Analytics Engineer - OpenData EMEA (Remote)

Veeva Systems is a purpose-driven innovator in the industry cloud sector, dedicated to accelerating the delivery of therapies to patients within the life sciences field. As one of the fastest-growing SaaS companies globally, we achieved over $3 billion in revenue last fiscal year and are poised for significant future growth. Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our actions. We are not just any public company; in 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we empower you with the flexibility to work from home or in the office, allowing you to thrive in your preferred environment. Join us in transforming the life sciences industry, as we strive to make a positive impact on our customers, employees, and communities.The Role As part of Veeva OpenData Commercial, you will provide healthcare reference data on a global scale, supporting commercial sales execution, compliance, and business analytics. Within our Engineering team, you will spearhead meaningful changes, delivering essential tools to establish a global data core for the life sciences sector across more than 100 countries. This position is ideal for a software engineer who is eager to learn, innovate, and tackle complex challenges. If you have a passion for technology, you will find a welcoming home in our team. We cultivate a world-class engineering culture grounded in integrity and an unwavering commitment to our customers—we believe in always doing the right thing.

Veeva Systems Inc. supports life sciences companies as they bring therapies to patients. With more than $3 billion in revenue last fiscal year, Veeva continues to grow as a leader in industry cloud solutions for this sector. Veeva operates under four core values: Do the Right Thing, Customer Success, Employee Success, and Speed. Since 2021, Veeva has also been a public benefit corporation (PBC), balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, Veeva offers flexibility to work from home or the office. The team is committed to making a positive impact in the life sciences industry, supporting customers, employees, and communities. Learn more about the mission here. Role Overview The OpenData Europe team aims to become the global leader in reference data for life sciences. Major pharmaceutical and biotech companies depend on Veeva’s data products as a foundation for their commercial and medical activities. The work directly supports faster delivery of treatments to patients. This Data Lead role is fully remote and open to candidates based in Germany (Berlin), the UK, or Spain. Some travel (up to 10%) is expected. What You Will Do Develop and manage data pipelines for OpenData Europe products Shape product strategy and influence the roadmap Spot emerging market opportunities for data products Lead cross-functional execution from concept through delivery Who We’re Looking For Experienced data professional with a strong technical background in data analytics or engineering Interest in moving beyond routine data requests to influence product direction Comfortable working with autonomy and ownership in a remote setting Based in Germany (Berlin), UK, or Spain and able to travel up to 10%

At Veeva Systems, we are dedicated to transforming the life sciences industry through innovative cloud solutions. Our mission is to expedite the delivery of therapies to patients, and we have established ourselves as a leader in the SaaS space, achieving over $3B in revenue last fiscal year with substantial growth potential ahead. Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally obligated to balance the interests of our customers, employees, society, and investors. We embrace flexibility as a Work Anywhere company, allowing you to choose between remote work or office-based opportunities, fostering an environment where you can thrive. Join us in revolutionizing the life sciences sector, dedicated to positively impacting our customers, employees, and communities.The Role Are you eager to create meaningful products in a greenfield setting? We aim to develop a data stewardship platform that streamlines OpenData's data curation processes, facilitating collaboration among Product Managers and over 1,000 global data stewards to enhance data coverage and quality. As a Full-Stack Software Engineer, you will work alongside a talented team of engineers to transform ideas into deployable features. You will thrive in an agile environment, making a direct impact on users within a rapidly growing, leading life sciences company.

Location: Remote within Germany, Berlin (also open to UK or Spain). Some travel required (up to 10%). About Veeva Systems Veeva Systems builds industry cloud solutions for life sciences, helping companies deliver therapies to patients faster. With over $3 billion in revenue last fiscal year, Veeva is one of the fastest-growing SaaS businesses in history. The company operates as a public benefit corporation, balancing the interests of customers, employees, society, and investors. Veeva’s core values include Integrity, Customer Success, Employee Success, and Agility. The company supports flexible work arrangements through its Work Anywhere policy, so employees can choose to work from home or in the office. Role Overview: Data Product Manager - OpenData Europe Veeva OpenData aims to lead the global market in reference data for the life sciences industry. Top pharmaceutical and biotech companies depend on this data to power their commercial and medical operations. The data products developed here help speed up the delivery of life-saving treatments. This position sits within the OpenData Europe team and focuses on building and evolving data products for the region. The role is fully remote (within Germany, UK, or Spain), with about 10% travel expected. What You Will Do Define and drive the product roadmap for OpenData Europe Shape product strategy and identify new market opportunities Lead cross-functional teams from concept through launch Move beyond reactive data requests to proactive product leadership Ensure data products support the needs of pharmaceutical and biotech customers Who We’re Looking For Technical background in data analytics or data engineering Experience managing data pipelines or data products Interest in taking ownership of product direction and execution Comfort working with autonomy and accountability Learn more about Veeva’s impact in life sciences: Watch here.

