Πληροφορική

Πωλήσεις / Marketing / Εμπόριο Λιανικής

Χρηματοοικονομικά

Κέντρο Εξυπηρέτησης / Call Center

Διοίκηση Επιχειρήσεων

Ανθρώπινο Δυναμικό / HR

Δημοσιογραφία / ΜΜΕ

Άλλο

Νομικές Υπηρεσίες

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LastThreeDays

Today

Aoristou

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As an Analyst in the Connectivity product vertical, you’ll help drive data-informed decisions by analyzing product performance and uncovering growth opportunities. You’ll work closely with product managers, engineers, and designers to turn insights into action. This role reports to the Connectivity &amp; Deel IT Analytics Manager and supports key strategic initiatives across the product organizationResponsibilities<ul><li>Collaborate closely with Product Managers, Product Operations and Dev teams on different problems to create actionable insights</li><li>Monitor product and feature release performance, define baselines, success metrics and provide recommendations for optimisation</li><li>Develop/apply extensive domain knowledge in your dedicated product areas in order to proactively derive meaningful recommendations and insights that drive and inform product strategy</li><li>Analyze market data, identify customer behavior and trends</li><li>Help design and evaluate A/B tests to improve customer journeys</li><li>Create and promote effective self-service analytics infrastructure for your product areas</li><li>Develop user friendly dashboards and high quality data visualizations that drive actions and support decision making</li><li>Explore large and complex datasets to create actionable insights</li><li>Build data models in dbt with the support of Analytics Engineers to create the cleanest data structures and KPIs for your product areas</li><li>Make intelligent choices for the adoption of new technologies based on your extensive experience</li><li>Contribute to the development and growth of fellow product analysts by proactively sharing knowledge, providing mentoring, etc.</li></ul>Qualifications<ul><li>Bachelor Degree in Computer Science, Math, Statistics, Economics or equivalent degree</li><li>5+ years’ experience in product analytics team</li><li>Hands on experience in at least one modern BI tools (preferably Looker)</li><li>Proficiency in SQL and product analytics tools (mixpanel / heap / amplitude)</li><li>Solid experience with Data Modelling (DBT)</li><li>Excellent multitasking and problem-solving abilities</li><li>Effective communication skills and experience dealing with stakeholders of varying seniority</li><li>Experience with Snowflake and LookML is a plus</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including optional WeWork access</li></ul>

Product Data Analyst

Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $12 billion valuation and $800&nbsp;million in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.Responsibilities<ul><li>Collaborate closely with Product Managers, Product Operations and Dev teams on different problems to create actionable insights</li><li>Monitor product and feature release performance, define baselines, success metrics and provide recommendations for optimisation</li><li>Develop/apply extensive domain knowledge in your dedicated product areas in order to proactively derive meaningful recommendations and insights that drive and inform product strategy</li><li>Analyze market data, identify customer behavior and trends</li><li>Help design and evaluate A/B tests to improve customer journeys</li><li>Create and promote effective self-service analytics infrastructure for your product areas</li><li>Develop user friendly dashboards and high quality data visualizations that drive actions and support decision making</li><li>Explore large and complex datasets to create actionable insights</li><li>Build data models in dbt with the support of Analytics Engineers to create the cleanest data structures and KPIs for your product areas</li><li>Make intelligent choices for the adoption of new technologies based on your extensive experience</li><li>Contribute to the development and growth of fellow product analysts by proactively sharing knowledge, providing mentoring, etc.</li></ul> Qualifications<ul><li>Bachelor Degree in Computer Science, Math, Statistics, Economics or equivalent degree</li><li>5+ years’ experience in product analytics team</li><li>Hands on experience in at least one modern BI tools (preferably Looker)</li><li>Proficiency in SQL and product analytics tools (mixpanel / heap / amplitude)</li><li>Solid experience with Data Modelling (DBT)</li><li>Excellent multitasking and problem-solving abilities</li><li>Effective communication skills and experience dealing with stakeholders of varying seniority</li><li>Experience with Snowflake and LookML is a plus</li><li> </li></ul>

