business analyst

backend developer

data analyst

data scientist

data engineer

data developer

Migros One

<div>
 
 
 Who are we?
 
 
 
 Our business is technology, food and retail. We are a young team that combines all resources with technology; Our goal is to provide an excellent e-commerce service to meet your needs. In short, you can call us Migros One. 😉
 
 
 
 
 
 Today, as a team that holds the
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate with the contributions of our employees we produce, learn and develop together. We rediscover our passion for our business every day and build Migros One culture together.
 
 
 
 
 
 
 Our Culture
 
 
 
 We are #ONE to create a better tomorrow for our community. Our way of working includes four core values that we strive to act:
 
 
 1. Take accountability with passion
 
 
 2. Drive innovation with curiosity
 
 
 3. Make a difference for our customers
 
 
 4. Create open communication
 
 
 
 
 
 We live these values every day and create an environment where everyone enjoys working. Our business culture based on trust, openness and innovation has been recognized with our
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate!
 
 
 
 
 
 
 What Do We Do?
 
 
 
 As Migros One; We spread happiness in being the pioneer of innovation in the field of food and retail technology with our brands
 
 Migros Sanal Market, Migros Hemen, Migros Extra, Migros Yemek, Macroonline, Tazedirekt, Mion and Petimo!
 
 
 
 
 
 
 Our determination to find fast and effective solutions always keeps us one step ahead. Our team's passion and energy make their jobs enjoyable.
 
 
 
 
 
 Thanks to our people-oriented approach, we aim to create a more comfortable and practical world for everyone by using them all. We constantly strive to provide the best experience to our consumers and employees! As Migros One team, we get excited with every member of our team creating his/her own career story!
 
 
 
 
 
 If you would like to be a part of this visionary and tech-savvy e-commerce team, don&rsquo;t wait! Make your application!
 
 
 
 
 
 We are looking for
 
 Data Engineer
 
 who will be on our team.
 
 
 
 
 
 
 
 
 
 What you will be doing
 
 
 <ul>
 <li>
 You'll brainstorm with other team members to conceptualize and build new features for our products.
 </li>
 <li>
 You&rsquo;ll produce high-quality data pipelines by contributing heavily to team projects that have a significant impact on the business.
 </li>
 <li>
 You&rsquo;ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
 </li>
 <li>
 You'll assist our skilled support team and operations team in triaging and resolving production issues.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What you should have
 
 
 
 
 
 <ul>
 <li>
 You&rsquo;ve been building robust data pipelines professionally for 0+ years. :)
 </li>
 <li>
 You have familiarity with functional or imperative programming languages -- e.g., PHP, Python, Ruby, Go, C, or Java.
 </li>
 <li>
 You have familiriaty with or interest in technologies like Apache Kafka, Apache Airflow, Google Cloud BigQuery, Elasticsearch.
 </li>
 <li>
 You have strong analytical skills and firm understanding of relational and non-relational database systems.
 </li>
 <li>
 You write understandable, testable code with an eye towards maintainability.
 </li>
 <li>
 You are a strong communicator.
 </li>
 <li>
 You possess strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
 </li>
 <li>
 You have completed a bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.
 </li>
 </ul>
 
