data scientist

senior data scientist

software engineer

ai engineer

data analyst

big data engineer

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

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</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 (Preferred)</li></ul>Experience:<ul><li>AI Data Centre Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines for batch and real-time data processing
 </li>
 <li>
 Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions
 </li>
 <li>
 Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams
 </li>
 <li>
 Collaborate with cross-functional teams to define data architecture and infrastructure requirements
 </li>
 <li>
 Monitor and improve pipeline performance, scalability, and resilience
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering or related Information Technologies field
 </li>
 <li>
 2+ years of experience as a Data Engineer or in a similar data-focused role
 </li>
 <li>
 Strong Software Engineering skills
 </li>
 <li>
 Experience with Scala or Java programming language
 </li>
 <li>
 Experience with Go programming language is a plus
 </li>
 <li>
 Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
 </li>
 <li>
 Experience with big data processing frameworks such as Apache Spark
 </li>
 <li>
 Familiarity with real-time data processing and streaming architectures for low-latency analytics
 </li>
 <li>
 Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
 </li>
 <li>
 Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
 </li>
 <li>
 Strong proficiency in SQL for data manipulation, querying, and optimization
 </li>
 <li>
 Experience with RESTful APIs
 </li>
 <li>
 Experience with both RDBMS and NoSQL databases
 </li>
 <li>
 Experience with testing frameworks, including unit testing and data quality validation for data pipelines
 </li>
 <li>
 Experience with containerization technologies such as Docker and Kubernetes
 </li>
 <li>
 Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and collaboratively
 </li>
 <li>
 Strong English communication skills, written and verbal
 </li>
 </ul>
 
 
 
 
 
 Tech Stack
 
 
 <ul>
 <li>
 Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
 </li>
 <li>
 Data Integration: Kafka Connect, Debezium
 </li>
 <li>
 Data Processing: Apache Spark
 </li>
 <li>
 Streaming &amp; Messaging: Apache Kafka
 </li>
 <li>
 Workflow Orchestration: Apache Airflow
 </li>
 <li>
 DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
 </li>
 <li>
 Version Control: Git
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Data Engineer

Intertech Information Technology and Marketing Inc.

<div>
 
 We will only consider applicants from the cities
 
 Istanbul, Ankara, &Idot;zmir and Bursa.
 
 
 
 
 
 
 In recent years, Intertech has been taking important steps towards acquiring technical systems focusing on the banking of the future and meeting the needs of the industry. With the platform transformation process, which is one of the most important examples of this, Intertech also designs technologies for future business models with high quality standards.
 
 
 
 
 
 
 We are looking for talented, passionate, and agile-minded team players to join our Data Management Group.
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related fields.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Minimum 5 years of experience in data engineering or related roles.
 </li>
 <li>
 Proficiency in programming languages, including Python and Scala, .Net
 </li>
 <li>
 Strong knowledge of SQL and experience with relational databases (e.g., Oracle, MSSQL, PostgreSQL, MySQL).
 </li>
 <li>
 Knowledge of statistical models is a plus
 </li>
 <li>
 Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
 </li>
 <li>
 Experience with ETL processes and data pipeline orchestration tools (e.g., ODI, Nifi, Informatica, Apache Airflow).
 </li>
 <li>
 Understanding of data warehousing concepts and technologies
 </li>
 <li>
 Preferably knowledgeable about containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 </ul>
 
 
 
 
 
 
 What will you do?
 
 
 
 
 
 
 <ul>
 <li>
 Collaborate with software developers, data scientists, and business analysts to understand data requirements and deliver solutions.
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
 </li>
 <li>
 Design and develop scalable datamarts, data pipelines to collect, process, and store large volumes of data.
 </li>
 <li>
 Optimize data workflows for performance, reliability, and scalability.
 </li>
 <li>
 Implement best practices for data governance, security, and compliance.
 </li>
 <li>
 Monitor and troubleshoot data pipeline issues to ensure data quality and availability.
 </li>
 <li>
 Contribute to the architectural design and development of our data infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 Why Intertech
 
 
 
 
 
 
 
 
 
 At Intertech, we are trying to make sure that you work free of worries with the benefits we offer;
 
 
 
 
 
 
 📔 Continuous learning and development opportunities by working with experts and training facilities via Inter Academy,
 
 
 💫 Opportunity to work in international projects,
 
 
 🚀 Opportunity to work with new &amp; trend technologies,
 
 
 🕛 Flexible working hours (08:00-17:00, 09:00-18:00, 10:00-19:00),
 
 
 🎆 Recreation space: Gym, PlayStation, pinball, table tennis, basketball court, coffee shop &amp; cafe, resting rooms.
 
