Currently, we are looking for a self-motivated, enthusiastic Lead Data DevOps Engineer for our Data Practice to make the team even stronger.
responsibilities
Participate in design and deployment of modern data analytics solutions in cloud, including IoT analytics, streaming, decision support, using most advanced technologies
Involve in processing and storing huge amounts of data using cutting-edge technologies and best industrial practices
Building and maintaining high-performance, cloud-based, fault-tolerant, scalable distributed software systems
Implement efficient monitoring and log-collection mechanisms for proactive alerts and reliability
Take part in Machine Learning (ML), in Data and Delta Lake building hosted in private and public clouds and much more
Assist developers in building POCs for various solutions
Create infrastructure as a Code, perform configuration management
Build and maintain CI/CD pipelines
Performance and security engineering
Learn market leading technologies
requirements
Bachelor’s/Master’s Degree in Information Technology or Economics with a strong IT attitude
At least 5 years of DevOps or System Administration-related experience
Experience in debugging a Java and/or Python application
Understanding of Big data purpose and main concepts
Experience in container-based services
Solid experience with GIT
Good English command, both verbal and written
Experience in any cloud platform (AWS, Azure or GCP etc.)
nice to have
Experience in creating CI/CD pipelines
Infrastructure as Code (Ansible, Terraform, AWS CDK etc.)
We are currently seeking a MS Dynamics CRM Solution Architect . If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. If you’d like to learn more about this position and project, apply now.
responsibilities
Develop and execute solutions using Microsoft Dynamics 365 and Power Platform
Incorporate services from Azure Cloud emphasizing automation and integration features
Collaborate with cross-functional teams within a Scrum framework to deliver superior software solutions
Transform business requirements into technical designs
Provide mentorship and technical direction to development teams
Ensure compliance with industry standards and best practices, particularly in the Financial Services sector
Assess and consider third-party solutions like Wealth Dynamix to extend system capabilities
requirements
Established history as a Dynamics Architect or equivalent position
Proficiency in Microsoft Dynamics 365 and Power Platform
Capability to work with Dynamics Modules, with a preference for Sales and Customer Service
Background in Azure Cloud services, with a focus on integration and automation
Familiarity with continuous integration and continuous deployment (CI/CD) practices and tools
Solid understanding of Scrum and Agile development methodologies
Preferably well-versed in the Financial Services domain
Excellent problem-solving skills with effective team collaboration abilities
nice to have
Prior involvement with Wealth Dynamix
Advanced certifications related to Microsoft Dynamics or Azure Cloud services
Proficiency in other Dynamics Modules such as Marketing or Field Service
We are looking for Senior Azure DevOps Engineer . If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. If you’d like to learn more about this position and project, apply now. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com.
responsibilities
Develop and manage cloud solutions using Azure
Implement container platforms like Docker and Kubernetes
Carry out continuous integration and delivery using CI/CD tools
Write automation scripts for systems using appropriate coding languages
Monitor system performance and troubleshoot issues using tools
Communicate effectively with team members and stakeholders
Use English language skills to collaborate in a global team environment
requirements
3+ years of experience in working with Azure (AKS, API Management, Virtual Machines, Cloud Databases, networking, VPNs, Serverless, IAM)
Good understanding of Containers (Docker, Kubernetes, etc.)
Solid understanding of the Software Development Life Cycle, Continuous Integration and Continuous Delivery
We are looking for a Senior Data Integration Engineer to join our dynamic Data Practice team and collaborate on EPAM’s strategic projects. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com .
responsibilities
Play a key role in driving forward EPAM strategic data projects
Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure)
Develop components for the enterprise data platform to ensure data accuracy and availability
Collaborate with data scientists, data architects, and others to ensure data needs are met
Implement secure and auditable data processes to ensure data integrity
Troubleshoot any data-related issues and strive to improve the quality of data systems
requirements
Proven experience as a Data Engineer or in a similar role for at least 3 years
Proficiency in SQL and Python or Java
Demonstrated experience with Public Cloud platforms such as AWS or Azure, along with expertise in DBMS and ETL/ELT tools
Strong communication skills are essential to collaborate effectively with teams and stakeholders, ensuring seamless project delivery and alignment
Experience in data acquisition through methods like API calls and FTP downloads, as well as expertise in ETL processes and data transformation/normalization from raw to structured schemas
Experience in building components for enterprise data platforms like Data Warehouses, Operational Data Stores, and Access layers with APIs and file extracts
We are looking for a Senior/Lead Data Software Engineer . If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. If you’d like to learn more about this position and project, apply now. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com .
