We are looking for an experienced Senior Data Software Engineer to play a key role in designing, developing, and maintaining scalable data systems and pipelines.
responsibilities
Build, optimize, and maintain data processing pipelines to handle large-scale datasets
Develop software solutions to integrate, transform, and analyze data effectively
Collaborate with cross-functional teams, including data scientists, analysts, and cloud architects, to deliver high-quality solutions
Ensure the reliability, scalability, and security of data systems
Leverage cloud platforms to deploy and manage data solutions
Work with distributed computing technologies like Apache Spark to process and analyze large datasets
Monitor and debug systems, resolving issues, and optimizing performance
Document technical processes and ensuring adherence to best practices
Stay updated with the latest advancements in data engineering tools, frameworks, and technologies
requirements
3+ years of experience in a data engineering role
Proficiency in Python, with solid experience developing robust and scalable code
Hands-on experience with cloud platforms (e.g., AWS, Microsoft Azure, or Google Cloud Platform) for deploying and managing data solutions
Expertise in working with Apache Spark/PySpark for large-scale data processing
Strong understanding of data modeling, ETL processes, and database design
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Knowledge of version control systems such as Git
Excellent command of professional English (B2 level), both written and verbal, to effectively communicate with the engineering team
nice to have
Experience with workflow orchestration tools (e.g., Apache Airflow)
Familiarity with machine learning pipelines and tools
Knowledge of CI/CD processes for automating deployments
We are looking for an AI Delivery Manager to lead end-to-end delivery of AI and Data projects — from discovery to production. You will be accountable for project success, combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies. You will focus on three categories of projects: GenAI Product development, ML Product development, and AI Platform enablement. Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate with top experts, and shape the next generation of intelligent solutions.
responsibilities
Act as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered value
Manage full lifecycle of AI initiatives (GenAI, ML)
Own delivery scope, schedule, quality, and budget
Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders
Act as main delivery contact for clients; build trusted relationships
Oversee risk, financials, and contract adherence
Ensure compliance with legal, ethical, and security standards in AI
Mentor team members and promote delivery excellence and engineering excellence
requirements
Strong client-facing, risk management, and stakeholder communication skills
3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)
3+ years of previous experience as an engineer (e.g., data scientist, machine learning engineer, data engineer, devops, Python engineer)
Solid understanding of GenAI and ML technologies, and data management fundamentals
Experience with at least one major cloud provider (AWS, Azure, GCP, Databricks)
Ability to lead cross-functional, distributed teams
Ability to enforce engineering excellence and work closely with solution architects
We are seeking an exceptional Data Analytics Principal/Director to serve as a trusted partner to senior client executives (CTOs, CIOs, Managing Directors, Regional VPs) in Financial Services organizations. This role combines three critical capabilities: deep data and AI technology knowledge, strong consulting acumen, as well as a proven track record in program/delivery management. You will lead our Financial Services Offering portfolio in Europe, including buildout of capabilities, teams, and go-to-market strategies in partnership with other EPAM teams, and spearhead key engagements from sales, consulting, and delivery oversight perspective. If you can go beyond PowerPoint and guide senior executives through complex data transformation initiatives by deep diving into their Enterprise IT & Data landscape and offering them optimal solutions, then this role is ideal for you!
responsibilities
Partner with client executives on key Data & AI initiatives, such as data strategy, enterprise-wide platforms build, and AI transformations
Actively contribute to the development and evolution of Financial Services D&A offerings, act as a go-to person in the region
Nurture opportunities; own RPF/RFQ/RFI responses, including winning strategy, formal response structure, and storytelling
Manage the FS project portfolio, provide regular delivery oversight for key engagements
Build and maintain long-term client relationships centered around value delivery
Lead initial phases of strategic engagements, including setting up program vision and definition of success, forming the right team, and establishing governance
Consult delivery teams on regulatory and compliance requirements in the financial sector context
Coach and mentor next-gen consultants in FS D&A
requirements
15+ years of progressive experience in data technology and consulting
Prior experience in management roles (Senior manager / Director / Senior director) at financial institutions, consulting agencies, or similar advisory organizations supporting financial services clients
A degree in Computer Science, Information Technology, Applied Mathematics, or similar quantitative fields is highly valued
Consultative Background: Client-facing expertise with the ability to position services, lead C-level discussions, and function as a trusted advisor to senior stakeholders
Data Technology Expertise: Experience with at least one major cloud environment (AWS, Azure, GCP), including implementation track record. Familiarity with Databricks and other cloud-agnostic data platforms.
