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We are seeking a&nbsp;Senior Data Software Engineer&nbsp;to join our Data &amp; Analytics team, focusing on utilizing cloud-native technologies in our Microsoft Azure environment.You will be pivotal in processing large volumes of financial data, innovating to enhance scalability, reduce processing latency, and increase processing transparency. The ideal candidate will be involved in every stage of the development lifecycle, from engineering robust solutions to collaborating with business partners and supporting operations.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Develop and maintain high-stability, performant solutions within the Microsoft Azure environment</li><li>Utilize Databricks, Azure DevOps, Delta Lake tables, and spark structured streaming in project implementations</li><li>Collaborate with business partners and IT experts to understand requirements and shape solutions</li><li>Participate in code reviews to ensure software quality</li><li>Ensure accurate and up-to-date documentation of processes and solutions</li><li>Support operations team in addressing complex problems</li><li>Improve and maintain data processing pipelines used in financial data analysis</li><li>Break down complex requirements into achievable tasks</li><li>Ensure solutions are effectively tested and aligned with business needs</li></ul>Requirements<ul><li>At least 3 years of experience in Data Software Engineering</li><li>Proven core Python software engineering skills, ideally in a finance data context</li><li>Proficiency in Apache Spark and familiarity with Delta Lake tables</li><li>Strong background in relational data models and SQL</li><li>Experience using automated testing to ensure software quality</li><li>Strong analytical skills with the ability to manage complexity</li><li>Self-driven and proactive in addressing issues and opportunities</li><li>Fluent in English with effective collaboration skills in both in-person and remote settings</li><li>Competency in working within a Cloud-native environment, specifically with Microsoft Azure technologies</li><li>Ability to work onsite approximately 3 days per week</li></ul>Nice to have<ul><li>Experience in Lakehouse architecture</li><li>Understanding of low latency processing mechanisms</li><li>Prior exposure to financial data processing systems</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

Senior Data Software Engineer

We are searching for a&nbsp;Lead Data Software Engineer&nbsp;to join our team and oversee the development of our cutting-edge supply-chain data analytics platform.This platform delivers a comprehensive view of suppliers, products, material categories, shipments, and compliance activities while employing artificial intelligence to generate insights and recommendations tailored to our clients’ needs.If this role excites you – apply!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines utilizing Databricks and external orchestrators such as Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Develop system-level improvements and components for data engineering workflows</li><li>Optimize the performance and scalability of data-intensive applications</li><li>Adhere to software engineering standards, including containerization, unit testing, linting, and code style reviews</li><li>Maintain and improve data workflow, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and leadership to the data engineering team</li><li>Engage with clients and stakeholders to understand their requirements and offer customized solutions</li><li>Tackle challenges independently and ensure successful project delivery</li></ul>Requirements<ul><li>Experience leading data engineering efforts on projects utilizing Databricks</li><li>Solid understanding of data architectures and skills in data modeling</li><li>Background in designing and building ETL pipelines in Databricks with external orchestrators such as Airflow</li><li>Hands-on expertise in Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Proficiency in Python and cloud-native technologies</li><li>Competency in Spark/PySpark</li><li>Engineering experience with either AWS or Azure</li><li>Knowledge of big data and techniques for optimizing data-intensive applications</li><li>Strong communication skills with a proactive attitude and client-facing experience</li><li>Ability to navigate ambiguity and complete projects independently</li><li>Comfort working in a dynamic and transparent startup environment</li><li>Fluent English communication skills at a C1 level</li></ul>Nice to have<ul><li>Proficiency in configuring and managing CI/CD pipelines in Azure DevOps</li><li>Familiarity with Data Observability and Data Quality Monitoring practices</li><li>Capability to integrate data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Software Engineer (Databricks)

We are seeking a highly skilled Senior AI Engineer to join our team.In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products. #LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions</li><li>Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models</li><li>Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations</li><li>Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>Requirements<ul><li>At least 3 years of experience in AI engineering or a related field</li><li>Strong proficiency in Python and experience with web frameworks such as FastAPI or similar</li><li>Understanding of the AI application development lifecycle, from design to deployment</li><li>Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks</li><li>Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents</li><li>Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures</li><li>Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability</li><li>Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>Proven track record in delivering ML-based solutions and AI engineering projects</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication, collaboration, and interpersonal skills</li><li>Fluent English skills (written and spoken) at a B2+ level or higher</li></ul>Nice to have<ul><li>Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms</li><li>Familiarity with emerging protocols such as MCP, A2A, ACP, and others</li><li>Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM</li><li>Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry</li><li>Experience with observability and monitoring tools and frameworks for AI systems</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Senior AI Engineer Remote

