Please submit your CV in English and indicate your English proficiency level. This freelance, project-based role with Mindrift connects experienced data science professionals to AI projects for leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. This is not a permanent position. Role overview The Freelance Data Science Engineer (Python & SQL) creates and validates computational data science challenges for real-world business applications. Projects are varied and may include: Designing original data science problems that reflect analytical processes in industries such as telecom, finance, government, e-commerce, and healthcare. Developing tasks requiring Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensuring challenges are computationally intensive and not solvable manually within days or weeks. Formulating problems involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight generation. Designing deterministic problems with reproducible results, either by avoiding randomness or using fixed random seeds. Basing scenarios on genuine business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science pipeline, from data ingestion and cleaning to exploratory analysis, modeling, validation, and deployment considerations. Introducing big data scenarios that require scalable computational approaches. Validating solutions using Python, established data science libraries, and statistical methods. Documenting problem statements in realistic business contexts and providing verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications that demonstrate real-world problem-solving. Expertise in Python for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, with practical knowledge of algorithms. Proficiency in SQL and database operations for data analysis. Familiarity with GenAI technologies, such as LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps practices and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, or LangChain. Excellent written English skills (C1 level or higher). How the process works Apply Meet qualifications Join a project Complete assigned tasks Receive payment Location: Remote, Greece

We invite you to submit your CV in English, specifying your English proficiency level.Mindrift specializes in connecting skilled professionals with project-based AI opportunities at top technology firms. Our focus is on enhancing, testing, and evaluating AI systems. Note that participation is project-based and does not constitute permanent employment.Opportunity Overview:Each project will involve distinct tasks, including but not limited to:Designing innovative computational data science challenges that replicate real-world analytical workflows across various sectors (telecom, finance, government, e-commerce, healthcare).Creating Python programming tasks that utilize libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring that the problems are computationally demanding and not solvable manually within reasonable timeframes (days/weeks).Developing tasks that necessitate complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible answers, avoiding stochastic elements, or requiring fixed random seeds for exact reproducibility.Grounding problems in genuine business scenarios: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating big data processing scenarios that require scalable computational methodologies.Validating solutions using Python with standard data science libraries and statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.Qualifications:This role is ideal for Data Science specialists with practical experience in Python who are open to part-time, non-permanent engagements. The ideal candidate will possess:5+ years of hands-on data science experience with a proven impact on business outcomes.A portfolio of completed projects and publications demonstrating real-world problem-solving capabilities.Expertise in Python programming specifically for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.A deep understanding of statistical analysis and machine learning algorithms, methods, and their practical applications.Proficiency in SQL and database operations for data manipulation and analysis.Experience with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases).Knowledge of MLOps practices and model deployment workflows.Familiarity with modern frameworks like TensorFlow, PyTorch, and LangChain.Strong written English communication skills (C1+).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.

Please submit your CV in English and highlight your language proficiency. Mindrift offers project-based contracts for professionals interested in shaping and testing AI systems for leading technology companies. This freelance Data Scientist (Python & SQL) - AI Training Specialist position is not a permanent role but focuses on specific projects. Work is fully remote and open to those based in Greece. Role overview This contract centers on designing and validating computational data science problems that reflect real-world analytics challenges. Projects span industries such as telecom, finance, government, e-commerce, and healthcare. The work involves creating complex, computationally demanding scenarios that require advanced data science skills and cannot be solved manually in a short time. What you will do Design data science problems based on realistic business cases, including customer analytics, risk assessment, fraud detection, forecasting, and optimization. Develop challenges solvable using Python and libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure each problem is deterministic and reproducible, using either no randomness or fixed seeds. Include tasks that require advanced reasoning: data manipulation, statistical analysis, feature engineering, predictive modeling, and drawing insights. Address the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that demand scalable solutions. Validate solutions in Python using established libraries and statistical approaches. Clearly document each problem, providing realistic context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of projects or publications showing real-world problem solving. Strong Python skills for data science tasks (pandas, numpy, scipy, scikit-learn, statsmodels). Advanced knowledge of statistical analysis and machine learning, both algorithms and practical applications. Expertise in SQL and database operations for analytics. Experience with Generative AI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Familiarity with frameworks such as TensorFlow, PyTorch, or LangChain. Excellent English skills (C1 level or above). Application process Apply Pass qualifications Join a project Complete tasks Receive compensation This freelance role is remote and open to candidates based in Greece.