 
 👕 No dress code.
 
 
 🎉 Birthday Leave
 
 
 💬 Language Allowance
 
 
 🏢 5 Different Hub Offices (Bili&scedil;im Vadisi/&Idot;stanbul, Kurtk&ouml;y Teknopark/&Idot;stanbul, Bilkent CYBERPARK/Ankara, DEPARK/&Idot;zmir, Esentepe Denizbank Genel M&uuml;d&uuml;rl&uuml;k)
 
 
 
 
 
 
 
 Our technology and innovative products have been recognized by the many prestigious national and international awards since 1987. Here's a selection of our latest achievements:
 
 
 
 
 
 
 
 🥇 NGN IT Vision &ndash; The Cloud Hosting Project of the Year - 2023
 
 
 🥇 CX Awards &ndash; Best Use of Technology (Banking Sector) &ndash; 2023
 
 
 🥇 Bili&scedil;im 500 &ndash; Turkey Based Sectoral Software &ndash; (Software Cateogry &ndash; Grand Prize) -2024
 
 
 🥇 Bili&scedil;im 500 &ndash; Finance and Banking Sector &ndash; (Software Category &ndash; Grand Prize) - 2024
 
 
 🥇 Bili&scedil;im 500 &ndash; Contribution to Turkish Economy Special Award (Software Category &ndash; Grand Prize) &ndash; 2024
 
 
 
 
 
 📢
 
 
 Contact us
 
 
 
 
 
 
 <ul>
 <li>
 
 WebSite :
 
 http://www.intertech.com.tr
 </li>
 <li>
 
 LinkedIn:
 
 http://www.linkedin.com/company/intertechteyasam
 </li>
 <li>
 
 Instagram:
 
 http://www.instagram.com/intertechteyasam
 </li>
 <li>
 
 Youthall:
 
 https://www.youthall.com/en/intertech/
 </li>
 <li>
 
 Anlats&inodot;n.com:
 
 https://anlatsin.com/intertech
 </li>
 <li>
 
 Spotify:
 
 Spotify &ndash; Intertech
 </li>
 </ul>
 
 
 
 
 
 
 You will be a member of a dynamic team and a big family. We say join us!
 
 
 
</div>

Data Engineer (Hybrid)

OBSS

<div>
 
 
 Company Description
 
 
 
 OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 
 
 
 
 
 OBSS is looking for a
 
 Data Engineer
 
 to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 
 
 
 
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Software Engineering, or a related field.
 </li>
 <li>
 
 5&ndash;10 years of experience
 
 in ETL development or data integration projects.
 </li>
 <li>
 Strong SQL knowledge and proven experience in ETL processes.
 </li>
 <li>
 Hands-on experience with
 
 Oracle
 
 databases; experience in
 
 DB2&ndash;Oracle
 
 data transfer is preferred.
 </li>
 <li>
 Solid understanding of data modeling and data architecture concepts.
 </li>
 <li>
 Experience in query optimization, data validation, and automation processes.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work effectively in a
 
 team-oriented
 
 and collaborative environment.
 </li>
 <li>
 Preferably experience in
 
 banking
 
 or large-scale
 
 enterprise data
 
 environments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications / Technical Skills
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL workflows
 
 to ensure reliable and efficient data integration between systems.
 </li>
 <li>
 Perform data extraction, transformation, and loading processes using
 
 Oracle
 
 and related tools.
 </li>
 <li>
 Monitor and improve
 
 data quality
 
 ,
 
 performance
 
 , and
 
 process automation
 
 .
 </li>
 <li>
 Collaborate with cross-functional teams to deliver accurate, consistent, and timely data solutions.
 </li>
 <li>
 Support troubleshooting and
 
 performance tuning
 
 of ETL processes to ensure system reliability and efficiency.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 Professional Growth &amp; Learning
 
 
 
 As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 
 
 
 
 
 
 Company Culture and Values
 
 
 
 We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 
 
 
 
 
 
 Benefits and Perks
 
 
 
