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We are looking for&nbsp;a Senior Data Integration Engineer&nbsp;to join the dynamic Data Practice team and collaborate on EPAM strategic projects.As a Senior Data Integration Engineer, your key role will be to build data systems and applications that drive decision-making. You will primarily focus on developing and maintaining data pipelines and data-driven solutions in public clouds like AWS or Azure, as well as migrating data from the on-premises data centers to the cloud. Additionally, you will build components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Play a key role in driving forward EPAM strategic data projects</li><li>Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure)</li><li>Develop components for the enterprise data platform to ensure data accuracy and availability</li><li>Collaborate with data scientists, data architects, and others ensure data needs are met</li><li>Implement secure and auditable data processes to ensure data integrity</li><li>Troubleshoot any data-related issues and strive to improve the quality of data systems</li></ul>Requirements<ul><li>Proven experience as a Data Engineer or similar role for at least 3 years</li><li>Proficiency in SQL and Phyton</li><li>Proven experience with Public Cloud (AWS, Azure), DBMS and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Experience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution &amp; access (Entitlements for users, build of API’s and access points for data)</li><li>Experience building components for enterprise data platform (Data Warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)</li><li>A bachelor's degree in computer science, IT, or a related field</li><li>Strong communication skills</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 Data Integration Engineer (Databricks)

Senior Data Integration Engineer (Databricks) Remote

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.Responsibilities<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:<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 Data Software 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.

Senior Data Software Engineer

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 Remote

Senior Palantir Data Engineer

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.

We are searching for a&nbsp;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!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 using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating 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

We are seeking a&nbsp;Lead Data Integration Engineer&nbsp;to join the innovative Data Practice team and make an impact on EPAM's strategic initiatives.In this role, you will focus on creating robust data systems and applications to support effective decision-making. Key priorities include developing and maintaining data pipelines, data-driven solutions in public clouds like AWS or Azure, and facilitating seamless data migration from on-premises infrastructure to the cloud. You will also work on building key components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Drive EPAM strategic data initiatives</li><li>Design and manage enterprise data solutions within Public Cloud environments (AWS, Azure)</li><li>Build components for enterprise data platforms to ensure efficient data workflows</li><li>Collaborate with data scientists, architects, and other stakeholders to address data requirements</li><li>Implement structured, secure, and auditable processes to safeguard data integrity</li><li>Identify and resolve data-related issues while enhancing overall system quality</li></ul>Requirements<ul><li>5+ years of experience as a Data Engineer or in a similar role</li><li>Proficiency in SQL and Python</li><li>At least one year of relevant leadership experience</li><li>Background in Public Cloud platforms (AWS, Azure), DBMS, and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Skills in data acquisition, including API calls, FTP downloads, ETL, transformation, storage, and distribution</li><li>Background in building components for enterprise data platforms, such as Data Warehouses, Operational Data Stores, API access layers, file extracts, or query systems</li><li>A bachelor’s degree in computer science, IT, or a related discipline</li><li>Competency in effective communication</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 Integration Engineer Remote

Lead Data Integration Engineer

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?We are seeking a highly skilled and motivated&nbsp;Senior Data Engineer&nbsp;to join our growing global team of data engineering professionals. You will play a key role in building robust, scalable data-driven solutions that support critical decision-making processes for our Property &amp; Casualty business domain.This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and build scalable data pipelines and data-driven solutions to support robust analytics and business decision-making</li><li>Collaborate with cross-functional teams to gather requirements, align on data needs, and ensure seamless delivery of solutions</li><li>Implement data modeling, documentation, and optimization strategies to streamline performance and usability</li><li>Develop data analytics tools and dashboards to effectively communicate insights and trends</li><li>Leverage modern coding languages like Python or TypeScript to create reliable and maintainable software components</li><li>Ensure data accuracy, validation, and monitoring processes are automated and efficient</li><li>Apply Agile methodologies, including Scrum, to expedite project delivery and enhance collaboration</li><li>Take ownership of projects, driving them from inception to completion with minimal oversight</li><li>Solve complex Big Data problems using advanced technologies like Palantir Foundry and Machine Learning techniques</li></ul>Requirements<ul><li>Bachelor's degree or equivalent in Computer Science, Data Science, or a related field</li><li>2+ years of hands-on experience&nbsp;in data and technology</li><li>Expertise in modern coding languages like Python or TypeScript</li><li>Familiarity with SQL and relational database concepts</li><li>Proficiency in data analytics and visualization tools</li><li>Background in Scrum and Agile development approaches</li><li>Understanding of building data-driven applications with storytelling capabilities</li><li>Good communication skills in English to articulate complex ideas effectively to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Palantir Foundry and Microsoft Power BI</li><li>Experience with Machine Learning or Generative AI</li><li>Knowledge of PySpark for large-scale data processing</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</li><li>Knowledge of the insurance domain, the financial industry, or finance functions within other industries</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 Data Engineer Remote

