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Aoristou

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If you are an experienced Cloud Engineer looking to step into a leadership role, we have an exciting opportunity for you. Beyond leading technical solutions, managing projects, and performing in-depth troubleshooting, you will guide the Cloud Engineering team and help drive the company’s cloud strategy forward. You will be responsible for implementing best practices, ensuring adherence to cloud pillars and assessments, and fostering the growth of team members’ technical knowledge and expertise. This role combines hands-on technical leadership with the long-term development of processes, standards, and team capabilities to achieve organizational cloud objectives.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Lead, manage, and track the team’s deliverables through regular cadence, progress reports, and performance reviews</li><li>Orchestrate and monitor cloud projects and solutions, ensuring alignment with the AWS/Azure Well-Architected Framework and best practices</li><li>Consult on re-platforming and refactoring initiatives to modernize current cloud infrastructure according to company standards</li><li>Assist team members in developing their technical skills and knowledge to ensure continuous professional growth</li><li>Provide and participate in training sessions covering both new and existing technologies and services</li><li>Drive and oversee requests for new technologies, services, and solutions from internal customers, ensuring timely evaluation and implementation</li><li>Ensure adherence to company deployment standards, security guidelines, and operational excellence pillars across all cloud environments</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field&nbsp;</li><li>Minimum of 7 years of experience in cloud services, with at least 5 years of hands-on expertise in AWS Cloud environments</li><li>Experience in leading/mentoring technical teams, fostering collaboration, performance, and professional growth</li><li>Demonstrated success in solution design and deployment projects, with a strong understanding of architectural best practices</li><li>Deep familiarity with the AWS Well-Architected Framework pillars and its application across all technical solutions</li><li>Strong analytical and troubleshooting skills, with the ability to methodically identify and resolve complex technical issues</li><li>Advanced expertise in AWS technologies, services, and ecosystem components</li><li>In-depth knowledge of Infrastructure as Code (IaC) principles and tools, preferably HCL Terraform and AWS CloudFormation</li><li>Proficiency in version control systems, particularly Git, with a solid understanding of collaborative development workflows</li><li>Strong cost optimization and research skills, with practical understanding of FinOps and PerfOps methodologies</li><li>Exceptional organizational and documentation skills with meticulous attention to detail</li><li>Excellent time management abilities and capacity to handle multiple priorities effectively</li></ul><h2>The following will be considered an advantage:</h2><ul><li></li></ul><ul><li>Experience in Windows and Linux OS&nbsp;</li><li>Experience in RDBMSs, preferably Postgres and MySQL&nbsp;</li><li>Advanced networking and scripting skills&nbsp;</li><li>Experience in scripting languages such as Python or Go&nbsp;</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward&nbsp;&nbsp;</li><li>Private health insurance&nbsp;&nbsp;</li><li>Corporate pension fund&nbsp;&nbsp;</li><li>Intellectually stimulating work environment&nbsp;</li><li>Continuous personal development and international training opportunities&nbsp;</li></ul><h2></h2>

Cloud Engineer Lead

We are looking for a driven IT Data &amp; Process Improvement Analyst to help optimise delivery performance across our IT and Product organisation. In this role, you will transform operational data into meaningful insights, enabling teams to improve efficiency, quality, and alignment with strategic goals.&nbsp; You will collaborate with cross-functional stakeholders across IT Governance, Risk Management, Software Development, Cloud DevOps, and Information Security to build dashboards and performance metrics that promote transparency and accountability. By identifying trends and improvement opportunities, you will support agile delivery practices, drive continuous improvement, and help shape a culture of data-driven excellence.&nbsp;<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Partner with process owners and stakeholders to configure tools and data models that capture team workflows and delivery practices</li><li>Define and maintain meaningful performance indicators and dashboards with clear visualisations that provide accurate, easy-to-use insights into team effectiveness</li><li>Analyse operational and delivery data to identify bottlenecks, inefficiencies, and patterns affecting performance and process maturity</li><li>Translate data findings and stakeholder feedback into practical improvement opportunities and recommendations</li><li>Develop and support the implementation of strategic improvement plans that streamline workflows, optimise delivery processes, and align with Group goals</li><li>Ensure improvement plans are clearly communicated, adopted by stakeholders, and tracked through relevant success metrics.&nbsp;</li><li>Maintain up-to-date documentation for reporting processes, data models, and metrics to ensure transparency and consistency across the company</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc or MSc in Computer Science, Information Technology, Software Engineering, Data Science, Business Analytics, or a related field</li><li>Over 4 years of experience in a similar role focused on data-driven process improvement or operational analytics</li><li>Hands-on experience with a range of tools and technologies, including Agile/DevOps platforms such as Jira, GitLab, Jenkins, and SonarQube; data visualization tools such as PowerBI, Tableau, or similar; SQL and Python for scripting; and Visio or equivalent for process mapping</li><li>Strong working knowledge of Agile methodologies, delivery reporting, and continuous improvement frameworks</li><li>Demonstrated expertise in operational excellence, including structuring metrics frameworks, workflow optimisation, business process improvement, and applying ITIL and service management best practices to drive continuous improvement</li><li>Data-driven and results-oriented, with proven problem-solving skills to identify root causes, implement strategic improvement plans, and deliver measurable outcomes</li><li>Excellent communication and storytelling abilities, capable of presenting complex insights clearly to both technical and non-technical stakeholders</li><li>Experienced in change management, guiding teams through transitions and fostering a culture of accountability and continuous improvement</li><li>Self-motivated, adaptable, and able to manage multiple priorities effectively while staying up to date with emerging industry trends, technologies, and best practices</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward &nbsp;</li><li>Private health insurance &nbsp;</li><li>Corporate pension fund&nbsp;</li><li>Intellectually stimulating work environment&nbsp;</li><li>Continuous personal development and international training opportunities&nbsp;</li></ul><h2></h2>

