Jobs at accesa.eu

Defines and manages digital product requirements for a financial insurance platform. Responsibilities include backlog and roadmap prioritization, discovery workshops, process optimization, user stories, acceptance criteria, API and integration requirements, data flows, stakeholder alignment, UAT, integration testing, application support, training, adoption, and continuous improvement.

Design and develop SharePoint Online and Microsoft 365 applications using SPFx, React, and TypeScript. Build custom web parts, extensions, and integrations with Microsoft Graph, REST APIs, Entra ID, and Azure services. Ensure scalable, secure, maintainable solutions while collaborating with customers, stakeholders, business analysts, and architects. Contribute to engineering standards, Agile delivery, knowledge sharing, mentoring, and responsible use of AI productivity tools.

Analyze large-scale e-commerce search, ranking, recommendation, and personalization data. Define KPIs, build end-to-end metrics layers from event data and search logs, evaluate experiments, and identify product improvements. Collaborate with Product, Data Science, MLOps, and ML/Search Engineering teams while leading analytical initiatives and delivering measurable business impact.

Manage enterprise file services, including CIFS/SMB and NTFS, while administering Active Directory permissions and group access. Develop PowerShell and Automic automation, support migration and integration initiatives, troubleshoot complex workplace infrastructure issues, and improve operational processes. The role requires advanced file services, directory services, scripting, SQL Server, and enterprise on-premises infrastructure experience.

Build and evolve a secure self-service platform that provisions Databricks workspaces for banking clients. Develop Terraform-based Azure infrastructure, Airflow orchestration, data synchronization pipelines, and governance integration between on-premises systems and cloud environments. Collaborate with client engineering teams, take technical ownership, and participate in quarterly on-site planning sessions in Germany.

Build and shape GenAI solutions using AI agents, LLMs, Python, Databricks, and lakehouse architectures. Responsibilities include agent orchestration, data engineering, knowledge modeling, ontology development, web data extraction, and integration with Databricks capabilities. The role owns technical architecture and delivery, evaluates evolving tools and frameworks, develops production-quality software, and collaborates on design decisions and continuous improvement.

Conduct hands-on experimentation with AI agents, LLM integrations, evaluation methods, and AI-assisted development. Define hypotheses, assess model outputs and failure modes, document findings, and translate research into engineering recommendations and organization-wide AI SDLC standards. The role also involves prototyping, architecture discussions, consulting, and collaboration with delivery teams to support practical AI adoption.

Embeds with client and internal teams to identify, implement, and operationalize AI tools, agentic solutions, and AI-assisted software practices. Assesses business and engineering needs, integrates AI into software delivery workflows, leads enablement sessions, supports adoption, measures outcomes, and develops reusable rollout guidance. The role requires strong production software engineering, stakeholder consulting, AI system evaluation, CI/CD, observability, troubleshooting, and responsible AI awareness.

Provide SAP FI/CO application management, functional consulting, customizing, configuration, incident resolution, and operational support. Optimize GL, AP, AR, payments, workflows, invoice processes, and company-code integrations. Support data migration using LSMW, New GL and Business Partner integration, cross-module interfaces, and preparation for SAP S/4HANA transformation. Translate business requirements into SAP solutions while collaborating with German-speaking business and technical stakeholders in a regulated financial-services environment.

Lead design and implementation of Java 17 backend applications and microservices. Ensure high-quality, tested code, collaborate with DevOps for containerized CI/CD deployments, use event-driven architectures (Kafka), optimize relational DB interactions, mentor engineers, run reviews, and responsibly apply AI coding tools to accelerate development.

Develop and maintain high-performance Angular front-end applications used by bank tellers for cash transactions. Deliver reliable, well-tested code, troubleshoot performance issues, collaborate with cross-functional teams, provide technical consultancy, drive improvements and mentor junior colleagues.

Design, develop, and maintain Java-based backend microservices with Spring Boot. Implement RESTful APIs, optimize SQL/database interactions, use event-driven architectures (Kafka), containerize with Docker/Kubernetes, integrate CI/CD, leverage AI code companions, perform code reviews, participate in architecture discussions, and mentor junior developers.

Serve as the bridge between business and IT for an insurance client: define product vision, translate requirements into user stories/pseudocode, prioritize backlog, model and optimize processes, validate releases and regression testing, enable stakeholder collaboration, promote continuous improvement, and mentor other Business Analysts.

Lead migration of enterprise data warehouse workloads from Teradata to BigQuery. Design, build, and optimize BigQuery data transformation pipelines (Dataform/SQL), own and document the Common Data Model, validate KPIs, ensure data quality via testing/reconciliation, improve performance and cost, and support onboarding and governance across teams.

Lead BI strategy and a small BI team to establish KPI governance, certified 'gold' datasets, faster predictable BI delivery, self-service (Tableau) adoption, proactive alerts/insights, and AI-ready data foundations while partnering with business and control functions.

Design, build, and operate production-grade Python backend services and APIs; develop data processing pipelines (batch/streaming); integrate external and AI services; work with AWS, databases, messaging systems, and CI/CD; improve observability, reliability, and performance; debug multi-service production issues and collaborate across mobile, DevOps, and product teams.

Design, build, and operate high-performance Go microservices and scalable gRPC/REST APIs. Lead system-level delivery, mentor engineers, enforce testing/observability/CI-CD best practices, troubleshoot production incidents, and embed security and compliance for financial/insurance services.

Design, build, and operate high-performance Go microservices (gRPC/REST). Own end-to-end delivery from architecture to production, collaborate with Product and DevOps, enforce engineering best practices (testing, code review, observability, CI/CD), ensure security and regulatory compliance, and optimize reliability, performance, and cost.