Senior Data & AI Engineer – Lead to Cash (L2C)

Project overview

Adapt existing analytical solutions and data integrations to target L2C systems, including the new Salesforce environment and target billing and transactional systems.

• Design, develop, and maintain data models, analytical datasets, data pipelines, and semantic layers for the Lead-to-Cash (L2C) area.
• Ensure continuity of reporting and analytics during system transformation, including testing and verifying the correctness of key reports.
• Prepare data for the implementation of new L2C functionalities, assess their quality and completeness, and plan data cleansing activities.
• Design and implement automated data quality control mechanisms, monitoring, alerting, and data reconciliation with internal and external reference sources.
• Support Master Data Management and ensure data consistency and a single source of truth.
• Identify and develop opportunities for using AI in the data, analytics, and content management areas – from rapid prototypes to implemented business solutions.
• Build and maintain AI solutions based on managed L2C data, such as analytical assistants, agents supporting data quality control and reconciliation, or information retrieval services.
• Utilize AI and machine learning techniques for anomaly detection, duplicate and inconsistency identification, record matching, classification, and missing value imputation.
• Collaborate with Business Process Owners (BPO), product teams, and the Go-To-Market organization to gather and refine requirements for data, analytics, and AI.
• Assess technical feasibility, estimate effort, and translate business requirements into technical specifications, epics, and functionalities.
• Define success metrics for implemented solutions and monitor their usage and business value.
• Collaborate with data architects to assess the impact of new solutions on the data model and to identify risks, dependencies, and potential implementation gaps early on.
• Ensure implemented solutions comply with security policies, data protection, and responsible AI usage.
• Document data flows, transformation logic, applied models, and control mechanisms.
• Create reusable components, standards, and documentation, and support the development of data and AI competencies within L2C teams.
• You have 5 years of experience in data engineering, analytics engineering, or Business Intelligence solution development, working with data in a corporate environment.
• You have experience in implementing transformation or system migration projects in large organizations, requiring collaboration with multiple stakeholders.
• You have practical experience in delivering at least one AI or machine learning solution that has gone beyond the prototype stage and has been implemented for use.
• You are very proficient in SQL and Python and can use them for data processing, integration, and analysis.
• You have experience in designing data models, including dimensional and semantic models.
• You can design and develop data pipelines and ELT processes, as well as manage their orchestration.
• You are familiar with data quality concepts, profiling, creating validation rules, monitoring, quality reporting, and data reconciliation.
• You have experience in creating BI and analytical solutions, including regression testing of reports.
• You can integrate systems using APIs and event-driven architecture.
• You understand the principles of responsible AI usage and issues related to data protection, security, and regulatory compliance in a corporate environment.
• You are comfortable working with agile methodologies and in large project structures.
• You are characterized by analytical thinking, accuracy, and responsibility for the quality of delivered solutions.
• You can collaborate with various teams, understand business needs, and translate them into concrete technical solutions.
• You communicate fluently in English, both spoken and written.
• Knowledge of Salesforce Data Cloud.
• Experience working with cloud platforms and AI services.
• Practical knowledge of Generative AI (GenAI), Retrieval-Augmented Generation (RAG) technologies, and prompt engineering.
• Experience in building AI agents and solutions based on LangGraph or Semantic Kernel frameworks.
• Knowledge of Qlik tools and experience in creating analytical and reporting solutions.
• Experience in implementing mechanisms for automatic AI model evaluation, monitoring their operation, applying guardrails, and cost control.
• Knowledge of CI/CD practices in the context of data and AI solutions.
• Experience in Master Data Management, data reconciliation with industry registers and other external reference sources.
• Knowledge of SAFe, Program Increment (PI) planning, and product backlog management.
• Experience in creating standards, technical documentation, and reusable components, and sharing knowledge with other team members.

Project details

• Start: ASAP
• Location: Warszawa, PL
• Rate: 130-170 EUR/h
• Languages: Polish, English