Data Engineer

We are looking for a GenAI/LLM-oriented engineer to join the team building and operating the Data Packaging Framework within the Availability Layer, transforming source data into canonical messages for end-to-end delivery and provisioning of Data Products across domains. A key part of the role is to embed AI into the engineering lifecycle - enhancing automation and quality gates around schema evolution, validation, publishing and end-to-end testing, including AI-driven review steps already present in the canonical-message pipeline approach. Key Responsibilities Build and evolve LLM/agent-assisted workflows that improve developer productivity and reliability in data pipeline delivery (e.g., PR automation, quality gates, assistive tooling). Implement and enhance AI-supported schema review and governance gates as part of canonical message lifecycle automation. Drive AI-supported test automation, including automated E2E test generation and quality validation approaches. Develop and maintain data packaging pipelines transforming source-specific data into canonical message formats aligned with DRA 3 / Availability Layer patterns. Build and manage SQL-based transformation logic and configuration-driven pipelines. Support the canonical message schema lifecycle: validation, versioning, compatibility checks, and publishing workflows. Contribute to framework releases, operational stability, documentation, and Architecture Decision Records (ADRs). Requirements Strong AI / GenAI capability. Hands‑on experience building LLM-powered automation for engineering workflows (e.g., review gates, quality checks, assistant tooling for dev/test/docs). Experience with AI-assisted review/approval flows and integrating AI steps into CI/CD-style pipelines. Experience with AI-assisted test generation / test automation concepts. Strong engineering discipline around quality and safety for AI outputs (evaluation mindset, reproducibility, traceability). Strong experience in data engineering and distributed processing; practical delivery mindset. Hands‑on experience with Kafka and SQL-based transformations. Experience with batch/stream processing frameworks (e.g., Flink or Spark). Familiarity with schema formats and lifecycle (e.g., JSON/Avro/XSD) and versioning/compatibility concepts. Experience working with Git workflows and Kubernetes environments. CI/CD and build pipeline experience (Bazel + Tekton). Nice to have Experience with Data Reference Architecture / data product model. Knowledge of Airflow, Snowflake, Iceberg, or similar data platforms. Exposure to data governance, metadata, and lineage concepts. Experience in banking or other regulated environments. We Offer A full-time contract (B2B also possible). Stable and long-term cooperation. A well-defined career path at the European leader in engineering & IT consulting. Participation in company conferences, trainings, workshops, and integration meetings. Certification and training opportunities. Opportunity to relocate and work in different ALTEN Polska branches. After project completion, the opportunity to engage in a subsequent project within the company. Introduction and cooperation with a dedicated Business Development Manager. Benefits (Contract of Employment) Medicover medical care. Medicover Benefits platform / Medicover Sport card. Employee referral program. Layette for a newborn employee’s child. Group life insurance. #J-18808-Ljbffr