 
</div>

Data Engineer

Wingie Enuygun Group

<div>Wingie Enuygun Group is Turkey&rsquo;s leading travel marketplace with more than 20 million visitors and 70 million page impressions each month. With its user-focused service, more than 500,000 travelers worldwide book their flights on Wingie Enuygun Group every month.
We invite you to have the opportunity to work in Wingie Enuygun Group's young and dynamic team. We are looking for a Data Engineer for Wingie Enuygun Group's growing Growth department. With this position, you will have the chance to take part in the team that has developed one of the most successful internet businesses in Turkey.
Requirements
What makes you special? 
<ul><li><ul>
<li>You have a minimum of 3 years of hands-on experience in data engineering, with a strong background in building and orchestrating scalable, maintainable data systems.</li>
<li>You hold a bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field.</li>
<li>You've worked in technology-driven companies, especially those focused on data platforms or data products.</li>
<li>You&rsquo;re a collaborative team player who communicates effectively with cross-functional teams including data analysts, scientists, engineers, and stakeholders.</li>
<li>You&rsquo;re passionate about writing clean, reusable, and modular code, with a solid understanding of Object-Oriented Programming (OOP) and software design principles like SOLID and DRY.</li>
<li>You continuously learn and evolve with the latest in data, cloud, and software engineering, always striving to build robust, production-ready systems.</li>
</ul></li></ul>What will you do? 
<ul><li><ul>
<li>Design and implement scalable, maintainable data pipelines using Apache Airflow, following best practices for code organization and modularity.</li>
<li>Containerize data services using Docker and orchestrate deployments in Kubernetes, ensuring high availability and scalability.</li>
<li>Implement automated CI/CD pipelines to streamline testing, building, and deployment processes across environments.</li>
<li>Architect efficient BigQuery schemas and datasets, ensuring cost-effective, performant analytics and reporting.</li>
<li>Build and expose RESTful APIs for deploying and serving data science models, following robust versioning and documentation standards.</li>
<li>Collaborate with data science teams to support the full lifecycle of model development, from experimentation to production.</li>
<li>Enforce strong data governance, including lineage, quality checks, and automated monitoring.</li>
<li>Continuously evaluate and adopt new tools and methodologies in cloud-native data engineering and DevOps
</li></ul></li></ul>Benefits
What do we offer?<ul>
<li>The opportunity to work with the latest technologies and tools which serve the needs of millions of travelers worldwide,</li>
<li>The chance to witness firsthand how we have managed to become a rapidly scaling and now globalized e-commerce company in Turkey and to be a part of a culture that centers around data, productivity, and customer satisfaction,</li>
<li>Lifelong learning, development, and growth opportunities with ongoing training sessions, internal and external training programs, and free access to e-learning platforms such as Coursera, Udemy, Symfonycasts, Lynda, Edx, Oreilly,</li>
<li>Appointments with our nutritionist for you to take a step towards healthier lifestyle,</li>
<li>Gift Card so that you can unwind after a productive day by watching your favorite shows,</li>
<li>A comprehensive orientation program to get you acquainted with the Wingie Enuygun team and start contributing from the first day,</li>
<li>An office environment without a dress code,</li>
<li>Meal card for lunch and daily access to healthy snacks (Multinet),</li>
<li>Social club memberships (Hiking Club, Animal Protection Club, Basketball Club, Football Club, Volleyball Club, Chess Club, Game Club, Culture and Art Club),</li>
<li>Complementary health insurance (Anadolu Sigorta),</li>
<li>Life insurance (Zurich),</li>
<li>Travel fee for the day you arrive at the office</li>
<li>Commuter benefits covering the number of days you come to the office,</li>
<li>Two big parties to celebrate your successes with your team,</li>
<li>Discounts on flight tickets and hotel reservations from Wingie Enuygun Group,</li>
<li>Carrefour Gift Card to contribute to grocery shopping once a year,</li>
<li>Marriage and birth gifts</li></ul></div>

Virtuagym

<div>As Virtuagym keeps growing, we are looking for a Data Engineer (Finance Systems / Netsuite) to join our Finance Automation team. In this unique role, you will combine data engineering with financial systems expertise to design, optimize, and scale our ERP environment (NetSuite) and its integrations with other business-critical tools.
You&rsquo;ll be working with billions of rows of data from thousands of clients, but with a special focus on finance operations and automation. You&rsquo;ll help us build scalable workflows, integrate systems, and develop reporting solutions that drive both financial accuracy and operational efficiency.
This is a great opportunity if you&rsquo;re excited about data engineering challenges but also want to apply your skills to the finance domain, where automation, accuracy, and compliance are key.
This is a remote position, where you will be working as part of our Global Finance Automation (FinAuto) team. We are looking for somebody on full-time, part-time or freelance basis. We are a remote-friendly company, meaning you can work from your home at all times, however you need to be based in Turkey.
What this role looks like 
As a Finance Systems / NetSuite Engineer, you will play a key role in designing, developing, and optimizing our Financial Tech Stack and its integrations with other business-critical tools. As a fast-growing tech company, we are constantly building scalable, automated, and robust operational systems, your engineering expertise will be fundamental to our success. 
The ideal candidate will have 2+ years of (Finance) data engineering or development experience, with strong technical skills in data, integrations, and system architecture, combined with a solid understanding of financial operations:<ul><li>
Design, implement, and manage highly scalable financial data workflows using NetSuite and other tools.</li><li>
Connect, transform, and visualize large datasets (ERP, BI, transactional data).</li><li>
Develop and maintain integrations between NetSuite, Stripe, Salesforce and other platforms.</li><li>
Create and optimize reporting and dashboards in close collaboration with Finance and BI teams.</li><li>
Lead projects end-to-end: gather business requirements, architect solutions, test in sandbox environments, and roll out to production.</li><li>
Collaborate with product managers, data scientists, and finance analysts to accelerate automation and analytics.</li><li>
Contribute to shaping the future of Finance Automation at Virtuagym, ensuring scalable, automated, and robust financial systems.</li></ul> 
What You Bring<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Statistics, or Finance/Business with a strong technical affinity.</li><li>
2+ years of experience in data engineering, finance systems engineering, or ERP development.</li><li>
Strong knowledge of SQL and relational databases.</li><li>
Hands-on programming/scripting skills (Python, Java, SuiteScript, etc.).</li><li>
Experience with cloud services (AWS, RDS, EC2, etc.).</li><li>
Finance knowledge: basic understanding of BS, P&amp;L, Cash Flow, reconciliation, FX, etc.</li><li>
Excellent verbal and written English communication skills.</li><li>
Strong interest in automation, data-driven solutions, and the future of finance operations.</li></ul>
Important note: please do apply if you meet 70%+ of the criteria. At Virtuagym we hire great people, not just resumes. If you can't check off a few requirements but are a fast learner, we&rsquo;d love to hear from you!
Here&rsquo;s why you should come work with us 
Next to being inspired daily by talented and motivated colleagues and having plenty of opportunities for personal and professional growth, these are the main Virtuagym perks:
About Virtuagym 
Virtuagym is a leading and fast-growing innovator in the digital health and fitness domain, offering a Software as a Service solution and multiple native apps to users worldwide. We offer coaching and management solutions for trainers, studios, clubs and corporate wellness, all with the vision to make the world a healthier and happier place.
Virtuagym is an ambitious, passionate and multicultural team of talented people who want to create a healthier world for all. We believe in teamwork, challenging each other, being bold and adventurous, working lean, taking care of each other and sharing success. As a scale-up, we embrace our diversity, international character and our flat hierarchy that promotes great freedom, taking ownership and making a true impact. Our talented staff of 240+ employees are based out of two locations: Amsterdam, NL, and Medellin, CO.
Every day with us will be an opportunity to cultivate and evolve your personal and professional skills, as well as to make a significant impact on a global scale. At Virtuagym everyone can grow, whatever background you bring with you. We are not just colleagues, we are friends, willing to help and support each other. By joining us, you become a part of a joyful and energetic team.
Ready to join us? 
Please do not hesitate to apply by clicking the &lsquo;Apply for this Job&rsquo; button below! We will get back to your application within 10 working days.
For any questions on the vacancy, please get in touch with the recruitment team at recruitment@virtuagym.com.</div>