We encourage you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with AI project-based opportunities in top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is based on projects rather than permanent employment.Project Involvement:Contributors will engage in diverse tasks, including but not limited to:Constructing original computational data science problems that reflect real-world analytical processes across various sectors (e.g., telecom, finance, government, e-commerce, healthcare).Developing problems that necessitate Python programming for resolution, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring the complexity of problems is computationally intensive, making manual solutions impractical within reasonable timeframes (days/weeks).Formulating scenarios that require intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Designing deterministic problems with reproducible results: avoiding stochastic components or utilizing fixed random seeds for exact reproducibility.Aligning problems with genuine business challenges: customer insights, risk evaluation, fraud prevention, forecasting, optimization, and operational efficiency.Creating comprehensive problems that span the entire data science pipeline (from data ingestion, cleaning, exploratory data analysis, modeling, to validation and deployment considerations).Integrating big data processing situations that require scalable computational strategies.Validating solutions using Python with recognized data science libraries and statistical methodologies.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.

Role overview tgndata is hiring a Data Engineer in Athens, Attica. This hybrid role focuses on building and maintaining the data infrastructure that supports the company’s analytics and decision-making. What you will do Design, develop, and maintain data pipelines Work closely with teams to ensure reliable data flows for analytics and reporting Use Python to create scalable and efficient solutions for extracting insights from company data Location This position is based in Athens, Greece, with a hybrid work arrangement.

Join our team as a Senior Backend Engineer (Python) and engage in a challenging project that focuses on data-intensive processing, system integration, and semantic technologies. In this pivotal role, you will take charge of an established codebase, enhancing its stability and evolving it to meet the project’s demands. This position is perfect for seasoned engineers who thrive in working with complex systems and have a solid grasp of data-driven architectures.Key Responsibilities:Thoroughly analyze and take ownership of an existing Python-based backend.Refactor and optimize backend components with an emphasis on maintainability and performance.Develop and sustain data processing pipelines and integration workflows.Collaborate closely with data and semantic engineers on RDF/SPARQL-driven processes.Contribute to the architectural redesign and technical documentation.Assist with deployment, configuration, and troubleshooting tasks.Ensure high code quality through rigorous reviews, testing, and adherence to best practices.Requirements:A minimum of 3 years of professional experience in backend development.Expertise in Python programming.Experience with:Apache Airflow and AWS.Data-intensive or integration-heavy systems.APIs, batch processing, and backend services.Configuration-driven systems (XML / JSON / YAML).Strong understanding of:Software architecture and design patterns.Debugging and maintaining legacy codebases.Proven experience in complex, multi-stakeholder projects (experience in EU or public-sector projects is a plus).Preferred Qualifications:Familiarity with Semantic Web technologies (RDF, SPARQL, OWL).Experience in data modeling or knowledge-based systems.Exposure to DevOps practices (CI/CD, containerization).Experience in contributing to or maintaining technical documentation (e.g., AsciiDoc, Antora).Benefits:We value talent and commitment, offering the following perks:Attractive full-time salary.Private health insurance under the company’s group plan.Flexible working hours.Access to top-quality tools.Opportunities for professional development, including language courses and specialized training.Career advancement potential by collaborating with leading specialists in the field.A dynamic work environment that encourages personal and professional growth.If you're ready for an exciting challenge, we would love to hear from you!

Jobgether is looking for a Senior Data Engineer based in Greece. This position centers on building and maintaining data systems that support the company’s decision-making processes. Role overview The Senior Data Engineer will design and implement data solutions, with a focus on reliability and scalability. Collaboration with teams across the organization is a key part of the role, helping to shape the company’s overall data strategy. What you will do Develop and maintain data pipelines to support analytics and business needs Work with cross-functional teams on data projects Monitor and improve data quality throughout systems Contribute to the development and evolution of data strategy at Jobgether

Jobgether is looking for a Senior Full-Stack Engineer with strong skills in Python and React. This position is based in Greece and centers on building and improving the company’s platforms. Role overview This role focuses on developing new features and maintaining existing applications using Python and React. Collaboration with other engineers and team members is a regular part of the job, with the goal of delivering reliable and user-friendly products. What you will do Design, build, and refine applications across the stack using Python and React Work closely with peers to solve technical challenges and deliver updates Play a key part in shaping the direction of jobgether’s platforms Requirements Professional experience with both Python and React Ability to work effectively with a team Comfortable contributing to projects in a collaborative setting

ikh seeks a Senior Data Engineer / Team Lead to join the team in Marousi, Attica, Greece. This position blends technical data engineering with hands-on team leadership. The focus is on building effective data solutions while mentoring engineers as they transform complex data into actionable insights. Key responsibilities Lead a team of data engineers through all project phases, from initial planning to final delivery Design and implement data architecture to support business objectives Work with large, diverse data sets to extract and deliver meaningful information Contribute to the development of data engineering standards and practices within the team Location This role is based in Marousi, Attica, Greece.

