Mendix

Senior Implementation Lead (m/f/d)

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Working Student- Low Code / AI for Manufacturing Industries (m/f/d)

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Mendix is a leading low-code application development platform that uses visual modeling to abstract long-form coding. Customers use Mendix to create and deploy better enterprise software faster, fostering collaboration between business users and developers. The company values diversity and encourages individuals of all skill levels. This role seeks a Senior Implementation Lead to spearhead complex AI Fabric implementations in EMEA, leveraging Knowledge Graphs, Generative AI, and Siemens technology, transforming enterprise data into strategic knowledge graph platforms.

Working Student – AI/ML Engineer

Mendix – the leading low-code application development platform:The Mendix Platform uses visual modeling to abstract long-form coding out of application development. Our customers use Mendix to create and deploy better software for the enterprise, faster. Mendix enables collaboration between business users and developers to work together throughout the development process.Read our <a href="https://www.mendix.com/customer-stories/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Customer Stories</a> to learn more about the wealth of software and solutions global organizations have built with the Platform.At Mendix we strive to maintain a diverse, open, and safe working environment where people can be their true selves. We value every voice, celebrate individuality, and appreciate the diversity of thought and experience. People who work here are driven, smart, and really good at what they do.As this market evolves, we encourage people of all skill levels to work with the platform, both for clients and candidates. Apply today to discover how you can make a meaningful impact with Mendix.We are looking for a Senior Implementation Lead to lead complex AI Fabric implementations in EMEA leveraging Knowledge Graphs, Generative AI, and the Siemens technology suite.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key elements of the role:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead end-to-end implementations of RapidMiner Graph Studio and Graph Lakehouse solutions, transforming enterprise data into strategic knowledge graph platforms</li><li class="leading-relaxed">Architect and deploy semantic data integration solutions using W3C standards (RDF, RDFS, OWL, SPARQL) to create enterprise-scale knowledge graphs for critical business applications</li><li class="leading-relaxed">Design and implement ontology models that represent complex business domains, enabling semantic interoperability and advanced analytics across disparate data sources</li><li class="leading-relaxed">Build semantic mapping frameworks to transform structured and unstructured data sources into RDF triple stores, ensuring data quality and consistency</li><li class="leading-relaxed">Configure and optimize Graphmart architectures including query templates, validation rules, search indexes, write-back mechanisms, and inference engines</li><li class="leading-relaxed">Integrate authentication and authorization frameworks (Keycloak, ABAC) with fine-grained access control policies for secure knowledge graph deployments</li><li class="leading-relaxed">Implement data virtualization strategies to provide unified semantic access layers across federated data sources without physical data movement</li><li class="leading-relaxed">Develop SPARQL queries and interactive dashboards using Harris Analytics to deliver actionable insights from knowledge graph data</li><li class="leading-relaxed">Deploy GenAI applications integrated with knowledge graphs to enable retrieval-augmented generation (RAG), semantic search, and AI-powered analytics</li><li class="leading-relaxed">Partner with data architects and engineers to design scalable graph database architectures aligned with enterprise data governance frameworks</li><li class="leading-relaxed">Mentor customer teams on knowledge graph best practices, semantic modeling methodologies, and Graph Studio platform capabilities</li><li class="leading-relaxed">Lead workshops and enablement sessions for partners and customers, accelerating adoption and building internal competencies</li><li class="leading-relaxed">Troubleshoot complex technical challenges in production environments, providing rapid resolution and continuous optimization</li><li class="leading-relaxed">Collaborate with product teams to provide customer feedback, influence roadmap priorities, and contribute to platform evolution</li><li class="leading-relaxed">Support pre-sales activities by conducting technical discovery, proof-of-concept implementations, and solution architecture design</li><li class="leading-relaxed">Champion AI and knowledge graph adoption within customer organizations by demonstrating value through tangible business outcomes</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Education:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A degree in Computer Science, Data Science, Information Systems, Software Engineering, or related technical field/</li><li class="leading-relaxed">Advanced certifications in semantic web technologies, knowledge graphs, or enterprise data architecture are a plus.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Experience & Skills:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">8+ years of experience in enterprise software implementation, with at least 4+ years focused on AI, knowledge graphs, semantic technologies, or advanced analytics platforms</li><li class="leading-relaxed">Proven expertise in knowledge graph platforms, semantic web standards (RDF, RDFS, OWL, SPARQL, SHACL), and graph database technologies (e.g., RDF triple stores, property graphs)</li><li class="leading-relaxed">Deep understanding of ontology engineering, semantic modeling, and linked data principles with hands-on experience creating production-grade ontologies</li><li class="leading-relaxed">Demonstrated success leading complex, multi-stakeholder implementation projects from requirements gathering through production deployment</li><li class="leading-relaxed">Strong technical skills in data integration, ETL/ELT processes, and working with diverse data sources (relational databases, NoSQL, cloud storage, APIs)</li><li class="leading-relaxed">Experience with GenAI technologies including large language models, vector databases, embeddings, and retrieval-augmented generation (RAG) architectures</li><li class="leading-relaxed">Proficiency in SPARQL for querying and manipulating RDF data, with ability to write complex federated queries and inference rules</li><li class="leading-relaxed">Familiarity with authentication/authorization frameworks such as Keycloak, OAuth2, SAML, and attribute-based access control (ABAC)</li><li class="leading-relaxed">Knowledge of enterprise integration patterns, API design, microservices architectures, and cloud platforms (AWS, Azure, GCP)</li><li class="leading-relaxed">Programming skills in Python, Java, or similar languages for scripting, automation, and extending platform capabilities</li><li class="leading-relaxed">Customer-facing excellence: ability to build trusted advisor relationships with C-level executives, technical