 We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 
 
 
</div>

TalenTown İnsan Kaynakları - İşe Alım Ajansı

<div>
 
 
 
 About you
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree or PhD will be a plus),
 </li>
 <li>
 4+ years of work experience in data science field.
 </li>
 <li>
 Broad experience with end-to-end machine learning project implementation. Involvement in all modelling steps from data extraction to modelling and deployment.
 </li>
 <li>
 
 Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products
 
 </li>
 <li>
 Strong knowledge of
 
 Python, SQL
 
 or relevant statistical tools. (Spark, GCP, Git , DevOps will be a plus)
 </li>
 <li>
 Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
 </li>
 <li>
 Excellent analytical skills and attention to details
 </li>
 <li>
 Desire to use modern technologies as a disruptive influence,
 </li>
 <li>
 Open-minded for new technologies.
 </li>
 <li>
 
 Strong verbal and written communication skills in English and Turkish
 
 </li>
 </ul>
 
 
 
 
 
 
 
 How to Succeed
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Analyze portfolio trends and detect the root causes of problems by performing advanced data analysis and modelling techniques
 </li>
 <li>
 Develop new strategies by analyzing and evaluating large data volumes and utilizing various statistical and analytical techniques and tools
 </li>
 <li>
 Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
 </li>
 <li>
 Flexibility &amp; Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed
 </li>
 <li>
 Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations
 </li>
 <li>
 Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business
 </li>
 </ul>
 
 
</div>

Expert Data Scientist

NETS International Group is seeking an experienced Data Modelling Engineer to design, develop, and optimize data models supporting advanced analytics, business intelligence, and cloud-based data solutions. The ideal candidate will build scalable data pipelines, define robust data architectures, and ensure efficient integration across platforms such as MySQL, PostgreSQL, MongoDB, Hadoop, and Azure Data Lake.You will collaborate with data engineers, analysts, and solution architects to establish a unified data foundation aligned with business objectives and analytics needs.Key Responsibilities:<ul><li>Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data architecture and reporting needs.</li><li>Build and manage data pipelines and integrations using ETL tools like Talend, Informatica, and custom scripts (Bash/Unix Shell, Python).</li><li>Collaborate with cross-functional teams to capture business requirements and translate them into optimized data models and schemas.</li><li>Design and optimize database structures in SQL-based platforms (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL systems (MongoDB).</li><li>Implement and maintain data processing across big data ecosystems &mdash; Hadoop, Spark, Hive, and Azure Data Lake.</li><li>Ensure data accuracy, consistency, and governance across distributed data environments.</li><li>Develop data lineage and metadata documentation to support transparency and compliance.</li><li>Optimize query performance and storage design for analytics workloads.</li><li>Collaborate with analytics and BI teams (e.g., using Looker, Power BI) to deliver accurate and performant data models.</li><li>Participate in Agile development cycles, ensuring timely delivery of data solutions.</li><li>Maintain documentation and provide technical support for deployed models and data architectures.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or Data Engineering.</li><li>4&ndash;7 years of experience in data modelling, data architecture, or database design.</li><li>Proven experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).</li><li>Strong understanding of data warehouse and data lake architectures.</li><li>Hands-on experience with ETL tools (Talend, Informatica) and scripting (Bash, Python).</li><li>Familiarity with big data platforms (Hadoop, Spark, Hive).</li><li>Experience in data governance, metadata management, and lineage documentation.</li><li>Knowledge of cloud platforms (AWS, Azure Data Lake, or GCP).</li><li>Excellent understanding of database performance tuning and query optimization.</li><li>Knowledge of dimensional modelling techniques (Star/Snowflake schemas).</li><li>Familiarity with RESTful APIs and data integration for analytical applications.</li><li>Experience with BI tools (Looker, Power BI, or Tableau).</li><li>Exposure to containerized environments (Docker, Kubernetes).</li><li>Understanding of Agile methodologies for collaborative delivery.</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 with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Modelling Engineering: 4 years (Required)</li></ul>

Data Modelling Engineer

Explore 905+ Big data engineer in Istanbul this December. Find roles across top companies and apply now to boost your career.

905 big data engineer jobs IN Istanbul

Big Data Engineer

AI Data Center Engineer

Data Engineer

Data Engineer (Hybrid)

Data Engineer

Expert Data Scientist

Data Modelling Engineer