Software Engineer - Data Infrastructure & Acquisition

Speechify builds technology that removes barriers to learning. Over 50 million people use our text-to-speech tools to turn PDFs, books, Google Docs, news articles, and websites into audio. Our products span iOS, Android, Mac, a Chrome Extension, and a Web App. Recognition includes Chrome Extension of the Year from Google and the 2025 Design Award for Inclusivity from Apple. Our fully remote team numbers nearly 200, including frontend and backend engineers, AI research scientists, and professionals from companies like Amazon, Microsoft, and Google. Many hold advanced degrees from top programs such as Stanford. Role overview Speechify is hiring a Software Engineer for the AI Data team. This position focuses on the entire data collection pipeline that supports model training. The work combines infrastructure, engineering, and research to build large-scale, high-quality datasets efficiently and cost-effectively. Location Berlin, Germany

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 our dynamic team at Contentful as a Senior Software Engineer specializing in Backend & Infrastructure. In this pivotal role, you will design and implement robust backend systems that power our content platform. Collaborate with cross-functional teams to enhance our infrastructure, driving innovation and efficiency in our development processes.

Join praxipal, where we're revolutionizing healthcare administration with our AI-powered workforce, tackling the global shortage of medical staff.We believe that medical assistants should focus on patient care rather than mundane tasks like scheduling, messaging, or invoicing. Enter Luna, our AI receptionist, who automates communication and is already embraced by over 100 medical practices.As we expand Luna's capabilities to manage all aspects of patient communication, we're on a mission to streamline administrative processes directly within existing practice systems.Backed by one of Europe’s leading investors and recognized as one of Germany's fastest-growing healthtech startups, our team comprises talents from renowned organizations such as Palantir, Amazon, and SAP.We are currently seeking a Senior Software Engineer (Infra & Platform) to construct the reliable, secure, and scalable infrastructure that powers Luna.The RoleLuna operates in real-time, automating critical workflows involving sensitive patient data. Therefore, reliability, latency, and security are not just goals; they are essential features of our product.In this hands-on, technical role, you will establish and maintain the platform that ensures Luna's reliability in daily practice operations. This includes managing cloud infrastructure, CI/CD processes, identity and access management, observability, and Luna’s real-time voice stack. Your work will help minimize risks, streamline deployments, facilitate quick failure diagnostics, and embed security as a core principle.This position is on-site in Berlin and requires fluency in German.

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 Mapbox, we are at the forefront of real-time location technology, empowering a new wave of businesses that are location-aware. Our platform is uniquely designed to provide organizations with a comprehensive suite of tools that enable the seamless navigation of people, packages, and vehicles across the globe. With over 4 million developers relying on Mapbox for its flexibility, security, and privacy compliance, our applications, data, SDKs, and APIs allow for the creation of tailored and immersive experiences that captivate users.Our MissionData is the cornerstone of Mapbox; it drives every product we develop, from maps to navigation solutions and search functionalities. The Roads team is pivotal in building extensive global road networks that enhance both visual and navigational capabilities.Your RoleAs a Senior Software Development Engineer, you will significantly contribute to the development of high-quality road features, navigation systems, and high-definition maps. You will leverage your expertise within a dynamic, cross-functional team that is passionate about technology and self-organization.In this position, you will:Own, enhance, scale, and iterate on our existing data processing pipelines.Design and implement new data processing architectures.Gather and analyze performance metrics for continuous improvement.Participate in discussions and implement best practices for security protocols.

Join our innovative team at Axel Springer SE as a (Senior) Software Engineer specializing in Data. In this role, you will lead the design and implementation of data-driven solutions that enhance our digital products. You will work collaboratively with cross-functional teams to develop scalable software solutions that meet our users' needs.

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.

P-1327 At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most complex challenges. From revolutionizing transportation methods to speeding up medical innovations, our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to leverage profound data insights to enhance their business. Established by engineers, Databricks is embarking on an ambitious journey to develop the most advanced Lakehouse Platform. While we have a solid foundation, we aim to elevate our offerings to create significantly improved products. Our goal is to reimagine every component to provide our customers with the fastest, most user-friendly, and secure data platform for all their data workloads. As a Senior Software Engineer, you will be a key member of our Berlin site and play a pivotal role in our multi-year mission to realize our Lakehouse vision. You will engage in the entire development lifecycle and embody the core values of Databricks. The impact you will have: Our backend teams operate across various domains within our essential service platforms. You may encounter challenges such as: Addressing issues that encompass product development and infrastructure, including distributed systems, scalable service architecture, monitoring, workflow orchestration, and enhancing developer experience. Creating reliable, secure, and high-performance services and client libraries for managing and accessing massive amounts of data on cloud storage solutions, such as AWS S3, GCS, and Azure Blob Store. Developing product features that empower our customers to efficiently store and access their data.

Join PPRO, where our mission is to facilitate seamless access to local payment methods, empowering global commerce. We envision a world where anyone can purchase goods and services using their preferred payment method. Our partnerships with industry leaders like Ant Group, PayPal, and Stripe enable us to tap into new markets and connect with a broader customer base, accelerating growth for all.Our strength is rooted in our diverse and multicultural team, comprising over 50 nationalities across more than 10 international locations. United by a common goal, we strive to deliver exceptional products and services to our partners and customers. While we focus on innovating global commerce, we embody principles of #chooseaction, #beopen, #thinkcustomer, #gofurther, and #wintogether.Purpose of the Role:As an Infrastructure Engineer II, you will join the Developer Enablement domain, tasked with ensuring that all cross-functional development teams have access to a robust, scalable, reliable, cost-effective, and highly secure infrastructure for their applications. Your expertise will be pivotal in implementing and maintaining our infrastructure framework, paving the way for development teams to thrive. At PPRO, we operate as a cloud-native FinTech, utilizing AWS for our payment services and GCP for analytics.

