Engineering Manager - Healthcare Organization Data

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 co…

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.

Join Taktile as a Lead Forward Deployed Engineer, where you will play a pivotal role in bridging cutting-edge technology with client needs. Your expertise will guide the deployment of innovative solutions, ensuring seamless integration and optimization of our products.

Role Overview Pergolux is looking for a Global CRM Lead to shape content and automation strategies for the DACH team in Berlin. This role focuses on improving customer engagement and refining CRM processes across the region. What You Will Do Develop and implement content plans for CRM channels Design and optimize automation workflows to support customer journeys Work closely with teams across the company to deliver projects that strengthen customer relationships Drive improvements in CRM systems to support business goals Location Based in Berlin, working with the DACH regional team.

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.

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.

Technical LeadAbout Orcrist TechnologiesOrcrist Technologies is at the forefront of innovation with the Orcrist Intelligence Platform (OIP), a cutting-edge, Kubernetes-native solution designed to facilitate secure open-source intelligence collection and analysis for defense and public safety sectors.Role OverviewAs a Technical Lead, you will steer the architecture of our data platform. Your responsibilities will include designing and constructing the lakehouse infrastructure (utilizing technologies such as Hudi, Trino, Kafka, NiFi, and PySpark) that underpins all downstream AI and analytics offerings, while also providing mentorship to our team of Data Engineers.ResponsibilitiesTake ownership of the architecture for our data lakehouse—make informed decisions on build-vs-buy, craft technical designs, and direct implementation efforts.Develop production-level Python code for essential data pipelines and infrastructure components (including PySpark, Kafka, and NiFi).Establish engineering standards for code quality, testing, observability, and documentation.Guide and mentor Data Engineers through code reviews, one-on-one sessions, and technical advice.Collaborate with Product teams to transform requirements into scalable technical solutions.Design and implement data governance frameworks focusing on lineage, cataloging, and compliance with government security regulations.QualificationsMinimum of 6 years of experience in data engineering, with at least 2 years in a leadership or architectural capacity.Proficiency in Python (including PySpark and pandas) and SQL, along with a comprehensive understanding of lakehouse architectures and data modeling.Experience with streaming technologies (e.g., Kafka), batch processing frameworks (e.g., Spark), and modern table formats (e.g., Hudi, Iceberg, or Delta).Proven track record in building and maintaining large-scale data platforms in production environments.Eligibility to work in Germany; EU/NATO citizenship preferred for roles involving export control.Preferred QualificationsProficiency in the German language (B1 or higher).Experience in defense or government data environments.Familiarity with graph databases or machine learning infrastructure.BenefitsAccess to a modern technological stack (Hudi, Ozone, PySpark, Trino, Kafka, Kubernetes).Work on mission-driven projects that make a significant impact.Remote-first work culture based in Germany.Opportunities for meetups in Berlin.30 vacation days per year.Budget for equipment and professional development.

Join our innovative team at Taktile as a Backend Engineer focused on our cutting-edge Data Marketplace. In this role, you will design and implement robust backend solutions that drive the scalability and efficiency of our data services. You will collaborate with cross-functional teams to enhance our platform, ensuring seamless data integration and accessibility for users worldwide.

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.

At Pipedrive, we understand that exceptional products stem from exceptional people. Our team embodies our core values and we prioritize hiring individuals who resonate with them. Since 2010, Pipedrive has been dedicated to empowering sales and marketing teams with intuitive and robust tools that streamline their daily workflows. Today, our cloud-based platform is trusted by over 100,000 companies across 179 countries. From our humble beginnings as a five-person startup, we have evolved into a dynamic global organization with more than 850 employees representing over 50 nationalities, operating from ten offices across Europe and the US. In 2020, Pipedrive became the fifth unicorn from Estonia following a significant investment from Vista Equity Partners, a premier investment firm focusing on enterprise software and technology-enabled businesses.We are seeking a Lead Security Engineer to spearhead our security initiatives, ensuring that secure-by-design principles are integrated into all our platforms and products. This role is a unique blend of architectural leadership and hands-on engineering, with a focus on developing scalable tools for automated detection and response. As a Lead Security Engineer, you will also be instrumental in providing technical mentorship, guiding junior and mid-level security engineers through comprehensive code reviews, leading project-based workstreams, and advising engineering teams on secure development practices, all while enhancing our overall security posture. If this opportunity aligns with your career aspirations, we would be thrilled to connect!

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

Team OverviewThe Card Not Present (CNP) Protect team is a dynamic, cross-functional unit within SumUp's Risk & Compliance tribe. We are dedicated to safeguarding millions of merchants by mitigating fraud in our card-not-present offerings. Our team excels in developing robust machine learning systems and data pipelines that facilitate real-time automated decision-making. We are currently enhancing our infrastructure to incorporate foundation model embeddings. This role offers significant ownership and impact, directly influencing the efficacy of our fraud detection mechanisms.Key ResponsibilitiesDesign, implement, and sustain high-quality Python-based data pipelines that support machine learning workflows, featuring real-time and near-real-time data processing.Assume complete responsibility for data quality and reliability, executing validations, automated testing, monitoring, and alerting with established SLAs.Enhance our data foundation by meticulously documenting architecture, data lineage, dataset definitions, and managing dependencies.Lead the governance of our Feature Store, refining usability and standardizing setup to enable data scientists to operate with speed and confidence.Collaborate closely with the Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to ensure safe deployment of changes to production.