Location: Berlin, Germany (Remote within UK, Germany, or Spain) Travel: Approximately 10% About Veeva Systems Veeva Systems builds industry cloud solutions for the life sciences sector, supporting the delivery of therapies to patients worldwide. The company reached over $3 billion in revenue last year and continues to grow. In 2021, Veeva became a Public Benefit Corporation, committed to balancing the interests of customers, employees, society, and investors. Core values include integrity, customer success, employee success, and speed. Veeva’s Work Anywhere initiative supports flexible arrangements, whether at home or in the office. Role Overview: Data Product Manager – OpenData MENA Veeva OpenData provides reference data that underpins commercial and medical operations at leading pharmaceutical and biotech companies. The Data Product Manager will shape data products that help accelerate the delivery of life-saving treatments across the Middle East and North Africa (MENA). This fully remote role is open to candidates based in the UK, Germany, or Spain. Occasional travel (about 10%) is expected. What You Will Do Own the product roadmap for OpenData in the MENA region, covering 12 countries Drive product strategy and identify new market opportunities Lead cross-functional initiatives from concept through execution Oversee data pipelines and ensure data quality and availability Who We’re Looking For Bilingual in English and Arabic Strong technical background in data analytics or data engineering Experience managing or building data products Interest in taking ownership of product direction, not just handling data requests Why Join Veeva? Work at a mission-driven company impacting life sciences globally Flexible work arrangements through Work Anywhere Opportunity to shape products that support commercial and medical operations in a vital industry Be part of a Public Benefit Corporation balancing purpose and profit Learn more about Veeva’s mission to transform the life sciences industry.

Veeva Systems is a mission-driven organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities ahead.Our core values define us: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.At Veeva, we embrace a Work Anywhere philosophy, allowing you the flexibility to work from home or in the office, ensuring that you can thrive in your preferred environment.Join us in transforming the life sciences industry, with a commitment to making a meaningful impact on our customers, employees, and communities.The RoleAs the Data Extraction Manager for Veeva OpenData Commercial, you will lead a dynamic team of 6-8 data analysts focused on extracting and processing website data. Your team will utilize our proprietary toolchain to configure crawlers for data extraction, which will subsequently be processed using Python scripts on our data platform. This position plays a crucial role in ensuring data freshness and availability for our customers, directly contributing to their success. In addition to managing crawlers, your team will also engage in classic analytical tasks such as generating ad-hoc reports and visualizations.

SumUp is looking for a Senior Analytics Engineer to join the Risk Analytics Team in Berlin. This team sits within the Risk & Compliance Tribe and focuses on regulatory reporting, fraud detection, chargeback management, and compliance analytics across European jurisdictions. The Risk Analytics Team works at the intersection of data, regulation, and business operations. Team members collaborate with Data Scientists, Data Engineers, and backend engineers to deliver accurate and scalable data solutions that support SumUp’s regulatory and business needs. In this role, the Senior Analytics Engineer will help shape the technical direction of the team. The position involves building and maintaining data frameworks that support regulatory compliance, automating data pipelines, and ensuring the delivery of high-quality data products for decision-making within the Risk & Compliance Tribe. What you will do Design and maintain complex data models to track merchant activities and support timely, accurate regulatory reporting. Enhance and manage data pipelines for regulatory report submissions across European entities, focusing on compliance, reliability, and reducing manual work. Develop and implement data validation strategies required by regulators to ensure high-quality reporting. Apply dbt best practices, maintain the dbt project, and enforce coding guidelines and style validations. Work closely with Data Engineers, Data Scientists, Software Engineers, and backend engineers to integrate their work into robust data pipelines. Monitor and manage computing costs, identifying ways to improve cost-efficiency in the domain. Extract pipeline metrics and build dashboards for clear team-wide monitoring. Support a strong data infrastructure using tools such as Git, Argo Workflows, dbt, and Snowflake, enabling self-service analytics for Data Analysts and stakeholders.

