Data Engineer I - Remote Opportunities

About Dataiku Dataiku provides a unified platform for building, deploying, and managing AI and analytics across the enterprise. The platform connects teams and tools, supporting transparency, collaboration, and centralized governance. Organizations use Dataiku to run analytics, machine learning, and AI projects across multiple vendors and cloud environments. Many leading global companies rely on Dataiku to operationalize AI and drive measurable business value. Learn more through the Dataiku blog, LinkedIn, X, and YouTube. Role Overview: Data Engineer I (Remote) The Enterprise Data and Analytics (EDA) team at Dataiku is hiring a Data Engineer I. This internal, non-client facing position supports the data platform that enables analytics, embedded analytics teams, Generative AI engineering, and self-service users across the company. The role is fully remote and open to candidates based in Germany, Netherlands, Spain, or the United Kingdom. What You Will Do Deliver and maintain data pipelines that power analytics and insights for teams throughout Dataiku. Split time equally between Data Operations (support, troubleshooting) and new development. Work daily with the data platform, primarily using Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL. Contribute to DataOps processes within GitHub Actions and Dataiku. Support data platform processes within Snowflake and Dataiku. What We Look For Technical skills in Python, SQL, and data platform tools (Snowflake, Dataiku, GitHub). Strong analytical thinking and problem-solving abilities. Excellent verbal and written communication skills. Curiosity and a commitment to continuous learning. Ability to work collaboratively with engineers from different teams. Positive attitude and focus on shared goals. Additional Notes This is an internal and non-client facing role.

LITIT is a joint venture between NTT DATA and Reiz Tech, focused on delivering IT solutions in the DACH region. The company brings together German precision, Japanese work ethics, and Lithuanian talent to provide IT services and support. This remote Data Analytics Engineer position centers on building and improving the IoT Insurance Data Platform (IDP) using AWS. The role involves designing, implementing, and maintaining scalable data pipelines and shared platform services. The work supports analytics, data products, and machine learning applications for industrial IoT and insurance clients. Key responsibilities Architect, deploy, and manage cloud-native data pipelines on AWS. Develop and maintain scalable ETL workflows, data lakes, and data mesh components. Create and optimize PySpark jobs for processing large-scale and time-series data. Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation. Collaborate with data platform, analytics, and product teams. Desired qualifications Extensive hands-on experience with AWS services, especially Lambda, Glue, and S3; familiarity with Athena, Lake Formation, Step Functions, and DynamoDB is a plus. Strong background in data engineering, including designing and executing ETL/ELT pipelines for large-scale or streaming data. Proficiency in Spark or PySpark for distributed data processing. Understanding of modern data formats such as Apache Iceberg and Parquet. Proven ability to deliver production-grade, enterprise-level data solutions. Experience with API integration, including AWS API Gateway and data exchange APIs. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in cross-functional Scrum teams and an agile mindset. Willingness to travel domestically or internationally as project or client needs arise, sometimes on short notice. Compensation and development Salary range: €4700 - €5700 gross per month. Opportunities for learning and continuous professional growth.

Data Engineer (Python) Company Overview Orcrist Technologies is at the forefront of innovation with the Orcrist Intelligence Platform (OIP), a cutting-edge data intelligence system built on Kubernetes. Our platform is available as a SaaS solution or can be deployed on-premises, including air-gapped setups. We manage both streaming and batch data pipelines that empower search functionalities, machine learning enrichment, and investigative workflows for our mission-critical clientele. Role Summary As a Data Engineer, you will play a pivotal role in quickly validating new data initiatives from inception to deployment, ensuring they are adoptable and scalable. In this innovative environment, you will prototype effective connectors and pipelines, generate performance assessments, and create handoff packages for productization by our Foundation or delivery team. Key Responsibilities Prototype ingestion and connector patterns (batch and streaming) utilizing NiFi, Kafka, Kafka Connect/Streams, and Change Data Capture approaches. Design schemas and data models that are both prototype-grade and easily adoptable, ensuring semantic clarity and a disciplined approach to evolution. Develop incremental lakehouse datasets using Hudi, Iceberg, and Delta patterns, producing outputs for real-world latency and throughput evaluations. Implement data quality and provenance considerations early in the process, incorporating checks, metadata hooks, and operational basics. Containerize and deploy prototypes on Kubernetes, providing minimal runbooks and configurations for seamless adoption. Create adoption artifacts including schemas, reference implementations, technical design notes, and a backlog for integration. Qualifications Minimum of 3 years of experience in data engineering with a proven track record of delivering real-world data pipelines beyond ad-hoc scripts. Proficient in Python and SQL, skilled in building transformations, validation tools, and pipeline integration code. Solid understanding of streaming and Change Data Capture fundamentals, along with experience in the Kafka ecosystem. Familiar with lakehouse architectures and query layers (e.g., Hudi, Iceberg, Delta, Trino, Hive, Postgres) and their role in making datasets accessible. Comfortable working in Kubernetes and container environments and adept at documenting technical decisions clearly. Must be eligible to work in Germany; EU/NATO citizenship is preferred, and export-control screening will apply. Preferred Qualifications Experience with data quality tools such as Great Expectations or metadata/lineage platforms (OpenMetadata, DataHub, Atlas). Experience with on-premises or air-gapped deployments and awareness of governance and policy for regulated environments. Proficiency in German (B1+) and familiarity with OSINT, GEOINT, or multi-INT data structures. What We Offer A modern data stack with real-world constraints: Kafka, NiFi, and more.

