Jobs at EUROPEAN DYNAMICS

Leads testing for enterprise software products, defining test scope, approaches, plans, scenarios, cases, data, and automation. Reviews requirements and design documentation, executes functional, API, integration, and UAT testing, manages defects, assesses product quality, and communicates test outcomes. Collaborates with development and client IT teams to align priorities, environments, tools, and quality-improvement initiatives within agile software development processes.

Designs and develops scalable Java applications, writes SQL and works with relational databases, performs testing and quality assurance, resolves production incidents, and supports deployments. Responsibilities include data analysis and modeling, software architecture documentation and reviews, technical documentation, third-level support, and collaboration with analysts, customers, users, project leaders, infrastructure suppliers, and development teams.

Designs, implements, operates, and troubleshoots enterprise LAN/WAN and network security infrastructure. Supports routing, switching, firewalls, VPNs, segmentation, load balancing, ADC, and WAF solutions. The role also contributes to infrastructure upgrades, migrations, hybrid cloud deployments, security hardening, backup and disaster recovery, SIEM logging, PKI, HSM integrations, documentation, and change management in mission-critical environments.

Develops enterprise data strategy and architecture, translating business needs into scalable models, platforms, pipelines, and technical specifications. Owns data governance, metadata, lineage, quality, security, privacy, migrations, and lifecycle management. Designs cloud and hybrid data environments, optimizes performance, evaluates emerging technologies, and collaborates with business, engineering, and data science teams. Leads architecture initiatives and mentors teams on standards and best practices.

Develop full-stack Java applications across responsive user interfaces, APIs, server-side logic, databases, testing, security, monitoring, and deployment. Diagnose application, integration, database, and performance issues; implement secure, maintainable, observable, scalable solutions; and collaborate with development and client IT teams using Agile/Scrum practices.

Data Scientist responsible for scraping and analyzing social media data, evaluating recommender systems, conducting account-based experiments, developing data pipelines and visualizations, and applying statistical, machine learning, and NLP methods. The role also provides project lifecycle support, including planning, stakeholder coordination, resource tracking, milestone monitoring, and communication across technical teams and leadership.

Designs and improves user journeys, interfaces, interaction flows, wireframes, and prototypes for web and mobile applications. Conducts user research, usability testing, accessibility assessments, and recommends improvements using WCAG, inclusive design, ergonomic principles, and assistive technologies. Collaborates with developers and stakeholders while communicating usability and accessibility topics to German-speaking stakeholders.

Maintain and evolve RDF/TTL semantic models, vocabularies, and SPARQL queries. Support data ingestion, transformation, validation, and semantic data quality across production platforms. Collaborate with backend engineers and architects to integrate semantic logic, document models and constraints, and troubleshoot reasoning issues. The role requires expertise in RDF, RDFS, OWL, SPARQL, knowledge graphs, ontology design, and structured data formats, with Python, Airflow, graph databases, and interoperability standards as potential advantages.

Designs, deploys, monitors, and optimizes production LLM and ML systems across secure hybrid cloud and on-premises environments. Responsibilities include model lifecycle management, evaluation and validation, CI/CD pipeline design, orchestration, data versioning, anomaly detection, performance troubleshooting, infrastructure scalability, and security assessments. The role also supports collaboration with data scientists and developers and provides guidance on LLMOps and MLOps practices.

Architects, develops, and secures Python back-end services and RESTful APIs. Responsibilities include database schema and query optimization, scalable cloud and containerized architectures, performance improvements, code reviews, vulnerability scanning, secure coding, and DevSecOps practices. The role requires collaboration with development and client IT teams in Brussels, using Python frameworks, relational and non-relational databases, Kubernetes, Linux, CI/CD tools, and configuration management technologies.

Develops and maintains automated testing approaches, frameworks, patterns, and suites for UI, backend, and data-driven products. The role increases test coverage, integrates automated tests into CI/CD quality gates and test management tools, supports enterprise system integration, and mentors test engineers. It also drives proof-of-concept initiatives and adoption of automation practices within agile development and testing environments.

Architects and implements secure, scalable, interoperable infrastructure and application solutions. Builds multi-cloud data platforms, MLOps pipelines, CI/CD workflows, and infrastructure-as-code environments. Manages distributed systems, databases, networking, observability, security, streaming, caching, and deployment automation. Collaborates with AI, business, and IT teams to optimize performance, scalability, integration, and operational reliability.

Designs and develops scalable data transformation pipelines using dbt and PySpark. Responsibilities include optimizing dbt and Spark workloads, implementing data quality and regression testing, managing Apache Iceberg datasets, orchestrating workflows with tools such as Dagster, and translating business requirements into operational data models. The role also supports migration from SAS ETL workflows, validates functional equivalence, and promotes engineering best practices across development teams.

Designs and maintains scalable analytics data transformation pipelines using dbt, PySpark, Spark, and Apache Iceberg. Responsibilities include optimizing dbt and Spark workloads, implementing data quality controls and regression testing, orchestrating jobs, translating business requirements, and migrating legacy SAS workflows. The role also promotes engineering best practices, documentation, version control, CI/CD, validation, reconciliation, and collaborative development for production-grade data platforms.

Designs and develops front-end web applications and modules, defines and implements architectures, models components, conducts technical impact analysis, integrates third-party solutions, monitors development, and transfers knowledge to development teams. The role requires collaboration with client IT teams and expertise in Angular, Java, Spring, APIs, GraphQL, UX, middleware, enterprise architecture, and development tooling.

Develop and deploy machine learning and generative AI solutions, including MLOps, RAG architectures, orchestration, evaluation, monitoring, governance, and responsible AI practices. Build Python microservices with FastAPI, Flask, and Pydantic, and contribute to AI solution design and documentation. The role requires experience with LLMs, AI frameworks, ML frameworks, and cloud or big data platforms.

Supports enterprise network infrastructure operations, monitoring, administration, troubleshooting, and security activities. Assists with routing, switching, firewalls, VPNs, upgrades, migrations, deployments, documentation, and operational procedures. Works alongside senior engineers while progressively developing expertise in networking, network security, cloud networking, monitoring, and automation.

Develop and maintain full-stack web applications using Angular, TypeScript, C#, .NET, Python, SQL Server, and ORM frameworks. Build responsive interfaces, backend APIs, integrations, and database solutions. Troubleshoot and optimize existing applications, collaborate within Agile teams using Azure DevOps, and contribute to testing, code reviews, documentation, and continuous improvement. The role is based in Vienna and may involve working at company or customer premises.

Develop and maintain full-stack tools for social media data collection, annotation, and analysis. Build React front ends, Python and Flask back-end APIs, database integrations, automation scripts, and Linux-based development environments. Configure Docker and Kubernetes infrastructure, ensure scalability, security, and performance, and provide troubleshooting and technical support. Collaborate with client IT teams using agile methodologies, Git, project tracking, and collaboration platforms.

Responsible for manual software testing, creating test cases, documenting processes, and supporting the service desk. Requires close collaboration with developers and business analysts.