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• As a Data Engineer, you will work on creating websites and portals for both internal and external use, developing and evolving the data visualization platform by creating data models and ETLs, within distributed teams with good communication and varying levels of scrum maturity.
• Design, develop, test, and maintain features for the Databricks Data Warehouse solution.
• Assess and implement technical aspects of access concepts, including RBAC/ABAC governance, to ensure data security and compliance.
• Collaborate with cross-functional teams to define, design, and launch new features.
• Write clean, maintainable, and efficient code, primarily in Python.
• Support/manage Unity Catalog capabilities, governance, and domain-driven catalog management.
• Process automation.
• Troubleshoot, debug, and optimize existing solutions.
• Stay updated with the latest industry standards and technologies and strive for continuous improvement.

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  Technical University Degree (STEM)
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  4-5 years of experience with Python and SQL, and 1-2 years with Power Apps
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  3-4 years of experience in Data Warehousing and/or Data Engineering in Azure
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  2-3 years with Azure Databricks and 1-2 years with Databricks Unity Catalog, including implementation
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  1-2 years of experience in access concepts, RBAC/ABAC, and governance
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  C1 level English

• Vacation: 30 days.
• Intensive schedule on Fridays and in August.
• 100% remote work in July, August, and December.
• Hybrid model (60% remote).
• Competitive salary.
• Career plan and internal training.
• Additional benefits (life insurance, health insurance, etc.).

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• Experiencia en Python Mínimo 3-5 años de experiencia en desarrollo con Python, con un sólido entendimiento del lenguaje y su ecosistema.
• Conocimientos en Arquitectura Hexagonal Experiencia en la implementación de la Arquitectura Hexagonal, comprendiendo su propósito de separar la lógica de negocio de la infraestructura y la interacción con el entorno.
• Diseño y Desarrollo Basado en Dominios (DDD) Conocimiento y experiencia en la aplicación de DDD para modelar problemas complejos en aplicaciones.
• Patrones de Diseño Dominio de patrones de diseño de software (por ejemplo, Singleton, Factory, Strategy, Observer) y su implementación práctica.
• Experiencia con AWS Familiaridad con los servicios de AWS (EC2, S3, Lambda, Cognito, DynamoDB, RDS) y capacidad para diseñar e implementar soluciones escalables en la nube.
• Integración continua (CI/CD) Experiencia en la configuración y mantenimiento de pipelines de CI/CD utilizando herramientas como Jenkins, GitLab CI, o similares.
• Pruebas y Testing Conocimiento en la creación de pruebas unitarias, de integración y funcionales utilizando herramientas como pytest, unittest, o similares.
• Buenas Prácticas de Desarrollo Adopción de principios SOLID, principios de Clean Code y mejores prácticas de desarrollo seguro.
• Control de Versiones Experiencia con Git y flujos de trabajo basados en Git (GitFlow).
• Conocimiento en otros Lenguajes o Frameworks Experiencia adicional en otros lenguajes de programación o frameworks relevantes (FastAPI, Flask).

• Microservicios Experiencia en la construcción y mantenimiento de microservicios.
• Conocimientos en Docker y Kubernetes Capacidad para crear, manejar y desplegar contenedores Docker, y para orquestar servicios con Kubernetes.
• Metodologías Ágiles Experiencia trabajando en entornos Agile/Scrum.
• Frontend (React/NextJS) Se valorará experiencia en desarrollo frontend utilizando React para crear interfaces de usuario dinámicas y responsivas.

• Grado en Ingeniería informática Se valora especialmente, aunque no es excluyente si se cuenta con la experiencia técnica relevante.

• Certificaciones en AWS Como AWS Certified Developer, AWS Certified Solutions Architect.

• Proyectos Anteriores Se requiere demostrar experiencia previa a través de proyectos relevantes que muestren la capacidad técnica y el conocimiento en las áreas requeridas.