Join our team as an AI Data Specialist and help enhance AI-generated content in German. Job Type: FreelanceLocation: Work from homeWork Schedule: Part-time - 10+ hours per week. Enjoy the flexibility to work whenever you want.Start Date: ImmediateDuration: To Be ConfirmedRate: Rates vary by location. Help Shape the Future of AIAre you a student, recent graduate, stay-at-home parent, or a professional seeking a flexible work opportunity? Do you want to influence the development and safety of AI models today? Your ResponsibilitiesThis role involves various data-related tasks, including:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Counting tasks.Labeling and tagging objects across different content types (audio, video, images, and datasets). Qualifications- Native-level fluency in German- English Proficiency: Fluent or advanced (B2–C2 levels).- AI & Data Experience (Preferred): Familiarity with machine learning tasks, data collection, preprocessing, evaluation, and annotation. What We Offer- Flexible working hours- Opportunity to earn extra income- Timely payments- Ideal for students, part-timers, or stay-at-home parents

As a Shift Leader at O-I, you will play a crucial role in overseeing operations to ensure efficiency and safety within our production facility. Your leadership will drive our team towards achieving production targets while maintaining the highest quality standards.

About Qualifyze:Founded in 2019, Qualifyze has quickly established itself as a premier provider in supply chain compliance management within the Life Sciences sector, gaining the trust of over 1,500 pharmaceutical and healthcare firms worldwide. Our sophisticated digital suite of solutions seamlessly connects manufacturers, suppliers, and a global network of more than 250 auditors and quality professionals.With an impressive portfolio that includes over 4,500 audits conducted across 85+ countries, and boasting the largest, most accurate supplier network along with advanced data analytics tools, Qualifyze is your comprehensive partner for quality compliance and supply chain risk mitigation in the Life Sciences industry.

TrustYou stands at the forefront of AI-driven hospitality solutions, committed to enhancing guest experiences while empowering businesses to excel. Our diverse team of over 120 talented professionals collaborates remotely from various locations worldwide, united in a mission to help companies achieve exceptional customer satisfaction.At TrustYou, our culture is dynamic, shaped by the contributions of our team members. We value open feedback and are dedicated to continuous improvement and achieving excellence in customer service.Every individual’s unique perspective enriches our collective success, fostering an environment of experimentation, learning, and growth.Our innovative products are designed to enhance customer satisfaction, increase customer lifetime value, and minimize unnecessary expenditures.Customer Experience Platform (CXP): Gain AI-powered insights that elevate guest experiences. Enhance service quality using feedback from surveys and reviews, respond to all comments with AI assistance, and enhance your brand reputation.Customer Data Platform (CDP): Transform customer data management with AI for more direct bookings. Integrate and master customer data, manage consent, and convert insights into tailored marketing strategies and personalized journeys.AI Agents: Our intelligent, always-on agents enhance productivity and reduce operational costs. Available round the clock, they offer immediate, personalized recommendations and streamline direct booking processes.Discover more about TrustYou at www.trustyou.comIf you are passionate about enhancing customer happiness and making a significant impact, you belong here. Join us in our journey to innovate and excel in the hospitality industry.Position: Senior Software Engineer - DataLocation: Germany / Spain / Romania (Remote)As a Senior Software Engineer - Data, you will play a pivotal role in the complete development and technical execution of our core data infrastructure. Your primary focus will be on crafting clean and efficient code for building high-performance, data-intensive APIs and intricate processing pipelines that serve as the backbone of our data products.This position is tailored for a technical specialist who thrives on hands-on work with distributed systems and takes full accountability for implementing and delivering robust data solutions.