At Upbound, we are at the forefront of transforming how modern infrastructure is constructed for the Agentic AI Era. As the creators and primary maintainers of Crossplane, we are developing the Intelligent Control Plane—a pioneering platform layer that enables infrastructure to be programmable, autonomous, and composable.Our mission is to empower the AI-native enterprise with a foundational platform layer that equips teams to provision, operate, and adapt infrastructure at scale—ensuring that platforms are optimized for both human and AI agents. We collaborate with leading cloud providers, ISVs, and open-source communities to accelerate organizational agility with increased confidence.Currently, Upbound assists Fortune 500 companies and platform engineers across 100+ countries. Our Crossplane technology has achieved over 100 million downloads and is utilized by more than 1,000 teams globally. As a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, we have successfully raised $69 million to date. Discover more at upbound.io.We are seeking a Strategic Account Executive based in the EMEA region to lead enterprise sales for our rapidly expanding cloud infrastructure platform. In this capacity, you will oversee the complete sales cycle with enterprise clients, collaborating closely with solutions engineering, product, and marketing teams to facilitate organizations in modernizing their cloud platform architecture using Upbound’s control plane technology.

Join our dynamic team at Pergolux as a Senior Analytics Engineer, where you will play a pivotal role in shaping the analytics landscape of our Finance & Operations sector. In this position, you will leverage your extensive analytical skills to drive data-driven decisions, optimizing our processes and enhancing operational efficiency.Your expertise will be critical in collaborating with cross-functional teams to develop robust analytics solutions, ensuring the seamless integration of data insights into our business strategies. If you are passionate about data and analytics and are ready to take on challenges in a global environment, we invite you to apply!

Join almedia as an Analytics Engineer and become a vital part of our innovative team in Berlin. We are seeking a passionate individual who thrives on data-driven insights and is eager to leverage analytics to enhance our business strategies. In this role, you will analyze data from various sources, develop reports, and provide actionable insights to drive business performance.

UNLOCK YOUR CAREER POTENTIAL As Europe's largest savings platform, Trade Republic is on a mission to revolutionize financial access across 17 countries, proudly serving over 8 million customers and managing assets exceeding €100 billion. We are driven by the desire to empower individuals to accumulate wealth through seamless, secure, and cost-free access to financial services. Join us in shaping a positive financial future for millions, and take your career to new heights by collaborating with a team of exceptional talents and cutting-edge technology. YOUR ROLE AND RESPONSIBILITIES As an Analytics Engineer, you will play a crucial role within our product delivery team, focusing on data ingestion, modeling, and dissemination to drive business growth. Your key responsibilities will include: Collaborating with product and business stakeholders to define impactful product metrics. Creating analytical products such as data models, dashboards, and reports to facilitate self-service reporting and analysis. Enhancing our evolving cloud-based architecture to prioritize cost efficiency and performance, while implementing best practices in software engineering. Owning projects from initial scoping through to delivery and adoption, working independently. WHAT WE SEEK IN YOU A minimum of 5 years of engineering experience with a strong analytical mindset. Comprehensive understanding of architectural design principles and engineering best practices. Experience with all stages of the data lifecycle: ingestion, transformation, and mart creation. Familiarity with our technology stack is a plus: S3, Snowflake, Airflow, Python, DBT. WHY JOIN US NOW We foster a culture of ownership, excellence, and energy. Our commitment to outcomes and accountability drives us to tackle one of Europe’s biggest challenges: closing the pension gap and democratizing wealth. If this mission resonates with you, we encourage you to reach out!

Join justplay GmbH as an Analytics Engineer and be at the forefront of driving data-driven decision-making within our organization. In this hybrid role based in Berlin, you'll collaborate with cross-functional teams to develop robust analytics solutions that empower our business to thrive in a competitive landscape.

scalablegmbh is looking for a Senior Analytics Engineer to join the team in Berlin. This position centers on building and refining data models that help unlock valuable insights for the business. Role overview The Senior Analytics Engineer works closely with colleagues from different departments to shape data-driven solutions. The job involves developing scalable data models, improving query performance, and ensuring that analytics efforts support key business goals. What you will do Collaborate with cross-functional teams to understand data needs Design and maintain scalable data models Optimize queries for efficiency and reliability Translate data into clear, actionable insights for decision-making Location This role is based in Berlin.