Senior Data Engineer

We are seeking a&nbsp;Senior Data Engineer&nbsp;to design and implement robust, scalable data-driven solutions that support key decision-making processes within the Property &amp; Casualty business domain.This role offers the opportunity to work on cutting-edge projects utilizing Big Data and Machine Learning to address emerging challenges in the insurance industry.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design and build scalable and efficient data systems to enable data-driven decision-making</li><li>Collaborate with cross-functional teams to gather and understand data requirements</li><li>Implement data pipelines to extract, transform, and load (ETL/ELT) data from various sources</li><li>Develop data models that support advanced analytics and reporting needs</li><li>Utilize modern programming languages to build data-driven applications focused on user needs</li><li>Ensure the quality and reliability of datasets through validation and testing</li><li>Visualize data insights and tell compelling stories through dashboards using tools like Microsoft Power BI</li><li>Optimize performance and scalability of data infrastructure to meet growing business demands</li><li>Maintain thorough documentation of data architecture, pipelines, and processes</li><li>Stay updated on industry trends and emerging technologies to propose innovative solutions</li><li>Adhere to Agile and Scrum methodologies to ensure effective project delivery</li><li>Support the adoption and use of advanced platforms such as Palantir Foundry</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Data Science, or a related field</li><li>3+ years of experience in data engineering, analytics, or related fields</li><li>Expertise in Python, TypeScript, and SQL with a deep understanding of relational databases</li><li>Skills in data modeling, data visualization, and storytelling with data</li><li>Proficiency in Microsoft Power BI and familiarity with Agile development approaches like Scrum</li><li>Experience working with Palantir Foundry or other advanced data platforms</li><li>Background in Insurance, Financial Services, or Finance-related industries is a strong advantage</li><li>Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Big Data technologies and frameworks</li><li>Proficiency in PySpark for distributed data processing</li><li>Background in Machine Learning or Generative AI applications</li><li>Familiarity with insurance domain concepts or the Property &amp; Casualty business</li><li>Understanding of ETL/ELT solutions and best practices</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</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

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) Remote

Lead Data Software Engineer (Databricks)

We are looking for a highly skilled Senior Machine Learning Engineer to design and implement machine learning models and systems that address complex challenges and drive meaningful business outcomes. You will play a critical role in extracting insights from data, building advanced pipelines, and leveraging generative AI to develop impactful solutions. This position combines technical proficiency, innovative thinking, and collaboration to deliver scalable results aligned with organizational goals.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design and implement machine learning solutions tailored to domain-specific business needs</li><li>Leverage data science techniques, classical machine learning methods, and generative AI to extract actionable insights</li><li>Build, deploy, and optimize ML pipelines, addressing feature generation, model evaluation, retraining, and automation</li><li>Interpret analytical results and model outputs, translating them into clear, actionable strategies for stakeholders</li><li>Collaborate with teams across the organization to gather requirements and deliver impactful machine learning solutions</li><li>Research and integrate emerging ML and AI technologies to improve processes and systems</li><li>Document workflows, algorithms, and findings to support reproducibility and knowledge sharing</li></ul>Requirements<ul><li>3+ years of hands-on experience applying data science and machine learning techniques to solve real-world problems</li><li>Strong ability to define business problems and design ML-driven solutions with an analytical focus</li><li>Expertise in Python and SQL, with proficiency in frameworks such as Scikit-learn, Pandas, and PyTorch</li><li>Solid understanding of statistical methods, machine learning algorithms, and advanced techniques like deep learning or LLMs (Large Language Models)</li><li>Experience applying statistical concepts such as regressions, A/B tests, clustering, and probability to business challenges</li><li>Skills in storytelling through data visualization tools like Tableau, R-Shiny, Streamlit, or Looker</li><li>Excellent communication skills, with the ability to present technical concepts to both technical and non-technical audiences</li><li>Proven problem-solving skills with the ability to independently manage and take ownership of projects</li><li>Collaborative mindset with experience working in cross-functional teams to align objectives and deliver results</li><li>Excellent command of written and spoken English (B2+ level)</li></ul>Nice to have<ul><li>Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related field</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>Option to work on your own device</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 Machine Learning Engineer Remote

We are seeking a Senior Data Scientist to join our expanding product data science team.You will be responsible for designing, developing, and maintaining data science models and deploying pipelines that enable scalable solutions. Your role involves close collaboration with development and commercial teams to enhance advertising trading recommendations and improve operational efficiency. You will have the opportunity to influence best practices and contribute to impactful projects. If you are passionate about applying advanced data science techniques to real-world problems, we encourage you to apply.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Translate product requirements into comprehensive data science solutions and manage end-to-end development pipelines</li><li>Take full ownership of data science development across various product features and modules</li><li>Collaborate closely with engineering teams and commercial stakeholders during the development lifecycle</li><li>Identify and research machine learning features with business impact and convert them into product functionalities</li><li>Evaluate risks and maintain a long-term focus on product quality and performance, proposing enhancements as required</li><li>Communicate proactively with project managers and stakeholders, resolving technical challenges efficiently</li><li>Support the team lead by recommending code and feature optimizations to reduce processing and storage expenses</li><li>Consider compute and storage costs during code reviews for peers</li><li>Ensure consistency in logic standards within the product and adhere to agile methodologies</li><li>Assist the team lead in onboarding and mentoring new team members on technical skills</li></ul>Requirements<ul><li>Minimum of 3 years of experience in data science projects</li><li>Strong understanding of machine learning techniques, including clustering, regression, classification, and deep learning</li><li>Experience using Databricks or similar notebook environments</li><li>Proficiency in Python and PySpark for processing large-scale datasets</li><li>Advanced skills in SQL and intermediate proficiency in Excel</li><li>Ability to translate business needs and product requirements into effective data science solutions</li><li>Experience in exploratory data analysis, data preprocessing, and feature engineering in big data environments</li><li>Familiarity with AWS or other cloud platforms for developing and deploying data pipelines and machine learning models</li><li>Experience with natural language processing applications</li><li>Knowledge of generative AI applications</li><li>Exposure to machine learning operations (MLOps)</li><li>Strong written and verbal English communication skills (B2+)</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>Option to work on your own device</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>

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