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data engineer

Trendyol Group

<div>
 
 
 ABOUT THE TEAM
 
 
 
 We&rsquo;re shaping the future of financial technology at Trendyol.
 
 
 As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.
 
 
 With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.
 
 
 
 
 
 We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology
 
 
 
 
 
 
 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 cloud-native data platforms 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>
 Solid experience with at least one big data processing framework such as Apache Spark or Apache Flink
 </li>
 <li>
 Experience with cloud-native data infrastructure (GCP preferred) to ensure reliable, cost-effective solutions
 </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 (BigQuery, Snowflake), and lakehouse table formats (Apache Iceberg, Delta Lake)
 </li>
 <li>
 Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Temporal
 </li>
 <li>
 Strong proficiency in SQL for data manipulation, querying, and optimization
 </li>
 <li>
 Experience with RESTful APIs
 </li>
 <li>
 Experience with both SQL 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>
 Knowledge of 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>
 Big Data Processing: Apache Spark (primary), Apache Flink
 </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>
 Cloud Platform: Google Cloud Platform (BigQuery, GCS, GKE, Dataproc, Cloud Functions, Composer, Monitoring, Logging)
 </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

Buluttan

<div>
 
 
 Company Description
 
 
 
 Buluttan utilizes advanced Numerical Weather Prediction (NWP) and Artificial Intelligence models to create state-of-the-art hyper local weather forecasting solutions. Our products are designed to provide accurate and actionable weather intelligence. By building precision-driven solutions, we assist stakeholders in renewable energy and mobility industries,improving operational efficiency, and enhancing asset and people safety. Also consortium partner of the "EU Horizon: Weather generator" project, we are a vc-funded, curious team of engineers, driven to grow globally.
 
 
 
 
 
 
 Role Description
 
 
 
 
 We are seeking a talented and experienced Data Engineer to join our dynamic team. In this role, you will collaborate closely with our Data Science and Atmospheric Sciences Team to build and maintain robust data pipelines, ensure data quality, and support advanced analytics and machine learning initiatives. As a data company, our raw material is data and our final product is prediction data, which is why the Data Engineering team is primarily responsible for constructing pipelines that deliver data directly into our final products; hence, it is expected that you will also contribute to product design and engineering. You will contribute to the development and maintenance of our data pipelines, data lake, and data warehouse, as well as to building data products and tools that automate the processes.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Design, develop, and maintain scalable data pipelines and ELT processes to handle large volumes of weather data
 
 </li>
 <li>
 
 Collaborate with Data Scientists and Meteorological Engineers to support data-driven projects and enhance predictive models
 
 </li>
 <li>
 
 Design and build data ingestion pipelines in Python to extract data from third-party sources, leveraging its libraries and tools to ensure efficient and accurate data retrieval
 
 </li>
 <li>
 
 Ensure data quality and integrity by implementing data validation and monitoring processes
 
 </li>
 <li>
 
 Optimize and manage our cloud-based data lake and warehouse architecture
 
 </li>
 <li>
 
 Administer our cloud services&rsquo; permissions and security management, as well as building automation tools for permissions management and security processes
 
 </li>
 <li>
 
 Develop and maintain data models in our Python and SQL pipelines that directly deliver data to our end products, services, and ML and Atmospheric models
 
 </li>
 <li>
 
 Support product design and development by providing subject matter expertise regarding data pipelines, data models, and data architecture
 
 </li>
 <li>
 
 Assist in the creation of data visualizations and dashboards to provide insights for internal and external stakeholders
 
 </li>
 <li>
 
 Mentor and support junior engineers and scientists, fostering a collaborative and knowledge-sharing environment that enhances our data literacy and mindset
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Proven experience as a Data Engineer, preferably building and maintaining data pipelines that directly integrate with operational end products and services
 
 </li>
 <li>
 
 Strong proficiency in
 
 
 Python
 
 
 and
 
 
 SQL
 
 
 and experience with relational databases and data warehouses (
 
 
 BigQuery
 
 
 , Redshift, MySQL, PostgreSQL) and data lakes (GCS, S3, Delta Lake)
 
 </li>
 <li>
 
 Hands-on experience with cloud-based solutions (
 
 
 Google Cloud Platform
 
 
 ,
 
 
 
