data scientist

data analyst

software engineer

ai engineer

ci/cd engineer

data pipeline 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

Sanipak

<div>
 
 Sanipak has more than 1600 employees. We export our leading brands such as OK, Solo, Selpak, UniBaby, and our most preferred brands in the cleaning papers, personal care, home care, baby care, and out-of-home categories to more than 80 countries in 5 continents, while investing heavily in digital transformation and data-driven decision-making. To support our growing initiatives in self-service BI, self-service analytics, and advanced analytics, we are expanding our Data &amp; Analytics team with a hands-on, technically skilled
 
 Data &amp; Analytics Engineer.
 
 
 
 
 
 
 
 What do we expect from our new team member?
 
 
 <ul>
 <li>
 
 Design, develop, and manage data pipelines and ETL processes
 
 on platforms (i.e. SSIS, SQL Server, Azure Data Factory/Fabric) to feed our Enterprise Data Warehouse (EDW).
 </li>
 <li>
 
 Integrate diverse data sources
 
 (i.e. enterprise sources like SAP, SAP BW, SQL Server, IoT systems and business sources like market data, 3rd-party APIs) to deliver analytics-ready datasets.
 </li>
 <li>
 
 Build and maintain scalable data systems, data models and data products
 
 that power enterprise reporting systems and self-service analytics across business teams
 
 (note: dashboard/report creation is not part of this role)
 
 .
 </li>
 <li>
 
 Own and manage data governance processes
 
 including metadata management, data lineage, report lineage, data quality, and data cataloging (with tools like Informatica).
 </li>
 <li>
 
 Own and manage integration and API catalog
 
 </li>
 <li>
 
 Optimize large-scale datasets
 
 to ensure query efficiency and scalability.
 </li>
 <li>
 Collaborate with
 
 cross-functional teams
 
 (data scientists, analysts, and business stakeholders) to design data structures that support business KPIs and reporting.
 </li>
 <li>
 Contribute to the
 
 design and deployment of scalable data architecture
 
 in Azure Fabric and EDW environments, ensuring future-proof solutions.
 </li>
 </ul>
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Software Engineering, Information Technology
 
 , or a related field.
 </li>
 <li>
 
 2+ years of experience
 
 in data engineering or data architecture roles.
 </li>
 <li>
 
 Advanced SQL skills
 
 for data transformation and performance optimization.
 </li>
 <li>
 Strong hands-on expertise with
 
 SSIS and SQL Server
 
 for ETL and data pipeline development.
 </li>
 <li>
 Experience or willingness to advance in
 
 Azure Data Factory/Fabric
 
 .
 </li>
 <li>
 
 Proficiency in Python
 
 (basic to intermediate, for automation and data processing).
 </li>
 <li>
 Familiarity with
 
 metadata, data lineage, and cataloging tools
 
 (e.g., Informatica).
 </li>
 <li>
 Experience in optimizing
 
 large-scale SQL Server environments
 
 (indexing, partitioning, query tuning).
 </li>
 <li>
 Understanding of
 
 ETL/ELT best practices, data modeling, governance, and security
 
 .
 </li>
 <li>
 Ability to
 
 work with and guide external consultants
 
 while ensuring best practices and process sustainability.
 </li>
 <li>
 Curious, self-driven, with
 
 strong analytical and communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 What do we offer you?
 
 
 <ul>
 <li>
 A chance to
 
 build and own the company&rsquo;s data backbone
 
 , shaping governance and architecture standards.
 </li>
 <li>
 Exposure to
 
 cutting-edge platforms
 
 (Azure Fabric, IoT, diverse external data sources).
 </li>
 <li>
 
 Career growth opportunities
 
 with training and certification support (e.g., Azure Data Engineer).
 </li>
 <li>
 Opportunities to
 
 lead and mentor external or junior resources
 
 while staying hands-on in development.
 </li>
 <li>
 A
 
 dynamic, transformation-driven environment
 
 , working on projects with impact across the business.
 </li>
 <li>
 At Eczac&inodot;ba&scedil;&inodot;, you can steadily improve your personal, professional, and technical competencies by participating in
 
 training programs
 
 that support you and your career.
 </li>
 <li>
 You will have access to opportunities for
 
 rotation
 
 among more than 50 companies and
 
 global experience
 
 in over 120 international markets.
 </li>
 <li>
 
 Vacation time
 
 at Eczac&inodot;ba&scedil;&inodot; is calculated according to seniority based on your total work experience. Your bring your seniority with you.
 </li>
 <li>
 We will always recognize your success through different
 
 reward
 
 methods.
 </li>
 <li>
 You can take advantage of location-independent or hybrid work opportunities through
 
 different work models
 
 suitable to the nature of your job, and you can determine your own work schedule with
 
