Senior Data & AI Engineer

Quick Facts

• Role: Senior Data & AI Engineer

• Domain: Travel technology / Lead-to-Cash Digital Transformation

• Work model: Hybrid (2 days office / 3 remote)

• Location: Al. Jerozolimskie, West Station

• Language: English

• Project length: until 12.2027

• Start date: ASAP

• Rate: 130–160 PLN/h net on B2B (depending on experience)

Description

You will design and maintain data models, analytics datasets, semantic layers, and data pipelines, adapting existing analytics connections for L2C target systems while preserving reporting continuity. You will build automated data quality frameworks and monitoring, and discover, prototype, and deploy AI and Generative AI solutions using enterprise data (including analytics assistants and retrieval-based applications). The work includes applying ML techniques, collaborating with business/product teams, and ensuring compliance with data governance, security, privacy, and Responsible AI.

Responsibilities

• Design and maintain data models, semantic layers, and data pipelines

• Adapt analytics connections and developments to L2C target systems and test critical reports for transition continuity

• Build and operate automated data quality frameworks, monitoring, and reconciliation

• Identify and qualify AI opportunities; prototype rapidly with measured results

• Develop AI and Generative AI solutions (analytics assistants, data-quality agents, retrieval-based apps)

• Apply ML techniques: anomaly detection, duplicate detection, entity matching, classification

• Translate business/product requirements into scalable technical solutions

• Ensure compliance with data governance, security, privacy, Responsible AI

• Create reusable components, documentation, and best practices

Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, BI, or related

• Enterprise-scale data delivery in transformation or migration programs

• Proven track record deploying at least one AI/ML solution into production

• Advanced SQL and data modeling (dimensional and semantic)

• Data pipeline and ELT development and orchestration experience

• Python for data engineering, automation, and AI solutions

• Salesforce data integration, including Salesforce Data Cloud and API/event-driven integration

• Data quality, governance, reconciliation, and master data management

• BI/analytics platforms experience (e.g., Qlik), including scripting and report regression testing

• Generative AI engineering on enterprise data: RAG, prompt engineering, evaluation of model output, cloud AI platform

• Data security, privacy, and Responsible AI practices

• Very good English

Benefits

• Hybrid working model

• Dynamic, innovation-driven engineering environment

• Full-time B2B agreement

• Private medical care with dental care (70% covered)

• Multisport card (also for accompanying person)

• Life insurance