• Trabajo en Equipo Capacidad para colaborar efectivamente con otros desarrolladores, arquitectos y otros miembros de equipo.
• Resolución de Problemas Habilidad para analizar y resolver problemas complejos de manera eficaz.
• Comunicación Habilidades de comunicación, tanto verbal como escrita, para poder explicar decisiones técnicas y documentar soluciones

Job Description:

Key Responsibilities:

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  Design, develop, and maintain backend systems and APIs that interface with blockchain networks, smart contracts, and decentralized storage.
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  Build and deploy serverless and decentralized backend services using Web3 technologies (e.g., Ethereum, Solana, Polygon, etc.).
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  Implement secure, scalable, and performant APIs to interact with blockchain and off-chain data.
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  Work with blockchain teams to integrate Web3 services into existing and new decentralized applications (dApps).
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  Design and optimize solutions for large-scale blockchain data storage, indexing, and querying.
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  Contribute to the architecture and engineering practices to ensure that backend systems are secure and scalable.
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  Implement event-driven architecture, handling events triggered by smart contracts, transactions, and blockchain state changes.
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  Collaborate with cross-functional teams to design and implement new features and improvements.
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  Troubleshoot, debug, and optimize backend performance and security issues.
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  Ensure that backend systems comply with industry best practices and standards for security and privacy in the Web3 ecosystem.

Required Skills & Qualifications:

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  Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
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  Strong proficiency in backend programming languages such as Go or Python .
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  Hands-on experience with smart contracts (e.g., Solidity, Vyper, etc.) and interacting with blockchains (Ethereum, Solana, etc.).
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  Solid understanding of decentralized protocols, blockchain networks, consensus algorithms, and token standards.
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  Knowledge of data structures, algorithms, and designing systems for scalability and performance.
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  Familiarity with serverless architecture, AWS, GCP, or other cloud platforms.
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  Experience with Docker, Kubernetes, and continuous integration/continuous deployment (CI/CD) practices.
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  Knowledge of cryptographic concepts, such as public/private key infrastructure, encryption, hashing, and digital signatures.
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  Strong understanding of security best practices related to Web3 technologies.
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  Excellent problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
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  Familiarity with Git, version control, and agile development workflows
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  Welcome candidates who are no experience but interested in crypto!

• Abgeschlossenes Master-Studium im Informatikbereich
• Fortgeschrittene Programmierkenntnisse in Python
• Erfahrung im Bereich Machine Learning
• Erfahrung im Bereich NLP vorteilhaft
• C1 Deutschkenntnisse
• Bereitschaft vor Ort zu arbeiten (bei Essen Hauptbahnhof)

• Programmierung von Datenverarbeitungsstrecken
• Datenaufbereitung für Trainingspipelines
• Training von Machine Learning Modellen
• Beratung und Absprachen mit Kunden
• Entwicklung eines eigenen LLM

• Innovatives Umfeld in einem modernen Start-Up mit großem Investor im Rücken
• Flache Hierarchien und hohe Eigenverantwortung
• Freie Arbeitszeiteinteilung
• Mitarbeit an Forschungsprojekten mit Verbindungen zum universitären Umfeld
• Einsatz aktueller Technologien

• Abgeschlossenes Master-Studium im Informatikbereich
• Fortgeschrittene Programmierkenntnisse in Python
• Erfahrung im Bereich Machine Learning
• Erfahrung im Bereich NLP vorteilhaft
• C1 Deutschkenntnisse
• Bereitschaft vor Ort zu arbeiten (bei Essen Hauptbahnhof)

• Programmierung von Datenverarbeitungsstrecken
• Datenaufbereitung für Trainingspipelines
• Training von Machine Learning Modellen
• Beratung und Absprachen mit Kunden
• Entwicklung eines eigenen LLM

• Innovatives Umfeld in einem modernen Start-Up mit großem Investor im Rücken
• Flache Hierarchien und hohe Eigenverantwortung
• Freie Arbeitszeiteinteilung
• Mitarbeit an Forschungsprojekten mit Verbindungen zum universitären Umfeld
• Einsatz aktueller Technologien

• Data Strategy: Develop and implement a data strategy aligned with business objectives.
• Collaboration: Promote cross-departmental cooperation to enable data-driven decision-making.
• Data Governance: Establish frameworks for data quality, integrity, and compliance.
• System Oversight: Manage data system performance and security.
• Architecture: Design data architecture and optimize processes for data management and reporting.
• Team Leadership: Lead and mentor a small team to foster collaboration and high performance.

