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Κατασκευαστικός Κλάδος / Τεχνικά Επαγγέλματα

Βιομηχανική Παραγωγή

Χρηματοοικονομικά

Αποθήκη / Logistics

Εταιρικές Πωλήσεις

Άλλο

Μεταφορές

Φροντίδα Κτιρίων / Σπιτιών

Διοίκηση Επιχειρήσεων

Εστίαση

Κέντρο Εξυπηρέτησης / Call Center

Marketing

Εργάτες

Φροντίδα Ζώων

Γραμματειακή Υποστήριξη

Επαγγέλματα Υγείας

Ανθρώπινο Δυναμικό / HR

Τουρισμός / Ξενοδοχεία

Αισθητική / Κομμωτήριο

ΜΜΕ / Social Media

Ναυτιλία

Προσωπικό Ασφαλείας

Τηλεπικοινωνίες

Νομικές Υπηρεσίες

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LastThreeDays

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Aoristou

Internship

Orismenou

FullTime

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Remote

💼&nbsp;Your everyday work-life&nbsp;<ul><li>Plan, coordinate, and deliver cross-company transformation projects from initiation to completion</li><li>Establish and maintain robust project governance, timelines, and reporting frameworks</li><li>Lead stakeholder engagement, ensuring alignment on objectives, scope, and success measures</li><li>Manage interdependencies across workstreams and escalate risks/issues where required</li><li>Oversee vendor and partner contributions to ensure contractual and delivery obligations are met</li><li>Adapt delivery approaches to suit project needs, working within Agile practices internally and PMP frameworks cross-group</li><li>Monitor and report progress against key milestones, KPIs, and budgets</li><li>Support change management and communication plans to ensure smooth adoption of outcomes</li></ul>&nbsp;🚀&nbsp;As an ideal fit, you should have<ul><li>Bachelor’s degree in Business Administration or a related field&nbsp;</li><li>Professional certification in project management (e.g., PMP, PRINCE2, Agile/Scrum Master) preferred</li><li>Experience in consulting, PMO, or transformation programs highly desirable</li><li>Solid understanding of both Agile and PMP methodologies</li><li>Experience managing external vendors and ensuring delivery to agreed terms</li></ul>&nbsp;💎&nbsp;What we offer&nbsp;<ul><li>Continuous training in new technologies and tools&nbsp;</li><li>Career development and growth opportunities&nbsp;</li><li>Competitive bonus scheme, performance-based&nbsp;</li><li>Internal wellbeing actions&nbsp;&nbsp;</li><li>Hybrid model</li></ul>&nbsp;⭐ Join&nbsp;#teamKotsovolos&nbsp;and be part of a team that promotes new technologies, loves to evolve, embraces diversity and is next to society.&nbsp;

Transformation & Partnerships Project Manager

💼&nbsp;Your everyday work-life&nbsp;<ul><li>Lead, mentor, and support all software Chapter Leads and engineers, including recruitment, capability development, and career growth</li><li>Define and enforce the engineering vision, standards, and best practices across all chapters</li><li>Oversee technical delivery and quality while ensuring alignment with Agile methodologies and modern architectures</li><li>Partner with Tribe Leads, Product Owners, and Delivery Managers to align engineering priorities with business objectives</li><li>Drive adoption of modern tools, technologies, and scalable engineering approaches</li><li>Monitor key engineering metrics (velocity, code quality, technical debt) and ensure continuous improvement</li><li>Represent development chapters in leadership and governance forums, promoting collaboration and transparency</li></ul>&nbsp;🚀 As an ideal fit, you should have&nbsp;<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field</li><li>3-5 years of experience in software engineering leadership and/or chapter lead roles</li><li>Proven experience managing multiple technical domains (Java, React, Node)</li><li>Demonstrated leadership experience in Agile frameworks and advanced software engineering practices</li><li>Experience leading Chapter Leads or cross-functional engineering teams</li><li>Excellent command of English, both written and spoken</li></ul>&nbsp;💎&nbsp;What we offer&nbsp;<ul><li>Continuous training in new technologies and tools&nbsp;</li><li>Career development and growth opportunities&nbsp;</li><li>Competitive bonus scheme, performance-based&nbsp;</li><li>Internal wellbeing actions&nbsp;&nbsp;</li><li>Hybrid Model</li></ul>&nbsp;⭐ Join&nbsp;#teamKotsovolos&nbsp;and be part of a team that promotes new technologies, loves to evolve, embraces diversity and is next to society.