Data Engineer (Finance) - Turkey

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150 + million fans worldwide!
Check out our smash-hit games:
 Critical Strike: Download it here<ul><li>&#65039; Polygun Arena: Download it here</li></ul>
Now, we're looking for a passionate Data Engineer to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, requiring you to work 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide!
 Watch our office video to get an inside look at the great work environment you'll join! Watch it here
Requirements<ul>
<li>Own and evolve our Airflow &amp; DBT-based data pipeline architecture.</li>
<li>Develop reliable and cost-efficient data workflows that ensure timely and accurate data delivery.</li>
<li>Build and maintain ETL/ELT processes to ingest data from external and internal sources.</li>
<li>Collaborate with analysts, engineers, and product teams to design scalable data models.</li>
<li>Implement and optimize data warehouse structures (BigQuery or others) for analytical efficiency.</li>
<li>At least 1 proven DWH project experience in cloud-native architectures (GCP or AWS)</li>
<li>Monitor and troubleshoot pipeline failures, optimize for performance and cost-efficiency.</li>
<li>Ensure data quality, consistency, and governance across the stack.</li>
</ul>Required Skills<ul>
<li>2+ years of experience in a data engineering or backend data-focused role.</li>
<li>Proficiency in DBT for data modeling and transformation.</li>
<li>Hands-on experience with Apache Airflow for orchestration and scheduling.</li>
<li>Solid understanding of ETL/ELT pipelines and cloud-based data workflows.</li>
<li>Experience working with Google Cloud Platform (e.g., BigQuery, Cloud Run, Cloud Functions, Cloud SQL).</li>
<li>Proficiency in Python for scripting and workflow automation.</li>
<li>Strong command of SQL and experience building data models in a warehouse environment.</li>
<li>Understanding of cost optimization practices in cloud environments.</li>
<li>Familiarity with CI/CD processes and version control systems like Git.</li>
<li>Good communication skills and the ability to work cross-functionally with analysts and developers.</li>
</ul>Benefits
<ul> <li>Competitive net salary</li>
 <li>Meal Card</li>
 <li>Private Health Insurance</li>
 <li>Monthly-based financial support for educational platforms</li>
 <li>Company equity: Share in the company to make you an owner, not just an employee</li>
 <li>Birthday leave</li>
 <li>Retention bonus</li>
 <li>Referral bonus</li>
 <li>5 days of annual leave from the start date</li> 
</ul> 
Interviewing<ul>
<li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting</li></ul></div>

