Backend Engineer – Data Marketplace

Transform the Travel ExperienceEmbark on an exciting journey with GetYourGuide, where we strive to connect travelers with unforgettable experiences worldwide. With millions relying on us for unique and trustworthy activities, we are dedicated to making every journey remarkable - including yours.Are you ready to unleash your potential within a community of fellow adventurers? Discover your next opportunity at our headquarters in Berlin or in one of our local offices across the globe, from New York to Bangkok. Visit getyourguide.careers to get started.Team MissionAs part of the Traveler Data Engineering team within the strategic Flywheel Data Engineering group, our mission is to establish robust data foundations and self-service capabilities for the traveler side of our marketplace. We ingest, integrate, and structure crucial internal and external datasets into reliable tables, metrics, and data products that enhance the customer experience throughout their journey. Collaboration with Product and Data teams is key to enabling faster and more confident decision-making.Your ResponsibilitiesIndependently Build End-to-End Data Solutions: Create reliable, high-quality datasets and pipelines that support traveler-related decision-making, including acquisition, conversion, engagement, and retention.Act as a Trusted Thought Partner: Collaborate closely with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-serve data capabilities.Deliver High Technical Craft: Implement best practices in code quality, data modeling, testing, and monitoring. Contribute to the operational support of your delivered solutions and enhance their reliability over time.Enhance Existing Production Systems: Proactively refactor and simplify existing pipelines/models, address data quality issues at their source, and implement targeted performance and cost improvements.Contribute to Team Outcomes: Engage in planning, roadmapping, code reviews, and knowledge sharing to boost team effectiveness.Maintain a Strong Operational Mindset: Balance operational duties with the development of new solutions, using team SLOs as guidance.

Transform the future of travel Join GetYourGuide on an exciting journey to connect travelers with unforgettable experiences worldwide. Our platform is trusted by millions seeking unique activities, and we are dedicated to making every journey extraordinary - including yours! Are you ready to unlock your potential with a community of fellow explorers? Explore opportunities at our Berlin headquarters or in one of our local offices worldwide, from New York to Bangkok. Visit getyourguide.careers to embark on your next adventure. Team Mission Within the Growth Data Engineering team, part of the strategic Flywheel Data Engineering group, our mission is to establish trusted data foundations and self-service capabilities for customer growth in our marketplace. We ingest, integrate, and structure essential internal and external datasets into dependable tables, metrics, and data products, empowering GetYourGuide to acquire and retain customers efficiently. Our close collaboration with Growth Analytics, Product, and Data teams enables accelerated and confident decision-making. Your Mission Create end-to-end data solutions independently: Provide reliable, high-quality datasets and pipelines that support traveler-facing decisions (e.g., acquisition, conversion, engagement, retention). Act as a trusted thought partner: Collaborate with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-service data capabilities. Exhibit technical excellence: Implement best practices in code quality, data modeling, testing, and monitoring; contribute to operational support to enhance reliability over time. Enhance existing production systems: Pragmatically refactor and simplify current pipelines/models, address data quality issues at their source, and execute targeted performance and cost optimizations within your scope. Contribute to team success: Engage in planning, roadmaps, code reviews, and knowledge sharing to elevate team effectiveness. Maintain an operational mindset: Balance operational responsibilities with new solution development, prioritizing improvements based on team service-level objectives.

Transform the Travel ExperienceEmbark on an exciting journey with GetYourGuide, where we connect people with unforgettable travel experiences worldwide. Millions trust us for unique activities that enrich their travels, all driven by our dedication to making every journey remarkable—including yours.Are you ready to unleash your potential alongside a community of fellow adventurers? Explore your next opportunity at our Berlin headquarters or one of our global offices, from New York to Bangkok. Visit getyourguide.careers to start your adventure.Team MissionWithin the Supply Data Engineering team, part of the strategic Flywheel Data Engineering group, our mission is to establish trusted data foundations and self-service capabilities for the supply side of our marketplace. We ingest, integrate, and structure vital internal and external datasets into reliable tables, metrics, and data products that empower GetYourGuide to onboard suppliers, enhance their success, and scale supply operations. Our close collaboration with Supply, Product, and Data enables teams to work swiftly and confidently.Your RoleLead a High-Performing Team: Recruit, coach, and support data engineers to excel, providing clear expectations, direct feedback, and performance management.Set Direction and Deliver Results: Shape the roadmap, strategy, and long-term vision for Supply Data Engineering, aligning with the priorities of Product, Sales, and Data partners.Act as a Trusted Advisor: Build strong relationships across Supply, Product, and Data, promoting the adoption of trusted datasets and self-serve capabilities.Enhance Technical Excellence: Ensure a robust data architecture, reliability, and quality. Establish effective engineering practices and standards while balancing hands-on technical leadership with team leadership.Drive Critical Decisions: Lead initiatives integrating internal and external datasets to support dynamic pricing, availability and inventory optimization, and quality improvements.

