Our client, a prominent leader in the Energy sectors, including Oil & Gas and Renewable Energy, is actively involved in transforming, modernizing, and integrating digital solutions. We are in search of a Project Manager to become part of our dynamic team. The ideal candidate will be responsible for overseeing the delivery of external solutions from vendors, monitoring progress, creating communication plans, and managing deliverables and acceptance processes. This role provides a unique chance to contribute to the successful execution of projects and to help our organization grow. The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI Responsibilities Oversee the delivery of external solutions by vendors Monitor progress in line with project plans Develop and uphold communication plans Address risks associated with projects Supervise deliverables and the acceptance process Provide status updates to stakeholders at all levels Support in validating and synchronizing requirements with the capabilities of solutions Requirements At least 3 years of Project Management experience within the IT field, preferably involving industrial projects Proficiency in Project Management standards like PMI and PRINCE2 Background in managing solution deliveries from external vendors/contractors Solid negotiation, assertiveness, and empathy capabilities Excellent communication proficiency Fluency in Greek English language skills at a B2 level or higher Nice to have Background as an Electrical or Mechanical Engineer is desirable, ideally with experience in the industrial sector Familiarity with Agile software development methodologies (Scrum, Kanban, SAFe) is beneficial We offer For you: Paid annual vacation Paid sick leave days Private health insurance Stable income Meal and home office compensation For your comfortable work: Remote and hybrid work opportunities Corporate laptop Possibility to work on your own device Free licensed software Relocation opportunities Free wellbeing activities For your growth: Possibility to create a Personal Development Plan from the first day in the company Free trainings for technical and soft skills Free access to LinkedIn Learning platform Free access to internal and external e-Libraries Certification opportunities Language courses Internal technical and non-technical communities Possibility to contribute in internal, opensource products 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 seeking an experienced and dedicated Delivery Manager to oversee the management of our existing FileNet project consisting of 6 people. The ideal candidate will act as the onsite liaison between the project team and customer stakeholders, ensuring alignment and strategic growth opportunities for EPAM. The Delivery Manager will also be responsible for managing additional teams as they are brought onto the project. The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI Responsibilities Oversee the day-to-day operations of the FileNet project team Foster strong relationships with customer stakeholders Identify and pursue opportunities for EPAM's growth within the project Manage the onboarding and coordination of additional teams Ensure project deliverables meet quality standards and client expectations Requirements Minimum 2 years of management experience, formal or informal Background in Development or QA is highly desirable Understanding of Agile Methodologies Proficiency in Greek and ability to travel to the customer's office in Athens English language proficiency (B2 level or higher) Excellent communication skills Experience in presales or having background in FinTech and Banking enterprises are great assets We offer For you: Paid annual vacation Paid sick leave days Private health insurance Stable income Meal and home office compensation For your comfortable work: Remote and hybrid work opportunities Corporate laptop Possibility to work on your own device Free licensed software Relocation opportunities Free wellbeing activities For your growth: Possibility to create a Personal Development Plan from the first day in the company Free trainings for technical and soft skills Free access to LinkedIn Learning platform Free access to internal and external e-Libraries Certification opportunities Language courses Internal technical and non-technical communities Possibility to contribute in internal, opensource products 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.

Joining the TUI Musement Data Science & Analytics Team you will be providing support to the rest of Data profiles in TUI Musement building the tooling used on analytical and operational Data and ML/AI Products helping them at the task of delivering value to the business, and managing the platform used by all Data and ML/AI products on the Data area. TUI Musement, or TUI MM for short, is the world’s leading provider of destination experiences. With 9,000 diverse employees in 49 countries and head office locations including Palma de Mallorca, Luton and Hannover. We offer 14 million guests a portfolio of excursions, activities, tours, transfers and guest services. TUI MM is part of TUI Group, the world's leading tourism group. Become part of our team - applications open! This role will be advertised for a minimum of 14 days but could close anytime after this time so don't delay! ABOUT OUR OFFER Personal benefits: Attractive remuneration, bonus opportunity, exclusive travel perks & discounts, extensive health & wellbeing support, and more. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance and offer hybrid or remote working models. A career to shape: Opportunities to upskill, reskill and grow your career. Access the TUI Tech Learning Hub to level-up and reach your ambitions. Expand your horizons: Participate in our tech communities and collaborate on global projects and teams. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community.  