Digital Factory Manager

As a Quality Engineering Manager / Senior Manager, you will be responsible for overseeing and guiding a team of 8-10 QE professionals with diverse skills and experience. You will ensure the effective delivery of high - quality testing services, including strategic oversight, governance, process standardization, and consultation to clients. You will play a critical role in driving client satisfaction, providing guidance on QA best practices and enabling the team to deliver successful project outcomes.During your tenure, your key responsibilities will involve:<ul><li>Develop and implement test strategies, plans, and processes, ensuring alignment with business requirements.</li><li>Develop and implement QA strategies, processes, and governance practices, ensuring alignment with client requirements and organizational standards.</li><li>Monitor and mentor a team of Quality Engineering professionals, providing guidance and support to maximize performance and professional growth.</li><li>Collaborate with clients to understand business objectives, propose QA approaches, and provide consultation on quality - related solutions.&nbsp;</li><li>Manage all phases of the testing lifecycle, ensuring effective planning, execution, defect management, and reporting</li><li>Identify areas for improvement and promote continuous enhancements of QA processes.&nbsp;</li><li>Promote and consult clients on QA best practices to improve overall project delivery quality and efficiency.</li><li>Support the adoption and integration of tools, frameworks, accelerators, and GenAI technologies to improve efficiency, repeatability, defect detection, and overall coverage.</li><li>Oversee project financials, including invoicing activities, ensuring alignment with contractual and organizational expectations.</li><li>Lead recruitment and onboarding of new team members, ensuring the right skills and capacity are in place to meet project demands.</li></ul>#WinningRequirements&nbsp;To qualify for the role, you must have:&nbsp;<ul><li>Bachelor’s or Master’s degree in Business Administration, Computer Science, Engineering, or a related field.&nbsp;</li><li>8-10 years of experience in Quality Engineering, including at least 5+ years in a lead or managerial role.&nbsp;</li><li>Experience in client management, including the ability to build strong relationships, manage expectations, and communicate effectively with stakeholders at all levels.&nbsp;</li><li>Excellent problem - solving skills, attention to detail, and the ability to think critically.</li><li>Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.&nbsp;</li><li>Experience in Energy sector will be considered a plus.</li><li>Military obligations fulfilled where applicable.&nbsp;&nbsp; &nbsp;</li></ul>

Quality Engineering Manager / Senior Manager

We are seeking a Lead Data Scientist with expertise in behavioral analytics to drive data-driven strategies for client onboarding, engagement, retention, and personalization. You will analyze customer behavior, develop predictive models, and deliver insights that enhance the client journey.&nbsp; As a key leader, you will collaborate across teams, mentor data scientists, and shape customer-centric analytics. Your work will fuel growth, optimize user experiences, and drive impactful business decisions.&nbsp; Join us to transform client engagement through the power of data!&nbsp;<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Client Acquisition: Utilise advanced analytics, and predictive modeling to drive client acquisition strategies.&nbsp;&nbsp;</li><li>Client Onboarding Optimisation: Analyse user behavior during onboarding to identify friction points and improve the overall user experience.</li><li>Client Segmentation: Develop and refine data-driven segmentation models to categorize clients based on behavior, demographics, and engagement.</li><li>Churn Prediction: Build predictive models to identify at-risk customers and collaborate with business teams to develop effective retention strategies.</li><li>Recommendation Systems: Design and implement personalized recommendation algorithms to enhance client engagement and drive cross-sell and upsell opportunities.</li><li>Machine Learning &amp; AI Implementation: Leverage advanced machine learning techniques (supervised, unsupervised, and deep learning) to extract meaningful insights from client behavior data.</li><li>A/B Testing &amp; Experimentation: Design, execute, and analyze A/B tests to optimize processes and improve decision-making.</li><li>Data-Driven Decision-Making: Work closely with product, marketing, and business teams to integrate data-driven insights into strategic initiatives.</li><li>Big Data Processing: Manage large-scale datasets, ensuring data quality, efficient feature engineering, and seamless data pipeline integration.</li><li>Leadership: Mentor and guide multiple teams, fostering innovation and technical excellence.</li><li>Stakeholder Communication: Present insights and model outcomes to non-technical stakeholders, translating complex data into actionable recommendations.</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>PhD or MSc in Data Science, Physics, Mathematics Computer Science or a related field&nbsp;</li><li>10+ years of experience in data science, with a focus on client behavior analytics. Experience within the fintech or e-commerce industry will be considered an advantage. &nbsp;</li><li>Hands-on experience with recommender systems (collaborative filtering, content-based filtering, hybrid models).&nbsp;</li><li>Strong experience with machine learning, deep learning, and statistical modelling.&nbsp;</li><li>Proven experience with big data analytics.&nbsp;</li><li>Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.&nbsp;</li><li>Experience with NLP/AI tools for customer interaction analysis.&nbsp;</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication skills to convey data-driven insights.&nbsp;</li><li>Proven leadership, team coaching, and management skills</li><li>Fluency in English.&nbsp;</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Lead Data Scientist