Transform the Travel Experience Become a pivotal part of GetYourGuide, where we connect travelers with extraordinary experiences across the globe. Our commitment to delivering unique activities people can trust empowers millions to embark on unforgettable journeys. Are you ready to make your mark? If you're eager to explore your potential within a community of innovators, consider joining us at our Berlin headquarters or any of our offices worldwide, from New York to Bangkok. Take your first step by visiting getyourguide.careers. Team Mission As part of the Supply Data Engineering team within the strategic Flywheel Data Engineering group, our goal is to establish robust data foundations and self-service capabilities for the supply side of our marketplace. We aggregate, integrate, and structure vital internal and external datasets into trustworthy tables, metrics, and data products, facilitating supplier onboarding, enhancing their success, and optimizing supply operations—all through close collaboration with Supply, Product, and Data teams. Your Mission Own the Data Pipeline: Provide reliable, high-quality data solutions that empower supply decision-making. Act as a Trusted Advisor: Collaborate with Supply, Product, and Data teams to translate business needs into tangible outcomes and promote the utilization of self-service data capabilities. Champion Technical Excellence: Actively manage and enhance the team’s data ecosystem with a long-term focus on architecture, testing, monitoring, performance, and cost efficiency. Enhance Existing Systems: Lead the design of new capabilities and continuously refine deployed systems through strategic refactoring, reliability enhancements, and simplification. Elevate Team Performance: Raise engineering standards through comprehensive code reviews, design contributions, and hands-on support—removing obstacles for fellow engineers and sharing knowledge to enhance team capability. Define Best Practices: Influence technical standards and decisions with an emphasis on simplicity, reusability, and maintainability.

Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.Your ResponsibilitiesDesign and sustain an exceptional data infrastructure that underpins vital processes.Enhance platform self-service capabilities by developing features for ETL and orchestration.Streamline processes to maximize compute resource efficiency and minimize costs.Implement automation solutions to ensure our infrastructure's availability around the clock.Participate in the design and rollout of new services within our platform ecosystem.

We are seeking a highly skilled Senior Data Engineer to join our dynamic team at repriskag in Berlin. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality and accessibility.

Join Almedia, a pioneering force in reshaping the marketing landscape. We are on a mission to become Germany’s second bootstrapped unicorn, already recognized as Europe’s third fastest-growing company in 2025 (FT1000).At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our advertisers’ products. Our innovative approach is transforming user acquisition strategies for some of the largest companies worldwide.Data EngineerAs a Data Engineer at Almedia, you will play a pivotal role in designing, implementing, scaling, and maintaining the code that drives our production environment. Enjoy the freedom to innovate as you develop the next generation of our data and backend platforms—building robust APIs, pipelines, and leveraging both self-managed and cloud infrastructure to deliver reliable, high-impact systems.A strong technical mindset and a passion for continual improvement are essential.

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions, dedicated to empowering businesses with state-of-the-art, user-centric technology that streamlines marketing and recruitment processes. We are on the lookout for a skilled Data Engineer to join our dynamic team, tasked with constructing a robust infrastructure that facilitates the collection, storage, and processing of extensive data sets, ensuring reliable access to critical data that drives strategic decision-making and fosters innovation.Position Overview:The Data Engineer will play a pivotal role in designing, building, and maintaining efficient data pipelines, enabling seamless data flow across diverse systems. Collaboration with data scientists, analysts, and various stakeholders will be essential to guarantee that our data is accessible, accurate, and dependable for effective business analysis and informed decision-making.

Join Delivery Hero as a Legal Data Engineer and contribute to our innovative team in Berlin. As a part of our legal department, you will leverage data engineering skills to enhance legal processes, ensuring compliance and efficiency. You will be responsible for designing and implementing data solutions that support our legal operations, making a significant impact on our business.