Role Overview airapps is looking for a Data Engineer to help shape and maintain the data infrastructure that supports our products and teams. This position is based in the Berlin Metropolitan Area. What You Will Do Design, build, and improve data pipelines to move and transform data efficiently Work with data scientists and analysts to deliver reliable, accessible data for analysis and reporting Optimize existing systems to ensure scalability and reliability as data volumes grow Support the team’s efforts to turn raw data into meaningful insights for business decisions About airapps airapps focuses on building data-driven solutions and values collaboration across technical and analytical teams. The company’s mission centers on turning data into actionable insights.

Gestalten Sie die Infrastruktur der Zukunft mit! Wenn Sie über fundierte Erfahrungen im Wasserbau verfügen und aktiv an der Umsetzung von Wasserbauprojekten von der Planung bis zur Realisierung mitwirken möchten, sind Sie bei Drees & Sommer genau richtig. Hier erwarten Sie spannende Herausforderungen und die Möglichkeit, Ihre Fähigkeiten in einem dynamischen Umfeld weiterzuentwickeln. Nutzen Sie Ihre Expertise, um gemeinsam mit uns an der Energiewende für eine nachhaltige Zukunft zu arbeiten!Eigenverantwortliche Planung, Konzeption und Leitung von Projekten im Tief- und Wasserbau, einschließlich Kaianlagen, Uferwänden, Schiffsanlegern und Hafeninfrastruktur.Verantwortung für die fachgerechte und termingerechte Umsetzung der Bauplanung.Entwicklung und Führung des Ihnen zugeordneten Teams von Projektingenieuren.Gewährleistung der Einhaltung von Qualitätsstandards und gesetzlichen Vorschriften.Engagierte Zusammenarbeit mit interdisziplinären Projektteams und Fachbereichen.

Join Our Team as a Lead Backend Engineer At N26, we're redefining banking with a focus on innovation and technology. As a member of our Intelligent Operations Platforms (IOP) and Assistance segments, you will play a critical role in enhancing our operations and empowering other tech teams through a robust platform approach. We are looking for a skilled Lead Backend Engineer to join our dynamic cross-functional teams. You will work within a microservice architecture, primarily utilizing Java and Kotlin with Spring Boot, to evolve our product offerings. Our teams thrive on collaboration, knowledge sharing, and autonomy, ensuring that every member's voice is heard and valued. As a Lead Engineer at N26, you will be at the forefront of integrating the latest technological advancements while tackling complex and engaging challenges daily. Your Responsibilities: Shape your team’s technical landscape by collaborating closely with Product Managers and Engineering Managers to manage product technical roadmaps and dependencies, thereby minimizing technical debt. Architect and build high-availability, high-performance web applications that serve as the backbone of our internal operations. Promote a culture of solid engineering delivery by demonstrating best practices, writing clean, well-tested, and well-refactored code, and deploying it to production frequently. Integrate AI: Implement new features and integrations with foundational models and automation systems to empower our back-office teams. Scale systems by optimizing, measuring, and monitoring distributed systems for seamless and continuous software delivery. Mentor team members and document processes to foster engineering excellence and knowledge sharing, avoiding silos. Lead initiatives aimed at enhancing our engineering culture across the company and explore ways to maximize team and organizational effectiveness. Participate in recruitment and employer branding initiatives to strengthen our engineering team. Qualifications for Success: Engineering Mindset & Design: Proficient in design patterns with a solid understanding of object-oriented programming and distributed systems principles, utilizing methodologies such as Domain-Driven Design and architectural patterns like Hexagonal, Event-Driven, and Microservices. Possess a strong track record of applying engineering best practices, including Clean Code, Test-Driven Development (TDD), Behavior-Driven Development (BDD), and deep observability. Experience in AI-augmented development frameworks and practices, showcasing the ability to leverage AI in enhancing software solutions.

About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.

Join 1global as a Team Lead in AI Engineering, where you will spearhead innovative projects and lead a team of talented engineers. Your expertise will drive the development of cutting-edge AI solutions that enhance our services and create lasting impact. Collaborate with cross-functional teams to define project goals, manage resources, and ensure timely delivery of high-quality results.

Are you ready to take your career to the next level? Join dev2 as a Senior Data Engineer specializing in Python and play a pivotal role in our data-driven projects. You will work closely with cross-functional teams to design and implement scalable data solutions that drive innovation and efficiency.In this role, you will:Design, develop, and maintain data pipelines and ETL processesCollaborate with data scientists and analysts to optimize data storage and retrievalEnsure data quality and integrity through rigorous testing and validationContribute to architectural discussions and guide best practices