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Πωλήσεις / Marketing / Εμπόριο Λιανικής

Άλλο

Ανθρώπινο Δυναμικό / HR

Τηλεπικοινωνίες

Δημοσιογραφία / ΜΜΕ

Τέχνες / Πολιτισμός

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Νομικές Υπηρεσίες

Ναυτιλία

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Our client is an established GameTech company that operates in several countries across Europe through its offices in Greece &amp; Malta. Licensed and regulated by MGA, ADM and HGC, and Irish Revenue Commissioners, They are committed to delivering the best sports betting and gaming experience to an ever-expanding customer base.Role:<ul><li>Building quality web and API applications in C# and .NET</li><li>Contribute to the technical design of the system and research new tools/technologies</li><li>Revising, updating, refactoring, and debugging code</li><li>Implementation of security and data protection</li><li>Integrating with other third-party services API’s</li><li>Being familiar with the Web (Http protocol and Restful API’s) how to consume and build API’s</li><li>Maintaining performant MS SQL databases</li><li>Taking part in team Code Reviews.</li></ul>Requirements:<ul><li>University and/or Postgraduate Degree in a relevant field</li><li>3+ years of relevant working experience, ideally within FinTech or Payment Solutions Companies</li><li>Focus on efficiency, user experience, and process improvement</li><li>Excellent time management skills</li><li>Ability to work independently and with a group</li><li>English language (both verbal and written)</li></ul>Skills:<ul><li>.Net Framework 4.6+, C# 6.0+, WebAPI, Entity Framework, LINQ</li><li>Experience in Microservices</li><li>Familiarization in message broker</li><li>Reactive programming code patterns</li><li>Clean, maintainable &amp; fault-tolerant code</li><li>Knowledge in .Net Core 2.2+ will be appreciated</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>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>

.Net Software Engineer

We are looking for an enthusiastic professional to join our friendly team of Business Intelligence experts. A Business Intelligence (BI) Analyst plays a crucial role in helping organizations make informed business decisions by collecting, analyzing, and presenting data.&nbsp;You will work on cutting-edge projects by&nbsp;designing and mapping data models to turn raw data into meaningful insights and&nbsp;utilize different tools to build interactive and visually appealing dashboards and reports. You will also be able to expand your knowledge in a pleasant and inspiring environment.The main responsibilities of the position include:<ul><li>Collect, process, and analyze large sets of data from various sources</li><li>Utilize BI tools and technologies to extract meaningful insights from raw data</li><li>Create and maintain dashboards, reports, and visualizations to communicate Key Business Metrics</li><li>Present findings and insights to key stakeholders in a clear and understandable manner</li><li>Collaborate with business users to understand their data and reporting needs</li><li>Translate business requirements into technical specifications for data analysis and reporting</li><li>Design and implement data models to support business reporting and analysis</li><li>Ensure data accuracy, consistency, and reliability</li><li>Identify trends and patterns in data to support forecasting and planning activities</li><li>Provide recommendations for business strategy based on data analysis</li><li>Develop and implement data governance policies and procedures</li><li>Ensure compliance with data privacy and security regulations</li><li>Stay informed about industry trends, emerging technologies, and best practices in BI</li><li>Recommend and implement improvements to existing BI processes and tools</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Physics/Science, Engineering, Mathematics or other relevant field</li><li>Strong analytical and problem-solving skills</li><li>Ability to interpret complex data sets and draw meaningful conclusions</li><li>Proficient in using BI tools (e.g., Tableau, Power BI, SAPBI)</li><li>Knowledge of database technologies (SQL, data warehouses) and data modelling</li><li>Excellent verbal and written communication skills</li><li>Ability to convey technical concepts to non-technical stakeholders</li><li>Ability to work collaboratively with cross-functional teams</li><li>Understanding of business processes and the ability to align BI solutions with organizational goals</li><li>Strong attention to detail to ensure accuracy in data analysis and reporting</li><li>Proactive attitude towards problem-solving and continuous improvement</li></ul>Benefit from:<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>