The Data Platform team at Deel is dedicated to enhancing data quality, optimizing pipeline performance, building robust platform tools, and managing costs across the entire data stack—from ingestion to outbound integrations and everything in between. As a Data Engineer on this team, you’ll play a critical role in shaping the future of Deel’s data infrastructure, ensuring it scales effectively with 30+ Analytics Engineers and 100+ data professionals embedded across the organization.Our team collaborates cross-functionally with analysts, analytics engineers, data scientists, software engineers, and leadership to achieve these goals.Your Role as a Data EngineerAs a Data Engineer on the Data Platform team, you will:<ul><li>Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Experience with similar technologies is also valued as we continuously evolve our stack.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs.</li><li>Implement and enforce robust data governance policies to maintain data integrity, quality, and security.</li><li>Develop and maintain ELT processes to extract, load, and transform data from diverse sources into the data warehouse in both batch and streaming fashion.</li><li>Optimize SQL queries to enhance data analysis and reporting.</li><li>Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support.</li><li>Diagnose and resolve data-related issues promptly.</li><li>Build a cutting-edge development environment and CI/CD system to ensure scalability and efficiency.</li><li>Ingest data from various external systems via APIs.</li><li>Stay informed on industry trends and emerging technologies to drive continuous improvement in data engineering practices.</li></ul>Qualifications<ul><li>Experience:&nbsp;Minimum 3 years as a Data Engineer or in a similar role.</li><li>Technical Skills:&nbsp;Strong proficiency in Python and SQL; experience with Golang or JVM-based languages is a plus.</li><li>Data Warehousing:&nbsp;Hands-on experience with cloud-based data warehouses.</li><li>Data Modeling:&nbsp;Proficiency in designing efficient database schemas.</li><li>Workflow Orchestration:&nbsp;Familiarity with tools like Apache Airflow.</li><li>Data Streaming:&nbsp;Experience with data streaming and Change Data Capture (CDC).</li><li>Infrastructure:&nbsp;Proficiency in Terraform and GitHub Actions.</li><li>Compliance:&nbsp;Experience in setting up PII anonymization and RBAC.</li><li>Collaboration:&nbsp;Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders.</li><li>Problem-Solving:&nbsp;Excellent analytical skills with a keen attention to detail.</li></ul>Preferred Skills<ul><li>Kubernetes:&nbsp;Experience with Kubernetes is a plus.</li><li>Data Warehouse Administration:&nbsp;Prior experience managing data warehouses is advantageous.</li><li>Regulatory Compliance:&nbsp;Familiarity with GDPR or similar data privacy regulations is beneficial.</li></ul>Join us in building a world-class data platform that drives actionable insights and scales with Deel’s rapidly growing business.Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Data Engineer

The Data Platform team at Deel is composed of senior engineers focused on improving data quality, data pipeline performance, data development experience, and cost management of the entire data stack from ingestion to outbound integrations (and everything in between). As a Senior Analytics Engineer on the Data Platform team, you will spend significant time crafting the future of our Snowflake data warehouse and ensuring it can scale with the business growth of Deel.We work cross functionally with analysts, analytics engineers, data scientists, ML engineers, software engineers, and leadership to accomplish these goals.&nbsp;As a Senior Analytics Engineer on our Data Platform team you will:<ul><li>Design and implement RBAC on Snowflake to meet all business and compliance requirements.</li><li>Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations.</li><li>Design and implement scalable and efficient data models for our Core data mart.</li><li>Develop and optimize SQL queries for analytical and reporting purposes.</li><li>Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).</li><li>Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.</li><li>Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come</li><li>Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs.&nbsp;</li><li>Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards</li></ul>What you’ll need to be successful in this role:&nbsp;<ul><li>Proficient in RBAC principles and implementation details in modern data warehouse.</li><li>Proficiency in a data engineering tech stack:</li><li>5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets</li><li>Deep DBT core experience required (experience building on top of dbt core libraries would be awesome)</li><li>Experience with Snowflake desired (or other cloud database platform)</li><li>Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc</li><li>You are proficient in Python and/or another data centric language</li><li>You have experience building highly observable data systems</li><li>You are familiar with dimensional data modeling techniques and best practices</li><li>You have an eye for detail, good data intuition, and a passion for data quality</li><li>You appreciate the importance of great documentation and data debugging skills</li><li>You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Senior Analytics Engineer, Data Platform

At Shopify, we are dedicated to pushing the boundaries of innovation in artificial intelligence and machine learning. Our team is focused on developing cutting-edge solutions that harness the power of data to solve complex problems and drive meaningful business impact. We are looking for passionate Machine Learning Scientists to join our team and help us redefine the future of AI.As a Machine Learning Scientist, you will leverage your expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and AI solutions to design, develop, and deploy state-of-the-art machine learning models. You will work on impactful projects that directly enhance our products and services, ensuring that our AI solutions are not only effective but also ethical and scalable.Key Responsibilities:<ul><li>Design and implement innovative machine learning models, particularly in NLP and LLMs, to address business challenges and improve customer experiences.</li><li>Collaborate with cross-functional teams to integrate AI solutions into our products and ensure seamless deployment.</li><li>Conduct research to explore new methodologies and technologies, staying at the forefront of advancements in machine learning and AI.</li><li>Optimize models for production environments, focusing on scalability, efficiency, and performance.</li><li>Analyze and interpret complex datasets to derive actionable insights that inform product development and strategy.</li><li>Contribute to the academic community through publications and patents, sharing your findings and innovations with the broader field.</li></ul>Qualifications:<ul><li>Proven experience in developing and deploying machine learning models, particularly in NLP and LLMs (e.g., BERT, T5, GPT).</li><li>Proficiency in programming languages such as Python, with experience in ML frameworks (e.g., TensorFlow, PyTorch).</li><li>Strong understanding of AI solution architecture, model optimization, and deployment strategies.</li><li>Excellent analytical skills with the ability to communicate complex ideas effectively.</li><li>This is not a requirement, but many candidates will have Ph.D. or Master’s degree in Computer Science, Data Science, or a related field with a strong focus on machine learning and AI.</li></ul>