 flexible work hours
 
 . We offer technology and ergonomic support packages to Eczac&inodot;ba&scedil;&inodot; employees who work remotely full-time.
 </li>
 <li>
 As a new parent working at Eczac&inodot;ba&scedil;&inodot;, you are privileged. Eczac&inodot;ba&scedil;&inodot; employees who are mothers are provided with monthly
 
 nursery support
 
 ; Eczac&inodot;ba&scedil;&inodot; employees who are fathers are entitled to a
 
 3-week paternity leave
 
 .
 </li>
 <li>
 People who savor
 
 culture and art
 
 are here! Thanks to the Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of
 
 Istanbul Modern
 
 , Turkey's first modern and contemporary art museum, you can visit the museum for free. Additionally, thanks to Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of Istanbul Foundation for Culture and Arts (&Idot;KSV), you can also enjoy the privilege and discounts of &Idot;KSV&rsquo;s Lale Card to all &Idot;KSV events.
 </li>
 <li>
 You can participate in Eczac&inodot;ba&scedil;&inodot;&rsquo;s
 
 volunteering activities
 
 , every one of which prioritizes social benefit, and get involved in projects that create social impact.
 </li>
 <li>
 We are committed to ensuring
 
 equal opportunity
 
 of employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority.
 </li>
 <li>
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen
 
 </li>
 </ul>
 
 
</div>

Data & Analytics 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)

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

Monitize AI

<div>About Us
We are building the world&rsquo;s most valuable robotics training datasets. Our mission is to capture and process large-scale video data of human actions and environments, then deliver structured datasets to leading robotics companies.
The Role
We&rsquo;re looking for a Computer Vision &amp; Robotics Engineer to take ownership of our video data pipelines from raw uploads to structured, client-ready datasets. You&rsquo;ll work with state-of-the-art tools (classic CV models + modern vision-language models) and annotation platforms to automate, scale, and ensure quality.
What You&rsquo;ll Do<ul>
<li>
Build scalable pipelines to process and clean massive amounts of video data.</li>
<li>Automate annotation workflows using classic CV models + vision-language models (ChatGPT, Gemini, etc.) + human QA.</li>
<li>Package datasets in industry-standard formats (COCO, AVA, pose/action recognition datasets).</li>
<li>Maintain high data quality: filtering, deduplication, validation, metadata consistency.</li>
</ul>
Requirements
What We&rsquo;re Looking For<ul>
<li>
Strong Python skills (OpenCV, PyTorch/TensorFlow, NumPy/Pandas).</li>
<li>Experience with large-scale video dataset processing.</li>
<li>Familiarity with robotics training processes and models.</li>
<li>Familiarity with annotation tools (Label Studio, CVAT, Supervisely, etc.).</li>
<li>Knowledge of dataset standards used in CV/robotics (COCO, Pascal VOC, AVA).</li>
<li>Hands-on experience automating labeling and data QA.</li>
<li>Familiarity with modern Vision-Language Models (ChatGPT, Claude, Gemini, etc.) and how they can assist in labeling/annotation.</li>
</ul>
Nice-to-Have<ul>
<li>
Background in robotics, autonomous driving, computer vision, or large-scale data companies.</li>
<li>Prior startup experience (fast iteration, lean teams).</li></ul></div>

Computer Vision & Robotics Engineer

Barikat Grup

<div>
 
 Barikat is looking for a
 
 Product Marketing Specialist
 
 to join our
 
 Marketing Department
 
 , based in
 
 Ankara or &Idot;stanbul
 
 .
 
 
 
 
 
 
 QUALIFICATIONS
 
 
 
 
 
 <ul>
 <li>
 Minimum 3 years of experience in
 
 product marketing or partner/vendor marketing
 
 (B2B technology/cybersecurity experience is a plus).
 </li>
 <li>
 Experience in MDF planning and ROI measurement.
 </li>
 <li>
 Proven ability in content development, campaign management, and digital distribution.
 </li>
 <li>
 Strong project management, communication, and cross-functional collaboration skills.
 </li>
 <li>
 KPI-driven mindset with experience in
 
 pipeline contribution, ROAS, and time-to-market
 
 metrics.
 </li>
 <li>
 Strong written and verbal communication skills in
 
 Turkish and English
 
 .
 </li>
 </ul>
 
 
 
