do Lead collaborative efforts with engineers, product teams, and analysts to craft self-service insight products that are responsive, accurate, and scalable to petabyte levels.Manage the entire data product lifecycle, including designing innovative tracking plans, developing robust data models, ELT pipelines, and self-service analytics solutions such as Looker explores and dashboards.Ensure the integrity of data quality by maintaining consistent metric reporting across diverse data products.Leverage state-of-the-art technologies, including BigQuery, dbt, and Looker.Provide technical guidance and support to game product teams and departments, enhancing their operational efficiency and product success.Bring specialized knowledge of a specific segment of the data stack while also contributing across various aspects.Mentor fellow team members and promote the adoption of best practices within the team.What We’re Looking For A strong enthusiasm for tackling complex analytical challenges.Demonstrated ability to translate business requirements into advanced analytical solutions.In-depth knowledge of the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows).Exceptional SQL expertise with a minimum of 5 years in data analytics or engineering roles.Solid grasp of data modeling principles (e.g., Kimball methodology, star schemas).A high regard for business context coupled with a commitment to achieving technical excellence.A collaborative mindset and pride in contributing to a team-oriented environment.

Join Our Innovative Team at ConstructorConstructor is revolutionizing search and discovery in ecommerce with our next-generation platform designed to optimize key performance metrics such as revenue, conversion rates, and profitability. Our proprietary search engine, developed entirely in-house, leverages cutting-edge transformers and generative LLMs to enhance everything from search functionality to personalized recommendations and shopping agents.Our engineering department, the largest in our company, is dedicated to maintaining the superiority of our engine, which consistently outperforms competitors in A/B testing. We are passionate about pushing the boundaries of AI technology to achieve remarkable results.With the capability to handle more than 1 billion queries daily in 150 languages across approximately 100 countries, our engine is trusted by leading ecommerce brands like Sephora, Under Armour, and Petco.At Constructor, we are a team of problem solvers committed to enhancing the experiences of both our customers and colleagues. We prioritize values such as empathy, transparency, curiosity, and continuous improvement, believing that empowering individuals leads to outstanding achievements.Founded in 2019 by Eli Finkelshteyn and Dan McCormick, Constructor continues to thrive as a U.S.-based company.About the RoleWe are looking for a Senior Data Engineer to join our Data Lake Team, a crucial part of the Constructor Data Platform that supports all internal data and machine learning teams. This role involves managing the ingestion of over 2 TB of compressed events daily and overseeing more than 6 PB of data in our data lake.The Data Platform Includes:A comprehensive suite of tools and infrastructure utilized daily by our data scientists and ML engineers.Public-facing APIs for event ingestion (FastAPI) and real-time analytics (ClickHouse, Cube).Data storage management in formats such as S3, ClickHouse, and Delta.Data processing capabilities using technologies like Python, Spark/Databricks, ClickHouse, AWS Lambda, and Kinesis.Robust monitoring solutions (Prometheus, OpenTelemetry, PagerDuty, Sentry).Automated testing for pipelines and data quality assurance.Cost observability and optimization functionalities.Tools for developers for creating, running, testing, and scheduling data pipelines, complemented by comprehensive support and documentation.Your Responsibilities Will Include:Maintaining and enhancing our data pipeline job framework.Developing a Data Quality framework for validating internal and external data sources.Continuously improving our data processing and storage capabilities.