IT Data & Process Improvement Analyst

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

Lead Data Scientist

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.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><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><h2>Main requirements:</h2><ul><li></li></ul><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><h2>The following will be considered an advantage:</h2><ul><li></li></ul><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><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2></h2>

Junior Data Scientist

We are seeking for skilled and motivated Data Engineers to join our dynamic Business Intelligence and Data Science teams. The successful candidates will work with leading experts on cutting-edge projects relating to the definition and development of efficient big data structures, data cleansing techniques and design and optimisation of data infrastructure and pipelines.&nbsp;&nbsp;<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Understand data requirements and develop efficient data models and structures.</li><li>Design, build, and maintain scalable and reliable data structures, pipelines and processes.</li><li>Execute queries in both relational and non-relational databases.</li><li>Collaborate with cross-functional teams to define and enforce data governance policies and data security best practices.</li><li>Monitor, troubleshoot and resolve issues regarding data quality, data pipeline failures, and data infrastructure.&nbsp;</li><li>Stay up to date with emerging trends and technologies in the data engineering and data management field and recommend innovative solutions to enhance our data infrastructure and processes.</li><li> </li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Computer Science, Physics/Science, Engineering, Mathematics or other relevant field</li><li>Experience in data manipulation and big-data processing frameworks will be considered an advantage</li><li>Good knowledge of SQL and experience with relational databases will be considered an advantage</li><li>Familiarity with ETL processes, data warehousing concepts, and related technologies will be considered an advantage</li><li>Programming experience with Python or any high-level programming language will be considered an advantage</li><li>Experience with Unix/Linux will be considered an advantage</li><li>Good knowledge of data visualisation techniques</li><li>Self-motivation and passion for working with data</li><li>Eagerness for continuous professional development</li><li>Excellent problem-solving and analytical skills with attention to detail</li><li>Strong communication and collaboration skills to work effectively in a team environment</li><li>Excellent verbal and written communication skills in English</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2></h2>

Data Engineer

As our new Senior PHP Developer, you will join an amazing team who is dedicated to taking the next step in software engineering. You will make key decisions on software processes, and use Kubernetes and Terraform on PHP, Go, React &amp; Angular on AWS. The team will keep you up-to-date with the latest technology stacks and processes and help you see challenging projects from beginning to end.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Design and implement new features/projects</li><li>Maintain and refactor existing web applications such as the company's website, registration forms, Members Area and internal web services</li><li>Research and integrate new web technologies</li><li>Write tests that will run on a continuous integration server 24/7 to ensure code testability, code coverage and quality conforms to the company’s highest standards</li><li>Resolve support tickets for IT related issues</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Information Technology or any other relevant degree</li><li>At least 3 years of experience in a similar position</li><li>Very good knowledge of PHP 7+, MySQL, Redis, Git</li><li>Experience in creating and consuming web services</li><li>Experience with modern PHP frameworks</li><li>Experience in writing tests with PHPUnit</li><li>Ability to research and adapt new web technologies that add value to the team</li><li>Strong organisational skills with the ability to multitask and prioritise</li><li>Problem solving and analytical skills</li><li>Ability to work independently and integrate well within a team</li></ul><h2>The following will be considered an advantage:</h2><ul><li></li></ul><ul><li>Experience in Symfony framework</li><li>Experience in the development of REST APIs</li><li>Experience in software development practices like design patterns, SOLID principles, DRY</li><li>Very good understanding of security practices (OWASP)</li><li>Experience with cloud providers (e.g. AWS)</li><li>Experience in database query optimization</li><li>Experience in creating composer packages</li><li>Experience in front-end frameworks or libraries like Angular or React</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li><li> </li></ul>

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