Lead the design, development, and management of large-scale, distributed data systems that power our media and advertising solutions.Take complete ownership of our systems throughout their lifecycle, encompassing architecture, implementation, testing, deployment, operations, and ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee consistent and high-quality data delivery.Work closely with engineers, data scientists, and product teams to foster improvements, introduce innovative ideas, and uphold technical excellence.Drive continuous optimization and performance enhancements across our platforms.Exhibit curiosity and proactivity—explore emerging technologies, propose groundbreaking solutions, and elevate engineering standards.

About Langfuse Langfuse builds an open-source LLM Engineering Platform that helps teams develop AI applications. The platform includes tools for tracing, evaluation, and prompt management. As part of ClickHouse, Langfuse focuses on improving AI observability with a strong data-driven approach. Langfuse is the largest open-source solution in its field. The platform is trusted by 19 of the Fortune 50, has over 2,000 customers, and handles more than 26 million SDK downloads each month. The infrastructure processes over a billion trace events monthly, supporting high reliability and performance for clients. Role Overview: Senior Cloud Infrastructure Engineer This position focuses on maintaining and improving the cloud infrastructure that supports Langfuse’s services. The role involves managing operations on AWS ECS Fargate and ClickHouse Cloud, with attention to performance and cost efficiency. The Senior Cloud Infrastructure Engineer will help scale systems to match customer growth. In addition to cloud operations, the role covers public self-hosted infrastructure, giving teams flexibility in how they deploy Langfuse. Location Remote within Europe.

About the Role nagarro is looking for an IT Infrastructure Engineer in Berlin to help design, implement, and manage IT systems. This role works closely with teams across the company to keep infrastructure secure and running smoothly. What You Will Do Design and build IT infrastructure components Maintain and monitor system performance and security Work with colleagues from different departments to support business needs Contribute ideas to improve efficiency and reliability

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.

Join praxipal, where we are pioneering an AI-driven administrative workforce for healthcare aimed at alleviating the global shortage of medical personnel.Our medical assistants are crucial and deserve to focus on patient care rather than administrative tasks like managing callbacks, scheduling, and handling invoicing. This is why we developed Luna.Luna, our AI receptionist, efficiently manages and automates phone communications, earning the trust of over 100 medical practices. We are now expanding Luna's capabilities from voice interactions to comprehensive patient communication across all channels. Our vision is to evolve Luna into a fully-fledged AI solution that automates all administrative functions within medical practices, seamlessly integrated into existing systems.With backing from one of Europe’s premier investors, we are among the fastest-growing healthtech startups in Germany. Our diverse team includes alumni from Palantir, Amazon, SAP, the University of Cambridge, and the Hasso Plattner Institute.We are seeking a Senior Software Engineer focused on data integration to establish the technical foundation that will allow Luna to streamline workflows across numerous medical practices.

Join Databricks as a Senior Staff Software Engineer! At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to groundbreaking cancer drug development. Our mission is to build and operate the finest data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Our engineering teams develop sophisticated products that address significant needs globally. We are responsible for one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system issues, and our software is designed to shield our customers from these challenges seamlessly. The Delta DML team is responsible for the core write-path operations of Delta Lake, the open-source storage layer powering the Databricks Lakehouse. Our goal is to deliver top-tier performance and a smooth user experience at massive scales, with the majority of data processed in Databricks traversing our platform. We spearhead performance innovations such as Low Shuffle Merge and Deletion Vectors, and actively contribute to open-source initiatives to unify Delta and Iceberg formats. We are looking for a highly capable and experienced Senior Staff Software Engineer to join our backend team. In this pivotal role, you will be key in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will create the next-generation platform for serving workspace assets, ensuring high queries per second (QPS), low latency, reliability, and performance, while proactively addressing future growth challenges. Additionally, as a senior team member, you will provide technical leadership, mentorship, and guidance to junior engineers, enhancing overall team coding practices and system designs. Your Impact: Address real business needs at scale through your software engineering expertise. Conduct low-level systems debugging, performance measurement, and optimization on extensive production clusters. Architect design solutions, influence product roadmaps, and take ownership of new projects. Implement tools to enhance automation and operability of services. Utilize your extensive experience to help prevent and investigate production issues. Plan and lead complex technical projects that involve collaboration with multiple teams across the company. Act as a technical team lead by mentoring others, leading sprint planning, delegating tasks, and participating in project planning.

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.

Join Mirelo AI, where we are pioneering the future of creative tools by transforming silent video content into immersive sound, speech, and music.Our team is at the forefront of developing advanced generative AI models that bring life to video content, enabling creators across gaming and video platforms to enhance their storytelling. Recently, we secured a strong $41 million Seed funding round, led by prestigious firms including Andreessen Horowitz and Index Ventures, propelling our rapid expansion in Product, Engineering, Go-to-Market, and Growth.About the RoleAs a Training Infrastructure Engineer, you will play a crucial role in optimizing our training stack. Your responsibilities will include profiling GPU behavior, debugging training pipelines, enhancing throughput, selecting optimal parallelism strategies, and building robust infrastructure for efficient model training at scale. You will collaborate on cluster management, model training, and the development of efficient data pipelines for video and audio processing.

Design, develop, and manage extensive, distributed data systems that enhance media and advertising products.Take complete ownership of the entire lifecycle of our systems, encompassing architecture, implementation, testing, deployment, operations, and their ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee reliable and high-quality data delivery.Work closely with engineers, data scientists, and product teams to implement improvements, introduce innovative ideas, and maintain technical excellence.Contribute to the continuous optimization and performance enhancements of our platforms.Stay inquisitive and proactive, explore emerging technologies, propose innovative solutions, and elevate the engineering standards.