About Voicemod At Voicemod, we empower individuals to enhance their voice in every interaction, promoting self-expression and a sense of belonging. Our innovative audio solutions enable gamers, streamers, and content creators to define their online personas through voice modulation, soundboards, and real-time effects. Each day, millions engage with Voicemod to elevate their communication and enjoyment.Our dynamic team of over 90 professionals works remotely or from our headquarters in Valencia and our collaborative workspace in Barcelona. We are deeply committed to redefining the audio landscape and developing products that make digital environments more engaging and fun. If you resonate with our mission, we would be excited to connect with you!Our Core Values At Voicemod, our values are integral to our daily operations: Courage to Innovate – Innovation stems from bravery. Accountability and Ownership – Make an impact through ownership. Passion for Play – Success is fueled by passion. Collaborative Growth – Achieve more by growing together.Role Overview We are on the lookout for an Analytics Engineer to elevate our data platform and empower every team member at Voicemod to make data-driven decisions.This position is available for both mid and senior levels; we will adjust the title and scope according to your expertise. We welcome applications from those earlier in their careers who possess a builder mindset and a genuine eagerness to develop.Your Responsibilities Engage with engineers, product teams, and analysts to create data products that are accurate and insightful.Manage the entire data product lifecycle, from designing tracking plans to developing data models, ELT pipelines, and self-serve data offerings.Establish and uphold an AI-driven semantic layer that enables business users to interact with data using natural language via AI tools.Explore innovative methods to incorporate AI into the data lifecycle.Act as the data steward, ensuring data integrity and consistency in metrics.

Join Flywire as a Senior Data Engineer I and play a pivotal role in our Data & Analytics department. You will be responsible for designing, building, and maintaining scalable data pipelines that enhance our analytics capabilities. Your expertise will contribute to optimizing our data architecture and ensuring data quality across multiple platforms.

About UsAt Perk, formerly known as TravelPerk, we are revolutionizing travel and spend management through our intelligent platform. Our innovative tools automate tedious tasks such as travel bookings, expense management, and invoice processing, allowing organizations to focus on what truly matters. With a mission to eliminate shadow work that drains productivity and stifles creativity, we empower businesses to achieve meaningful outcomes.Serving over 10,000 clients globally, including industry leaders like Wise, On Running, Breitling, and Fabletics, we address the staggering $1.7 trillion issue of lost productivity, which amounts to 7 hours per employee weekly. Established in 2015, Perk has expanded to a team of more than 1,800 professionals across 12 international offices, with headquarters located in London and Boston. Our commitment to combining innovation, control, and simplicity is reflected in our transformative approach to workplace dynamics.Driven by core values such as ownership, delivering exceptional experiences, and teamwork, we prioritize curiosity, purpose, and mindset to harness your full potential. Our talented team comprises leading experts from the travel and SaaS sectors, representing over 70 different countries. If you are eager to make a significant impact and influence how millions experience work, we invite you to join our team.Discover more about us at www.perk.com.

As a Senior Consultant in Data & Analytics at Turner Townsend, you will play a pivotal role in harnessing data to drive strategic decisions within the Energy and Natural Resources sector. Your expertise will help clients navigate complex challenges and enhance operational efficiency through insightful analytics. You will collaborate with multidisciplinary teams, providing innovative solutions that align with business objectives.

Join inetum2 as a Senior Data Analytics Technician with a focus on on-premise environments and data governance. In this role, you will leverage your expertise to drive data-driven decisions, ensuring the integrity and accessibility of critical information. Collaborate with cross-functional teams to implement analytics solutions that enhance performance and inform strategic initiatives.

Role Overview Airalo is looking for a Senior Analytics Manager to join its fully remote team in Spain. Airalo operates the world’s first and largest eSIM store, helping millions of travelers stay connected in over 200 countries and regions. As part of a growing Data team, this role focuses on turning raw data into insights that drive business decisions and shape company strategy. What You Will Do Lead and mentor a team of data analysts (currently 4, expanding to 7 this year). Guide analysts in delivering high-quality analyses and actionable insights. Collaborate closely with business stakeholders to frame questions and define priorities. Influence product development, pricing strategies across 190+ countries, acquisition investments, and customer retention efforts. Oversee day-to-day operations of the analytics team, ensuring work translates into real business impact. Work alongside the Director of Data to execute the company’s data strategy. Partner with the Analytics Engineering Manager to enhance the analytics platform and reporting layer. Promote a self-service data culture and support data literacy initiatives across the organization. Contribute to the development of Airalo’s semantic data layer. About the Team The Data team at Airalo covers the full data lifecycle, from raw data to strategic insights. Team members collaborate across functions, solve complex problems, and build scalable tools and processes. The environment values ownership, autonomy, and experimentation, with a focus on delivering results that matter to the business. Benefits Remote work flexibility Generous paid time off Wellness and learning allowances Annual Airalo Away retreat More details available here