responsibilities
Design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and logging practices
Bring together large, complex, and sparse data sets to meet functional and non-functional business requirements and use a variety of languages, tools and frameworks to marry data
Design and implement data tools for analytics and data scientist team members to help them in building, optimizing, and tuning of use cases
Tackle challenging and varied problems related to gaining further maturity in Data Platform tools, processes, and engineering capabilities
Focus on engineering excellence to deliver high-quality solutions that provide leverage for the company's objectives
requirements
3+ years of hands-on experience in data processing focused projects
Proficiency with Java or Python or Scala and SQL
Knowledge of Apache Spark
Experience with one of the major cloud providers AWS, Azure or GCP
Hands-on experience with a few selected data processing technologies, e.g., Hadoop, MongoDB, Cassandra, Kafka, Elasticsearch, Python libraries (Pandas/NumPy, etc.) data processing tools of cloud providers (EMR/Glue/Data Factory/Big Table, etc.)
Relevant experience with version control and code review
Knowledge of Agile methodologies
Linux and Bash scripting basics
nice to have
Good hands-on experience with Databricks and Delta-Lake
We are seeking a Data Solution Architect to design and drive various solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. In this role, you will empower the organization's digital transformation through enterprise data enablement. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged — feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com .
responsibilities
Address business goals and strategy of the company using best practices in business-, enterprise-, solution-, data architectures, as well as in software engineering
Analyze business problems and the technology landscape, identify significant requirements and design solutions
Perform hands-on software engineering by creating data models and conducting code reviews
Build data management environments (data platforms) where data and AI products can be produced and hosted, both on-premises and in the cloud, considering security, compliance and regulatory limitations
Report on data flow, data quality metrics and operational statuses
Guide team efforts in integration and harmonization of data from different sources, building analytical data tools
Manage data products lifecycle end-to-end, ensuring their data quality, security and privacy
Drive data technology consulting services, helping clients shape a vision for the solution and make decisions under uncertainty
requirements
Experience in solution architecture, engineering, systems development, deployment and maintenance
Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)
Solid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areas
Wide experience in design, implementation, deployment, troubleshooting and re-platforming of distributed systems both on-premises and in the cloud
Structured and systematic knowledge of the entire of architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.)
Solid background in all phases of the software development lifecycle using different development methodologies and best practices
Well-developed communication and presentation skills
We are seeking a skilled Data Science Consultant to join our team and contribute to the delivery of AI and Data Cloud Solutions. As a member of our team, you will collaborate with data scientists, engineers, and product owners to advance our AI delivery framework. Your expertise in data structures, databases, and ETL tools will help optimize AI processes while ensuring compliance with security and ethical standards. This role provides the opportunity to drive AI innovation in a collaborative and dynamic environment. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com .
responsibilities
Drive and implement continuous improvements in the client's delivery framework
Apply (SAFe) Agile operational standards and practices to optimize efficiency and AI investment returns
Act as a subject matter expert in Data Science or Data Engineering
Collaborate with Product Owners to gather, address, and align their needs and requirements
Ensure our client's solutions comply with security, AI ethics, DPP, legal, and works council standards
Facilitate quarterly planning activities for the client
Contribute to operational KPIs reporting and drive improvements in these KPIs
Contribute to the development of reusable and enablement assets relevant to the client's context
Educate customers and stakeholders on AI and machine learning concepts
requirements
Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields
Background in working with teams of AI Scientists, MLOps Engineers, and Product Owners
Showcase of stakeholder communication skills to understand SAP business processes
Understanding of agile team practices and methods, including Scrum, Kanban, and SAFe
Proficiency in AI and ML concepts including MLOps, technologies, and cloud frameworks such as Jupyter, Docker, Kubernetes, Github, SAP BTP, OCR, NLP, and CV
Expertise in Python libraries and machine learning frameworks such as NumPy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch, and Gensim
Interest in business process engineering and modeling
Qualifications in ITIL and ITSM practices
Capability to take ownership of tasks and demonstrate collaborative teamwork skills
We're seeking a seasoned Data Technology Consultant to join the Data Practice team and help our clients in unlocking their data's full potential. In this role, you'll contribute to projects centered around digital transformation, data platforms & science, business analytics, intelligent automation, and cloud solutions. Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged — feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com .