Production experience: Leading discovery phases, establishing program governance, and managing complex data delivery programs
Financial Services Domain Knowledge: Proven experience in banking (investment banking or core banking) with an understanding of data models, processing systems, and regulations. Familiarity with key banking KPIs and data structures
Knowledge of industry-specific compliance and regulatory frameworks (Basel 2/3, BCBS 239, AML/AFC); understanding of risk management, CRO office operations, etc.
Data Architecture: Understanding of data modelling, different data lifecycle management approaches, and real-time processing.
Data Governance: understanding of data governance principles, computational governance, data catalogs, and observability frameworks
Enterprise Architecture: demonstrated ability to lead technical discussions on an enterprise scale with senior stakeholders
Computer Science Fundamentals: Solid knowledge of information theory, algorithms, data structures, search algorithms, etc.
We are seeking an End User Support Engineer to join our Prague office, providing technical assistance and ensuring seamless IT operations for our end users.
responsibilities
Provide technical support to end users on hardware and software issues
Interact with cross-functional teams to resolve technical problems
Oversee Digital Workplace Services, including endpoint devices, software and Office IT Infrastructure
Ensure performance of Local Area and Wireless networks, switch room maintenance and IT infrastructure connectivity
Apply intermediate knowledge in end-user support technologies and practices, including operating systems, office productivity software, email clients and remote support tools
Deliver friendly and efficient service to end-users, ensuring satisfaction and positive interactions
Communicate technical information in an understandable manner to non-technical users
requirements
1+ years of experience as a support engineer
Advanced background in Windows Endpoint Administration
Has experience in MacOS Endpoint Administration
Advanced background in Microsoft Office troubleshooting (Outlook, Teams etc.)
We are seeking a Senior SAP MM Retail Consultant to join our driven team and play a pivotal role in implementing SAP S/4HANA solutions for a midsize fashion retail company. If you have extensive experience in SAP MM, including greenfield S/4 HANA implementations, and a strong background in retail solutions, we want to hear from you. The position may also involve bi-weekly business trips to Berlin.
responsibilities
Lead and support SAP MM module implementations and enhancements, with a strong focus on Inventory Management (IM), Material Valuation & Accounting Integration, Split Valuation and Purchase-to-Pay (P2P) cycle
Analyze business requirements and design effective SAP MM solutions aligned with organizational needs
Configure and maintain structures, data integration, and master data, including purchasing groups, material master, and vendor master data
Collaborate with FI, SD, and WM teams to ensure seamless integration of cross-functional processes
Design and implement pricing procedures, release strategies, and material inventory processes like goods movements and stock transfers
Set up automatic account determination and valuation classes for accurate financial integration
Implement and manage complex split valuation scenarios, including batch and origin-based valuation
Develop and refine procurement workflows and inventory management processes
Conduct unit, integration, and regression testing of SAP MM functionality
Provide post-go-live production support, manage incidents, and resolve service requests efficiently
Prepare detailed functional specifications for custom development in collaboration with ABAP developers
Train end users and create comprehensive documentation and user training materials
Participate in SAP rollouts, system upgrades, and continuous improvement initiatives
requirements
3+ years of working experience in SAP MM implementations, upgrades, and production support
Proficiency in SAP MM module with expertise in Inventory Management Processes, Material Valuation, and Purchasing
Expertise in SAP S/4HANA greenfield implementations and migration projects
Background in SAP Retail or SAP S/4HANA retail-related solutions for the fashion or midsize retail industry
Familiarity with procurement workflows, including Purchase-to-Pay (P2P), automatic account determination, and pricing procedures
Capability to configure and enhance material master data and vendor master data in alignment with business structures
Competency in cross-functional process integration across FI, SD, and WM modules
Showcase of hands-on implementation experience with split valuation scenarios and complex inventory strategies
Skills in testing SAP configurations, including unit, integration, and regression testing
Understanding of SAP rollout projects, training delivery, and creating user documentation
English language proficiency at an Upper-Intermediate level (B2) or higher
nice to have
Familiarity with retail industry-specific processes such as seasonal catalog management and promotions
Background in supporting fashion retailers through digital transformation projects
We are looking for an AI Software Engineer to make our team even stronger! You will design and maintain AI applications, build reliable data pipelines, improve and test AI systems, and collaborate with clients to implement the latest AI technologies.