Machine Learning Scientists

At Shopify, we are committed to building robust and scalable machine learning platforms that empower our data scientists and engineers to innovate and deliver exceptional AI solutions. Our team is dedicated to creating an infrastructure that enables seamless model development, deployment, and monitoring. We are looking for skilled Machine Learning Infrastructure Engineers to join our team and help us shape the future of AI.As a Machine Learning Infrastructure Engineer, you will design, implement, and maintain the underlying infrastructure that supports our machine learning initiatives. You will collaborate closely with Machine Learning Engineers and Data Scientists to ensure that they have the tools and resources necessary to build and deploy high-quality models efficiently. Your expertise in cloud computing, data pipelines, and system architecture will be critical in enabling our team to deliver impactful AI solutions.Key Responsibilities:<ul><li>Design and build scalable machine learning infrastructure, including data pipelines, model training environments, and deployment frameworks.</li><li>Collaborate with Machine Learning Engineers to understand their requirements and provide solutions that enhance their productivity.</li><li>Optimize infrastructure for performance, reliability, and cost-effectiveness, ensuring that it can handle large-scale machine learning workloads.</li><li>Implement monitoring and logging solutions to track model performance and infrastructure health.</li><li>Stay current with emerging technologies and best practices in machine learning infrastructure and cloud computing.</li><li>Document and communicate infrastructure architecture, processes, and best practices to the team.</li></ul>Qualifications:<ul><li>Proven experience in building and maintaining machine learning infrastructure or data engineering pipelines.</li><li>Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).</li><li>Strong programming skills in Python or Scala, with experience in ML frameworks (e.g., TensorFlow, PyTorch).</li><li>Familiarity with data storage solutions, ETL processes, and distributed computing frameworks (e.g., Apache Spark).</li><li>Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.</li></ul>

Machine Learning Infrastructure Engineers

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.Before you apply, consider if you can:<ul><li>Care deeply about what you do and about making commerce better for everyone</li><li>Excel by seeking professional and personal hypergrowth</li><li>Keep up with an unrelenting pace (the week, not the quarter)</li><li>Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change</li><li>Bring critical thought and opinion</li><li>Embrace differences and disagreement to get shit done and move forward</li><li>Work digital-first for your daily work</li></ul>About the roleRole Overview:At Shopify, we are developing an innovative AI Personal Shopper designed to redefine the online shopping experience for buyers. Our aim is to provide an exceptional concierge service tailored to individual preferences and needs, revolutionizing how customers interact with Shop and Storefronts.Leveraging cutting-edge AI technology, including Large Language Models (LLM) and advanced machine learning algorithms, we will harness the power of data analytics and build upon the solid platform foundation of the Assistant projects in Shopify. This enables us to deliver personalized recommendations, exclusive offers, and insightful suggestions that cater to each user's unique taste. Our AI technology will analyze user behavior, preferences, and inventory levels in real-time, ensuring that shoppers receive highly relevant and customized suggestions. Our AI Personal Shopper will be an indispensable ally for every shopper, assisting with everything from curating outfits to finding the perfect gifts.&nbsp;To expedite this effort, we are seeking&nbsp;Machine Learning Engineering (MLE) leads and individual contributors to join our team and help shape the future of online shopping. Together, we will create an unparalleled shopping experience that exceeds customer expectations and redefines the e-commerce landscape.&nbsp;You and your team won't just be working on theoretical concepts – you'll be at the forefront of implementing AI systems at scale, directly empowering our merchants. We're all about creating tangible solutions that make a real difference in the day to day lives of entrepreneurs.Key outputs:<ul><li>Developing and deploying Generative AI, natural language processing and machine learning models</li><li>Producing system design and architecture of scalable AI/ML systems</li><li>Designing and implementing data pipelines for fine-tuning LLMs&nbsp;</li><li>Solving high impact data problems and delivering business impact through data and machine learning products</li><li>Prioritizing and communicating to technical and non-technical audiences alike</li></ul>Qualifications:<ul><li>Demonstrated mastery building data products that use generative AI, RLHF and fine-tuning LLMs</li><li>End-to-end experience of training, evaluating, testing and deploying machine learning products at scale</li><li>Experience building data pipelines and driving ETL design decisions leveraging disparate data sources</li><li>Experience with the following: Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable or equivalent, orchestration tools</li><li>Experience with running machine learning in parallel environments (e.g. distributed clusters, GPU optimization)</li></ul>

