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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

We are in search of a&nbsp;Senior Machine Learning Engineer&nbsp;to be part of our team. The selected candidate will contribute significantly to the design, development, and operation of our ML pipeline, guided by industry best practices.Your responsibility will revolve around designing, creating, maintaining, troubleshooting, and optimizing ML pipeline steps. You will also be instrumental in owning and contributing to the design and implementation of ML prediction endpoints. Close collaboration will be required with System Engineers to set up the ML lifecycle management environment and support the enhancement of coding practices.We welcome those driven by a spirit of innovation to apply and become a vital part of our team!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-IRINABENKOResponsibilities<ul><li>Contribution to the design, development, and operation of ML pipeline based on best practices</li><li>Design, creation, maintenance, troubleshooting, and optimization of ML pipeline steps</li><li>Ownership and contribution to the design and implementation of ML prediction endpoints</li><li>Cooperation with System Engineers to set up the ML lifecycle management environment</li><li>Writing of specifications, documentation, and user guides for developed applications</li><li>Support for the enhancement of coding practices and repository organization in the science work cycle</li><li>Establishment and configuration of pipelines for projects</li><li>Continuous identification of technical risks and gaps, and devising of mitigation strategies</li><li>Collaboration with data scientists to bring predictive models into production, understanding the scope and purpose of the models built by data scientists and creating scalable data preparation pipelines</li></ul>Requirements<ul><li>3+ years of experience in programming languages, ideally Python, with strong SQL knowledge</li><li>Profound MLOps experience (Sagemaker, Vertex, or Azure ML)</li><li>Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering</li><li>At least one project delivered to production in an MLE role</li><li>Expertise in Engineering Best Practices</li><li>Practical experience implementing Data Products using the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or alternative technologies</li><li>Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.)</li><li>Experience with automated data pipeline and workflow management tools, i.e., Airflow, Argo Workflow, etc</li><li>Experience in different data processing paradigms (batch, micro-batch, streaming)</li><li>Practical experience working with at least one of the major Cloud Providers such as AWS, GCP, and Azure</li><li>Production experience integrating ML models into complex data-driven systems</li><li>DS knowledge with Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers</li><li>Experience with different types of databases (Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.)</li></ul>Nice to have<ul><li>Practical experience with Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX)</li><li>Experience with performance testing tools like JMeter or LoadRunner</li><li>Familiarity with containerization technologies like Docker</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 Machine Learning Engineer

We are seeking a&nbsp;Senior Manager&nbsp;with profound consulting and technological understanding to address our clients' pressing challenges in technology, strategy, and transformation from a Data Governance perspective.This role involves crafting influential strategies and implementing robust technology solutions to enhance data governance and management.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNIResponsibilities<ul><li>Develop, implement, and manage a comprehensive Data Governance framework that aligns with organizational goals</li><li>Set up governance policies, standards, and procedures to ensure uniform data quality, security, and management across departments</li><li>Address data privacy issues and maintain compliance with regulations such as GDPR and HIPAA</li><li>Drive resolution of data management challenges, including aspects related to quality, usage, and accessibility, in collaboration with key stakeholders</li><li>Oversee governance of Data Lakes, ensuring efficient data ingestion, storage, transformation, and analysis</li><li>Bridge business knowledge gaps across departments and enhance data utilization</li><li>Facilitate the integration of diverse data sources, like SAP, time series, transactional data, and SCADA systems</li><li>Govern the application of machine learning models for predictive analytics and forecasting</li><li>Collaborate closely with project managers, analysts, and delivery managers to synchronize data goals with business objectives</li><li>Conduct workshops and consultations to pinpoint department-specific data needs and devise customized governance solutions</li><li>Embed data governance protocols into tools such as Power BI and Databricks for effective visualization, analysis, and reporting</li><li>Ensure the integrity of data architecture on Microsoft Azure through collaboration with IT and data engineering teams</li><li>Promote and coordinate the adoption of Microsoft tools like Azure Data Factory, Power BI, and Databricks for data governance</li><li>Define data quality metrics, implement routine audits, and conduct data quality checks to uphold high standards across departments</li><li>Monitor data usage and compliance to maintain organizational standards in data handling</li></ul>Requirements<ul><li>Solid understanding of Data Governance, Data Architecture, and the Microsoft Azure ecosystem</li><li>Proven expertise with Data Lakes, Power BI, Databricks, and other Data Management tools</li><li>At least 2 years of experience in data governance leadership or a related field</li><li>Knowledge in regulatory compliance with standards such as GDPR and HIPAA</li><li>Skills in collaborating with diverse stakeholders such as project managers, business analysts, and technical teams</li><li>Background in integrating systems such as SAP, time series, transactional data, and SCADA</li><li>Proficiency in using machine learning models for predictive analytics and forecasting</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 Manager (Data Governance)

