Salary
$66k – $82k per year (net)
Location
Hybrid (Warsaw, Poland)
Seniority
Senior · 5+ years exp
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026. Cyclad scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Cyclad is a Polish technology consulting and recruitment company that supplies engineers and specialists to clients across Europe, with a focus on aviation, automotive, energy and financial services. Its work spans permanent and contract placement, managed engineering teams and outsourced delivery, covering software development, embedded engineering, quality assurance, infrastructure and business analysis. Headquartered in Warsaw with offices elsewhere in Poland and western Europe, it advertises a large volume of client vacancies under its own name and recruits across several European labour markets at once.
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
Project scope:
- 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
Competence demands:
- 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
Nice to have:
- LangGraph, Semantic Kernel, or similar agentic AI frameworks
- Experience with CRM, Order-to-Cash, Billing, or Commercial domains
- SAFe and Agile delivery at scale
We offer:
- 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
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