 
 AWS, Azure), including data warehouses, data lakes, security and permissions management, and servers
 
 </li>
 <li>
 
 Understanding of modern data architecture concepts like data lakehouse, change data capture,&nbsp; data marts, star/snowflake schemas, data mesh/fabric, and platform engineering
 
 </li>
 <li>
 
 Experience with data transformation tools (dbt, DataBricks), data orchestration tools (Airflow, AWS Glue, Bruin), and familiarity with monitoring and logging tools (DataDog, Logstash)
 
 </li>
 <li>
 
 Experience with Linux/Unix command line, including proficiency with shell scripting (bash, sh), process management, routine automation, and basic system administration tasks
 
 </li>
 <li>
 
 Proficiency with data modeling and transformation tools, with expertise in designing and implementing complex logics, develop quality checks, and optimize data schemas and partitioning for performance and scalability
 
 </li>
 <li>
 
 Knowledge of Object-Oriented Programming
 
 </li>
 <li>
 
 Collaboration skills in Github repositories using best practices, creating automation pipelines and actions, resolving conflicts, and managing deployment cycles
 
 </li>
 <li>
 
 Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills
 
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 
 Knowledge of data visualization tools (Grafana, Tableau, Looker)
 
 </li>
 <li>
 
 Familiarity with APIs and extracting data from third-party sources
 
 </li>
 <li>
 
 Experience working with multi-dimensional data such as Zarr files and GeoJSON
 
 </li>
 <li>
 
 Experience with ingesting, processing, and converting image and radar files
 
 </li>
 <li>
 
 Passion for meteorology and working with weather data
 
 </li>
 <li>
 
 An active stance on climate change &amp; sustainability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are passionate about data engineering and eager to make an impact with your skills, apply now and join our mission to leverage weather data for a better future.
 
 
 
 
 
</div>

Nets-international Communication

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

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

Softtech

<div>
 
 We are looking for a
 
 &ldquo;Generative AI Engineer
 
 &rdquo; who will be able to work with enthusiasm to implement solutions in the field of development to join our
 
 Data and Artificial Intelligence Applications team.
 
 
 
 
 
 
 We believe that highly competitive solutions can only be developed by motivated and enthusiastic teams. That&rsquo;s why our team members have been selected among the top engineers and specialists in the market.
 
 
 We are experts in developing solutions for financial organizations. If you want to be part of this dynamic team, come &amp; join us and share our goal that is to take the technology to the next level with creative, fast, efficient, and secure solutions.
 
 
 
 
 
 
 Here are the details of our job posting:
 
 
 
 
 
 
 
 What makes you a good fit:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science (or equivalent experience)
 </li>
 <li>
 At least 5+ years of software development experience
 </li>
 <li>
 Strong coding skills with Python
 </li>
 <li>
 Excellent knowledge of Django, Flask, FastAPI technologies
 </li>
 <li>
 Extensive experience with SQLAlchemy, Alembic migrations, and designing robust Pydantic schemas for data validation and serialization in Python-based applications.
 </li>
 <li>
 Experience working with cloud-based AI providers like OpenAI, Azure, Google, Meta, etc.
 </li>
 <li>
 Deep knowledge of Langchain framework and its modules such as Retrieval, Chains, Agents, Memory
 </li>
 <li>
 Experience in working with Multi-Agent frameworks (e.g., CrewAI, LangGraph, AutoGen, Magnetic-One ).
 </li>
 <li>
 Experience in Prompt Engineering.
 </li>
 <li>
 Proven experience in designing and developing production-level prompts tailored for various AI models and use cases
 </li>
 <li>
 Solid understanding of the vector databases(Pinecone, Chroma, Qdrant, Faiss)
 </li>
 <li>
 Hands-on experience with implementing production-grade guardrails for AI systems to ensure reliability, safety, and ethical compliance.
 </li>
 <li>
 Possesses a solid perspective on Agent-Oriented Programming (AOP) and its application in designing and developing intelligent, autonomous systems.
 </li>
 <li>
 In-depth knowledge of working with containerized cloud environments (Docker, Kubernetes, AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll experience working at Softtech:
 
 
 
 
 