About the Position: We are experiencing rapid growth at Bluefish AI, and our Engineering team is set to expand significantly in the next three months. We are seeking an Engineering Manager to join our esteemed engineering leadership team. This is not merely a leadership position; it presents a unique opportunity to influence the foundational aspects of a dynamic, product-oriented startup during a pivotal growth phase. In this role, you will oversee our Data Engineering team, tasked with maintaining the pipelines and infrastructure that drive our AI-powered commerce intelligence platform. Our systems handle and process hundreds of millions of synthetic prompts and signals, with expectations for substantial scaling as our traffic surges in the forthcoming months. A key focus of this position will be to guide the evolution of our data platform towards a scalable data lake architecture while ensuring reliability for the critical production pipelines utilized by our enterprise customers. You will spearhead efforts in execution, quality assurance, and cultivating a positive team culture. Your leadership will be essential in transforming early-stage velocity into mature, high-performing teams, all while preserving the agility and pace that define exceptional startups.

As a Lead Data Platform Engineer at YAZIO, you will spearhead the development and optimization of our data platform, ensuring that it meets the growing needs of our users. You will work closely with cross-functional teams to create efficient data pipelines, improve data architecture, and lead initiatives that enhance data accessibility and usability.

Veeva Systems is a visionary 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 the last fiscal year, with substantial growth opportunities ahead.At Veeva, our core values are pivotal to our success: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; in 2021, we made history by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere organization, we promote flexibility in your work environment, whether at home or in the office, empowering you to thrive.Join us in transforming the life sciences industry, as we strive to create a positive impact on our customers, employees, and communities.Role OverviewThis is a unique opportunity to architect the data engine that drives Veeva Link. As the Engineering Manager for the Healthcare Organization (HCO) team, you will go beyond traditional management; you will tackle intricate data challenges.Our datasets have extensive dependencies across various products. Your mission will be to define and develop resilient data pipelines that navigate this complexity while ensuring both local autonomy and global coherence. You will lead a high-performing team in creating a scalable, modern platform utilizing Apache Spark, Lakehouses, and AWS Redshift.If you are passionate about leading a team where technical architecture and talent development harmoniously converge, this position is perfect for you.

smava GmbH is Germany’s leading online credit comparison platform. The company focuses on making loans more transparent, fair, and affordable for consumers. With over 300,000 customers, smava continues to influence the digital landscape of consumer lending. Role overview The Data Engineer (f/m/d) will join the Data Platform team in Berlin. This group is responsible for providing the data infrastructure and services that power the entire organization. Their work enables teams across smava to make informed decisions, with a strong emphasis on speed, safety, and security. What you will do Maintain, improve, and update the data platform to meet evolving business requirements. Design and implement data models, including those using Data Vault methodologies. Develop scalable batch and streaming data pipelines for efficient data processing. Collaborate with Business Analysts, Analytics Engineers, Data Scientists, and fellow Data Engineers on important data projects. Uphold high standards for data reliability, quality, and performance throughout the systems. Promote improvements in infrastructure by applying best practices and automation. Technology stack AWS: Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, and more Data Engineering: Python, dbt, Dagster, Matillion Infrastructure: Terraform, Docker, CI/CD Other Tools: Segment, Linux, Tableau Further details about the team's work can be found in these articles on AWS and Dagster. This role is based in Berlin.

Design and develop efficient ETL/ELT processes to ensure optimal data processing and analysis.Build and maintain data pipelines delivering real-time data while assisting teams in creating data-driven products such as personalization, recommendations, and tracking systems.Develop interfaces for external systems and ensure reliable integration of new data sources (e.g., REST APIs, Google Analytics).Automate testing and deployment processes for data models, ETL jobs, and machine learning applications.Manage infrastructure components for Big Data and streaming technologies (e.g., ClickHouse, Kinesis), ensuring high availability and efficiency.Ensure high data quality and develop strategies for continuous system optimization.Contribute to the development and integration of machine learning models to enhance personalization and recommendation systems.Actively participate in our DevOps team and take responsibility in on-call duties.Document technical processes to ensure transparency and traceability of all data operations.