Business Intelligence Analyst

We are looking for an enthusiastic Junior Data Scientist to join the activities of our team. The candidate will have the opportunity to work on cutting edge projects by performing in-depth analysis on big data. The successful candidate will join a friendly team of leading experts in the field of Data Science and expand their knowledge in a pleasant and inspiring environment.The main responsibilities of the position include:<ul><li>Execute queries in both relational and non-relational databases.</li><li>Perform data cleansing and preprocessing.</li><li>Analyze and resolve data issues.</li><li>Perform ad-hoc reporting where is needed</li><li>Collaborate with cross-functional teams to understand business requirements.</li><li>Performing exploratory data analysis to identify patterns and trends.</li><li>Assess the performance of the models developed by the Data Scientists</li><li>Communicate results with the rest of the team&nbsp;</li></ul>Main requirements:<ul><li>University degree in Computer Science, Data Science or related field.</li><li>At least 1 year of experience with Python-based libraries, such as Pandas, NumPy and Polars for data wrangling and preprocessing.</li><li>Strong foundation in Python, with the ability to write clean and efficient code for production-ready projects and scalable solutions.</li><li>Fundamental knowledge or exposure to Machine Learning and Natural Language Processing (NLP) concepts.</li><li>Experience with data visualization tools and libraries in Python (e.g., Matplotlib, Seaborn, Plotly).</li><li>Willingness to learn and stay up to date with emerging data science trends and new technologies.</li><li>High attention to detail.</li><li>Ability to work in a team.</li><li>Strong analytical and problem-solving skills.</li><li>Self–motivation and passion to work with data.</li><li>Eagerness for continuous professional development.</li><li>Excellent verbal and written communication skills in English.</li></ul>The following will be considered an advantage:<ul><li>Familiarity with SQL queries. Experience with MongoDB queries and the aggregation framework.</li><li>Familiarity with Unix/Linux.</li><li>Basic understanding of AWS services</li></ul>Benefit from:<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>

Junior Data Scientist

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;The main responsibilities of the position include:<ul><li>Client Acquisition:&nbsp;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>Main requirements:<ul><li>PhD or MSc in Data Science, Physics, Mathematics Computer Science or a related field&nbsp;</li><li>8+ 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>Benefit from:<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

We’re looking for a talented and driven Machine Learning Engineer to join our dynamic team and help build cutting-edge AI solutions. If you have a strong background in machine learning, data science, and software engineering and a passion for developing scalable, high-performance AI-driven systems, this is your chance to work on exciting challenges in a collaborative environment. Join us and be part of something amazing!The main responsibilities of the position include:<ul><li>Deploy machine learning models and integrate AI tools into production systems.</li><li>Optimise and fine-tune models for performance, scalability, and efficiency.</li><li>Collaborate with data engineers and data scientists to develop and maintain data pipelines, working with large datasets to prepare data for model training and evaluation.</li><li>Stay up to date with the latest advancements in machine learning and AI technologies.</li><li>Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.</li><li>Set up pipelines for A/B testing of different model variations to evaluate performance and enhance model effectiveness.</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Data Science, Machine Learning, or a related field.</li><li>3+ years of experience in machine learning/AI and DevOps/MLOps.</li><li>Strong programming background with proven experience in Python and other languages.</li><li>Experience with data structures, algorithms and ETL/ELT procedures.</li><li>Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of containerization and model deployment using Docker.</li><li>Experience working with CI/CD pipelines using tools like Jenkins and GitLab CI.</li><li>Familiarity with task orchestration tools such as Airflow, Kubeflow, and MLflow.</li><li>Understanding of cloud computing platforms (AWS, GCP, or Azure) and big data ecosystems.</li><li>Experience with monitoring and logging solutions such as Prometheus, Grafana, CloudWatch, and the ELK Stack.</li><li>Strong problem-solving skills and the ability to work in a collaborative team environment.</li><li>Fluency in English Language</li></ul>Benefit from:<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>

Machine Learning Engineer

The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.The main responsibilities of the position include:<ul><li>Design, develop, and maintain scalable data pipelines for data transformation and preparation.</li><li>Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.</li><li>Ensure data quality and consistency across various sources.</li><li>Deploy machine learning models and AI tools to production environments.</li><li>Collaborate with data scientists to improve data models and support business intelligence tools.</li><li>Build and maintain data warehousing solutions.</li><li>Enforce data governance and security policies.</li><li>Work with cross-functional teams to understand data requirements and provide technical solutions.</li><li>Mentor junior data engineers and provide technical guidance.</li></ul>Main requirements:<ul><li>MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.</li><li>4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)</li><li>Experience with AWS, Google Cloud, or Azure cloud services</li><li>Extensive experience with relational and non-relational databases.</li><li>Proven experience with machine learning.</li><li>Demonstrated experience in big data processing and analytics.</li><li>Strong analytical thinking and problem-solving abilities.</li><li>Effective communication skills to convey data-driven insights.</li><li>Fluency in English Language</li></ul>Benefit from:<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>

