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VERO Digital Solutions

THE COMPANY VERO Digital Solutions OOD, found in 2018, is a provider of comprehensive digital services targeting the crafting, construction and infrastructure sector. The headquarter is located in Sofia with locations all over Bulgaria and Greece.We are developing powerful software for the challenging utilization on the construction sites all around the globe. Our ecosystem consists of robust, native mobile Applications and versatile Web frontend, connected to RESTful API backend and specialized 3D processing and CAD application plugins.Key Responsibilities:<ul><li>Lead and mentor a team of up to four developers, ensuring high-quality code and efficient processes.</li><li>Design and implement solutions for synchronizing data between various systems using formats like YAML, JSON, XML, CSV, and Excel.</li><li>Utilize AI technologies to enhance and accelerate software development processes.</li><li>Develop and maintain strong logging and error reporting systems to ensure reliability and transparency in operations.</li><li>Work with databases and services, focusing on SQL and REST APIs, to enable seamless integration and data flow.</li><li>Manage deployments, creating solutions that can be deployed as EXE files, command line applications, or Docker containers with FastAPI endpoints.</li><li>DevOps deployment and upgrades of containers using scripts on your own virtual machines (VMs), ensuring smooth and efficient operation of development environments and production systems</li><li>Ensure robust software architecture, best coding practices, and adherence to quality standards.</li></ul>Required Skills and Qualifications:<ul><li>Proven experience as a Senior Python Developer with a focus on data synchronization and integration.</li><li>Expertise in working with YAML, JSON, XML, CSV, and Excel data formats.</li><li>Proficiency with SQL, REST APIs, and related database technologies.</li><li>Strong understanding of software deployment processes, particularly using Docker containers and FastAPI endpoints.</li><li>Demonstrated ability to implement and maintain strong logging and error reporting systems.</li><li>Fluent in English with excellent communication skills, both written and spoken.</li><li>Experience in leading and mentoring a small team of developers, providing guidance and fostering professional growth.</li><li>Experience working with AI or machine learning technologies.</li><li>Knowledge of software development best practices and agile methodologies.</li></ul>What We Offer:<ul><li>Opportunity to work in a tech-driven environment where innovation is key.</li><li>Flexibility to work remotely with a highly collaborative team.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and leadership development.</li></ul>Are you motivated? Are you interested in leveraging your skills for a new digital service? Use your chance!For application, please send me your meaningful CV (naming format FirstName_SecondName_CV) and/or a working sample in English. Non-English Applications will be rejected.Job Type: Full-time

Python Team Lead

OneIngage

<div>
 
 
 Job Description &amp; Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and manage data strategies that support the business goals of the agency and its client brands,
 </li>
 <li>
 Ensure integration of data from multiple sources (digital media, CRM, campaign performance, social media, sales, etc.),
 </li>
 <li>
 Design and manage data visualization, reporting, and dashboard processes (e.g., Looker),
 </li>
 <li>
 Generate insights on campaign performance, customer behavior, and market trends,
 </li>
 <li>
 Collaborate with relevant teams (Account Management, Media Planning, Creative, Technology) to support data-driven decision-making,
 </li>
 <li>
 Ensure data security, accuracy, and accessibility,
 </li>
 <li>
 Lead and develop a team of data analysts and reporting specialists.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Statistics, Mathematics, Economics, or a related field,
 </li>
 <li>
 Minimum 5 years of experience in business intelligence/analytics, preferably within an agency or consultancy environment,
 </li>
 <li>
 Advanced proficiency in Looker or similar data visualization tools,
 </li>
 <li>
 Strong experience with SQL, Python, or R for data processing and analysis,
 </li>
 <li>
 Knowledge of big data sources and cloud-based solutions (Google Cloud, Google BigQuery),
 </li>
 <li>
 Strong strategic thinking, problem-solving, and analytical skills,
 </li>
 <li>
 Proven leadership in team management, project planning, and communication,
 </li>
 <li>
 Innovative, detail-oriented, and results-driven working approach.
 </li>
 </ul>
</div>