Location: EMEA (Remote). Offices in Amsterdam, Berlin, Brussels, and Stockholm. About Unframe Unframe builds AI-driven products for enterprises, helping organizations launch LLM-powered applications in days, not months. Our platform is LLM-agnostic, integrates with any data source, and delivers custom AI solutions using a Blueprint-led approach, no fine-tuning or data sharing required. Pricing is based on value delivered. Backed by $50M in Series A funding from Bessemer, Craft, and TLV Partners, Unframe operates with the momentum of a seasoned founder and a clear vision: accelerate the future of AI infrastructure for real business impact. More about us: www.unframe.ai Role Overview: Channel Manager - EMEA The Channel Manager will shape and expand Unframe’s partner network across the EMEA region. This role focuses on building relationships with value-added resellers (VARs), global system integrators (GSIs), managed service providers (MSPs), and technology partners. The goal: drive sourced and influenced revenue, and ensure partners are ready to position and sell Unframe’s solutions effectively. Collaboration is key. The Channel Manager works closely with Sales, Marketing, Product, and Customer Success to create a partner engagement model that scales. Main Responsibilities Partner Strategy & Recruitment Design and execute the channel strategy in line with revenue goals. Identify, recruit, and onboard high-value channel partners. Develop joint business plans with key partners. Establish clear partner segmentation and coverage plans. Enablement & Activation Build and deliver partner enablement programs, including sales training, technical onboarding, and certifications. Equip partners with effective positioning, messaging, and competitive differentiation. Support partners in pipeline generation and deal execution. Lead joint marketing campaigns and co-selling initiatives. Revenue & Performance Management Oversee partner-sourced and partner-influenced revenue targets. Forecast channel pipeline and performance metrics. Set KPIs and reporting dashboards to monitor results.

Distribusion connects travelers with ground transportation options worldwide. Our B2B platform brings together bus, rail, and ferry operators from more than 70 countries, making their services available through major online retailers such as Google Maps and Booking.com. Backed by TQ Ventures, Creandum, Northzone, and Lightrock, Distribusion recently secured $80 million in Series C funding. After a year of 10x growth, we are expanding our reach as one of the fastest-growing startups in travel technology. Role Overview We are hiring an Analytics Engineer to join our Data team in Berlin. This role focuses on solving complex data challenges and delivering solutions that quickly impact millions of users. The work spans the full analytics lifecycle, from building data pipelines to creating reports and dashboards that drive decisions for both internal and external stakeholders. What You Will Do Build new Looker dashboards from scratch, often within tight deadlines such as a single day. Develop deep knowledge of our data lake, including where data resides, its sources, and how it is processed. Recommend improvements to the Data Platform’s reporting to streamline and speed up report creation. Quickly understand project requirements, spot what matters, and identify missing information to keep work on track. Validate outputs thoroughly, maintaining high accuracy and attention to detail. Think ahead to anticipate challenges and consider the long-term effects of decisions. Work independently, using resources like Google and AI tools (such as Gemini and ChatGPT) to troubleshoot and test before seeking help. Location This position is based in Germany, with a preference for candidates who can work from our Berlin headquarters.

Intercom is a pioneering AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands as the premier customer service AI solution available, enabling businesses to provide round-the-clock, flawless customer support while significantly enhancing overall customer satisfaction. When integrated with our Helpdesk, it forms a comprehensive solution known as the Intercom Customer Service Suite, which offers AI-driven assistance for more intricate or high-touch inquiries requiring human interaction.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the benchmarks for customer service. By adhering to our core values, we continuously challenge conventions, build with agility and urgency, and consistently deliver exceptional value to our clients.What is the opportunity?The AI Group at Intercom is tasked with defining innovative machine learning features, researching suitable algorithms and technologies, and quickly deploying prototypes for our customers.We are highly product-oriented. Our team, consisting of over 50 ML scientists, engineers, designers, and researchers, collaborates closely with various departments across the organization. We prioritize rapid production cycles, often transitioning to beta testing within weeks following successful offline evaluations.We continually conduct experiments and measure the effectiveness of our AI features, employing both frequentist and Bayesian methodologies, creating dashboards for result tracking, and delving deeply into user interactions to understand success metrics amidst the complexities of stochastic AI products.We are seeking a passionate Analytics Engineer to join our AI Group and contribute to our ongoing efforts.What will I be doing?Data Platform Development: Design, develop, and oversee scalable data pipelines and ETL processes to establish a robust, analytics-ready data infrastructure.Cross-functional Collaboration: Collaborate with AI analysts, ML scientists, engineers, and business teams to comprehend data requirements and ensure the delivery of accurate, reliable, and user-friendly data solutions.Data Strategy & Governance: Drive initiatives in data modeling, ownership of data quality, management of warehouses, and production support for key operational workflows.Advanced Analytics & Insights: Perform data analysis and develop custom models to inform strategic business decisions and measure performance.Automation & Optimization: Enhance the efficiency of data collection and reporting processes.