About Parloa Parloa builds technology to make customer conversations smoother and more meaningful for both clients and the businesses that serve them. Using agentic AI, the team supports a new kind of customer experience, one where support is a real dialogue, not just a transaction. Parloa already powers over one billion interactions for brands like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI, helping them operate at scale. Role Overview: Staff Data Engineer – Internal Platform This Staff Data Engineer role focuses on shaping and running the internal data infrastructure behind Parloa’s AI transformation. Today, essential business data sits in many disconnected tools, making access difficult. The main challenge: build a unified, self-service data layer so AI agents and teams can access the business context they need. This position works closely with the AI Transformation Team and stakeholders across Parloa to define KPIs and dashboards for tracking AI adoption and its impact. Key Responsibilities Data Platform Infrastructure: Oversee all aspects of the internal Databricks workspace, including configuration, compute management, access controls, and cost tracking. Ingestion Pipelines: Build and maintain Airbyte pipelines to automate scheduled data extraction from systems like Salesforce, Gong, HRIS, finance tools, and others. Data Modeling & Transformation: Design architecture to convert raw data into clean, reliable, analysis-ready datasets. AI Data Enablement: Partner with the AI Transformation Team to deliver accurate, well-formatted data for AI agents and LLM workflows. AI Adoption Measurement: Develop KPIs and dashboards to track AI usage, proficiency, and business impact across the company. Data Governance & Compliance: Manage data classification, access policies, GDPR/DPA compliance, and pipeline monitoring. What We’re Looking For Hands-on experience designing data layers for AI or LLM-based applications and agentic workflows. Strong skills in Python, SQL, ETL/ELT tools, and MLOps. Solid grasp of dimensional modeling and modern data warehouse technologies. Location This position is based in Parloa’s Berlin office.

Join our dynamic team as a Mid-Level Data Platform Engineer (m/f/d) and play a crucial role in building and maintaining the data infrastructure that drives Flix’s innovative mobility platform.At FlixTech, our cutting-edge data platform empowers teams across the organization to effectively process, analyze, and leverage vast amounts of mobility data. This infrastructure is vital for key functionalities such as network planning, pricing, operations, and business intelligence. You will develop scalable systems that handle millions of events daily, ensuring dependable data access for the entire organization.As part of a collaborative, cross-functional engineering team, you will work closely with data analysts, data scientists, and platform engineers. Your contributions will focus on establishing robust, scalable data systems that enhance data accessibility and efficiency for various teams.

At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.

Statista Inc. is hiring a Data Engineer - Tracking Infrastructure (m/f/d) to help shape the systems that power its statistical data platform. This position is based in Hamburg or Berlin. Role overview This role centers on designing and maintaining tracking systems that collect and process data across Statista’s products. The focus is on keeping data accurate, reliable, and accessible for analytics and reporting. Collaboration Work closely with colleagues from different teams to streamline data workflows. Efforts in this area help improve how data moves through the organization and support better analytics outcomes. Key responsibilities Design and maintain tracking infrastructure Ensure data accuracy and accessibility Collaborate with cross-functional teams to optimize workflows Support enhancements to analytics capabilities

Join Intermate x SAMY – Leading the Future of Social EngagementBecome a part of SAMY, a global leader in transforming brand communication. From humble beginnings with just three employees, we have expanded to nearly 1,000 team members across over 20 international locations, engaging in more than 55 markets. Our mission is to blend creativity, technology, and culture to elevate brands in the social landscape for esteemed clients such as The North Face, Microsoft, Diageo, and Samsung.Intermate, our DACH power center with over 250 dedicated professionals in Berlin, Hamburg, and Cologne, epitomizes the social-first strategies that SAMY champions worldwide. We excel in crafting original content, collaborating closely with creators, and executing data-driven campaigns supported by our proprietary technology. Please note: Our application process incorporates an AI-driven assistant to facilitate the initial interview stage. Further details will be provided as your application progresses.Key ResponsibilitiesAs the Data Engineering Lead, you serve as the technical backbone of our global data infrastructure. You will build and manage the foundational systems that underpin our entire data strategy, encompassing everything from data pipelines to warehouses. You will lead a dynamic team of data engineers and collaborate closely with the Global Analytics Lead and the Data Product Manager.Design, develop, and maintain our global data warehouse and ETL/ELT pipelines, establishing benchmarks for agency-wide data capabilities.Guide and mentor your team of data engineers in best practices surrounding code quality, documentation, and system reliability, fostering a culture of continuous growth.Act as the technical partner to the Global Analytics Lead, converting analytical visions into scalable, automated production models.Collaborate with the Data Product Manager to ensure our internal data products are driven by efficient, high-performance, and cost-effective data streams.