Business Intelligence (BI) Manager

Nets-international Communication

Job Summary We are seeking a highly skilled Big Data Engineer (Cloudera) to lead the design, development, and implementation of scalable data solutions. The ideal candidate will possess extensive experience in big data technologies, cloud platforms, and data modeling to support advanced analytics and data-driven decision-making. This role offers an exciting opportunity to work with cutting-edge tools and methodologies in a dynamic environment focused on innovation and excellence.Duties<ul><li>Design, build and maintain robust large&#8208;scale data pipelines using the Cloudera Data Platform (CDP) / Hadoop ecosystem, supporting streaming and batch ingestion of structured and unstructured data.</li><li>Work with big-data frameworks such as Apache Spark, Hive, HDFS, and manage data processing jobs at scale.</li><li>Integrate data from diverse sources (Oracle, Microsoft SQL Server, external APIs, Linked Data) into centralized data lakes or warehouses.</li><li>Collaborate with the cloud team to implement data storage and compute solutions on platforms like AWS, Azure and Cloudera hybrid environments.</li><li>Develop and optimize ETL/ELT processes (using Python, SQL, Shell scripting, Bash) to support analytics, reporting and data science workloads.</li><li>Build data models and schemas appropriate for big data warehouses and analytics&mdash;ensuring performance, scalability, and maintainability.</li><li>Partner with analytics, BI and data science teams to define data requirements, ensure data quality, and make data available in usable form (for dashboards, machine learning, etc.).</li><li>Ensure data governance, security, lineage, and compliance standards are embedded in the data infrastructure.</li><li>Create and maintain documentation of architecture, data flows, processes and best practices.</li><li>Operate within Agile development processes, perform code reviews, and support production operations / incident resolution.</li></ul>Qualifications<ul><li>3-5 years of experience in a Data Engineer or Big Data Engineer role, working with big data technologies and platforms.</li><li>Hands-on experience with Cloudera Data Platform or Hadoop ecosystem: HDFS, Hive, Spark, Impala, etc.</li><li>Proficient in Python and/or Java/Scala for data processing, along with strong SQL skills (Oracle, MS SQL Server or similar).</li><li>Experience developing ETL/ELT workflows using Python, Shell/Bash scripting and SQL.</li><li>Familiarity with cloud data platforms (AWS S3/Glue/EMR, Azure Data Lake or equivalents) and managing data infrastructure in the cloud.</li><li>Understanding of data modelling for large-scale data warehouses, data lakes and analytics platforms.</li><li>Knowledge of RESTful API integration and processing data from APIs or real-time streams is a plus.</li><li>Experience collaborating with data science/analytics teams to support modelling, BI and advanced analytics efforts.</li><li>Excellent problem-solving skills, strong communication skills, and ability to work in a dynamic, multi-functional team environment.</li><li>Exposure to Agile methodologies and CI/CD pipelines for data engineering tasks is a plus.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Big Data Engineer: 3 years (Required)</li></ul>

Big Data Engineer

Eksim Enerji

<div>
 
 
 About Eksim Holding
 
 
 
 
 
 
 Our journey, which began in 1986 with foreign trade, has evolved into a powerful ecosystem shaping Turkey&rsquo;s economy across energy, food, electricity distribution, venture capital, and technology.
 
 
 As Eksim Holding, we lead sustainable growth through investments in renewable energy, food production, electricity distribution, and EV charging systems.
 
 
 Respect, environmental awareness, efficiency, and commitment to ethical values are the cornerstones of our corporate culture, which places people and technology at its core.
 
 
 With more than 20 group companies and over 10,000 employees, we represent a dynamic ecosystem moving toward a shared goal across diverse fields.
 
 
 
 
 
 Rol ve Sorumluluklar
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Trading Analytics:
 
 Maintain day ahead and futures forecast models, dashboards, "ad-hoc analysis".
 </li>
 <li>
 
 Signal Engineering:
 
 Develop "Python/SQL" pipelines for price, demand, renewable outputs; apply "ML/fundamental" models to improve hit-rate and stability.
 </li>
 <li>
 
 Market Ops Support:
 
 Assist with nominations/positions analytics; "ETRM" records; daily limit and compliance checks.
 </li>
 <li>
 
 Data &amp; Integrations:
 
 Build connectors to exchanges, APIs; ensure "data quality", "lineage", and auditability.
 </li>
 <li>
 
 Opportunity Scouting (CEE/SEE):
 
 Screen cross-border spreads, "JAO/SEECAO", "TE&Idot;A&Scedil;" (TCAT) auctions.
 </li>
 <li>
 
 Stakeholder Engagement:
 
 Join strategy meetings; translate analytics into trade ideas; write runbooks and automate repetitive tasks.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 
 0&ndash;2 years
 
 in a quantitative role (trading, data science, research, or similar).
 </li>
 <li>
 "Strong
 
 Python"
 
 (pandas, NumPy, scikit-learn) and "
 
 SQL"
 
 ; clean code and
 
 Git
 
 .
 </li>
 <li>
 ML fundamentals for time series: feature engineering, cross-validation, drift &amp; regime awareness, overfit control.
 </li>
 <li>
 