Satori Analytics delivers data and AI solutions for clients in sectors such as fintech, airlines, FMCG, retail, manufacturing, and financial services. The company’s team of over 100 specialists, including Data Engineers and Data Scientists, supports the entire data lifecycle, from ingestion to AI-powered applications. Projects range from building cloud infrastructure to developing predictive analytics tools. Role overview This Python Software Developer position is based in Athens, Attica, Greece. The role centers on building backend services, APIs, and data-driven software that support Satori’s analytics products. As part of a growing team, the developer will help create scalable, reliable solutions for clients across South-Eastern Europe and beyond. What you will do Design and implement Python applications: Build APIs and microservices that are clean, well-tested, and scalable. Develop and maintain data pipelines: Create reliable data ingestion and processing systems that are observable and easy to support. Collaborate with specialists: Work closely with Data Scientists, Data Engineers, AI Engineers, and domain experts to turn analytical needs into practical software. Focus on quality delivery: Use Git, CI/CD, code reviews, testing, and documentation to support fast, maintainable releases. Translate business needs: Break down real-world problems into actionable technical solutions, balancing speed, quality, and long-term scalability. Improve engineering practices: Help raise the standard of software development across the team. Location Athens, Attica, Greece

Join our dynamic team as a Senior Site Reliability Data Engineer, where you will play a pivotal role in enhancing and optimizing our data systems. Your expertise will drive the reliability and scalability of our platforms, ensuring seamless user experiences and high availability.In this role, you will collaborate closely with cross-functional teams to implement best practices in data reliability and performance. You will be responsible for monitoring, troubleshooting, and enhancing our data pipelines and infrastructure.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.Your ResponsibilitiesLead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

Join Our TeamAt Orfium, we are at the forefront of transforming music rights and royalties through innovative technology and data solutions. As a Senior Data Engineer on our CORE team (Centralized Orfium Revenue Engine), you will play a pivotal role in establishing the data foundations for our essential billing and reporting systems. Your expertise will ensure accuracy, scalability, reliability, and cost efficiency, which are crucial for timely invoicing, revenue recognition, and maintaining healthy cash flow for our global clientele.Your responsibilities will include designing, building, and optimizing modern data workflows leveraging technologies such as Airflow, dbt, Snowflake, and AWS. You will enhance data quality, observability, performance, and cost-effectiveness. Working in an Agile Scrum environment, you will collaborate with cross-functional teams including engineering, product, BI, and service delivery to enhance our platform and develop new capabilities that empower creators to receive payment whenever their music is played. As a senior engineer, you will lead by example, mentor team members, influence architectural decisions, engage in design reviews, and promote continuous improvement across our data pipelines and platform reliability.If you are seeking a position where your insights are valued, your ideas can thrive, and your efforts contribute to significant industry advancements while addressing real-world data challenges in a collaborative setting, this opportunity at Orfium is designed for you.

Join Kpler as a Senior Data Engineer in Greece, where you'll play a vital role in our Power team, responsible for managing extensive datasets related to the European power market. Your expertise will help us retrieve, normalize, and distribute crucial data, including real-time availability computations and market forecasts ranging from intraday to long-term projections. Collaborate with a diverse team of over 700 professionals dedicated to transforming complex data into actionable insights, empowering our clients to thrive in dynamic markets.

cepal seeks a Senior Cloud Data Engineer based in Nea Smyrni, Attica, Greece. The position focuses on managing and enhancing a cloud-first data processing environment. Core technologies include Databricks, AWS, Spark, Unity Catalog, and Delta Lake. The team values efficiency, security, and reliability across data pipelines and analytics workloads. Key responsibilities Optimize data transformations using PySpark and Spark SQL within Databricks notebooks, handling large datasets for efficient processing. Automate, schedule, and manage data workflows with orchestration tools such as Apache Airflow to ensure consistent execution. Contribute to code reviews, testing, and documentation throughout the development lifecycle. Support and troubleshoot Databricks jobs, Spark workloads, and AWS-based data processes across development, QA, and production environments. Tune Databricks clusters and jobs to improve performance and manage costs. Maintain and enhance existing data pipelines built with AWS CodePipeline, Delta Lake, and Databricks Notebooks. Collaborate with data engineering and analytics teams to strengthen data quality and pipeline reliability. Develop and maintain CI/CD workflows for Databricks deployments using AWS tools. Manage access controls through IAM and Unity Catalog to ensure secure and compliant data usage. Monitor, troubleshoot, and perform root-cause analysis of data and compute workloads regularly.