At Xenon7, we collaborate with premier enterprises and dynamic startups on groundbreaking projects that harness the latest technologies across various IT domains, such as Data, Web, Infrastructure, AI, and more. Our proficiency in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global corporations or partnering with trailblazing startups, we are dedicated to delivering advanced and impactful solutions that address today's most complex challenges.Role OverviewWe are on the lookout for a talented Senior Data Engineer with extensive experience in Python, Databricks, Snowflake, and AWS to architect, develop, and implement advanced machine learning solutions. The ideal candidate will have a profound understanding of supply chain management, particularly in inventory management, and exhibit hands-on experience with machine learning algorithms such as time series forecasting, regression models, and neural networks.This role requires complete ownership from gathering business requirements to delivering solutions, along with strong communication and stakeholder management skills.Responsibilities Work closely with business stakeholders to gather and analyze requirements, ensuring alignment with project goals. Design and implement ML models tailored for supply chain and inventory management applications. Utilize Python, Databricks, and Snowflake for data preparation, modeling, and pipeline construction. Employ AWS services to build, deploy, and scale ML solutions within production environments. Use advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models. Facilitate discussions, present solutions, and take full ownership of the ML delivery process from start to finish. Continuously evaluate, monitor, and enhance model performance.

Join Our Expanding Data Team!Forget traditional titles — let’s call this role our Data Engineer Become a vital part of our global Data squad, where you will design bespoke solutions that impress our clients. We’re on the lookout for a dedicated Data Engineer with a robust technical foundation. Your challenge? To train, deploy, and implement innovative developments — and that's just the start.What’s in store for you: You'll engage with unique challenges in data-driven software alongside a diverse team of talented individuals. Explore avant-garde projects utilizing the latest technologies to stretch limits and create meaningful impact. Choose your work environment: whether from the comfort of home or collaborating in our offices, the choice is yours. AGILE methodologies are our standard — expect multidisciplinary teams and full ownership of your projects. Are you ready to embark on significant projects, surrounded by a like-minded team? Let’s make a difference together!

Rithum™ stands as the leading commerce network globally, revolutionizing collaboration among brands, suppliers, and retailers to create unparalleled e-commerce experiences. Our innovative platform empowers brands and retailers to drive growth, optimize operations across diverse channels, expand product lines, and improve profit margins.With over 40,000 businesses relying on Rithum to enhance their operations across a multitude of channels, we collectively facilitate more than $50 billion in annual GMV. Our comprehensive commerce, marketing, and delivery solutions allow clients to curate optimized consumer shopping journeys from start to finish.Position OverviewAs a Senior Data Engineer, you will play an integral role in the design, development, and maintenance of sophisticated data infrastructure that fuels advanced analytics. You are an adept data engineer skilled in ETL pipeline construction and dimensional modeling, eager to harness AI as a vital partner. Your expertise will ensure that AI is utilized effectively for the sustainable success of our business systems. You will be tasked with creating elaborate data pipelines from scratch, enhancing our database infrastructure to support advanced analytics, AI-driven insights, and automated data operations. Collaborating across various teams—including product, engineering, data science, and data analysis—you will enhance our cloud data architecture to meet the demands of both external clients and internal stakeholders.

Rithum™ is the leading global commerce network, revolutionizing the collaboration between brands, suppliers, and retailers to create seamless e-commerce experiences. Our unmatched platform empowers businesses to drive growth, streamline operations across multiple channels, expand product offerings, and improve profit margins. Currently, over 40,000 companies rely on Rithum to enhance their business across numerous channels, collectively representing more than $50 billion in annual Gross Merchandise Volume (GMV). By utilizing our comprehensive commerce, marketing, and delivery solutions, our clients are able to deliver optimized shopping experiences that engage consumers from start to finish.

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.