 <ul>
 <li>
 Implement and develop Generative AI solutions for business needs.
 </li>
 <li>
 Work with large language models (LLMs) or small language models (SLMs) to create innovative applications and solutions.
 </li>
 <li>
 Develop and integrate AI-related APIs from providers like Google, Microsoft, and OpenAI.
 </li>
 <li>
 Write clean, scalable, and efficient code following best practices in AI development.
 </li>
 <li>
 Collaborate with senior engineers and architects to ensure the robustness and scalability of AI solutions.
 </li>
 <li>
 Conduct unit tests and debugging to ensure software reliability.
 </li>
 <li>
 Stay up to date with emerging AI technologies and frameworks, applying them where relevant.
 </li>
 <li>
 Participate in team discussions and contribute to knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 What we offer you:
 
 
 
 
 
 <ul>
 <li>
 Private medical insurance and group life insurance
 </li>
 <li>
 Company contributory in individual retirement or cumulative life insurance 3 months after working with us
 </li>
 <li>
 Employee and Employer Contribution Plan for individual retirement support (Optional)
 </li>
 <li>
 Monthly meal payment
 </li>
 <li>
 Flexible remote working support
 </li>
 <li>
 Transportation fee or shuttle option according to your preference
 </li>
 <li>
 Covered travel and accommodation expenses if necessary
 </li>
 <li>
 Employee discounts &ndash; including a huge number of retailers via &Idot;&scedil; Grubu Ailem
 </li>
 <li>
 Continuously learning and development opportunities
 </li>
 <li>
 Health and well-being seminars and initiatives via Softtech Academy
 </li>
 <li>
 Employee support program through a corporate consulting firm
 </li>
 <li>
 Support for postgraduate education, including administrative leave and financial incentives for those pursuing a Master's or PhD degree
 </li>
 <li>
 Study leave and support for studying for a qualification or other accredited development relevant to your role
 </li>
 <li>
 Attending to technical congress and conferences
 </li>
 <li>
 Celebrate your birthday with a day off
 </li>
 </ul>
 
 
 
 
 
 About us:
 
 
 
 
 
 
 As one of Turkey's leading technology companies, we have been operating at a total of 6 different locations in Turkey and USA since 2006.
 
 
 With the strength of our experience in banking and finance industry and experienced human resources, we are developing customer-oriented solutions for our business partners operating in diverse areas.
 
 
 Our mission is to transform all our customers including mainly &Idot;&scedil; Bankas&inodot; into digital companies by using our efficient and high-energy ecosystem.
 
 
 We recognize that our people are our strength and the diverse talents. We are an equal opportunity employer and welcome applications from any individuals without any restrictions at our company.
 
 
 
 
 
 Contact us:
 
 
 If you need more information please don't hesitate to contact us.
 
 
 https://softtech.com.tr
 
 
 https://m.youtube.com/@Softtechas
 
 
 https://anlatsin.com/softtech
 
 
 https://instagram.com/softtech?igshid=YmMyMTA2M2Y=
 
</div>

Generative AI Engineer

OREDATA

<div>
 
 OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
 
 
 Read more: https://medium.com/@oredata-engineering
 
 
 Apply and be part of our exciting journey!
 
 
 We are looking for a Data Architect to join our team within a leading company in the aviation industry. ✈️
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 data architecture and governance frameworks
 
 ensuring compliance with
 
 GDPR/KVKK
 
 and internal data policies.
 </li>
 <li>
 Conduct
 
 data discovery and classification
 
 across enterprise data sources to identify and manage sensitive information
 </li>
 <li>
 Work closely with
 
 technical data owners
 
 and business teams to design efficient, secure, and scalable data processes
 </li>
 <li>
 Manage and maintain
 
 data discovery tools
 
 (e.g., OpenText SDM) ensuring accurate data mapping and documentation.
 </li>
 <li>
 Define and monitor
 
 data quality, metadata, and lineage standards
 
 to support analytics and regulatory needs
 </li>
 <li>
 Support the continuous improvement of
 
 data governance and architecture practices
 
 within the organization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in
 
 Computer Engineering, Information Systems, or related fields
 
 (Master's degree preferred)
 </li>
 <li>
 Minimum
 
 5 years of experience
 
 in data architecture, data governance, and data management including data discovery, metadata management, and GDPR/KVKK compliance
 </li>
 <li>
 Proficiency in
 