Senior Data Engineer

As a Cloud Engineer, you will be one of the main gears of the deployment engine within our team. Solutions, projects, deep troubleshooting along with investigations will be your focus areas. If you are an engineer looking to learn and grow within cloud services, processes and methodologies then we have a place for you in our team.The main responsibilities of the position include:<ul><li>Honor and practice Well Architected Framework across all tasks and responsibilities</li><li>Research workloads for migrating it them to the cloud, with minimal interruption and impact</li><li>Participate in cloud migration projects</li><li>Assist in re-platform and re-factor of current cloud infrastructure</li><li>Assist IT departments and teams with their cloud infrastructure</li><li>Participate in evaluation of deployments and creating a risk register of cloud deployments and resources</li><li>Participatenin definition of fair use policies and best practices for cloud services while complying to the company’s standards</li><li>Drive requests for new technologies, services or solutions required from internal customers</li><li>Deploy, document and orchestrate Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the company’s framework</li><li>Follow and provide training regarding new and current technologies and services used</li><li>Have an understanding of cloud costs</li></ul>Main requirements:<ul><li>University degree in Computer Science, Engineering or a similar discipline</li><li>2+ years of cloud services experience preferably on AWS cloud</li><li>Moderate knowledge in solution design and deployment projects</li><li>Understanding Well Architected Framework</li><li>Methodical troubleshooting of issues</li><li>Experience in AWS technologies, services and ecosystem</li><li>Organisation, Documentation and Time Management skills</li></ul>The following will be considered an advantage:<ul><li>Experience in Linux OS and Network</li><li>Exposure to scripting languages such as Python or Go</li><li>Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL</li><li>Knowledge of Terraform and AWS CloudFormation</li><li>Experience with versioning tools such as git</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance-based reward</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>

Cloud Engineer

As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals. You will play a key role in mentoring and overseeing other engineers, fostering collaboration, sharing best practices, and helping to drive continuous improvement across the team.The main responsibilities of the position include:<ul><li>Collaborate with the development teams to plan, deploy and administer applications running on AWS and Kubernetes</li><li>Maintain the AWS infrastructure using Infrastructure as Code principles and Terraform</li><li>Initiate and drive the adoption of technologies and use of good patterns for development and operations</li><li>Mentoring and overseeing other engineers</li><li>Lead and manage specific technical domains or projects, ensuring architectural consistency, scalability, and alignment with business objectives</li><li>Oversee and improve engineering processes and practices, identifying opportunities for automation, optimization, and enhanced system reliability</li><li>Implement and oversee cloud migration projects</li><li>Provide guidance for re-platform and re-factor of current cloud infrastructure</li><li>Communicate to the senior leadership, the cloud migration projects progress</li><li>Preserve business continuity 24/7 with minimum downtime and financial impact</li><li>Investigate and perform regular assessments of cloud deployments in compliance with the company’s standards and best practices</li><li>Ensure the Company’s deployment standards and pillars are followed in cloud solutions and resources</li><li>Stay up to date with the latest tools and trends in the industry</li><li>Follow and provide training regarding new and current technologies and services used</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, or a similar discipline</li><li>Overall knowledge of solution design and deployment projects</li><li>Experience with Docker</li><li>Experience in or knowledge of CI/CD with GitLab and/or Jenkins</li><li>Experience in AWS technologies, services and ecosystem</li><li>Experience with Kubernetes</li><li>Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably Terraform</li><li>Experience with versioning tools such as Git</li><li>Distinctive organisation and documentation skills</li><li>Excellent time management skills</li><li>Essential Linux and Windows admin, networking and scripting skills</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance-based reward</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>