• Extensive experience in IT, data management, or business intelligence.
• Previous leadership experience overseeing data infrastructure or enterprise systems.
• Strong background in data analysis and master data management.
• Proficiency in Excel, SQL, Python, and Power BI.
• Experience managing data platforms and cloud technologies, particularly Azure.
• Familiarity with Dynamics 365 or other CRM systems is a plus.
• Proven success in implementing data governance and analytics initiatives.
• Experience leading cross-functional teams and managing vendor relationships.

• Develop and deploy Python-based solutions (v3.9 and above) to migrate existing analytical models from MATLAB to a cloud environment (AWS).
• Build reusable components to support fundamental analytics and facilitate the enhancement of trading strategies.
• Create and maintain reports and interactive dashboards using Snowflake and other visualization tools to provide insights into power trading operations.
• Utilize APIs to integrate with existing applications and streamline data workflows.
• Collaborate with commercial teams to understand their needs and translate them into technical specifications and solutions.
• Implement and maintain CI/CD pipelines to ensure robust, efficient, and reliable software delivery.
• Integrate messaging platforms such as Kafka for real-time data communication.
• Use Infrastructure as Code principles to provision and manage cloud resources effectively.
• Troubleshoot and optimize existing systems to improve performance and reliability.

• Proficiency in Python (3.9 and above) and object-oriented programming (OOP) principles.
• Experience with AWS cloud services and deployment strategies.
• Strong SQL skills for database management and querying, with hands-on experience in Snowflake.
• Familiarity with Docker/Kubernetes (ECS & EKS) for containerization and orchestration.
• Knowledge of CI/CD processes and tools.
• Experience with messaging platforms (e.g., Kafka).
• Understanding of Linux operating systems and command-line tools.

• Bachelor's degree in a STEM field.
• Experience developing and supporting investment, trading, and analytics platforms.
• Excellent problem-solving skills with a demonstrated passion for using technology to address business challenges.
• Strong collaboration and communication skills to work effectively with both technical and commercial teams.

Full-stack Developer (React/Next.js & FastAPI)

Key Responsibilities:

• Develop and maintain a modern frontend using React/Next.js, ensuring an excellent user experience.
• Build and optimize backend services with FastAPI, handling API integrations and real-time data processing.
• Design and implement scalable database solutions with TimescaleDB (or PostgreSQL), focusing on time-series data.
• Work with real-time data ingestion and event-driven architectures on Azure.
• Collaborate with data engineers and scientists to support analytics pipelines.
• Ensure security, performance, and reliability across all systems.
• Write clean, maintainable, and well-documented code.
• Participate in agile development processes, including code reviews and team discussions.

What We're Looking For:

• 3+ years of experience as a full-stack developer.
• Strong proficiency in React and TypeScript.
• Hands-on experience with Python and FastAPI (or similar frameworks).
• Solid understanding of API design (REST, WebSockets, GraphQL).
• Experience with TimescaleDB or PostgreSQL.
• Familiarity with cloud platforms (preferably Azure).
• Experience with Docker and containerized deployments.
• Knowledge of real-time data processing tools (Azure Event Hub, Kafka, etc.).
• Experience with universal design and cross-device usability.
• Familiarity with CI/CD pipelines and version control (Git).
• Strong communication skills (English) and ability to work in a cross-functional team.

Nice-to-Have Skills:

• Experience with real-time streaming architectures.
• Familiarity with data visualization libraries.
• Experience with map-based interfaces.
• Exposure to DevOps tools (Terraform, Ansible).
• Prior experience in transportation, IoT, or data-heavy applications.
• Experience in a startup or scale-up environment.