Our customer, a leading player in the Oil &amp; Gas and Renewable Energy industries, is undergoing a transformation, modernization, and digital solution implementation. We are seeking a&nbsp;Senior Project Manager&nbsp;to join our team.The successful candidate will play a crucial role in managing the delivery of external solutions by vendors, tracking progress, establishing communication plans, and overseeing deliverables and acceptance processes. This position offers an exciting opportunity to contribute to the successful delivery of projects and the growth of our organization.Role requires regular travel and work on- site at client locations (Aspropyrgos, West Attica region).The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNIResponsibilities<ul><li>Manage complex, end-to-end projects and programs within the energy sector</li><li>Apply advanced project management methodologies to ensure project goals, timelines, and budgets are met</li><li>Leverage mechanical and industrial engineering knowledge to discuss and understand the technical stakeholders and drive efficiency in project execution</li><li>Major Focus in building and maintaining strong relationships with stakeholders, ensuring alignment and satisfaction throughout the project lifecycle</li><li>Act as a mentor to junior team members, sharing knowledge and best practices to elevate team performance</li></ul>Requirements<ul><li>Minimum of 5 years of Project Management experience in the IT industry, with a preference for industrial projects</li><li>Strong knowledge of Project Management standards, such as PMI and PRINCE2</li><li>Experience in managing the delivery of solutions from external vendors/contractors</li><li>Strong negotiation, assertiveness, and empathy skills</li><li>Excellent communication skills</li><li>Greek Language is a must</li><li>English language with a minimum of B2+</li></ul>Nice to have<ul><li>Electrical or Mechanical engineer background would be preferred, ideally with some work experience in industrial domain</li><li>Good to have strong understanding of Agile software development practices (Scrum, Kanban, SAFe)</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 Project Manager

We are seeking a highly skilled&nbsp;Senior Security Engineer&nbsp;with a strong focus on SOAR, Python, and automation to join our team.This role involves enhancing and streamlining security operations for our clients by developing, deploying, and managing innovative security automation solutions.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-DB1Responsibilities<ul><li>Automate and streamline security operations using Python</li><li>Enhance, deploy, and manage security automation tools</li><li>Proactively monitor, identify, and analyze security risks and incidents</li><li>Collaborate with teams to integrate security automation solutions</li><li>Develop scripts to improve operational efficiency</li><li>Conduct regular assessments of security automation tools</li><li>Provide recommendations for security enhancements</li><li>Document processes and procedures for security operations</li><li>Stay updated on the latest security threats and technologies</li><li>Assist in incident response and remediation</li><li>Participate in security training and awareness initiatives</li></ul>Requirements<ul><li>3+ years of experience in security engineering</li><li>Experience in leading security automation projects</li><li>Background in Python programming</li><li>Proficiency in Security Orchestration and Automated Response</li><li>Understanding of Automation Using Scripting and Programming Languages</li><li>Problem-solving mindset</li><li>Ability to work collaboratively in a team environment</li><li>Fluency in English</li></ul>Nice to have<ul><li>Cyware experience</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.Apply For

Θέσεις Εργασίας Ελλάδα, Epam-global - Σελίδα 4

senior data software engineer

EPAM Global

senior machine learning engineer

EPAM Global

senior manager (data governance)

EPAM Global

senior project manager

EPAM Global

senior security engineer (soar & python & automation)

EPAM Global