Data Engineer

🕒 March 25

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Logo of Inetum

Inetum

10,000+ employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Post-IPO Equity on 2007-03

B2B • Enterprise • SaaS

Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.

📋 Description

• Design, implement, and operate MCP and OCR integrations, ensuring the overall stability and performance of the platform. • Focus on developing enrichment integrations for LLM prompt generation. • Optimize platform reliability (performance tuning, DB connection handling, LLM gateway operations, observability, autoscaling).

🎯 Requirements

• Design and implement secure, robust integrations with multiple MCP servers to fetch and aggregate customer data (API clients, batching, connection pooling, retries, rate limiting, caching) and feed enriched context into LLM prompt generation. • Implement and operate OCR integrations for processing attachments (PDFs, images), including tool/API selection, preprocessing, quality handling, and text integration into mail classification and prompt pipelines. • Ensure secure handling of customer and PII data used in LLM workflows. • Scale and performance‑tune GenAI Python microservices running in Kubernetes. • Improve PostgreSQL session and connection management, including detection and resolution of connection leaks. • Operate and harden the LLM‑Gateway (LiteLLM), implementing load balancing, throttling, and fallback strategies required by GenAI mail‑processing workflows. • Implement and maintain observability for enrichment and platform workflows (metrics, traces, structured logs) and contribute to runbooks. • Optional participation in on‑call rotation. • Hands‑on experience with Kubernetes, Helm, and Docker. • Strong experience integrating backend APIs, including authentication (tokens/OAuth/OIDC), retries, rate limiting, and caching. • Practical experience with OCR tools/APIs or document‑processing pipelines. • Solid Python skills for integration and troubleshooting (FastAPI, Django, Pydantic). • Familiarity with PostgreSQL connection handling and basic tuning. • Exposure to observability tools (Prometheus, Grafana, ELK). • Strong understanding of data privacy and PII handling in production environments.

🏖️ Benefits

• Attractive financial benefits: A cafeteria system that allows employees to personalize benefits by choosing from a variety of options. • Generous referral bonuses, offering up to PLN6,000 for referring specialists. • Additional revenue sharing opportunities for initiating partnerships with new clients. • Professional development and team support: Ongoing guidance from a dedicated Team Manager for each employee. • Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs. • Community and Well-Being: Dedicated team-building budget for online and on-site team events. • Opportunities to participate in charitable initiatives and local sports programs. • A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

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