Are you ready to take on the challenge of joining Hack The Box?By joining our team, you will be integral to redefining cybersecurity expertise. Prepare yourself for a thrilling journey into the cybersecurity landscape! Your Role as a Senior Python Engineer:As a Senior Python Engineer, you will join our software and data engineering team, contributing to cutting-edge HTB products. Your primary responsibilities will include writing backend code and executing the platform's roadmap. This role offers the chance to create projects from inception while maintaining existing products, all while adhering to best practices in software development and becoming familiar with HTB methodologies. Work Environment:Location Options: Greece or EuropeWork Mode: Fully Remote / Hybrid (2 days in the office, 3 days remote, along with one month of working from anywhere). If you're in Greece, we welcome candidates from all areas. Those within 55 km of our Athens office will follow a hybrid model, while those further away can opt for a fully remote setup. Team Dynamics:Join our software and data engineering team, the driving force behind Hack The Box. You will work collaboratively with AI Engineers, Data Engineers, and various cross-functional partners across SRE and Product teams.Our AI organization encompasses Analytics, Data Engineering, and AI teams, having pioneered innovations such as the first MCP server in the cybersecurity sector and our AI Range platform designed for training autonomous agents.The Research & Development team, which includes Analytics, Data Engineering, and specialized development squads, leads the way in innovation, contributing to industry firsts like the MCP server and advanced training platforms.Your role will significantly impact the backend code of our latest products. Tools and Technologies You Will Use:Python, Django, FastAPI, RESTful APIs, Kafka, PostgreSQL, Elasticsearch, Kubernetes, Terraform Recommended Resources:HTB launches the world’s first AI RangeIntroducing the MCP Server for CTF competitions at Hack The Box

Role overview The Senior Data Operations Engineer at ikh plays a key part in refining data processes and strengthening data management throughout the company. This position is based in Marousi, Attica, Greece. What you will do Optimize how data operations run to better support business goals. Improve data management practices to increase both reliability and efficiency. Collaborate with teams from various departments to ensure data moves smoothly across the organization. Support data-driven projects and contribute to strategic decisions. Location This position is located in Marousi, Attica, Greece.

Join the Kaizen Gaming TeamKaizen Gaming, the driving force behind Betano, stands as one of the leading GameTech enterprises globally, with operations across 19 markets. We are dedicated to harnessing state-of-the-art technology to deliver unparalleled experiences to the millions of customers who rely on us for their entertainment.Our diverse team comprises over 2,700 Kaizeners representing more than 40 nationalities across 3 continents.As part of our #oneteam, we take pride in being recognized among the Best Workplaces in Europe and certified as a Great Place to Work across our offices. Here, no day is typical, and we invite you to Press Play on Your Potential!Role OverviewAs a Senior Data Scientist, you will lead our AI initiatives by analyzing data, designing machine learning models to enhance our AI offerings, and collaborating with our technical team to develop successful AI products. The ideal candidate will possess an in-depth understanding of machine learning algorithms and a proven track record in deploying ML/AI applications in live environments.

Location: Tavros, Attica, Greece About Aambience Services Aambience Services delivers workflow automation and information technology services to clients who value quality and expertise. The company focuses on building trust-based relationships and delivering strong customer experiences. Team members are valued as partners in meeting client needs, and employee development is a core value. Role Overview The Lead Data Engineer will guide the creation and management of data products for clients. This role involves forming and leading a specialized Data Engineering team responsible for designing and maintaining workflows that support data creation and movement. The position requires hands-on experience developing end-to-end data solutions and applying software industry best practices. What You Will Do Lead a team of data engineers, supporting their growth and professional development Design, build, and maintain data workflows and products for client projects Implement industry best practices in data engineering and software development Ensure reliable data movement and creation to support valuable client services What We Value Experience building end-to-end data solutions Ability to guide and mentor engineering teams Commitment to quality, collaboration, and continuous improvement