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Develop annual/quarterly
 
 GTM plans
 
 with vendors and manage
 
 MDF budgets
 
 .
 </li>
 <li>
 Plan and coordinate end-to-end
 
 content, campaigns, and product launches
 
 .
 </li>
 <li>
 Collaborate with Sales and Presales teams to drive
 
 demand generation and pipeline acceleration
 
 .
 </li>
 <li>
 Manage strategic content for digital assets such as websites, product pages, and resource centers, ensuring
 
 content co-creation and utilization with vendors
 
 .
 </li>
 <li>
 Build scalable
 
 campaign calendars and playbooks
 
 .
 </li>
 <li>
 Track MDF investments and prepare
 
 ROI reports
 
 for events and campaigns.
 </li>
 <li>
 Manage digital content and communication processes for
 
 product launches, webinars, and partner campaigns
 
 .
 </li>
 <li>
 Ensure coordination with vendors and internal teams; maintain
 
 brand consistency
 
 .
 </li>
 <li>
 Prepare vendor-based
 
 quarterly QBR reports
 
 (results, learnings, next-quarter planning).
 </li>
 </ul>
 
 
 
 
 
 
 
 For detailed information on how your personal data is processed, you can review our "Candidate Information Note" at the following link:
 
 
 https://www.barikat.com.tr/kvkk-bilgilendirme
 
</div>

Product Marketing Specialist

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
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Managing a portfolio of high-value clients with a consultative, partnership-oriented approach
 </li>
 <li>
 Building trust-based relationships and acting as the strategic advisor to stakeholders
 </li>
 <li>
 Manage the sales cycle from opportunity to proposal creation to negotiation and closing
 </li>
 <li>
 Understand client requirements, propose suitable solutions, and build long-term relationships
 </li>
 <li>
 Understanding client goals and aligning solutions to support their success
 </li>
 <li>
 Coordinating with internal teams to deliver service excellence and resolve issues proactively
 </li>
 <li>
 Work closely with Business Development Representatives (BDRs) and Customer Success Managers (CSMs) for best of breed customer experience
 </li>
 <li>
 Stay up-to-date with Cloud and Licensing market trends and incorporate them into sales strategies
 </li>
 <li>
 Leading quarterly business reviews, performance reports, and upsell/renewal conversations
 </li>
 <li>
 Identifying and executing account growth opportunities
 
 </li>
 </ul>
 
 Requirements
 
 <ul>
 <li>
 Minimum 10 years of experience in Cloud (AWS, Azure, Google Cloud) and Licensing solutions
 </li>
 <li>
 Proven expertise in enterprise sales with strong B2B experience
 </li>
 <li>
 Excellent communication and negotiation skills, with a strong ability to acquire new clients
 </li>
 <li>
 Experience in evaluating sales opportunities, preparing proposals, and managing contract processes
 </li>
 <li>
 Excellent communication and negotiation skills, with a strong ability to acquire new clients
 </li>
 <li>
 Ability to analyze market dynamics and develop strategic sales approaches
 </li>
 <li>
 Results-driven and goal-oriented mindset
 </li>
 <li>
 Problem-solving mindset and ability to adapt to a fast-paced environment
 </li>
 <li>
 Advanced in English
 
 </li>
 </ul>
 
 
 Required Technical Skills and Experience
 
 
 
 Technical competence is essential not for coding, but for translating technical challenges into quantifiable business outcomes for C-level buyers.
 
 
 Strategic Solution Competence: The ability to articulate the business value and competitive advantage of Data, Artificial Intelligence (AI), and Cloud (GCP) solutions to C-level executives. Critical competence includes understanding core architectural concepts and transforming a customer's technical challenges into a clear quantification of the financial return on investment (ROI) delivered by Oredata Services.
 
 
 Qualification Framework Expertise: Proven, hands-on experience utilizing the MEDDIC methodology for sales qualification and accurate revenue forecasting.
 
 
 CRM and Pipeline Discipline: Meticulous maintenance of pipeline data within the CRM (Salesforce prefarably) , ensuring that all deal stages are backed by verified buyer evidence (e.g., defined Metrics, confirmed Economic Buyer) .
 
 
 Competitive Intelligence: Proficiency in utilizing competitive analysis and internal battle cards to differentiate Oredata's Services against competing solutions or internal customer initiatives.
 
 
 Required Soft Skills and Behavioral Traits
 
 
 Consultative Selling Mastery: Exceptional ability to conduct comprehensive discovery (leveraging SPIN techniques) to identify and amplify the customer's core business pain points .
 
 
 Executive Presence: Confidence and credibility to engage with and challenge senior executives (CFOs, CTOs) to drive high-impact, strategic decisions.
 
 
 Goal Orientation: Innate drive, optimism, and resilience required to navigate long B2B sales cycles and consistently achieve new logo revenue quotas.
 
 
 Team Collaboration: Proven ability to work seamlessly with BDRs (for pipeline quality) and CSMs (for post-sale value realization).
 
 
 
 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>
 Remote working and flexible time off
 </li>
 <li>
 Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
 </li>
 <li>
 Access to Online Training Platforms (Udemy, Praktika ,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>

Account Executive

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