ABOUT THE JOB Imagine being at the forefront of how data transforms the travel industry. You’ll be a vital part of a team that thrives on turning complex data challenges into scalable, impactful solutions. Every day, you’ll collaborate with our Data Scientists, Analytic Engineers, Data Analysts or other engineering teams to design and build the tools and platforms that power our data and machine learning products. Whether you’re creating pipelines for large-scale data processing or automating processes to optimize performance, your work will directly influence the decisions that shape how millions of travelers explore the world. In our team, each day brings new and exciting challenges. You could be refining machine learning models one moment, then building scalable infrastructures that process vast amounts of data from source systems. Whether you’re optimizing API integrations or improving our data pipelines, your work will directly enhance the way we serve millions of travelers worldwide.You’ll have the opportunity to experiment with cutting-edge technologies while ensuring our data solutions are robust, efficient, and continuously driving business value. Defining cutting-edge Data Engineering frameworks that enable the Analytics Engineering team to deploy their own solutions. Defining cutting-edge ML/AI frameworks that enable the ML/AI team to deploy their own solutions. Building and optimizing Data Engineering & ML/AI tools to empower your fellow data professionals, helping them unlock the full potential of our platform. Defining the Data Sharing frameworks for analytical and operational purposes to serve our platform as a Data Catalog for consumers. Monitoring and enhancing Data Engineering & ML/AI solutions, fine-tuning them for performance, accuracy, and scalability. Leading efforts to automate and optimize internal processes—whether it’s reducing manual work, improving data delivery, or redesigning infrastructure for greater efficiency. Collaborating with your team in an agile environment, following operational and control procedures to deliver top-tier results. Contributing to the design and modeling of a scalable Enterprise Data Platform within the cloud (AWS), ensuring that our data architecture remains future-proof. ABOUT YOU  You’re passionate about data, machine learning, and finding solutions to complex challenges, but you also thrive in a collaborative environment.  You see data not just as numbers but as the foundation for meaningful change, and you’re excited about the opportunity to help revolutionize the travel experience.  Proficient in Python, with a commitment to writing clean, maintainable, and testable code. Experience with API frameworks like FastAPI or Flask. Demonstrated expertise in building Data and ML pipelines, covering the entire lifecycle in both cases. Hands-on experience with CI/CD frameworks, especially GitLab. Comfortable building containerized solutions with Docker to provide custom source connectors for data extraction. Experienced in using orchestration tools like Airflow to build robust, scalable, and dynamic pipelines. Experienced with Airbyte, possessing a strong understanding of its operation and functionality. Proficient in working with Snowflake (our main Data Platform) and Mongo Atlas, among others. Skilled in using Datadog to build and maintain monitors, alerts, and dashboards. A strong understanding of data transformation, metadata management, and workflow orchestration. Familiarity with Machine Learning frameworks and libraries is highly valued. Experience with AWS cloud services, including: o Amazon EventBridge o Amazon Kinesis Data Firehose o Kinesis o S3 o Lambda o SQS o SNS o CloudWatch Fluent in English, able to communicate both technical details and big-picture concepts with ease—whether speaking to senior stakeholders or peers in the technical team. The following are nice-to-haves: Experience with Terraform as IaC. Proficiency with Azure DevOps services. Experience with k8s. From a workplace to a place to belong.  At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.

Become part of our team - applications open! This role will be advertised for a minimum of 14 days but could close anytime after this time so don't delay! ABOUT OUR OFFER Personal benefits: Attractive remuneration, bonus opportunity, exclusive travel perks & discounts, extensive health & wellbeing support, and more. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance and offer hybrid or remote working models. A career to shape: Opportunities to upskill, reskill and grow your career. Access the TUI Tech Learning Hub to level-up and reach your ambitions. Expand your horizons: Participate in our tech communities and collaborate on global projects and teams. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community.  ABOUT THE JOB Imagine being at the forefront of how data transforms the travel industry.  As a Data & ML Engineer at TUI Musement, you’ll be a vital part of a team that thrives on turning complex data challenges into scalable, impactful solutions. Every day, you’ll collaborate with our Data Scientists, Analytic Engineers, Data Analysts or other engineering teams to design and build the tools and platforms that power our data and machine learning products. Whether you’re creating pipelines for large-scale data processing or automating processes to optimise performance, your work will directly influence the decisions that shape how millions of travellers explore the world.  In our team, each day brings new and exciting challenges. You could be refining machine learning models one moment, then building scalable infrastructures that process vast amounts of data from source systems. Whether you’re optimising API integrations or improving our data pipelines, your work will directly enhance the way we serve millions of travelers worldwide. You’ll have the opportunity to experiment with cutting-edge technologies while ensuring our data solutions are robust, efficient, and continuously driving business value.  