responsibilities
Work with European technical and business data practices, assisting clients in their Data Analytics strategy and delivery programs
Maximize the value of clients' Data & Analytics initiatives by recognizing appropriate solutions and services
Act as a Data Technology Consultant and/or Data Solution Architect, working with the delivery team in complex programs
Maintain understanding of technical solutions, architecture design trends and best practices
Drive Data Analytics initiatives and technology consulting engagements
Collaborate with internal, client and third-party teams to execute transformations
Understand the intersection between technology, customers and business
Stay updated on emerging trends and challenges in clients' markets and geographies and how it affects clients’ business and initiatives
Work closely with project/program management to ensure successful delivery through an integrated delivery model
Deliver clear and consistent communications within projects with relevant stakeholders
Establish and cultivate strong relationships with clients
requirements
Minimum of 10 years of IT experience
Strong experience as a Data Technical Consultant and/or Data Solution Architect
Hands-on technology experience in the areas of Data Analytics
Skills in one of the following: Big Data, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization
Good knowledge of at least one of the cloud providers (AWS, Azure, GCP)
Background in continuous delivery tools and technologies
Ability to work with relevant delivery teams
Skills in effectively communicating the pros and cons of technology and presenting rational options to clients
Confidence in expressing viewpoints, making recommendations and presenting analysis when needed
Fluency in English at a minimum B2 level for effective communication with the team and stakeholders
We are looking for a driven and knowledgeable Presales Solution Consultant to join our expanding Data & AI team. This position connects technology with tangible business outcomes, enabling clients to capitalize on the power of data to achieve transformative results. You will take on a key role in designing innovative data solutions, supporting sales initiatives, and delivering outstanding value through strategic consulting and technical expertise. The perfect candidate combines strong technical skills with consulting and interpersonal abilities, excels in dynamic settings, and aligns client needs with advanced data and analytics capabilities. This role offers the opportunity to engage with advanced technologies and contribute to impactful projects across diverse industries.
responsibilities
Collaborate with sales, delivery, and expert teams to align client goals with data-driven solutions, bridging business challenges with our offerings
Lead the end-to-end presales process, including opportunity evaluation, solution design, proposal creation, demonstrations, and client presentations
Facilitate workshops and meetings with clients to capture business objectives and technical requirements, ensuring alignment with proposed solutions
Design customized data solutions, incorporating cloud-native platforms, data integration, advanced analytics, and AI/ML models, to enable actionable insights
Create competitive proposals, pricing models, and value propositions to secure contracts and drive engagement success
Monitor emerging trends in Data & Analytics, Cloud, and AI, offering clients strategic insights and fostering innovation within the team
Develop reusable solution frameworks, accelerators, and methodologies to enhance practice efficiency
Mentor and support team members by sharing knowledge and promoting best practices
requirements
Bachelor's or master's degree in Data Science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
Significant experience (8+ years) in presales, solution architecture, or consulting with emphasis on Data/AI technologies and their applications in business contexts
Knowledge of data platforms such as Databricks, Snowflake, AWS/Azure/GCP Data Services, ETL processes, data modeling, BI tools, and visualization frameworks like Power BI and Tableau
Familiarity with data science methods and ability to analyze client needs and map them to technical capabilities
Strong communication and storytelling skills to convert technical details into compelling, client-centered narratives
Background in engaging senior stakeholders with effective presentations and impactful consultations
Showcase of successfully developing proposals, RFP responses, and pricing models for data-centric services or projects
Understanding of consulting methodologies, with skills in developing future-state recommendations and roadmaps for client success
Capability to organize, lead, and scope projects while managing complex activities in a high-paced environment
Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences
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 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 RFP/RFQ/RFI responses, including the winning strategy, formal response structure, and storytelling
Manage 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
Client-facing expertise with the ability to position services, lead C-level discussions, and function as a trusted advisor to senior stakeholders
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
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.
Understanding of data modelling, different data lifecycle management approaches, and real-time processing
Understanding of data governance principles, computational governance, data catalogs, and observability frameworks
Demonstrated ability to lead technical discussions on an enterprise scale with senior stakeholders
Solid knowledge of information theory, algorithms, data structures, search algorithms, etc.
English level of minimum B2 (Upper-Intermediate) for effective communication
Let us find a perfect job for you
Share your CV and pass our review to get a personalized job offer even if you didn't find a job on the site.