Our Client is seeking an experienced AI Engineer to join their growing AI team. You will be responsible for designing, building, and maintaining end-to-end artificial intelligence solutions that move from prototype to production, working with cutting-edge LLM technologies and modern AI frameworks.Key ResponsibilitiesAI Development &amp; Implementation<ul><li>Design and develop production-ready AI/ML systems and applications</li><li>Implement and fine-tune Large Language Models (LLMs) using frameworks like LangChain, OpenAI APIs, and Hugging Face</li><li>Build and optimize prompt/context engineering solutions and Retrieval-Augmented Generation (RAG) pipelines</li><li>Develop vector store embeddings and semantic search capabilities</li><li>Create multi-model orchestration workflows for complex AI applications</li></ul>Data &amp; Model Management<ul><li>Gather, preprocess, and manage large-scale datasets for model training</li><li>Develop and maintain machine learning models using TensorFlow, PyTorch, or similar frameworks</li><li>Implement model evaluation, monitoring, and observability mechanisms</li><li>Perform model versioning and lifecycle management using MLflow or similar tools</li></ul>Deployment &amp; Operations<ul><li>Deploy AI models to production using cloud platforms (AWS, Azure, or GCP)</li><li>Containerize applications using Docker and manage infrastructure with Kubernetes</li><li>Build and maintain RESTful APIs for model integration</li><li>Implement CI/CD pipelines for automated model deployment</li><li>Monitor model performance, drift, and system health in production</li></ul>Collaboration &amp; Innovation<ul><li>Work cross-functionally with product managers, data scientists, and DevOps teams</li><li>Translate business requirements into technical AI solutions</li><li>Stay current with emerging AI technologies and best practices</li><li>Document architecture, processes, and technical decisions</li></ul>Required QualificationsEducation<ul><li>Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related quantitative field</li><li>Master’s degree preferred</li></ul>Experience<ul><li>3+ years of hands-on experience putting Machine Learning models into production</li><li>Proven track record of developing and deploying AI/ML systems at scale</li><li>Experience with end-to-end ML lifecycle from data preparation to production deployment</li></ul>Technical Skills<ul><li>Programming: Expert-level proficiency in Python (required); Java or C++ is a plus</li><li>ML Frameworks: Deep expertise in TensorFlow and/or PyTorch</li><li>LLM Tools: Hands-on experience with LangChain, OpenAI APIs, or similar LLM frameworks</li><li>MLOps: Experience with MLflow, model versioning, and lifecycle management</li><li>Cloud Platforms: Proficiency with AWS SageMaker, Azure ML, or Google AI Platform</li><li>Containerization: Strong experience with Docker for creating reproducible environments</li><li>Orchestration: Knowledge of Kubernetes for scalable deployments</li><li>APIs: Experience developing and integrating RESTful APIs</li><li>Databases: Familiarity with both SQL and NoSQL databases</li></ul>Core Competencies<ul><li>Strong mathematical foundations (linear algebra, statistics, probability)</li><li>Deep understanding of machine learning algorithms and neural networks</li><li>Knowledge of distributed computing and scalable system design</li><li>Understanding of AI ethics, bias mitigation, and responsible AI practices</li><li>Excellent problem-solving and analytical skills</li><li>Strong communication skills for technical and non-technical audiences</li></ul>Preferred Qualifications<ul><li>Experience with Generative AI and prompt engineering techniques</li><li>Knowledge of vector databases (Pinecone, Weaviate, Chroma)</li><li>Familiarity with NLP, computer vision, or reinforcement learning</li><li>Experience with A/B testing and experimentation frameworks</li><li>Contributions to open-source AI/ML projects</li><li>Publications or research in AI/ML domains</li><li>Experience with real-time inference and low-latency systems</li></ul>What They Offer<ul><li>Competitive salary and equity package</li><li>Comprehensive health benefits</li><li>Professional development and learning opportunities</li><li>Flexible work arrangements (remote/hybrid options)</li><li>Cutting-edge AI technology stack</li><li>Collaborative and innovative team environment</li><li>Opportunity to work on impactful AI projects</li></ul>&nbsp;

AI Engineer

Currently, we are looking for a Full Stack Software Engineer to join their team in the banking sector. More specifically you will be involved in all development activities that range from coding to deployment, back-end to front-end, within a dedicated team of developers of modern enterprise applications.Key Responsibilities:<ul><li>Participate in the full software development lifecycle, from design to deployment, across back-end and front-end components.</li><li>Develop, maintain, and optimize applications built on .NET deployed on Azure Cloud.</li><li>Contribute to the transformation of legacy systems&nbsp; into modern microservices architectures.</li><li>Implement and maintain secure, scalable, and high-performance solutions with Kubernetes, Kafka, Redis, and Microsoft Firewall integrations.</li><li>Deliver high-quality front-end solutions with Angular, Typescript, and modern UI best practices.</li><li>Redesign front-end components and integrate with multiple platforms.</li><li>Work on database optimization and schema design, primarily MS SQL, but also Oracle SQL, Cosmos DB, and Redis.</li><li>Ensure performance, scalability, and indexing best practices are applied in database implementations.</li><li>Collaborate closely with cross-functional teams in an Agile environment.</li></ul>Qualifications:<ul><li>Proven expertise with C#, .NET Core, REST APIs.</li><li>Hands-on experience with Angular</li><li>Solid understanding of cloud technologies and containerization.</li><li>Experience with Kafka and Redis</li><li>Strong background in databases (MS SQL as primary, Oracle SQL, Cosmos DB).</li><li>Understanding of database indexing, schema design, and performance optimization.</li><li>Familiarity with microservices architecture and migration projects.</li><li>Strong problem-solving mindset, ability to handle both legacy systems and latest technologies.</li><li>Excellent communication and teamwork skills.</li></ul>Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction.</li><li>Unlimited access to LinkedIn Learning platform (1st semester).</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

Full Stack Developer (.NET/Angular)

Our Client is a leading European IT solutions provider, delivering modern and scalable digital platforms across industries such as healthcare, public services, finance, and more. With a strong culture of collaboration, knowledge-sharing, and continuous learning, their teams work with cutting-edge cloud and software technologies to build high-impact products that make a difference — with a special focus on quality and long-term software craftsmanship.About the RoleThey are seeking a Golang Developer to join a cross-functional Scrum team spread across Europe, collaborating closely with analysts, backend and frontend engineers, product designers, and project leads.The focus is on developing cloud-native services and solutions that support the healthcare domain — improving the experience and outcomes for end users and stakeholders.This role is ideal for someone who has strong backend engineering skills, enjoys writing clean and scalable code, and thrives in an Agile, knowledge-sharing environment.Key Responsibilities<ul><li>Maintain and expand Golang-based backend services</li><li>Design and develop new features based on functional and technical specifications</li><li>Build integrations with external applications and systems</li><li>Write clean, testable, and maintainable code (TDD mindset is a plus)</li><li>Work closely with cross-functional teams in an Agile/Scrum setup</li><li>Share knowledge and contribute to continuous improvement initiatives</li><li>Apply and expand knowledge in the healthcare domain</li></ul>Required Skills<ul><li>Strong working experience with Golang</li><li>Experience with backend development and system integrations</li><li>Good understanding of relational and NoSQL databases</li><li>Knowledge of REST APIs and gRPC</li><li>Experience with DevOps tools:</li><li>Terraform, Docker, Kubernetes, and CI/CD pipelines (GitLab or similar)</li><li>Solid understanding of software design principles &amp; design patterns</li><li>Strong communication and teamwork skills</li><li>Ability to work effectively with distributed teams</li></ul>Nice to Have (Not mandatory — a plus)<ul><li>Experience with Google Cloud Platform or other major cloud providers</li><li>Familiarity with frontend frameworks like Angular or Bootstrap</li><li>Previous experience in healthcare systems</li><li>Experience with AI-assisted development tools (or motivation to learn)</li><li>Understanding of application lifecycle management (Jira, Git, GKE, etc.)</li><li>Experience working in Scrum teams</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Ability to think analytically &amp; algorithmically</li><li>Proactive and reflective attitude</li><li>Passion for learning and knowledge-sharing</li></ul>What They Offer<ul><li>22 vacation days per year</li><li>Up to 6 training days per year</li><li>Private medical insurance</li><li>Learning &amp; development budget for certifications and trainings</li><li>A collaborative, international working environment</li><li>Room to grow professionally — both technically and career-wise</li><li>Many additional benefits on the way</li></ul>Why This Is a Great Opportunity<ul><li>Work with modern backend architecture in Golang</li><li>Active contribution to impactful digital healthcare solutions</li><li>Strong cloud and DevOps exposure in real projects</li><li>European cross-functional teams — high collaboration, high autonomy</li><li>Great environment for continuous learning and technical improvement</li></ul>

Golang Backend Engineer

Our Client &nbsp;is a leading software development company specializing in the implementation of large-scale Information and Communication Technology projects for the public sector. As part of their growth, they are seeking an IT Support Specialist to strengthen their IT team. The ideal candidate will be responsible for user technical support, managing the company’s Microsoft 365 &amp; Intune environment, and contributing to ISO 27001 compliance. In addition, they will manage IT assets (hardware, software, licenses) and handle IT equipment and services procurement.Duties &amp; Responsibilities<ul><li>Provide technical user support (1st &amp; 2nd level support)</li><li>Manage accounts, groups, and devices in Microsoft 365 &amp; Intune</li><li>Troubleshoot Windows and Linux operating system issues</li><li>Install, maintain, and update systems and applications</li><li>Manage IT assets: inventory, monitoring, and disposal of equipment and licenses</li><li>Handle and coordinate IT procurement (equipment, services, software)</li><li>Participate in improving security processes and ISO 27001 compliance</li><li>Document incidents and support actions</li></ul>Required Qualifications<ul><li>Degree in Computer Science or a related field</li><li>Minimum 2 years of experience in IT Support or System Administration</li><li>Excellent knowledge of Microsoft 365 (Exchange, Teams, SharePoint, OneDrive, Defender)</li><li>Experience with Intune (Device Management, Policies, Compliance)</li><li>Experience or familiarity with Microsoft Azure (AD, Entra ID, basic resource management)</li><li>Familiarity with Windows and basic Linux commands</li><li>Understanding of ISO 27001 principles and security best practices</li><li>Good command of English (spoken and written)</li></ul>Desired Qualifications<ul><li>Microsoft certifications (MS-900, MD-102, AZ-900)</li><li>Experience with ticketing systems (e.g., Jira, Zendesk)</li><li>Experience with IT Asset Management tools or procurement systems</li><li>Good scripting knowledge (PowerShell or Bash)</li></ul>

IT Support Specialist

The Tech Lead is responsible for providing technical leadership to the development team and designing architectural solutions for enterprise applications based on Java and Spring Boot. The role combines hands-on development with leadership responsibilities, ensuring the quality, security, and scalability of the delivered solutions.Role PurposeTo provide technical leadership and guidance to the development team, with the goal of delivering high-quality enterprise applications using Java Enterprise and Spring Boot technologies.Key Responsibilities<ul><li>Define technical standards and best practices for Java and Spring Boot development.</li><li>Mentor and guide team developers.</li><li>Ensure code quality through code reviews.</li><li>Design and implement architectural solutions for enterprise applications.</li><li>Collaborate with Solution Architects to align with the overall system architecture.</li><li>Actively participate in the development of critical modules.</li><li>Implement automated testing and CI/CD pipelines.</li><li>Provide technical effort estimations and timeline assessments. </li></ul>Core Tasks<ul><li>Define technical specifications and development standards.</li><li>Develop and maintain applications using Java 11+, Spring Boot, and Spring Cloud.</li><li>Manage databases such as PostgreSQL and MongoDB.</li><li>Integrate with CI/CD pipelines (GitLab, Jenkins).</li><li>Implement secure and scalable APIs.</li><li>Monitor and optimize application performance. </li></ul>Required Qualifications<ul><li>5+ years of experience in Java Enterprise development.</li><li>Strong expertise in Spring Boot, Spring Cloud, and RESTful APIs.</li><li>Solid knowledge of Microservices Architecture.</li><li>Hands-on experience with CI/CD, Docker, and Kubernetes.</li><li>Strong leadership skills and ability to communicate effectively with stakeholders.</li><li>Good understanding of application security and best practices. </li></ul>What They Offer<ul><li>A dynamic and collaborative work environment.</li><li>Opportunities for career growth and professional development.</li><li>Competitive salary and benefits package.</li><li>A chance to make a significant impact on the digital transformation of a leading organization.</li></ul>

IT/Java Tech Lead

This role is ideal for a backend engineer passionate about Java, cloud integration, and data workflows, with motivation to grow further in Azure Data Factory and cloud-native architectures.Key Responsibilities<ul><li>Design, develop, and maintain backend integrations using Java &amp; Spring</li><li>Build and optimize data pipelines using Azure Data Factory</li><li>Integrate APIs, external systems, and data sources into ADF workflows</li><li>Collaborate with cloud architects and data engineers on ETL/ELT solutions</li><li>Ensure integration solutions are secure, scalable, and well-documented</li><li>Participate in CI/CD pipelines, Agile ceremonies &amp; code reviews</li></ul>Required Skills &amp; Qualifications<ul><li>3+ years of experience in Java / Spring Cloud backend development</li><li>Strong knowledge of REST APIs, JSON &amp; integration patterns</li><li>Familiarity with Azure Data Factory (or strong willingness to learn)</li><li>Proficient in SQL and relational database concepts</li><li>Experience working with Git and CI/CD platforms</li><li>(Azure DevOps, GitHub Actions, Jenkins, etc.)</li><li>Solid understanding of cloud security principles</li></ul>&nbsp;Nice-to-Have Skills (not mandatory — a plus)<ul><li>Experience with Azure services: Azure Storage, Azure SQL, Key Vault, Azure Functions</li><li>Exposure to data engineering tools (Databricks, Synapse, Power BI)</li><li>Experience with messaging systems (Kafka, RabbitMQ, Service Bus)</li><li>Azure certifications (DP-203, AZ-900, AZ-104)</li><li>Agile/Scrum project experience (Jira, Confluence)</li></ul>What You’ll Find Here<ul><li>A supportive engineering culture with knowledge sharing &amp; ownership</li><li>A modern tech environment (Azure, DevOps, CI/CD, Cloud-native)</li><li>A chance to evolve in both Java and Azure integration services</li><li>Opportunities for growth into senior, architecture, or leadership roles</li></ul>What They Offer<ul><li>22 vacation days per year</li><li>Up to 6 training days per year</li><li>Private medical insurance</li><li>Learning &amp; development budget for certifications and trainings</li><li>A collaborative, international working environment</li><li>Room to grow professionally — both technically and career-wise</li><li>Many additional benefits on the way</li></ul>

Java Software Engineer

Θέσεις Εργασίας Αττική, Πληροφορική - Σελίδα 4

transformation & partnerships project manager

Kotsovolos

digital factory manager

Kotsovolos

quality engineering manager / senior manager

Deloitte

lead data scientist

XM

ai engineer

Code.Hub

full stack developer (.net/angular)

Code.Hub

golang backend engineer

Code.Hub

it support specialist

Code.Hub

it/java tech lead

Code.Hub

java software engineer

Code.Hub

Jobily.gr

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