• Work at the intersection of data engineering and analytics, partnering with analysts and stakeholders across the business to turn raw data into trusted, reusable datasets. • Model data from a broad ecosystem of sources on our central data platform. • Help define and validate key metrics, ensuring the data our models, dashboards, and AI tools depend on is accurate, reliable, and well documented. • Contribute to semantic layer and metric governance, ensuring definitions are consistent, documented, and reliable across reporting surfaces. • Mentor junior and intermediate analytics engineers through code review, pairing, and knowledge sharing.

• Partner with Sales and senior leadership on strategic customer opportunities with AI labs, model development teams, and enterprise AI organizations. • Lead discovery conversations with technical, research, product, operations, and executive stakeholders. • Translate customer requirements into clear solution designs, workflows, pilot plans, proposals, and implementation approaches. • Design solutions across model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows. • Support RFPs, RFIs, proposals, pricing assumptions, and Statements of Work. • Create customer-facing materials including solution narratives, workflow diagrams, pilot structures, and technical explanations. • Work closely with Delivery, Quality, Supply Chain, and Technology teams to ensure proposed solutions are feasible, scalable, and commercially sound. • Support clean handoff from Sales to Delivery, including requirements, assumptions, risks, and success criteria. • Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs. • Stay close to industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI.

Role Description Our client is a European insurtech company providing digital insurance solutions and embedded protection products, enabling seamless integration of insurance offerings into e-commerce and financial platforms across multiple markets. - Design and build high-performance services: - Develop and maintain scalable APIs (gRPC and REST) powering core insurance services. - Own end-to-end delivery: - Drive microservices from requirements gathering, architecture, and implementation through deployment and operational support. - Collaborate cross-functionally: - Work with Product, DevOps, and other teams to translate feature requests into robust, scalable technical solutions. - Champion engineering excellence: - Establish and promote best practices including code reviews, automated testing, observability (tracing, logging, metrics), and CI/CD pipelines. - Ensure compliance and security: - Adhere to security policies, coding standards, and regulatory requirements relevant to the financial and insurance sector. - Optimize for production: - Monitor and improve service reliability, performance, and cost in production environments. Qualifications - Must Have: - 6+ years of backend development experience, with 3+ years working with Golang in production. - Proven track record designing and evolving gRPC and REST-based APIs at scale. - Deep understanding of distributed systems, microservices architectures, and cloud-native patterns. - Hands-on experience with containerization (Docker), orchestration (Kubernetes), and modern DevOps workflows. - Experience with PostgreSQL and message queues (e.g., Kafka, RabbitMQ). - Strong problem-solving skills and a passion for building clean, efficient, and maintainable systems. - Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes. - Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result. - Excellent English communication skills and the ability to thrive in a fast-paced, agile environment. - Nice to Have: - Experience in the insurance, fintech, or broader financial services domain. - Familiarity with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger). - Experience with cloud platforms (e.g., AWS, GCP, Azure). - Knowledge of infrastructure as code (e.g., Terraform, Helm). - German language skills are a plus. Benefits - Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing: - Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club. - Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us. - Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance. - Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.

• Design, develop, and support artificial intelligence, intelligent automation, data engineering, analytics, and operational intelligence solutions across Clean Energy Fuels. • work across the full solution lifecycle—from business requirements and architecture through development, deployment, and support