We are seeking a highly motivated and experienced Presales Solution Consultant to join our growing Data &amp; AI practice.This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.The ideal candidate combines technical prowess with strong consulting and interpersonal skills, thrives in dynamic environments, and can align client requirements with modern data and analytics capabilities.This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings</li><li>Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations</li><li>Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions</li><li>Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights</li><li>Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements</li><li>Stay updated on emerging trends in Data &amp; Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice</li><li>Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency</li><li>Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination</li></ul>Requirements<ul><li>Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases</li><li>Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)</li><li>Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions</li><li>Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives</li><li>Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches</li><li>Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects</li><li>Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success</li><li>Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment</li><li>Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)</li><li>Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Presales Solution Consultant – Data and AI

EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property &amp; Casualty business domain.If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li><li>Strong analytical and problem-solving skills</li><li>Self-starter with a positive outlook and an eagerness to learn</li><li>Self-direction and effective workload management</li><li>Ability to work enthusiastically in a global and multicultural environment</li><li>Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Palantir Data Engineer

Senior Palantir Data Engineer Remote

We are seeking a highly skilled and motivated&nbsp;Senior Data Software Engineer&nbsp;to join our innovative team.In this role, you will leverage cloud-native technologies, including Databricks, Azure DevOps, Delta Lake tables, Spark Structured Streaming, and Lakehouse architecture, within our Microsoft Azure environment. You will play a pivotal role in processing large volumes of financial data, driving innovative solutions that enhance scalability, reduce processing latency, and improve transparency.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-IK2Responsibilities<ul><li>Engineer and maintain high-performance data solutions leveraging Python, Apache Spark, and Delta Lake</li><li>Participate in the full software development lifecycle, including requirements analysis, solution design, code reviews, and documentation</li><li>Collaborate with business partners, IT teams, and architects to ensure data pipelines meet complex and evolving requirements</li><li>Optimize financial data processing pipelines to improve scalability and reduce latency</li><li>Use automated testing to ensure reliability, stability, and accuracy in data processing</li><li>Break down complex data problems into achievable solutions through strong analytical skills</li><li>Support operations teams by troubleshooting and resolving complex pipeline issues</li><li>Identify opportunities for improvement and proactively address challenges</li><li>Design and implement robust relational data models and SQL-based solutions</li><li>Partner with the product owner and team members to deliver seamless data workflows</li><li>Build systems and pipelines that align with modern cloud-native architectural principles</li></ul>Requirements<ul><li>3+ years of professional experience in data engineering or software engineering roles</li><li>Strong core Python software engineering experience with proficiency in Apache Spark and Delta Lake</li><li>Expertise in relational data models and SQL for designing and managing large-scale data solutions</li><li>Knowledge of Azure Cloud Ecosystem, Databricks, and Azure DevOps</li><li>Background in financial data processing and handling large-scale analytics workloads</li><li>Familiarity with Spark Structured Streaming and its application to real-time data pipelines</li><li>Capability to develop, debug, and refine end-to-end automated testing processes</li><li>Experience with architectural practices related to Lakehouse platforms and data lake solutions</li><li>Fluency in English (B2 level) to collaborate effectively across remote and in-person teams</li></ul>Nice to have<ul><li>Understanding of modern big data processing techniques beyond Spark Structured Streaming</li><li>Background in optimizing Delta Lake and Lakehouse architectures for complex business needs</li><li>Showcase of delivering solutions in finance-specific domains or similar industries</li><li>Familiarity with designing and implementing pipelines in distributed systems with low latency</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

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senior data software engineer

EPAM Global

lead data software engineer (databricks)

EPAM Global

senior ai engineer remote

EPAM Global

presales solution consultant – data and ai

EPAM Global

senior palantir data engineer

EPAM Global

senior palantir data engineer remote

EPAM Global

senior data software engineer

EPAM Global

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