Develop and maintain cutting-edge Data and ML/AI solutions for TUI Musement that meet our Service Level Agreements (SLAs) and fit within our budget.  Build and optimise Data and ML/AI tools to empower your fellow data professionals, helping them unlock the full potential of our platform.  Design and manage ETL pipelines and workflows using technologies like SQL and AWS Big Data services, ensuring that data flows seamlessly from source to insight.  Create robust Machine Learning pipelines that handle the lifecycle of ML models from development to deployment, monitoring, and optimisation.  Implement and manage APIs for model inference, supporting Data Scientists in deploying their solutions at scale.  Monitor and enhance ML Data products, fine-tuning them for performance, accuracy, and scalability.  Lead efforts to automate and optimize internal processes—whether it’s reducing manual work, improving data delivery, or re-designing infrastructure for greater efficiency.  Collaborate with your team in an agile environment, following operational and control procedures to deliver top-tier results.  Contribute to the design and modeling of a scalable Enterprise Data Platform within the cloud (AWS), ensuring that our data architecture remains future-proof.  ABOUT YOU  You’re passionate about data, machine learning, and finding solutions to complex challenges, but you also thrive in a collaborative environment.  You see data not just as numbers but as the foundation for meaningful change, and you’re excited about the opportunity to help revolutionize the travel experience.   Proficient in Python, with a commitment to writing clean, maintainable, and testable code.  Experience with API frameworks like FastAPI, Flask, or Django.  Demonstrated expertise in Data and ML pipelines, with hands-on experience in CI/CD frameworks.  Comfortable building containerized solutions with Docker and using orchestration tools like Airflow.  Proficient in working with both SQL and NoSQL databases: Our current stack includes technologies like Snowflake and DynamoDB, among others.  A strong understanding of data transformation, metadata management, and workflow orchestration.  Familiarity with Machine Learning frameworks and libraries is highly valued.  Experience with AWS cloud services and stream-processing systems like Apache Spark, Apache Flink, or Kinesis is a plus.  You have an analytical mindset and a passion for continuous learning, embracing challenges as opportunities.  Fluent in English, you’re able to communicate both technical details and big-picture concepts with ease, whether you’re speaking to senior stakeholders or peers in the technical team.  From a workplace to a place to belong.  At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know. #TUIJobs

SKY express, the fastest-growing Greek airline, is currently seeking for ambitious Call Center Agents living in Thessaloniki who will join remotely our Call Center team and will carry out administration tasks and high-quality services. The ideal candidate will be self-motivated and an excellent listener who will commit himself to exceed our customers’ expectations. Key responsibilities: Respond to customers’ needs through e-mails and inbound calls Book tickets Perform booking changes and ticket cancellations Provide information to customers, agents, and airport stations Skill set: Customer oriented Communication and negotiation skills Result driven Ability to work under pressure Multi-tasking Team player Requirements: Experience in Customer Service Excellent command of the Greek & English language PC knowledge A quiet place to work at home with a strong internet connection A Bachelor’s degree and knowledge of any foreign language will be considered an advantage. If you consider yourself an enthusiastic professional that wishes to become a part of the fastest – growing and greenest Greek airline, please send us your CV. Applicants are requested to attach their CVs in PDF format ONLY. The personal data collected will be used for recruitment purposes only. Personal data of unsuccessful applications will be deleted. Please note that only candidates who meet the requirements of a relevant job description shall be contacted. Candidates not notified within 8 weeks may consider their application unsuccessful. Candidates who will be contacted, may be asked for further information as part of our screening process.

Scanning..... Στην Κωτσόβολος πιστεύουμε σε όλα όσα έχεις να προσφέρεις!  Έλα να γίνουμε μαζί πολλά περισσότερα! #beMORE    📈 Τα νούμερά μας  3.000+ άνθρωποι | 90+ καταστήματα | 2 σύγχρονα εκπαιδευτικά κέντρα | 53.000+ ώρες εκπαίδευσης τον χρόνο    🎯Ο στόχος μας   Να σχεδιάζουμε το αύριο, να εξελισσόμαστε και να καινοτομούμε, εξασφαλίζοντας σε όλους μας μια καλύτερη ζωή.    💼 Πως θα είναι η καθημερινότητά σου   Προσφέρεις καθημερινά να παρέχεις την καλύτερη δυνατή εμπειρία στον πελάτη! Διαχειρίζεσαι εισερχόμενες κλήσεις, διερευνάς τις ανάγκες του πελάτη και να τον καθοδηγείς. Ως μέλος της ομάδας, φροντίζεις για την πώληση ολοκληρωμένων λύσεων, προϊόντων και υπηρεσιών, συμβάλλοντας στην επίτευξη των στόχων του τηλεφωνικού κέντρου.    🚀 Έλα στην ομάδα μας, εάν έχεις   Ταλέντο στην επικοινωνία   Πάθος για την τεχνολογία  Διάθεση για συνεργασία  Ευχέρεια στην αγγλική γλώσσα   Άνεση στη χρήση Η/Υ  Ευελιξία εργασίας σε βάρδιες    💎Εδώ θα βρεις  Συνεχή εκπαίδευση σε νέες τεχνολογίες  Σημαντικές ευκαιρίες εξέλιξης και ανάπτυξης  Δυναμικό σχήμα bonus βάσει επίτευξης στόχων   Ομαδική ασφάλιση   Εκπτώσεις στα προϊόντα της εταιρείας μας  Δράσεις wellbeing    ⭐ Join #teamKotsovolos και βρες ένα περιβάλλον που προωθεί τις νέες τεχνολογίες, αγαπά να εξελίσσεται, αγκαλιάζει τη διαφορετικότητα και βρίσκεται δίπλα στην κοινωνία!