Senior Data & AI Engineer

Nasze wymagania:
5+ years of experience in Data Engineering, Analytics Engineering, BI, or a related field
Experience delivering enterprise-scale data initiatives within transformation or migration programs
Proven track record of deploying at least one AI/ML solution into production
Advanced SQL and data modeling (dimensional and semantic) with data pipeline and ELT development and orchestration
Python for data engineering, automation, and AI solutions
Salesforce data integration, including Salesforce Data Cloud and API-based or event-driven integration
Data quality, governance, reconciliation, and master data management.
BI and analytics platforms (such as Qlik), including scripting standards and report regression testing
Generative-AI engineering on enterprise data: retrieval-augmented generation, prompt engineering, evaluation of model output, and a cloud AI platform
Data security, privacy, and Responsible AI practices
Very good English

Mile widziane:
LangGraph, Semantic Kernel, or similar agentic AI frameworks
Experience with CRM, Order-to-Cash, Billing, or Commercial domains
SAFe and Agile delivery at scale

O projekcie:
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. Our client works at the heart of the global travel industry and provides the technology that keeps the travel sector moving. We’re currently seeking an experienced Senior Data & AI Engineer to join Lead to Cash (L2C) Digital Transformation team in Warsaw.
Project information:
Industry: Travel technology
Type of project: IT Services
Office location: Al. Jerozolimskie, West Station
Work model: hybrid, 2 days per week in the office/ 3 remote
Budget: 130 – 160 PLN/h net on b2b – depending on candidate’s experience
Project language: English
Project length: till 12.2027
Start date: ASAP

Zakres obowiązków:
Design and maintain data models, analytics data sets, semantic layers, and data pipelines
Adapt existing analytics connections and developments to the L2C target systems (including Salesforce Greenfield and the target billing and transactional systems), and secure reporting continuity through each transition, including testing of critical reports
Build and operate automated data quality frameworks, monitoring, and reconciliation processes
Identify and qualify AI opportunities within the data, analytics, and content roadmap and backlog, and test them through rapid prototypes with measured results
Develop AI and Generative AI solutions, including analytics assistants, data-quality agents, and retrieval-based applications
Apply AI and machine learning techniques such as anomaly detection, duplicate detection, entity matching, and classification
Collaborate with business and product teams to translate requirements into scalable technical solutions
Ensure compliance with data governance, security, privacy, and Responsible AI standards
Create reusable components, documentation, and best practices to support wider adoption of data and AI capabilities

Oferujemy:
Hybrid working model
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance