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Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>3&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

Mid ML Engineer

Στην Optima bank χρίζουμε το μέλλον της τραπεζικής μέσα από την Τεχνητή Νοημοσύνη και προσκαλούμε νέους επαγγελματίες να γίνουν μέρος αυτής της διαδρομής. Στο AI Center of Excellence, ο ρόλος του/της AI Junior Engineer προσφέρει την ευκαιρία απόκτησης hands on εμπειρία σε έργα AI με πραγματικό επιχειρησιακό αντίκτυπο, συνεργασία με έμπειρα στελέχη και να εξέλιξη σε ένα σύγχρονο, υποστηρικτικό περιβάλλον.Κύριες αρμοδιότητες<ul><li>Συμμετοχή στον σχεδιασμό και την υλοποίηση λύσεων Τεχνητής Νοημοσύνης για την τράπεζα.</li><li>Υποστήριξη της ομαλής λειτουργίας εφαρμογών AI σε περιβάλλον παραγωγής.</li><li>Συμμετοχή στη συνεχή βελτίωση και εξέλιξη των AI λύσεων σε συνεργασία με ομάδες IT και Business.</li><li>Αξιοποίηση των σύγχρονων εργαλείων ΑΙ Microsoft Copilot.</li></ul>Απαιτούμενες δεξιότητες<ul><li>Πτυχίο σε Πληροφορική, Μηχανική Υπολογιστών, Μαθηματικά, Στατιστική, Data Science ή συναφή τομέα.</li><li>Βασική γνώση Machine Learning / Artificial Intelligence.</li><li>Καλή γνώση Python (ή/και R).</li><li>Εξοικείωση με εργαλεία και βιβλιοθήκες AI.</li><li>Κατανόηση βασικών εννοιών data processing και μοντέλων AI.</li><li>Εξοικείωση ή έντονη διάθεση εκμάθησης στη χρήση Microsoft Copilot / AI εργαλείων παραγωγικότητας.</li><li>Αναλυτική σκέψη, υπευθυνότητα και διάθεση για συνεχή μάθηση</li><li>Ικανότητα συνεργασίας σε ομάδες (IT, Business).</li><li>Πολύ καλή γνώση Αγγλικής γλώσσας.</li></ul>

Junior engineer, Officer - AI center of excellence

Intellectica is recruiting an experienced and highly skilled Principal Data Scientist on behalf of a newly established AI &amp; Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. This role reports directly to the CTO and plays a central role in defining and executing the company’s data science strategy.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Architecting innovative data science solutions that ensure scalability, robustness, and reliability across diverse domains</li><li>Leading product-level modeling strategies end-to-end, from research and prototyping to production deployment and monitoring</li><li>Defining and promoting best practices across the data science lifecycle, aligned with the company’s MLOps operating model</li><li>Coaching and mentoring senior data scientists, fostering skill development and consistency across teams</li><li>Collaborating with ML and Site Reliability Engineers to shape the AI infrastructure roadmap and technology portfolio</li><li>Advising on business development strategy, identifying market opportunities where AI offers a competitive edge</li><li>Translating complex operational challenges into data-driven solutions for public sector clients and partners</li><li>Driving exploration and adoption of emerging technologies such as distributed LLM inference, foundational model fine-tuning, and simulation-based ML</li><li>Contributing to the development of Verification &amp; Validation methods for AI in safety- and mission-critical contexts</li><li>Ensuring secure and responsible use of AI across all projects</li><li>Representing the company in external conferences, expert panels, and consortia, leading thought leadership in defense-focused AI</li></ul>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>PhD or equivalent graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field</li><li>Minimum 8 years of experience in advanced data science and machine learning, with a strong track record of production-level solution delivery</li><li>Deep proficiency in Python and its ML ecosystem (e.g., Pandas, NumPy, PyTorch, TensorFlow, Hugging Face)</li><li>Expertise in full ML workflows including data engineering, model design, training, deployment, and lifecycle management</li><li>Proven experience with large-scale or distributed ML systems (e.g., Ray, PyTorch Lightning, Horovod)</li><li>Demonstrated proficiency in at least two of the following: large language models, computer vision, multimodal learning, generative AI</li><li>Hands-on experience integrating ML models into operational systems with real-time performance monitoring</li><li>Familiarity with cloud-native and high-performance computing environments (AWS, Azure, GCP, or on-prem HPC)</li><li>Experience with computer vision algorithms (e.g., R-CNN, YOLO)</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Excellent communication and interpersonal skills to engage effectively with internal and external stakeholders across all levels</li><li>Strategic thinker with ability to align research with mission needs</li><li>Inspiring leader and mentor across data science teams</li><li>Fast and creative prototype builder</li><li>Decisive in ambiguous, high-stakes situations</li><li>Resilient and adaptable in dynamic environments</li><li>Collaborative and alignment-driven across teams and partners</li></ul>

Senior Data Scientist

Energean is seeking a motivated and capable AI &amp; Data Engineer to join our team in Athens and support the delivery of digital, data, and AI-driven solutions across a dynamic Oil &amp; Gas Group.&nbsp;Reporting to the Head of Business Solutions &amp; ERP, this role is ideal for an early to mid-career professional with a strong academic background and hands-on experience in data engineering, software development, data management, and modern Microsoft technologies.&nbsp;The successful candidate will contribute to the design, development, and continuous improvement of scalable data pipelines, analytic platforms, and AI solutions that enhance business operations, decision-making, and process efficiency across the organization.&nbsp;Key Accountabilities&nbsp;<ul><li>Contribute to the design, development and deployment of data platforms and AI-driven solutions in collaboration with internal stakeholders and external partners</li><li>Build, optimise, and maintain SQL queries, data models, and database structures for reporting, analytics and business intelligence</li><li>Develop data pipelines and workflows to ingest, transform, and manage structured and unstructured data</li><li>Develop and implement automations, applications, and AI-enabled solutions using Microsoft technologies (e.g. Power Platform, Azure AI, Copilot Studio), SAP, and other tools</li><li>Translate business requirements into scalable technical solutions, ensuring alignment with business needs and best practices</li><li>Support testing, troubleshooting, documentation, and continuous improvement of digital and AI solutions</li><li>Ensure data quality, integrity, and governance standards are maintained across solutions</li></ul>&nbsp;Qualifications and Experience&nbsp;<ul><li>1–4 years of relevant experience in data engineering, software development, or similar roles</li><li>Degree in Computer Science, Engineering, IT, or a related discipline</li><li>Hands-on experience with SQL, data modelling, and relational databases</li><li>Experience with Microsoft ecosystem (e.g. Power Platform, Azure services, Copilot Studio)</li><li>Programming experience in Python or other modern programming languages</li><li>Exposure to data visualization tools (e.g. Power BI) and analytics solutions</li><li>Basic understanding of AI, machine learning, and/or generative AI concepts</li><li>Familiarity with APIs, data integration, and automation tools will be considered an asset</li><li>Exposure to enterprise systems (e.g. SAP) and business processes is a plus</li><li>Excellent command of English (written and verbal)</li></ul>&nbsp;Skills&nbsp;<ul><li>Strong analytical thinking and problem-solving capabilities</li><li>Proactive, detail-oriented, and results-driven mindset</li><li>Ability to work both independently and collaboratively in a fast-paced environment</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders</li><li>High level of ownership and accountability</li></ul>&nbsp;Rewards:We offer a competitive remuneration and benefits package including private medical insurance, pension plan, life insurance, and continuous learning and career development opportunities within a growing international organization.&nbsp;If you are passionate about data, AI, and building impactful digital solutions in a complex and evolving industry, we would love to hear from you.

AI & Data Engineer

Intellectica is recruiting a highly skilled Autonomous Systems Engineer for a newly established AI &amp; Machine Learning spinoff within a leading aerospace, defense, and high-technology group, based in Psixiko, Atttiki, operating under a hybrid working model. Reporting directly to the CTO, the ideal candidate will play a key role in shaping and executing the company’s AI and data science strategy while contributing to the design, development, and optimization of intelligent autonomous systems. Working across the full autonomous systems stack, with close collaboration among engineers, AI specialists, and platform teams, the candidate will deliver scalable, reliable, and high-quality solutions.&nbsp;&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Contribute to the design, development, and optimization of software components for AI-driven and autonomous systems</li><li>Develop and maintain robust, scalable software using C++ and Python, ensuring code quality through best practices and peer reviews</li><li>Support the implementation of core modules, including perception, localization, planning, sensor integration, and system orchestration</li><li>Collaborate on architecture design, system integration, and technical enhancements, working closely with senior engineers and cross-functional teams</li><li>Integrate and validate autonomous frameworks and middleware solutions (e.g., ROS/ROS2), including work within simulation and validation environments</li><li>Contribute to AI/ML integration and development of software interacting with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)</li><li>Support CI/CD pipelines, Dockerized environments, and deployment processes, including troubleshooting and performance optimization across development and production</li><li>Ensure system quality, reliability, and safety across the full software lifecycle while contributing to a strong engineering culture</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Electrical &amp; Computer Engineering, Robotics, Mechanical Engineering, or a related technical field</li><li>1+ years of professional experience in Software Engineering, Robotics, or Autonomous Systems, with hands-on expertise in C++ and Python</li><li>Solid understanding of autonomous systems concepts, including perception, localization, sensor fusion, planning, or control</li><li>Strong foundation in software engineering fundamentals, including algorithms, data structures, object-oriented design, and Linux-based development</li><li>Experience with Git, collaborative development workflows, debugging, and writing maintainable, testable code</li><li>Familiarity with APIs, multithreading, containerization, and modern software development practices</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and problem-solving skills, combined with a structured and detail-oriented way of working</li><li>Ability to work independently while collaborating effectively within cross-functional teams, with clear communication of technical concepts</li><li>Genuine passion for autonomous systems, robotics, and AI-driven technologies</li><li>Growth mindset with willingness to learn, openness to feedback, and commitment to continuous improvement in a fast-paced environment</li></ul>

Autonomous Systems Engineer

Intellectica is recruiting an AI Foundation Model Specialist on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design, development, and delivery of advanced AI solutions, ensuring alignment with business objectives and scalable technology standards</li><li>Developing, testing, and deploying Generative and Agentic AI applications, including agent-based workflows</li><li>Implementing Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, advanced prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning techniques, and integrate both open-source and general-purpose AI systems</li><li>Collaborating with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure)</li><li>Cooperating with Data &amp; AI Architects to design robust and scalable AI product architecture</li><li>Optimizing AI applications for performance, scalability, and accuracy</li><li>Coaching and mentoring junior AI Engineers in developing and integrating key AI application components</li><li>Any other task that may be required from time to time</li></ul>Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 2 years’ hands-on programming experience in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, Deep Learning, or related fields</li><li>Proficiency in programming languages such as Python, Java, or C++</li><li>Hands-on experience with Large Language Models (LLMs) such as GPT, Bard, or LLaMA, as well as image generation systems like DALL·E, Stable Diffusion, or MidJourney</li><li>Solid understanding of core Generative AI principles, including fine-tuning, prompt engineering, and integration of open-source and general-purpose AI systems</li><li>Proven ability to architect and operate solutions built on core LLM and Generative AI technologies, including open-source frameworks, Azure OpenAI, and Amazon Bedrock</li><li>Strong background in RESTful APIs and microservices-based architectures</li><li>Familiarity with GPU-based computing infrastructure, relational and NoSQL databases as well as cloud services related to AI/ML&nbsp;will be considered a plus</li><li>Fluent in Greek with professional-level English communication skills</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Clear and confident communicator across cross-functional teams and stakeholders</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Foundation Model Specialist

Participates in digital transformation initiatives within manufacturing operations. Focuses on automation, system integration, and Industry 4.0 solutions, bridging IT and operational technology (OT) environments. The position requires a strong technical background, particularly in software development, to effectively manage complex manufacturing-related IT projects.Responsibilities:<ul><li>Designing, developing, and testing automation solutions within machinery and industrial environments</li><li>Identifying opportunities for process optimization through digital technologies</li><li>Supporting and contributing to Industry 4.0 initiatives, including smart factory concepts and data-driven manufacturing</li><li>Eliminating defects and errors within product and software development</li><li>Participating in and complying with quality and IT standards, cybersecurity requirements, and industrial best practices</li><li>Implementation and maintenance of custom software solutions, including machine-to-machine (M2M) integration</li><li>Collaborating with cross-functional teams to implement Manufacturing Execution Systems (MES)</li></ul>Qualifications:<ul><li>Bachelor’s degree in electrical engineering, software engineering, or a similar field</li><li>Advanced English skills (verbal and written communication)</li><li>Proficiency in maintaining automation systems and industrial IT/OT integrations</li><li>Understanding of robotics (ROS), AI, and machine learning</li><li>Advanced troubleshooting, multitasking, and analytical skills</li><li>Proficiency in a compiled programming language such as Python, C#, VBA, Java, or other selected languages</li><li>Familiarity with IoT, OPC UA, MQTT, or similar industrial communication protocols</li><li>Exposure to lean manufacturing or continuous improvement initiatives</li><li>Strong willingness to adapt and overcome challenging situations, and ability to keep up with the latest technologies</li></ul>

IT Project Manager

Everllence Hellas Ltd is looking for a Senior Data Engineer. The role requires you to work independently with strong ownership, while thriving in a collaborative, international team environment. You’ll build and maintain reliable data pipelines and ELT/ETL systems that power analytics, AI, machine learning, and data products across the organization.We can offer you the following tasks<ul><li>Shape the future of our digital solutions that boost performance, cut costs, and reduce emissions for global clients.</li><li>Design, build, and test scalable components for our next-generation digital platforms.</li><li>Collaborate with industry experts to develop and maintain advanced tools and analytics for monitoring engine fleets.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines on our lakehouse to power analytics, AI/ML, and data products.</li><li>Develop robust data models (dimensional, medallion/lakehouse) that ensure accuracy, performance, and reusability.</li><li>Ensure data discoverability, security, and governance in close partnership with Data Governance, Security, Product, and Platform teams.</li><li>Establish observability (monitoring, alerting, logging, data quality checks) and contribute to platform operational excellence.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul>You can help us with these qualifications<ul><li>Degree in Computer Science, Software/Data Engineering, or a related field (or equivalent experience).</li><li>Proven experience building highly available, cost-efficient data platforms and pipelines at scale.</li><li>Primary: Databricks, Spark, SQL, Python, data modelling / lakehouse design, AWS &amp; ETL/ELT.</li><li>Secondary: Workflow orchestration (Databricks Workflows, Airflow, Argo or similar), Kafka, cloud storage.</li><li>Nice to have: Kubernetes, platform migration experience, observability tooling</li><li>A growth mindset: curious, adaptable, and committed to continuous learning and knowledge sharing.</li><li>Excellent communication skills in English and a collaborative approach to international teamwork.</li><li>Self-driven, results-oriented, and a true team player.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package</li><li>Conference Budget</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Senior Data Engineer

What impact will you make?#YourOpportunityWe are currently seeking for enthusiastic and self - driven Data Scientist professional with exceptional analytical skills and experience in consulting or financial services to become part of our rapidly growing Financial Risk Management team in our offices in Athens.Our Financial Risk Management (FRM) practice constitutes the fastest growing team in the local market with a proven track record of delivering large scale engagements across the industry during the recent past. Our practice forms part of Deloitte’s North South Europe (NSE) “One_FRM” initiative which brings together risk professionals from the UK, Italy, the Netherlands, Belgium, the Nordics, Switzerland, Ireland and Greece into one single team thus representing an excellent opportunity to join forces and fulfil the core principle of Deloitte to act “as one” at European level with the aim to continue offering “state of the art” and value-adding propositions to our clients and solve “real world” problems faced by Financial Institutions in Greece and abroad.We offer to our clients comprehensive solutions in the wide spectrum of financial risk areas focusing on credit and market risk as well as capital management, liquidity and treasury risk as a response to industry-wide challenges.If you are ready to advance your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you are ready to join Deloitte’s Financial Risk Management practice.#YourRoleDeloitte is a leading provider of Financial Risk Management Advisory services and thus offers the opportunity to work on high-profile projects and clients that are leaders in the industry.Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and implement&nbsp;machine learning models&nbsp;for risk use cases such as:o&nbsp;&nbsp; credit scoring and risk segmentationo&nbsp;&nbsp; early warning systemso&nbsp;&nbsp; anomaly and fraud detectiono&nbsp;&nbsp; stress testing and scenario analysis·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design and deploy&nbsp;Generative AI solutions, including:o&nbsp;&nbsp; automation of risk reporting and documentationo&nbsp;&nbsp; intelligent data extraction and summarization·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Apply&nbsp;advanced statistical and quantitative techniques&nbsp;to large datasets·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with risk and business teams to&nbsp;translate requirements into analytical models·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support&nbsp;model deployment and industrialization&nbsp;(APIs, pipelines, cloud environments)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure alignment with&nbsp;model risk management (MRM)&nbsp;practices·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare high-quality&nbsp;client deliverables and presentations#WinningRequirementsWe are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2-5 years of relevant experience in&nbsp;banking or financial services, exposure to&nbsp;risk management use cases&nbsp;(credit, market, liquidity) is highly desirable·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong background in&nbsp;machine learning, statistics, and quantitative modeling·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proficiency in&nbsp;Python&nbsp;(pandas, scikit-learn, TensorFlow/PyTorch)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with&nbsp;Generative AI / LLMs&nbsp;(prompt engineering, RAG, fine-tuning)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience delivering&nbsp;AI/ML solutions in production environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of&nbsp;data engineering concepts&nbsp;(SQL, ETL, pipelines)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of data visualisation tools and ability to create dashboards and reports·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to explain complex models to non-technical stakeholders·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong communication and presentation skills·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work in cross-functional teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Problem-solving&nbsp; mindset#AboutDeloitteOur servicesDeloitte operates in Greece since 1975, as a member of one of the world’s largest professional services networks, Deloitte Touche Tohmatsu. With offices in Athens, Thessaloniki, Heraklion, Patras and Ioannina, Deloitte Greece employs more than 2,900 professionals.After 50 years of successful and dynamic presence in the Greek market, we bring an unmatched breadth and depth of expertise across audit and assurance, technology &amp; transformation, tax &amp; legal and strategy, risk &amp; transactions advisory services. Operating in a multidisciplinary model enables us to draw from a pool of world-class talent, identifying the ideal skillset for each project, and to collaborate across businesses, to solve the toughest, most challenging issues of our clients. It is with them that we have built a trusted relationship, by delivering innovative solutions and utilizing state-of-the-art tools and technologies across all industries- Consumer Products, Energy Resources &amp; Industrials, Financial Services, Life Sciences &amp; Health Care, Government &amp; Public Services, Technology, Media &amp; Telecommunications.Our PurposeOur purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.Our valuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.We value difference, with respect at the heart of our inclusive culture.Our talent experienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day.Sounds like the sort of role for you? Apply now.

Data Scientist - AI / GenAI for Financial Risk Management

As an Industrial Automation Engineer your role will be to participate and contribute in the Research, Development and Construction of Industrial Automation Systems for Machines &amp; Industrial Technologies required for BIC Products Industrialization, Production Lines Extension and Improvement of Existing Production Machines.In this role you will:&nbsp;<ul><li>Contribute in projects and tasks related to IIoT and Industry 4.0 Technologies</li><li>Contribute in investigations in the field of Industrial Automation through research studies</li><li>Participate and contribute in the development, design and implementation of the control systems for the new machines and processes</li><li>Contribute in the debugging, testing, delivery start up of the new machines in collaboration with the Machine Construction Team</li><li>Contribute in the improvements of the existing Production Machines and Processes</li></ul>What you'll bring to BIC:&nbsp;<ul><li>Technical University Degree in Electrical/Electronic Engineering in Industrial Automation field</li><li>Post-graduate studies in Electrical/Electronic or Industrial Automation Technologies</li><li>3 years’ experience on Industrial Automation is desirable</li><li>Advanced knowledge of English language (both written and verbal)</li><li>Machine Data Analytics and Deep Learning</li><li>Industrial Automation Technologies / Industrial Networks&nbsp;</li><li>Electronics Design</li><li>PLC / Visio systems Programming</li><li>Servo Motors / Robotics</li><li>Pneumatics / Mechanics</li><li>Metrology</li><li>Mechanical Drawing Understanding</li><li>Drive for results</li><li>Contributing to Team Success</li><li>Collaboration</li><li>Communication</li><li>Ingenuity and simplicity</li><li>Adaptability/Flexibility</li></ul>

Industrial Automation Engineer

We are currently looking for an&nbsp;Advanced Analytics Engineer&nbsp;to join our&nbsp;Metallurgy&nbsp;sector Technology team in our industrial complex facilities located in&nbsp;Paralia Distomou,&nbsp;Viotia.&nbsp;Your role will encompass:• &nbsp; &nbsp;Analyze large and complex datasets to identify trends, patterns, and insights. • &nbsp; &nbsp;Develop and implement machine learning models to solve business problems such as process engancement, predict equipment failure, improve energy efficiency, optimize consumption of raw materials, etc. • &nbsp; &nbsp;Collaborate with cross-functional teams to integrate data-driven solutions into our metallurgy products and services. • &nbsp; &nbsp;Create and maintain data pipelines to ensure the availability and integrity of data. • &nbsp; &nbsp;Create visualizations and reports to present findings and recommendations to stakeholders in a clear and actionable manner. • &nbsp; &nbsp;Stay up-to-date with the latest trends and technologies in data science and the operation excellence sector. • &nbsp; &nbsp;Work with engineers, and other stakeholders to implement data-driven solutions in the metallurgy sector. What you bring to the role:&nbsp;• &nbsp; &nbsp;Bachelor's and/or Master's degree in Data Science, Computer Science, Statistics, or a related field. • &nbsp; &nbsp;Minimum of 1-2 years of experience as a Data Scientist, preferably in the industrial sector. • &nbsp; &nbsp;Excellent command of the Greek and English language. • &nbsp; &nbsp;Strong Python, R, and SQL skills, with experience in statistical analysis, data visualization, machine learning frameworks, and big data technologies (e.g. TensorFlow, Spark, Kafka).&nbsp; • &nbsp; &nbsp;Analytical, detail oriented problem solver with the ability to manage multiple projects in cross functional teams.&nbsp; • &nbsp; &nbsp;Clear communicator able to translate complex data insights for non technical stakeholders, with interest in Azure and emerging technologies.&nbsp;Share the same Value Based Behaviors:&nbsp;• &nbsp; &nbsp;People &amp; Personal growth&nbsp; • &nbsp; &nbsp;Results orientation &amp; Safety excellence&nbsp; • &nbsp; &nbsp;Collaboration &amp; Trust&nbsp; • &nbsp; &nbsp;Empathy &amp; Effective communication&nbsp; • &nbsp; &nbsp;Flexibility &amp; Adaptability Your Benefits:&nbsp;•&nbsp;&nbsp; &nbsp;Competitive remuneration package •&nbsp;&nbsp; &nbsp;Group Health Insurance program •&nbsp;&nbsp; &nbsp;Pension Plan&nbsp; •&nbsp;&nbsp; &nbsp;Collaborative and inclusive work environment that values diversity and innovation •&nbsp;&nbsp; &nbsp;Continuous learning and professional development opportunities &nbsp;

Advanced Analytics Engineer

Everllence Hellas Ltd is looking for a&nbsp;Junior DevOps Engineer to help us build a&nbsp;Self-Service AWS platform&nbsp;and support our developers with infrastructure.&nbsp;Group Digital is where DevOps meets real industrial impact. We build the digital backbone that connects Everllence’s global machinery with modern cloud platforms and data services.Our DevOps engineers design the tools, automation, and infrastructure that enable teams to deliver reliable software at scale. From CI/CD pipelines and cloud platforms to IoT data pipelines, your work directly supports systems powering global industries.You’ll work in an international engineering environment where experimentation is encouraged, ideas are valued, and technical excellence is a shared goal.As a Junior Engineer, you will work alongside seniors to help us experiment with&nbsp;ephemeral environments&nbsp;and&nbsp;AI-driven workflows&nbsp;for the first time.In our team, there are no silos. You will work in a friendly, flat environment where you will be mentored by seniors and encouraged to take on&nbsp;Scrum Master tasks. This is a role for someone who loves both the technical "how" and the agile "why."We can offer you the following tasks<ul><li>Helping build and evolve our internal Self Service AWS platform using Terraform, GitOps workflows, and modern AWS services.</li><li>Collaborating with senior engineers to design and prototype ephemeral environments and AI assisted developer workflows.</li><li>Joining the team’s rotation for platform support, helping developers troubleshoot AWS, CI/CD, and environment-related issues.</li><li>Improving automation, writing small scripts, and simplifying the developer experience across the platform.</li><li>Participating in agile ceremonies and occasionally stepping into Scrum Master responsibilities to help keep the team aligned.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>AWS &amp; Terraform: You know the basics of provisioning cloud resources via code.</li><li>Networking: Solid fundamentals, with an eagerness to learn Cilium.</li><li>GitOps: Experience or strong interest in ArgoCD and GitLab CI.</li><li>Empowerment Mindset: You enjoy making things easier for other people.</li><li>Agile Participation: A genuine willingness to help with Scrum tasks and sprint planning.</li><li>Any experience with containerization (Docker/Kubernetes), Basic Python or Bash skills to help automate self-service tasks will be considered a plus.</li></ul>Our Culture<ul><li>Enablement over Gatekeeping: We believe in empowering developers, not restricting them.</li><li>Full-on AWS: We leverage the best of the AWS ecosystem.</li><li>New Tech: From Cilium to AI-driven workflows and ephemeral testing, we want to move to new technologies.</li><li>Flat &amp; Friendly: We work in a highly cooperative, agile manner where planning is a shared responsibility.</li><li>Communicative: You are a proactive team player who is comfortable reaching out to support others. Whether you are helping a developer debug or facilitating a sprint, you communicate with clarity and kindness.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Junior DevOps Engineer

Everllence Hellas Ltd is looking for a&nbsp;Senior Software Engineer. The job requires you to be able to work independently while you have a keen sense of community as well can work in teams.We can offer you the following tasks<ul><li>Shape the future of our digital solutions that boost performance, cut costs, and reduce emissions for global clients.</li><li>Design, build, and test scalable components for our next-generation digital platforms.</li><li>Collaborate with industry experts to develop and maintain advanced tools and analytics for monitoring machine fleets.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>A growth mindset: You are curious, adaptable, and ready to learn continuously.</li><li>Proven experience building highly available, responsive, and cost-efficient software systems.</li><li>Strong programming skills in modern languages and frameworks: HTML, CSS, TypeScript (Angular, NgRx, RxJS). Bonus points for Python or Java.</li><li>Hands-on experience with Microservices architecture using Golang.</li><li>Familiarity with agile practices and test-driven development.</li><li>Passion for exploring new technologies—including turbomachinery—and sharing knowledge with peers.</li><li>Excellent communication skills in English and a collaborative approach to international teamwork.</li><li>Self-driven, results-oriented, and a true team player. Team spirit is paramount to you, as it is to us. You work autonomously, are highly motivated, and results-oriented.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package&nbsp;</li><li>Conference Budget</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Senior Software Engineer

As a Platform Technical Lead – Data, MLOps &amp; Virtualization, you will play a key role in ensuring the operational resilience, engineering coherence, and production readiness of critical enterprise platforms across database services, machine learning operations, and virtualization infrastructure.You will lead modernization and transition initiatives across multiple technology towers, balancing operational stability with platform evolution. Acting as a senior technical authority, you will coordinate engineering activities, recovery readiness, infrastructure transitions, and service improvements while ensuring dependencies across platforms are proactively managed.Your role:<ul><li>Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure.</li><li>Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity.</li><li>Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams.</li><li>Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance.</li><li>Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers.</li><li>Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives.</li><li>Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability.</li><li>Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence.</li><li>Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies.</li><li>Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments.</li><li>Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems.</li><li>Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms.</li><li>Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling.</li><li>Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs.</li><li>Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices.</li><li>Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments.</li><li>Strong analytical, troubleshooting, stakeholder management, and communication skills.</li><li>Ability to balance operational reliability with modernization and platform evolution objectives.</li><li>Fluent in English (written and spoken).</li></ul>

Platform Technical Lead – Data, MLOps & Virtualization

We are looking for a Senior Health Claims Expert – Individual Claims to join our Life &amp; Health Claims Division. In this role, you will lead initiatives to detect, prevent, and mitigate Fraud, Waste, and Abuse (FWA) across health insurance claims, combining deep operational expertise with advanced analytics. You will collaborate closely with data scientists, engineers, and compliance teams to design and implement solutions that strengthen claims integrity and minimize financial risk.What You Will Do:Claims Expertise &amp; Oversight<ul><li>Provide subject matter expertise on health claims processes, adjudication rules, and regulatory compliance.</li><li>Review and validate claim patterns, anomalies, and high‑risk indicators identified through analytics.</li></ul>Collaboration with Data Teams<ul><li>Partner with data analysts and engineers to define business requirements for FWA detection models.</li><li>Translate operational insights into data features used in predictive modeling and anomaly detection.</li><li>Validate model outputs and ensure alignment with business logic and balanced risk‑based decisions.</li></ul>Fraud Detection &amp; Prevention<ul><li>Support the development of advanced FWA strategies leveraging analytics, AI, and rule‑based systems.</li><li>Contribute to the creation of dashboards and reporting tools for monitoring suspicious claim behaviors.</li><li>Recommend corrective actions and process improvements based on analytical findings.</li></ul>Stakeholder Management<ul><li>Communicate complex analytical insights to non‑technical stakeholders in a clear and actionable manner.</li><li>Train claims teams (including TPA partners) on emerging fraud trends and data‑driven prevention techniques.</li></ul>What You Bring:Required<ul><li>8+ years of experience in health claims management, including at least 3 years in fraud detection.</li><li>Familiarity with analytics concepts (predictive modeling, anomaly detection).</li><li>Ability to work with SQL and dashboards (Power BI/Tableau), and understand data pipelines.</li><li>Strong understanding of the health insurance market, coding standards, and claims workflows.</li><li>Excellent analytical thinking, communication, and stakeholder engagement skills.</li></ul>Preferred<ul><li>Exposure to machine learning applications in healthcare.</li><li>Experience with FWA tools (e.g., SAS Fraud Framework).</li><li>Certification in fraud examination (CFE) or healthcare compliance.</li></ul>What We Offer:• Extensive training opportunities – on-demand and on-site • Partnerships with educational institutions across Greece for advanced study, with tuition support • Comprehensive Health Insurance for peace of mind and financial protection • Well-being support and work–life balance • One‑time budget for home-office equipment • Recognition and rewards for excellence • Monthly meal allowance • Newly renovated, centrally located offices with easy access

Senior Health Claims Expert (Individual Claims)

UNIC Athens, the University of Nicosia's academic and research base in Greece, combining internationally ranked teaching with state-of-the-art facilities, is seeking a Senior Campus Sensor &amp; Systems Operations Engineer&nbsp;to join its team.This role owns the on-campus hardware layer that feeds our data and AI platforms: antennas, receivers, environmental stations, cameras, radars, timing systems, and the on-prem servers that tie them together. You’re the person who makes sure “the machines are alive” and the data keeps flowing.The work is hands-on, rooftop and rack-level, plus enough Linux and networking to keep a small sensor observatory running smoothly.&nbsp;Responsibilities:&nbsp;Keep a campus-scale sensor observatory onlineMonitor health of diverse sensors: RF receivers, satellite downlinks, short-range radars, optical/IR cameras, acoustic arrays, seismic/structural, weather, and air-quality stations.Diagnose issues across power, RF signal, network, and compute layers; coordinate timely fixes.Maintain inventories, diagrams, and simple runbooks for each subsystem.Operate on-prem compute and storage nodesMaintain a small fleet of Linux servers dedicated to signal processing, media ingest, and sensor fusion.Handle OS updates, basic security hardening, disk/CPU monitoring, and log rotation.Work with central platform engineers to ensure data lands in the right queues/buckets/streams.Manage power, networking, and timing for sensorsOversee PoE switches, rooftop cabinets, UPS feeds, and basic environmental monitoring.Ensure reliable fibre/copper connectivity between rooftop cabinets, comms rooms, and core network.Operate and monitor GNSS-based timing / reference equipment used for precise time-stamping.Support installation, maintenance, and calibrationPlan and execute sensor deployments and relocations (roof, mast, dish frame, façades) with facilities.Coordinate periodic calibrations (e.g. weather, air quality, structural/ground sensors) with vendors and internal teams.Enforce safe working practices for rooftop and equipment-room work.Act as the bridge between campus and platform teamsReport status of on-campus systems and upcoming maintenance windows.Help test new data feeds, firmware updates, and configuration changes before they go to production.Provide clear feedback on physical constraints and operational realities back to architects and data/AI teams.Additionally:Daily / weekly operational checks on key systems, with clear escalation when something drifts or fails.Set up and maintain monitoring dashboards and alerts (metrics, logs, basic traces) for sensors and compute.Script routine tasks in Bash/Python (health checks, log scrapes, simple data sanity checks).Coordinate with vendors and contractors for specialized repairs and installs.Maintain accurate documentation (rack layouts, IP plans, cabling runs, rooftop layouts, change logs).&nbsp;Qualifications:&nbsp;Education:<ul><li>A BSc in Computer Engineering, or Electrical Engineering or related field.</li></ul>&nbsp;Experience:4+ years in a systems / field / instrumentation / NOC / SRE-style role, working with real hardware (not just cloud).&nbsp;Required Skills:&nbsp;Solid Linux experience (Ubuntu or similar): networking, system services, storage, logging.Strong practical networking skills: VLANs, PoE switches, fibre vs copper, basic routing, VPNs.Hands-on experience with at least some of:Environmental or industrial sensors (weather, air quality, structural, seismic, etc.), orRF / broadcast / telecom equipment, orCCTV / video analytics / radar / acoustic sensing.Comfortable reading wiring diagrams, labelling cables, and keeping tidy racks/cabinets.Able to work safely on rooftops and with facilities teams; familiarity with basic electrical and lightning/surge safety.Clear written documentation skills and enough English to collaborate with remote engineering teams.&nbsp;Additional Skills:&nbsp;Experience running or supporting a small observatory, lab, broadcast site, or similar multi-sensor facility.Exposure to GNSS timing, NTP/PTP, or other time-synchronization systems.Familiarity with Prometheus/Grafana or similar monitoring stacks.Basic RF concepts (antennas, coax, gain/noise, filters) or environmental monitoring concepts (calibration, QA/QC).Greek language skills and prior work on a university or research campus.&nbsp;What success looks like:Within a few weeks, you know every major sensor, cabinet, and server by name and location.Within a few months, outages are rare, short, and well-understood, with clear runbooks and monitoring in place.The data and AI teams treat the campus observatory as a reliable “black box” they can build on, because you keep it that way.

Senior Campus Sensor & Systems Operations Engineer - UNIC Athens

Everllence Hellas Ltd is looking for a&nbsp;Senior DevOps Engineer to help us build a world-class developer experience. We don’t want to be a bottleneck; we want to be an enabler. We are moving heavily toward Self-Service and want to go towards Ephemeral Environments, ensuring our developers have the power to spin up what they need, when they need it, for development and testing.&nbsp;Group Digital is where DevOps meets real industrial impact. We build the digital backbone that connects Everllence’s global machinery with modern cloud platforms and data services.Our DevOps engineers design the tools, automation, and infrastructure that enable teams to deliver reliable software at scale. From CI/CD pipelines and cloud platforms to IoT data pipelines, your work directly supports systems powering global industries.You’ll work in an international engineering environment where experimentation is encouraged, ideas are valued, and technical excellence is a shared goal.As a Senior, you will participate in architecting the shift toward Cilium for networking and security while investigating integrating AI tooling to further automate the developer journey. In our flat organization, you will also serve as a coach—taking on Scrum Master tasks and leading planning to keep our close-knit, friendly team aligned.We can offer you the following tasks<ul><li>Designing and evolving our AWS‑based internal developer platform, focusing on self‑service capabilities, Terraform workflows, and scalable EKS infrastructure.</li><li>Leading the adoption of ephemeral environments and steering our migration toward Cilium for next‑generation networking, observability, and security.</li><li>Investigating and integrating AI‑driven tooling to streamline CI/CD, reduce toil, and enhance the overall developer experience.</li><li>Participating in the developer support rotation and providing expert guidance to teams on AWS architecture, pipelines, and platform usage.</li><li>Facilitating agile ceremonies—including stand‑ups, sprint planning, retrospectives, and backlog refinement—as part of your senior role.</li><li>Coaching junior engineers, promoting engineering best practices, and helping maintain a healthy, transparent, and collaborative team culture.</li><li>Building automation, tooling, and documentation that empower developers and reduce operational friction across the organization.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>AWS &amp; Infrastructure: Expert-level Terraform and EKS management.</li><li>Developer Self-Service: Experience building internal platforms that empower developers.</li><li>Ephemeral Environments: Knowledge of tools and strategies for short-lived, on-demand test environments.</li><li>Networking &amp; Mesh: Assisting our expansion into Cilium.</li><li>Automation: Advanced Python and Bash for custom tooling and AI integration.</li><li>GitOps: Mastery of ArgoCD and GitLab CI.</li><li>Expert advice and support: Supporting developers on implementations and features with knowledge and infrastructure.</li></ul>What we look for<ul><li>A "Platform as a Product" mindset—you build for your fellow engineers.</li><li>A collaborative leader who is happy to facilitate&nbsp;Scrum ceremonies&nbsp;and sprint planning.</li><li>A friendly peer who thrives in a flat hierarchy where everyone’s voice matters.</li></ul>Our Culture<ul><li>Enablement over Gatekeeping: We believe in empowering developers, not restricting them.</li><li>Full-on AWS: We leverage the best of the AWS ecosystem.</li><li>New Tech: From Cilium to AI-driven workflows and ephemeral testing, we want to move to new technologies.</li><li>Flat &amp; Friendly: We work in a highly cooperative, agile manner where planning is a shared responsibility.</li><li>Communicative: You are a proactive team player who is comfortable reaching out to support others. Whether you are helping a developer debug or facilitating a sprint, you communicate with clarity and kindness.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Senior DevOps Engineer

Procure to Pay (PTP) process: Analyses and evaluates PTP process and procedures, in order to automate the end-to-end process while ensuring a controlled environment. Timely identifies potential areas for improvement, proposing and follows-up on initiatives to automate processes focusing on a continuous monitoring of controls.Procure to Pay (PTP) data: Checks the quality of master and transactional data related to the PTP process, ensuring data is accurate, timely, up-to-date, and compliant with regulatory and Group policy requirements. Performs regular audits to ensure compliance by applying data mining techniques and possibly AI tools to ensure data quality.Procure to Pay (PTP) systems: Analyses and tests financial systems configurations and re-designs, in order to automate and increase efficiency of the end-to-end process. Participates in the testing procedures of each new finance automated process prior of going live. Develops and maintains documentation including system designs, operational manuals, and process workflows. Guides and educates the wider teams across the organization on PTP process excellence and supports ERP users.Digital tool integrations and automations: Targets a broader integration with machine learning and intelligent digital tools aiming for autonomous finance operations activities and a wider integration with 3rd parties across the PTP process (Vendor Portal, e-Invoicing, E-Banking).Team collaboration: Focuses on internal communication and strong collaboration with all departments across the organization, and in particular the IT department. Coordinates with various teams to ensure business objectives.Process excellence &amp; support: Contributes to ensuring PTP process excellence, guiding teams, supporting ERP users, and maintaining alignment of automated processes with business objectives.What will you bring?Education: University degree in Business, Finance, Data or Computer Science or a related field. A Master’s degree will be considered a plus.Experience: 3–5 years of proven experience within a similar position that requires applying knowledge of business process management and PTP automation technologies. Experience with ERP systems and with AP automation tools. Experience in a multinational business environment will be considered an asset.Skills: Excellent problem-solving and analytical skills. A collaborative mindset and the ability to work with multidisciplinary teams. Excellent knowledge of MS Office, particularly Excel.Digital tools &amp; technology: Familiarity with AI tools and other digital tools will be considered an asset. Knowledge of Internal Audit standards and procedures will be considered an asset. Exposure to APQC or other related process taxonomies and benchmarks will be considered an asset.Certifications: Professional Certifications (ex. ACCA, CIA, CIMA, Six Sigma) will be considered an asset.Languages: Fluency in English, both spoken and written, at a professional corporate level. Fluency in Greek and Spanish Language will be considered a plus.What we offerTeamBecoming a member of an organization that cares about its people, the environment, and the local communities.Grow&nbsp;Have room to grow and develop via numerous opportunities for learning, professional development, and career advancement.CareCompetitive remuneration package.Private health insuranceFlexible working model

Finance Process Improvement Specialist

TITAN Greece&nbsp;has an excellent opportunity for an&nbsp;Electronic Engineer&nbsp;for our Plant&nbsp;in Thessaloniki, Greece. The position reports to the&nbsp;Electrical Department&nbsp;Μanager.&nbsp;The primary scope of this role is to plan, coordinate and monitor the maintenance and repair of electronic and automation systems, ensuring their effective operation.Responsibilities<ul><li>Troubleshoot, Maintain and Upgrade electronic and automation equipment as well as software applications, required to manufacture cement; also, to provide relevant guidance to engineers, technicians and CCR operators to ensure flow continuity of production process</li><li>Maintain safe and clean work area at all times; Ensure workplace safety through implementation, adherence and enforcement of company business standards, as well as safety and development programs; Plan, coordinate and ensure safe operation of subcontractors</li><li>Manage preventative and corrective maintenance schedules and completion for all electronic, PLCs, software and network equipment, components, and installations to achieve safe and uninterrupted operation</li><li>Oversee the work performed by staff and contractors as required for each job to ensure completion in a timely and quality manner</li><li>Maximize equipment availability using efficient and proactive preventive maintenance programs. Propose new processes and projects to improve electronic and automation installations and maximize the efficiency of the production process</li><li>Monitor supplies to ensure adequate inventory of electronic and automation equipment and licenses, according to production demand</li><li>Develop, train and motivate subordinates to ensure a productive work environment and high levels of efficiency and satisfaction</li></ul>Qualifications<ul><li>TEI Graduate in Electronic, Automation,&nbsp;Electrical Engineering or related field</li><li>3+ years of experience in a similar position with knowledge on operation, maintenance, troubleshooting of electronic equipment and installations (gas analyzers, all kinds of sensors for flow, level, temperature etc, loadcells, weighing feeders, transmitters, packing machines, etc), industrial networks (Ethernet, Profibus, Modbus etc)</li><li>Hands on experience with electronic and network applications on distribution and motion</li><li>Technological savvy; understanding of electrical drawing</li><li>Proactive attitude toward solving problems</li><li>Safety minded and team oriented with ability to accommodate effectively internal stakeholders</li><li>Excellent interpersonal and leadership skills</li><li>Fluent in Greek and English (oral and written)</li><li>Military obligations fulfilled (if applicable) What we offer&nbsp;</li><li>Private health insurance</li><li>Pension plan</li><li>Annual checkup</li><li>Performance bonus</li><li>Prepaid cards for supermarket</li><li>Learning and Development opportunities</li><li>Internships and summer schools for employee children</li><li>Wellness programs and special offers</li></ul>

Electronic Engineer 25024

TITAN Greece&nbsp;has an excellent opportunity for an&nbsp;Electronic and Automation Engineer&nbsp;for our Plant in&nbsp;Kamari, Greece. The position reports to the&nbsp;Electrical Department&nbsp;Μanager.&nbsp;The primary scope of this role is to plan, coordinate and monitor the maintenance and repair of electronic and automation systems, ensuring their effective operation.Responsibilities<ul><li>Troubleshoot, Maintain and Upgrade electronic and automation equipment as well as software applications, required to manufacture cement; also, to provide relevant guidance to engineers, technicians and CCR operators to ensure flow continuity of production process</li><li>Maintain safe and clean work area at all times; Ensure workplace safety through implementation, adherence and enforcement of company business standards, as well as safety and development programs; Plan, coordinate and ensure safe operation of subcontractors</li><li>Manage preventative and corrective maintenance schedules and completion for all electronic, PLCs, IT, software and network equipment, components, and installations to achieve safe and uninterrupted operation</li><li>Oversee the work performed by staff and contractors as required for each job to ensure completion in a timely and quality manner</li><li>Maximize equipment availability using efficient and proactive preventive maintenance programs. Propose new processes and projects to improve electronic and automation installations and maximize the efficiency of the production process</li><li>Monitor supplies to ensure adequate inventory of electronic and automation equipment and licenses, according to production demand</li><li>Develop, train and motivate subordinates to ensure a productive work environment and high levels of efficiency and satisfaction</li></ul>Qualifications<ul><li>Graduate in Electronic, Automation, Electrical Engineering or related field</li><li>3+ years of experience in a similar position with knowledge on operation, maintenance, troubleshooting of electronic equipment and installations (gas analyzers, all kinds of sensors for flow, level, temperature etc, loadcells, weighing feeders, transmitters, packing machines, etc), industrial networks (Ethernet, Profibus, Modbus etc), Siemens PLC S7 1200/1500, S7 300/400, with Simatic Manager and TIA Portal, WinCC Scada,&nbsp;Cemat or similar platform</li><li>Hands on experience with electronic and network applications on distribution, motion, and lighting</li><li>Technological savvy; understanding of electrical drawing (Eplan)</li><li>Hands on experience with IT installations, Helpdesk /IT Systems Support, reporting systems, experience in Microsoft Office, knowledge of Visual Basic and databases</li><li>Knowledge on programming Siemens and ABB inverters</li><li>Proactive attitude toward solving problems</li><li>Safety minded and team oriented with ability to accommodate effectively internal stakeholders</li><li>Excellent interpersonal and leadership skills</li><li>Fluent in Greek and English (oral and written)</li><li>Military obligations fulfilled (if applicable)</li></ul>What we offer&nbsp;<ul><li>Private health insurance</li><li>Pension plan</li><li>Annual checkup</li><li>Performance bonus</li><li>Prepaid cards for supermarket</li><li>Learning and Development opportunities</li><li>Internships and summer schools for employee children</li><li>Wellness programs and special offers</li></ul>&nbsp;

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