leaders, and business stakeholders</li><li class="leading-relaxed">Strong analytical and problem-solving skills with ability to diagnose complex technical issues and design elegant solutions</li><li class="leading-relaxed">Excellent communication skill - able to translate complex technical concepts into clear, business-focused narratives that drive decision-making</li><li class="leading-relaxed">Collaborative mindset with proven ability to work effectively across global, cross-functional teams in matrixed organizations</li><li class="leading-relaxed">Growth-oriented approach with passion for continuous learning and staying current with emerging AI and semantic technology trends</li><li class="leading-relaxed">Project management capabilities including agile methodologies, stakeholder management, risk mitigation, and delivery excellence</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Other requirements:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Business-fluent English is required for effective communication in international settings</li><li class="leading-relaxed">Additional European languages (German, French, Spanish, or others) are highly valuable for regional customer engagements.</li></ul>#LI-LP2If you see a job description and think, “I’d be perfect for that” but your experience doesn’t align perfectly with the qualifications – don’t let that hold you back. We’re always eager to hire talented, passionate candidates – so give it a try and apply.Equal Employment Opportunity StatementMendix/Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.EEO is the LawApplicants and employees are protected under Federal law from discrimination. To learn more, <a href="https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Click here</a>.Pay Transparency Non-Discrimination ProvisionSiemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, <a href="https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Click here</a>.California Privacy NoticeCalifornia residents have the right to receive additional notices about their personal information. To learn more, click <a href="https://new.siemens.com/us/en/general/legal/us-internet-privacy-notice-state-rights.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">here</a>.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description</h3>Join a Company That Invests in YouSeeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.What We're Looking ForWe are seeking a hands-on Data Engineering Team Leader to oversee our real-time data domain and lead the evolution of our data platform as it transitions from a heavy build-out to stability, quality, and scale.This role is responsible for maintaining, hardening, and extending our event processing infrastructure, focusing on adding targeted real-time processing capabilities to support analytics and informed decision-making. At Seeking Alpha, our decisions are deeply data-driven. This critical role is centered on maintaining, hardening, and extending our event processing infrastructure, with a primary focus on adding targeted real-time processing capabilities. Your work will directly support our analytics and enable informed, data-driven business decision-making based on production data. Specifically, you will be responsible for the core data component of capturing the clickstream events from the website, which is the foundational functionality for all our analytics.Looking forward, this role will help lead the team into its next phase: improving data quality and developer experience, investing in modern table formats (Iceberg), empowering analysts and data scientists, and continuously reducing cost and operational friction.This is a player–coach role, combining hands-on technical leadership with ownership, prioritization, and mentorship.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do</h3>Own the end-to-end real-time and event data domain, including ingestion, processing, and downstream consumption.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Ensure stability, correctness, and observability of existing streaming and near-real-time pipelines.</li><li class="leading-relaxed">Lead the design and implementation of select real-time processing components to support analytics and decision-making use cases.</li><li class="leading-relaxed">Define clear ownership, SLAs, and best practices for event data usage across the company.</li><li class="leading-relaxed">Lead the team’s investment in modern data infrastructure</li><li class="leading-relaxed">Drive architectural decisions with a long-term view on maintainability, cost, and scalability.</li></ul>Team Leadership & Execution<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead, mentor, and support a team of data engineers; set technical standards and review designs and code.</li><li class="leading-relaxed">Act as a hands-on contributor in critical areas of the system.</li><li class="leading-relaxed">Own planning and prioritization, balancing new investments with platform stability and technical debt.</li><li class="leading-relaxed">Promote a culture of quality, documentation, and operational excellence.</li><li class="leading-relaxed">Partner with Data Analytics and Data Science teams to improve data accessibility, trust, and self-service capabilities.</li><li class="leading-relaxed">Improve observability across the data platform (data quality, freshness, lineage, failures).</li><li class="leading-relaxed">Explore and adopt AI-assisted development tools to improve engineering velocity and code quality.</li><li class="leading-relaxed">Stay current with emerging technologies in data engineering and analytics, and evaluate their relevance to the platform.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">7+ years of experience in Data Engineering, including ownership of production-grade data platforms.</li><li class="leading-relaxed">Proven experience in a technical leadership or lead IC role.</li><li class="leading-relaxed">Strong hands-on experience with Scala and Python.</li><li class="leading-relaxed">Solid experience with AWS, including S3, EC2, EMR, Kinesis, Firehose, Spark</li><li class="leading-relaxed">Strong understanding of event-driven and real-time architectures, even in maintenance-heavy environments.</li><li class="leading-relaxed">Strong experience with Airflow for orchestration of batch and near-real-time data pipelines, including production operations and troubleshooting.</li><li class="leading-relaxed">Deep knowledge of data warehousing and analytics workflows, including SQL.</li><li class="leading-relaxed">Ability to work across teams ( DevOps, IT, Dev, Product, and Analytics ) and translate business needs into technical solutions.</li></ul>Nice-to-Have Qualifications<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with Apache Iceberg or other modern table formats (Delta, Hudi).</li><li class="leading-relaxed">Hands-on expertise with Redshift and/or Vertica, including performance tuning.</li><li class="leading-relaxed">Experience enabling analytics engineering workflows (dbt or similar).</li><li class="leading-relaxed">Exposure to supporting data science workloads in production.</li><li class="leading-relaxed">Strong opinions (and pragmatism) around observability, documentation, and cost management.</li></ul>

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