 Excellent English
 
 , written/oral communication.
 </li>
 <li>
 Bias-to-action, skeptical/analytical mindset, excellent time management.
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have (Pluses)
 
 
 <ul>
 <li>
 "Power market literacy": "DA/ID mechanics", "futures, balancing", "ETRM basics".
 </li>
 <li>
 
 "CEE/SEE markets":
 
 "TCAT"/"HUPX"/"IBEX"/"ENEX"; "
 
 SEECAO/JAO
 
 auctions"; "
 
 EP&Idot;A&Scedil;"
 
 and "
 
 TE&Idot;A&Scedil; (TCAT)"
 
 .
 </li>
 <li>
 Experience with "REST APIs", and "BI" ("Power BI").
 </li>
 </ul>
 
 
</div>

Quantitative Analyst

Gizli

<div>
 
 QUALIFICATIONS AND JOB DESCRIPTION
 
 
 
 
 
 We are looking for a visionary
 
 Technology Director
 
 who will contribute to the digital sustainability of large-scale projects and implement cutting-edge technology solutions. The director will shape the company&rsquo;s technology vision, establish scalable architectures through AI, IoT, and digital transformation solutions, and lead sustainable growth.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement the company&rsquo;s long-term technology strategy,
 </li>
 <li>
 Lead projects in SAP ERP, IoT, OT/IT integration, AI/ML, and computer vision,
 </li>
 <li>
 Build secure, scalable, and high-performance architectures,
 </li>
 <li>
 Manage backend, frontend, MLOps, and DevOps processes,
 </li>
 <li>
 Build, scale, and manage technical teams with high efficiency,
 </li>
 <li>
 Implement cybersecurity, data management, and performance optimization strategies,
 </li>
 <li>
 Collaborate with product teams, business development, and investors to drive technological goals.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Engineering, Software Engineering, or related fields,
 </li>
 <li>
 15+ years of experience in software development / AI-ML engineering, and 3+ years in a leadership role as CTO, VP of Engineering, or equivalent,
 </li>
 <li>
 Comprehensive knowledge of SAP ERP, IoT, industrial automation, and OT systems,
 </li>
 <li>
 Expertise in modern software technologies such as Python, C#, and React,
 </li>
 <li>
 Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow,
 </li>
 <li>
 Experience in developing cloud solutions on AWS, Azure, or GCP,
 </li>
 <li>
 Strong technical knowledge in microservices architecture, REST/GraphQL APIs, and SQL/NoSQL databases,
 </li>
 <li>
 Experience in cybersecurity, data security, performance optimization, and system integration.
 </li>
 </ul>
 
 
</div>

Technology Director

<div>
 
 📣We are looking for a
 
 Data Science Manager
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Lead the management of data science projects across the business, contributing both technical expertise and business insight to planning, implementation, and performance tracking of deployed models.
 </li>
 <li>
 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
 </li>
 <li>
 Translate strategic goals into actionable data science projects and team roadmaps.
 </li>
 <li>
 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
 <li>
 Promote best practices in model governance, data quality, and reproducibility.
 </li>
 <li>
 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
 </li>
 <li>
 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 8+ years of experience in data science or analytics, with at least 3 years managing a team.
 </li>
 <li>
 Proven experience in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
 </li>
 <li>
 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
 </li>
 <li>
 Strategic thinker who can translate business goals into actionable data projects.
 </li>
 <li>
 Passionate about mentoring and developing a high-performing team.
 </li>
 <li>
 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Data Science Manager

SnA Consulting

<div>
 
 
 About the job
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 200+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 We&rsquo;re looking for recent graduates to join our analytics consulting team. Ideal candidates will be familiar (or completed coursework) in the following:
 
 
 
 
 <ul>
 <li>
 Mid-level statistics (including multivariable methods),
 </li>
 <li>
 Database management systems (including relational data modeling)
 </li>
 <li>
 Open source data science software (Python or R)
 </li>
 </ul>
 
 
 
 
 At SnA, you will be trained as an Associate Analytics Consultants. Our associates are responsible for analyzing large and complex datasets, applying various quantitative methods to interpret information and generating insights that lead to business recommendations. They also work on training, validation and implementation of predictive statistical models.
 
 
 
 
 
 This position requires a combination of technical skills and research, communication, presentation skills.
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Finance, Marketing, Economics, Industrial Engineering, Computer Science from a reputable institution,
 </li>
 <li>
 General understanding of applied statistical concepts,
 </li>
 <li>
 Curiosity for knowledge in open source tools is a must,
 </li>
 <li>
 Being comfortable using SQL for data analysis and reporting purposes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Associate Data Analytics Consultant - New Graduate (Entry Level)

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