Jobs at Hiflylabs

Supports business operations through data organization, analysis, process improvement, automation, AI experimentation, troubleshooting, and data quality checks. The intern will use tools such as spreadsheets, AI assistants, APIs, and workflow integrations to reduce manual work and improve operational efficiency. The role also involves communicating with colleagues, investigating issues, following established processes, and identifying practical improvements.

Lead international presales for data platform consulting, partnering with Sales, architects, and delivery teams to shape solutions, define scope, estimate costs, assess risks, and win projects. Build client relationships, lead proposals and negotiations, ensure effective handoffs to delivery, and occasionally sponsor or lead projects. Contribute to business-unit leadership, cross-functional collaboration, and team development while serving primarily English-speaking clients.

Own the architecture and production delivery of LLM, RAG, agentic, and classical ML systems. Design scalable solutions on Databricks and cloud platforms, optimize latency, cost, reliability, and performance, and implement evaluation, monitoring, CI/CD, rollback, and versioning. Translate client needs into end-to-end AI architectures, contribute to presales, lead technical decisions, and mentor team members while defining GenAI and ML best practices.

Lead end-to-end data science and AI/ML projects, including machine learning, deep learning, NLP, LLM, and generative AI solutions. Engage clients to translate business objectives into technical requirements, support pre-sales discussions, integrate AI capabilities into products, and provide technical leadership and mentorship. Build scalable models using cloud platforms and contribute to production deployment and innovation.

Provide post-sales technical leadership for strategic customers implementing Databricks and big data solutions. Design production architectures, optimize end-to-end pipelines, guide data engineering and model deployment, identify data-value initiatives, and deliver training, tutorials, hackathons, and presentations. The role requires advanced Apache Spark and Databricks expertise, cloud experience, strong programming skills, customer-facing consulting ability, and business-fluent English and German.

Build and lead Hiflylabs’ People function, strategy, governance, and organizational development initiatives. Partner with senior leadership on culture, growth, change management, talent, succession, performance, compensation, career paths, recruitment, employer branding, and compliance. Lead the People Advisor team, support the mentoring framework, advise managers, and develop scalable systems for an international, distributed organization without taking over payroll or line-management responsibilities.

Lead customer-facing architecture, design, and implementation of production big data workloads on Databricks. Guide strategic customers through data engineering, model deployment, performance optimization, and technical roadmaps. Develop initiatives aligned with business goals, deliver training and tutorials, and present at hackathons or conferences. The role requires advanced Apache Spark and Databricks expertise, cloud experience, programming skills, and strong stakeholder communication.

Lead enterprise-wide data platform implementations on Databricks from ingestion through Medallion architecture and modern BI or agentic AI consumption layers. Manage delivery, Scrum ceremonies, budgets, compute costs, risks, scope, technical backlogs, and stakeholder alignment. Partner with Product Owners and Data Architects while guiding data engineering and data science teams and translating C-level business requirements into technical execution.

Manage and migrate ETL pipelines across source systems, validate pipeline builds and data quality, resolve pipeline issues and data discrepancies, support data migration, and provide operational support in Snowflake. Collaborate with business stakeholders and data subject-matter experts, maintain team best practices, document work, and track handovers.

This position invites you to express your interest in future opportunities and connect with the organization for potential roles, aligning your motivations with their projects.

The Business Analyst will map business needs, create specifications for IT projects, liaise between stakeholders and development teams, and define metrics for product performance.

The DevOps Engineer will design, develop, and deploy development tools and infrastructure, automate processes, ensure security and compliance, and assist with incident management and microservices integration.

Design and implement data architectures, lead projects, collaborate with stakeholders, mentor teams, and ensure code quality.

The Sales and Marketing Representative will drive market entry and revenue in the U.S. through outbound sales, client engagement, proposal negotiation, and marketing strategies focused on AI and data consulting solutions.

The role focuses on creating and implementing Data & AI strategies, advising executives, and managing projects to drive AI adoption and business growth.

Advise clients on data-driven decision-making, lead discovery and solutioning, define KPI and semantic models, and design and build executive and tactical Power BI dashboards. Drive reporting governance, translate analysis into clear visual narratives, coordinate cross-functional teams, and use AI tools to improve analytical and consulting workflows.

Build end-to-end web applications across frontend and backend. Lead technical decisions, implement scalable solutions, integrate frontends with REST APIs, use Python backends and Databricks, write unit/integration/end-to-end tests, deploy to cloud using Docker and CI/CD, and collaborate with designers, customers, and engineers to ensure timely, high-quality feature delivery.

Lead architecture and hands-on development of cloud-native AI web applications. Design end-to-end solutions integrating LLMs, vector search/RAG, real-time data, and scalable backend services. Implement model serving, RAG pipelines, AI agents, and ensure quality via testing and CI/CD while leading cross-functional engineering teams and translating business requirements into production-ready systems.

Senior customer-facing role designing and implementing large-scale Databricks/Spark data platforms. Provide technical leadership post-sales, architect production workloads, optimize pipeline performance, deliver training and presentations, and drive initiatives that turn data into business value while mentoring and supporting clients.

Design, build, and optimize scalable Databricks Lakehouse solutions and Delta Lake pipelines across cloud platforms. Implement governance with Unity Catalog, automate deployments via DABs and CI/CD, write SQL/Python code, integrate APIs, and manage Databricks workspace automation. Own technical delivery components, collaborate with stakeholders, and create technical documentation.