 data discovery and governance tools
 
 such as
 
 OpenText SDM
 
 or equivalent.
 </li>
 <li>
 Strong understanding of data privacy principles, sensitive data handling, and enterprise data frameworks
 </li>
 <li>
 Hands-on experience with
 
 data architecture, data modeling, and metadata management
 
 tools is required
 </li>
 <li>
 Experience working with data platforms, databases, or data warehouses is highly preferred
 </li>
 <li>
 Experience in collaborating with
 
 technical and business stakeholders
 
 to design and optimize data processes.
 </li>
 <li>
 Excellent
 
 English communication skills
 
 (both written and verbal)
 </li>
 <li>
 Ability to work effectively in a
 
 hybrid work environment
 
 (partly on-site and partly remote)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 
 
 Get to know us
 
 
 
 If you want to know more about us and what we do, then visit our website: www.oredata.com
 
 
 
 
 Why Oredata?
 
 
 <ul>
 <li>
 Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
 </li>
 <li>
 Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
 </li>
 <li>
 Opportunity to work on international projects
 </li>
 <li>
 Private Health Insurance
 </li>
 <li>
 Birthday Leave Policy
 </li>
 <li>
 Dynamic work ecosystem where you can take initiative and responsibility
 </li>
 <li>
 Open communication, flexibility and start-up spirit
 </li>
 <li>
 Learning &amp; Development opportunities for both personal and professional growth
 
 </li>
 </ul>
 
 
 Ki&scedil;isel verileriniz i&scedil;e al&inodot;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&inodot;yla veri sorumlusu s&inodot;fat&inodot;yla &scedil;irketimiz Oredata Yaz&inodot;l&inodot;m A.&Scedil;. taraf&inodot;ndan i&scedil;lenecektir.
 
 Ki&scedil;isel verilerinizin i&scedil;lenmesi ve haklar&inodot;n&inodot;zla ilgili detayl&inodot; bilgiye https://oredata.com/personal-data-protection-policy/ ba&gbreve;lant&inodot;s&inodot; &uuml;zerinden ula&scedil;abilirsiniz.
 
 
 
 
 
 
</div>

Data Architect

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
We are looking for a Data Architect to join our team within a leading company in the aviation industry. &#9992;&#65039; 
Responsibilities:<ul>
<li>
Design and implement data architecture and governance frameworks ensuring compliance with GDPR/KVKK and internal data policies.
</li><li>Conduct data discovery and classification across enterprise data sources to identify and manage sensitive information.</li>
<li>Work closely with technical data owners and business teams to design efficient, secure, and scalable data processes.</li>
<li>Manage and maintain data discovery tools (e.g., OpenText SDM) ensuring accurate data mapping and documentation.
</li><li>Define and monitor data quality, metadata, and lineage standards to support analytics and regulatory needs.</li>
<li>Support the continuous improvement of data governance and architecture practices within the organization.</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s degree in Computer Engineering, Information Systems, or related fields (Master&rsquo;s degree preferred).</li>
<li>Minimum 5 years of experience in data architecture, data governance, and data management including data discovery, metadata management, and GDPR/KVKK compliance.</li>
<li>Proficiency in data discovery and governance tools such as OpenText SDM or equivalent.
</li><li>Strong understanding of data privacy principles, sensitive data handling, and enterprise data frameworks.</li>
<li>Hands-on experience with data architecture, data modeling, and metadata management tools is required.</li>
<li>Experience working with data platforms, databases, or data warehouses is highly preferred.</li>
<li>Experience in collaborating with technical and business stakeholders to design and optimize data processes.
</li><li>Excellent English communication skills (both written and verbal).</li>
<li>Ability to work effectively in a hybrid work environment (partly on-site and partly remote).</li>
</ul>
Benefits
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?<ul>
<li>
Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Open communication, flexibility and start-up spirit</li>
Learning &amp; Development opportunities for both personal and professional growth 
<li>
</li>
</ul>Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

Explore 683+ Data engineer in Istanbul Jobs In Istanbul Jobs In Istanbul Turkey this November. Find roles across top companies and apply now to boost your career.

683 data engineer jobs IN Istanbul Jobs In Istanbul Jobs In Istanbul Turkey

Data Engineer

Data Engineer

Data Modelling Engineer

AI Data Center Engineer

Generative AI Engineer

Data Architect

Data Architect