Applied ML Engineering, GenAI / AI Agent

Epsilon Net S.A.,&nbsp;the largest IT group of companies in Greece&nbsp;and&nbsp;No.1 Best Workplace in Tech 2023,&nbsp;is seeking for the department of R&amp;D, a&nbsp;.NET Desktop Developer.Responsibilities:<ul><li>Design and development of new desktop software products and components with the use of .Net</li><li>Build and maintain efficient and reliable code</li><li>Provide solutions in technical problems</li><li>Deliver work that concisely addresses outlined requirements within appropriate timeframes</li><li>Upgrade specific information flow using new desktop technologies and architecture</li></ul>Requirements:<ul><li>Bachelor's or Master's Degree in Computer Science, Engineering or related field.</li><li>3 - 5 years of experience in business application design and development is required.</li><li>Excellent knowledge of desktop application development using Microsoft .NET Framework C# (WinForms).</li><li>Excellent knowledge of Microsoft SQL Server.</li><li>Desired knowledge and/or experience with DevExpress controls.</li><li>Desirable knowledge and/or experience with HTML, Web services.</li><li>Experience with Git.</li><li>Experience in designing and analyzing merchandising applications.</li><li>Very good knowledge of the English language.</li><li>Spirit of cooperation and teamwork.</li><li>Pleasant and dynamic personality.</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology&nbsp;Awards).</li><li>Competitive remuneration package.</li><li>Ongoing training, opportunities &amp; career development.</li><li>Private medical insurance.</li><li>Psychological support line.</li><li>Online personal- training programs.</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs.</li><li>Remote working model.</li></ul>

.NET Desktop Software Engineer Remote

Responsibilities:<ul><li>Design and development of new software products and components.</li><li>Build and maintain efficient and reliable code.</li><li>Provide solutions to technical problems.</li><li>Deliver work that concisely addresses outlined requirements within appropriate timeframes.</li><li>Upgrade specific information flow using new technologies and architecture.</li></ul>Requirements:<ul><li>BSc degree in Computer Science, Engineering or a related field.</li><li>3 - 4&nbsp;years of experience in C# and ASP.NET Core.</li><li>Strong SQL Knowledge.</li><li>Experience with the development of web services (Web API, RESTFul).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent command of the English language (written and verbal).</li><li>Passion for programming and IT technologies.</li><li>Ability to learn new technologies &amp; methodologies.</li></ul>Nice to have:<ul><li>Experience with&nbsp;Blazor.</li></ul>We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2&nbsp;Best Workplace in Technology&nbsp;Awards).</li><li>Competitive remuneration package.</li><li>Ongoing training, opportunities&nbsp;&amp;&nbsp;career development.</li><li>Private medical insurance.</li><li>Psychological support line.</li><li>Online personal- training programs.</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs.</li><li>Remote working model.</li></ul>

.NET Software Engineer Remote

Responsibilities:<ul><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Work on new feature development, as well as maintenance of existing features and bug fixes</li><li>Design, build, and maintain highly reusable C#, JavaScript, HTML and CSS code</li><li>Ensure the best possible performance, quality, and responsiveness of the application</li><li>Unit-test code for robustness, including edge cases, usability, and general reliability</li></ul> Requirements:<ul><li>BS/MS degree in Computer Science, Engineering or a related subject</li><li>1 - 3 years of overall software development experience</li><li>Experience with .NET 4.5+, .NET Core principles and best practices</li><li>Good knowledge of HTML5 and JavaScript, TypeScript, jQuery and its best practices</li><li>Experience working with remote data via REST and JSON</li><li>Experience with SQL Server</li><li>Experience with Git will be considered as an asset</li><li>Solid understanding of the full development life cycle and scrum process framework.</li><li>Native greek speaker</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology&nbsp;Awards).</li><li>Competitive remuneration package.</li><li>Ongoing training, opportunities &amp; career development.</li><li>Private medical insurance.</li><li>Psychological support line.</li><li>Online personal- training programs.</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs.</li><li>Remote working model.</li></ul>

Θέσεις Εργασίας Ελλάδα, Πληροφορική - Σελίδα 4

product data analyst

Deel

product data analyst

Deel

data engineer

Deel

senior analytics engineer, data platform

Deel

machine learning scientists

Shopify

machine learning infrastructure engineers

Shopify

applied ml engineering, genai / ai agent

Shopify

.net desktop software engineer remote

Epsilon Net

.net software engineer remote

Epsilon Net

web developer remote

Epsilon Net