Senior Application DevOps Engineer

As our new Senior DevOps Engineer (Platform), you will join a team who strive to push cloud services to the maximum limit every day using cutting-edge technologies. If you are a highly self-motivated professional who embraces DevOps culture, has experience with AWS services and technologies and is passionate about learning, automating, innovating and working in a highly collaborative environment, we'd like to hear from you!The main responsibilities of the position include:<ul><li>Initiate and actively drive the adoption of good patterns, structures and use of technologies for development and operations</li><li>Investigate and identify practices and work that can benefit from automation&nbsp;</li><li>Monitor and suggest improvements to the existing CI/CD process to increase speed, safety and reliability</li><li>Implement and coordinate implementation with the parties involved</li><li>Develop and maintain existing /GitLab CI pipeline libraries</li><li>Assist developers with setting up CI/CD for their projects and provide support for any issues that may arise</li><li>Stay up to date with the latest tools and trends in the industry</li><li>Provide senior-level, best practice recommendations and implementations to our Windows, Linux and Kubernetes hosting environments&nbsp;</li><li>Function as a mentor to junior team members, providing technical guidance and recommending continued learning opportunities to help them develop</li><li>Educate fellow team members as well as Application Development Teams about the platforms used-for and hosted-by our team. Key tools and concepts in this space are: Gitlab, Docker, AWS, Terraform, Istio Service Mesh,&nbsp;Kubernetes , Kafka, ELK</li><li>Work with our Security team to remediate high-risk vulnerabilities and ensure the security of our environments are being scrutinised as appropriate for their use case&nbsp;</li><li>Offer services related to the above tasks and projects to any of the Companies of the Group as instructed by the Line Manager</li></ul>Main requirements:<ul><li>University degree in Computer Science, Engineering, or a similar discipline</li><li>7+ years’ experience within the following areas: Cloud ( AWS), Release Pipeline Management, Windows Server Administration, Linux Administration, Certificate Management, PowerShell scripting, Bash/python scripting, Configuration Management and IAC (Ansible/Terraform), DNS, Networking&nbsp;&nbsp;</li><li>Enterprise-level Kubernetes experience&nbsp;</li><li>Solid Linux administration skills&nbsp;</li><li>Commitment to continuous improvement, with a focus on observability, modern application architecture styles, blue-green / canary deployments, CI/CD pipeline management&nbsp;</li><li>Ability to self-motivate, study, and stay on-top of emerging technologies and trends, while meeting business deadlines&nbsp;</li><li>Experience with tools including: Istio, Prometheus, Grafana, ELK, MSK, New Relic</li></ul>The following will be considered an advantage:<ul><li>Familiarity with database concepts</li><li>Working experience with at least one cloud provider (preferably AWS)</li><li>Experience with Apache Kafka configuration and troubleshooting</li><li>Experience with ELK configuration and troubleshooting</li><li>Scripting skills (Bash, PowerShell, Python, Go, etc.)</li></ul>

Senior DevOps Engineer (Platform)

You will join a team working with Observability, Escalations, Post-mortems, Correction of Errors, and other practices that will contribute to the company's goal of cloud resiliency. You will be responsible for driving processes around reliability, best practices, cultural change, and enforcement of these practices.The main responsibilities of the position include:<ul><li>Honor and practice the Resiliency pillar of the Well Architected Framework in all tasks and responsibilities</li><li>Conduct Chaos Engineering experiments and relevant exercises to improve resiliency and fault-tolerance</li><li>Research workloads for migrating to the cloud with minimal disruption and impact</li><li>Monitor cloud migration projects to ensure seamless transitions</li><li>Design, consult, re-platform, and re-factor the observability of current cloud infrastructure</li><li>Coordinate with other IT departments and teams regarding observability for both individual and organizational needs</li><li>Regularly assess cloud deployments for compliance with the company’s standards and best practices</li><li>Investigate and correct areas where observability is lagging</li><li>Stay up to date and provide training on new and current technologies, services, tools, methodologies, and practices</li><li>Occasionally participate in service capacity planning, software performance analysis, and system tuning</li><li>Mentor colleagues in technical skills and knowledge</li><li>Analyze, oversee, and remediate the company’s resiliency</li><li>Participate in on-call support 24/7 based on a rotation schedule</li></ul>Main requirements:<ul><li>BSc/MSc degree in Computer Science or related field</li><li>5+ years of cloud services experience, with at least 3 years on AWS cloud</li><li>3+ years of experience in SRE or a similar role</li><li>Experience with monitoring, APM, logging, and notification tools</li><li>Familiarity with incident, problem and change management procedures and practices</li><li>Advanced knowledge of SRE practices and methods</li><li>Understanding and practice of Service Levels</li><li>Strong troubleshooting skills and the ability to mentor others</li><li>Extensive experience with Kubernetes and related technologies, services, and ecosystem</li><li>Advanced knowledge of CI/CD, Infrastructure as Code (IaC) concepts and tools, especially HCL Terraform and AWS CloudFormation</li><li>Experience with versioning tools like Git</li><li>Strong organizational and documentation skills</li><li>Exceptional time management and research abilities</li><li>Advanced Linux, networking, and scripting skills</li></ul>The following will be considered an advantage:<ul><li>Experience with platforms like Kafka (MSK)</li><li>Experience with RDBMSs, particularly Postgres and MySQL</li><li>Knowledge of scripting languages such as Python or Go</li></ul>Benefit from:<ul><li>Attractive remuneration package and perks</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

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.net software engineer

Code.Hub

business intelligence analyst

XM

junior data scientist

XM

lead data scientist

XM

machine learning engineer

XM

senior data engineer

XM

cloud engineer

XM

senior application devops engineer

XM

senior devops engineer (platform)

XM

site reliability engineer

XM