responsibilities
Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models
Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations
Conduct research and rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes
requirements
3+ years of hands-on experience in AI Engineering
Strong proficiency in Python, experience with web frameworks like FastAPI or similar
Understanding of the AI application development lifecycle
Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
Proven experience in AI engineering and delivering ML-based solutions
Strong problem-solving skills and attention to detail
Excellent communication, collaboration, and interpersonal skills
English level of minimum B2 (Upper-Intermediate)
nice to have
Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks, or Google Agents Space, or Azure AI Foundry
Experience with observability and monitoring tools and frameworks
We are looking for an experienced Python Developer to join the team responsible for developing web business systems. The candidate will work in a medium-sized team and collaborate with diverse skill sets to perform ongoing development and maintenance and ensure regular communication with client managers and the development team.
responsibilities
Develop and maintain Python-based web applications
Address deployment issues and ensure smooth functioning of web systems
Participate in regular meetings with client managers and the development team to discuss project progress and provide updates
Contribute to the overall design and architecture of GenAI solutions
Troubleshoot and debug production issues, ensuring timely resolution
We are looking for a Senior Data Integration Engineer to strengthen our team. As a Data Integration Engineer, you will be responsible for designing, implementing, and maintaining robust data integration solutions that ensure seamless data flow.
responsibilities
Design and implement Data Integration solutions
Implement ETL (Extract, Transform, Load) processes to ensure the availability, quality, and consistency of data
Collaborate with cross-functional teams, including data engineers, data analysts, and business stakeholders, to define integration requirements and deliver solutions
Document technical designs, workflows, and processes for internal and external stakeholders
Maintain data security, integrity, and compliance across all integration solutions
requirements
At least 3 years of relevant development experience and practice with data management, data storage, data modeling, data analytics, data migration, and database design
In-depth understanding of ETL/ELT processes, data modeling, and data warehousing concepts
Strong programming skills in Python with experience in developing scalable and efficient code for data processing and integration
Practical hands-on experience in developing Data Solutions in at least one major public cloud environment (AWS, Azure, GCP)
Practical knowledge of leading cloud data warehousing solutions (e.g., Redshift, Azure Synapse Analytics, Snowflake, etc.)
Advanced knowledge of Data Integration tools (e.g., Azure Data Factory, AWS Glue, etc.)
English level of minimum B2 (Upper-Intermediate) for effective communication
We are looking for a talented SAP Logistics Architect to join our innovative team. This role offers an exciting opportunity to design and deliver cutting-edge SAP solutions, focusing on optimizing logistics processes, driving business value, and engaging in transformative technology-driven projects.
responsibilities
Lead SAP project governance, including business requirements adjustment, fit-gap analysis, root cause analysis, and organizational change
Define and align business, data, application, and technical architectures for logistics domains
Oversee architecture governance to ensure alignment and consistency across organizational units
Identify opportunities to optimize SAP logistics implementations and address solution gaps
Adjust and develop functional requirements, creating blueprints for SAP logistics transformation
Present tailored SAP features and innovations to align with customer-specific needs
Foster strong customer relationships, providing strategic advisory support throughout the engagement lifecycle
Proactively introduce SAP innovation to solve logistics-related business challenges
Contribute to customer roadmaps for logistics process improvements with a focus on SAP S/4HANA solutions
Deliver accurate work effort estimates for SAP configurations and process transformations
Share specialized knowledge through training and collaborations with technical and business teams
requirements
At least 1 year of experience as a Software Architect
2+ years of working experience in business architecture development with knowledge of logistics processes, SAP solutions, and delivery methodologies
Expertise in identifying logistics-related business opportunities, solution gaps, and developing mitigation options
Understanding of SAP S/4HANA functionalities, with a focus on related logistics modules
Proficiency in sales forecasting, demand planning, and supply chain strategies
Ability to align and communicate effectively with IT and business stakeholders at the customer’s organization
Advanced proficiency in English (B2+/C1)
nice to have
Knowledge of SAP products like SAP S/4HANA (SCM), SAP CAR, BTP, and their logistics capabilities
Familiarity with frameworks such as TOGAF, PMP, and SAP Architectural and Design Thinking
Understanding of end-to-end sales processes, including pricing strategies and go-to-market planning
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