Join Veeva Systems, a trailblazer in cloud technology for the life sciences sector, dedicated to delivering therapies to patients swiftly. With an impressive growth trajectory, we surpassed $2 billion in revenue last fiscal year and are poised for even more expansion.Our core values drive us: Integrity, Customer Success, Employee Success, and Agility. In 2021, we made headlines by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we empower you to work from home or in the office, ensuring you thrive in your preferred environment.Become part of our mission to revolutionize the life sciences industry, positively impacting our customers, employees, and communities.Role OverviewOpenData Clinical lays the groundwork for advanced clinical operations.The primary obstacle in clinical trials is patient recruitment. Delays in this process can hinder studies and prolong the delivery of life-saving treatments. Our mission is to expedite this critical process.By pinpointing the most effective clinical sites, we facilitate faster drug market entry, with the potential to save at least one life annually by enhancing clinical operations.In this role, you will create the backbone of our data quality engine and pipelines. Your contributions will enable countless curators to manage vast datasets swiftly and accurately, ensuring the life sciences industry possesses the high-quality data essential for speeding up clinical trials and drug development.This position is ideal for an engineer who prioritizes architectural integrity over quick fixes. You will thrive in an engineering-centric culture that values technical excellence and offers genuine autonomy for innovation.

Distribusion Technologies connects travelers with ground transportation options worldwide. Our B2B technology platform links bus, rail, and ferry operators in over 70 countries to major online retailers, including Google Maps and Booking.com. With recent Series C funding of $80 million and support from investors like TQ Ventures, Creandum, Northzone, and Lightrock, we continue to grow rapidly in the travel sector. Role Overview The Analytics Engineer will join the Data team in Berlin, playing a key part in shaping data-driven growth. This position focuses on building analytical reports, developing and improving data pipelines, and delivering insights that drive decisions for both internal and external stakeholders. The work impacts millions of users, often within days or hours of release. What You Will Do Build new Looker dashboards from scratch, often under tight deadlines. Develop a deep understanding of the data lake, including data sources, locations, and processing flows. Recommend and advocate for improvements in reporting to make reports clearer and faster to generate. Quickly grasp project goals and identify any missing information needed to move forward. Validate outputs thoroughly, maintaining high attention to detail and data accuracy. Consider long-term impacts of decisions to anticipate future data challenges. Work independently, using resources like Google and AI tools (such as Gemini or ChatGPT) to solve problems and experiment before seeking help. Work Environment This position is primarily based in Germany, with a preference for working onsite at our headquarters in Berlin.

Join the Entyre Group and make a difference in health tech!As part of the rapidly growing Entyre Group, Pflegewegweiser is leading the way in the Swiss healthcare market. With offices in Zurich, Berlin, and Boston, and a dedicated team of over 500 employees, we are revolutionizing outpatient care through technology, making it faster, more effective, and more accessible.We believe in empowering individuals to live dignified and self-determined lives at home, even when they require care. Family caregivers play a crucial role and deserve our utmost support, professional guidance, and sincere appreciation.About the RoleWe are seeking a Marketing Analytics Engineer to take charge of and enhance our marketing data infrastructure. This pivotal role sits at the crossroads of data engineering, analytics, and marketing, providing substantial impact and ownership.Your responsibilities will include designing and developing data pipelines that transfer data from our source systems to our data warehouse, transforming it into reliable, analysis-ready models, and ensuring it is easily accessible through dashboards and automated workflows that our marketing team utilizes daily.This is not your conventional data engineering position. You will leverage deep technical expertise along with a robust understanding of marketing to establish a self-service data layer. This will empower the team to measure outcomes, conduct experiments, forecast accurately, and optimize campaign performance.Additionally, you will explore innovative applications of AI to enhance analytics workflows, improve data accessibility, and create smarter, more proactive decision-making tools.Your Responsibilities:Own and enhance the complete marketing data stack: Fivetran or custom ELT pipelines → BigQuery → Dataform transformations → Sigma reporting.