Senior Data & AI Engineer

Quick Facts

• Role: Senior Data & AI Engineer

• Work setup: Hybrid (50% remote / 50% Warsaw office)

• Focus: Data engineering, analytics engineering, and AI/Generative AI delivery

Description

You will combine data engineering, analytics engineering, and AI engineering to design and maintain enterprise data models, datasets, and pipelines. The role includes ensuring data quality and reporting continuity during system transformations and developing production AI solutions based on governed enterprise data.

Responsibilities

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

• Develop and optimize ELT/data integration processes

• Support data migration and integration with target enterprise systems

• Ensure continuity and reliability of reporting throughout system transformations

• Build automated data-quality rules, monitoring, alerts, and reconciliation processes

• Identify data inconsistencies, duplicates, anomalies, and missing values

• Develop and productionize AI and Generative AI solutions using enterprise data

• Build solutions such as RAG-based applications, analytics assistants, data-quality agents, and content retrieval services

• Implement AI evaluation, monitoring, guardrails, and cost controls

• Use ML techniques for anomaly detection, entity matching, classification, and duplicate detection

• Translate business requirements into scalable technical solutions

• Define success metrics and measure the business value of delivered data and AI capabilities

• Document data lineage, transformation logic, AI solutions, and technical controls

• Create reusable data and AI components and share best practices

Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, or BI Development with enterprise-scale data

• Experience working within large transformation, migration, or multi-stakeholder programs

• Hands-on experience delivering at least one AI/ML or Generative AI solution beyond the prototype stage

• Advanced SQL

• Strong data modelling experience, including dimensional and semantic models

• Experience building and orchestrating data/ELT pipelines

• Strong Python for data engineering, automation, and AI

• Experience with Salesforce data and integrations, including Salesforce Data Cloud and API-based or event-driven integrations

• Strong understanding of data quality, profiling, reconciliation, monitoring, and master-data practices

• Experience with BI and analytics platforms such as Qlik (scripting and report regression testing)

• Practical Generative AI knowledge: RAG, prompt engineering, LLM output evaluation, cloud-based AI platforms

• Understanding of data privacy, security, and Responsible AI in enterprise environments

• Fluent English (written and spoken)

Benefits

• Comprehensive benefits: Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, shopping vouchers

• Flexible working hours with remote/hybrid work options

• Career growth through professional development and learning, including partnerships with Microsoft, AWS, Snowflake, Salesforce, and more

• Global collaboration with an international team

• Innovative, forward-thinking and growth-oriented environment

• Community and team-building events, hackathons, and CSR initiatives

• Annual team-building event and a welcome pack