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 n8n as a Senior Engineer I-II and play a pivotal role in enhancing our Core Workflow Engine. As part of our dynamic team, you will have the opportunity to work remotely while collaborating with talented professionals across Europe. Your contributions will help shape the future of our innovative platform, ensuring seamless automation and integration for our users.

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.

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.

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.

Roland Berger seeks a Junior Data Engineer to join the IT department in Munich. This position plays a part in building and maintaining data solutions that support ongoing projects and daily operations. Role overview This role involves supporting team efforts to develop and improve data systems. Collaboration and a willingness to learn from colleagues are central to the work. The environment encourages teamwork and open knowledge sharing. What you will do Assist in creating and maintaining data solutions for business needs Work alongside team members on data-driven initiatives Help improve existing data systems and processes Location This position is based in Munich.

As the Head of Data Engineering at Statista, you will lead our data engineering team to architect and implement scalable data solutions that empower our data-driven decision-making process. You will collaborate closely with cross-functional teams to ensure that our data infrastructure supports the growing needs of the organization, while also mentoring and developing your team to foster a culture of innovation and excellence.

We are seeking a skilled DWH Architect / Senior Data Engineer to join our client's team, a prominent insurance company based in Switzerland. If you are ready to tackle complex challenges and actively shape modern data platforms, we would love to hear from you! This position allows for complete remote work from Germany. Your Responsibilities:Design and implement advanced Data Warehouse architectures.Lead migrations and modernization of existing DWH systems.Analyze and translate business and technical requirements into scalable, architecture-compliant solutions.Collaborate closely with internal stakeholders and cross-functional teams.Ensure data governance, security, and compliance with regulatory requirements in Switzerland.Continuously develop and optimize data platforms and reporting solutions.Establish and enforce naming conventions, self-service approaches, delineation, tool recommendations, and guidelines.

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.

Join Lever, a pioneering force in transforming the hiring landscape, as we seek fresh talent to help revolutionize recruitment software. Our innovative platform is trusted by industry giants like Netflix, Cirque du Soleil, and Shopify, and is designed to streamline how organizations attract and hire top-tier candidates. With a commitment to reimagining the talent acquisition process, we are proud to be recognized as a leading workplace in San Francisco and across the United States. Our success is driven by our dedicated team, and we continue to prioritize our people-first culture as we expand. Become a part of our dynamic team and help shape the future of hiring technology.

Starte deine Karriere als Verfahrensmechaniker für Glastechnik bei O-I! Du bist verantwortlich für alle Aspekte der Glasherstellung, beginnend mit der Rohstoffannahme bis hin zur Verpackung des fertigen Produkts.In diesem spannenden Berufsfeld erwarten dich vielfältige Aufgaben, darunter:Umrüsten, Einrichten und Bedienen von Produktionsmaschinen.Hochfahren und Überwachen der Maschinen zur Herstellung von Hohlglasbehältern.Durchführen regelmäßiger Qualitätskontrollen und die dazugehörige Dokumentation.Qualitätsprüfungen am fertigen Produkt, wie z.B. Mündung und Glasstärke.

In der Ausbildung zum Elektroniker für Betriebstechnik wirst du eine entscheidende Rolle in der technischen Instandhaltung und Optimierung unserer Produktionsanlagen spielen. Deine Aufgaben umfassen:Installation und Wartung elektrischer Anlagen und Komponenten in der Energieversorgung und AutomatisierungstechnikÜberprüfung und Sicherstellung der Funktionsfähigkeit von SicherheitssystemenProgrammierung, Anpassung und Testing von SteuerungssoftwareMontage und Demontage von Baugruppen zur Gewährleistung eines reibungslosen BetriebsErfassung und Analyse von VerbrauchsdatenDiagnose und Behebung technischer StörungenErweiterung bestehender Anlagentechnologien

Jobgether is looking for a Senior Data Engineer based in Germany. This position centers on building and refining data systems that support business intelligence and analytics. Role overview The Senior Data Engineer will design and implement data solutions that help the company gain actionable insights. Collaboration with teams across the organization is part of the day-to-day, with a focus on improving data architecture and supporting analytics functions. What you will do Develop and maintain scalable data pipelines Optimize data flow across systems Ensure data integrity for reliable analytics Work closely with colleagues from different departments to enhance data-driven decision making Impact Your work will help Jobgether use data more effectively to guide strategy and improve how the business operates.