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 Senior Data Scientist to join our team within a leading company in the manufacturing industry.
Responsibilities:<ul>
<li>Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly.</li>
<li>Analyze large datasets to extract meaningful patterns, valuable insights and inferences.</li>
<li>Design, develop and deploy advanced analytical models to solve complex problems.</li>
<li>Employ scientific approach for conducting experimental design and rapid prototyping.</li>
<li>Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results.</li>
<li>Iteratively improve the solutions to meet the highest-class standards and productionize.</li>
<li>Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences.</li>
<li>Manage data science projects, ensuring they meet business requirements and are delivered on time.</li>
<li>Research the best practices to build the next generation analytics products and services.</li>
</ul>Requirements:<ul>
<li>Bachelor&rsquo;s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline.</li>
<li>At least 7-10 years of working experience in the field of data science.</li>
<li>Demonstrated track record of delivering impactful, independent projects in prior roles.</li>
<li>Manufacturing process domain expertise is a plus.</li>
<li>Advanced proficiency in SQL and Python.</li>
<li>Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data.</li>
<li>In-depth knowledge of causality and statistical inference.</li>
<li>Expertise in statistical modeling and optimization techniques.</li>
<li>Experience in time series modeling is a plus.</li>
<li>Experience in building MLOps pipelines is a plus.</li>
<li>Eagerness to learn new technologies and domains, a can-do attitude.</li>
<li>Having strong desire to take initiative and solve real world problems.</li>
<li>Multi-disciplinary and cooperative ability to communicate effectively with diverse domains.</li>
<li>Excellent verbal and written communication skills in English.</li>
<li>No restrictions to travel in and abroad.</li>
</ul>Why Oredata?<ul>
<li>Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<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>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</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>

Senior Data Scientist

KoçDigital

<div>
 
 
 Company Profile
 
 
 
 Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 
 
 
 
 
 
 Role Profile
 
 
 
 We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Time Series &amp; Forecasting Model Development
 
 
 &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 
 
 &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 
 
 &bull; Optimization &amp; Predictive Analytics
 
 
 &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 
 
 &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 
 
 &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 
 
 &bull; Machine Learning Engineering &amp; Model Deployment
 
 
 &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 
 
 &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 
 
 &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 
 
 &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 
 
 
 
 
 
 General Qualifications
 
 
 
 
 
 
 &bull;
 
 Educational Background
 
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field.
 
 
 
 
 
 &bull;
 
 Experience
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Technical Skills
 
 
 &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 
 
 &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 
 
 &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 
 
 &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 
 
 &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 
 
 &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 
 
 &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 
 
 &bull; Domain Knowledge
 
 
 &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 
 
 &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 
 
 &bull; Analytical &amp; Business Acumen
 
 
 &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 
 
 &bull; Excellent verbal and written communication skills in English.
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 &bull;
 
 Impactful Work
 
 : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 
 
 &bull;
 
 Innovative Environment:
 
 Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 
 
 
 &bull; Professional Growth:
 
 Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 Akademi Plus - Technical and Personal Development Trainings
 </li>
 <li>
 Ko&ccedil; Group and internal career opportunities/rotations
 </li>
 <li>
 On-campus sports center and Ko&ccedil; Community Sports Club opportunities
 </li>
 <li>
 Flextra - Flexible benefits package
 </li>
 <li>
 Social Support Payments
 </li>
 <li>
 Mobile phone and internet
 </li>
 <li>
 TokenFlex digital meal card
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
 </li>
 </ul>
 
 
</div>

GT İnovasyon

<div>
 
 Perakende sekt&ouml;r&uuml;nde &ouml;nc&uuml; m&uuml;&scedil;terimiz i&ccedil;in &ccedil;al&inodot;&scedil;mak &uuml;zere Veri Analiti&gbreve;i ekibimize kat&inodot;lacak deneyimli bir
 
 Data Engineer
 
 ar&inodot;yoruz. Bu pozisyonda, farkl&inodot; sistemlerden veri toplama, saklama ve i&scedil;leme, veri s&uuml;re&ccedil;leri geli&scedil;tirme ve optimize etme, veri kalitesini sa&gbreve;lama gibi kritik g&ouml;revlerden sorumlu olacaks&inodot;n&inodot;z.
 
 
 
 
 
 
 Sorumluluklar:
 
 
 <ul>
 <li>
 Farkl&inodot; sistemlerden veri toplayarak tutarl&inodot; ve g&uuml;venilir bir veri kayna&gbreve;&inodot; olu&scedil;turmak ve saklamak
 </li>
 <li>
 Veri s&uuml;re&ccedil;lerinin tasarlanmas&inodot;, geli&scedil;tirilmesi ve s&uuml;rekli bak&inodot;m&inodot;n&inodot; sa&gbreve;lamak
 </li>
 <li>
 Veri kalitesinin takip etmek ve gerekli d&uuml;zenlemeleri uygulamak
 </li>
 <li>
 Veri taban&inodot;n&inodot; ve s&uuml;r&ccedil;lerini y&ouml;netmek
 </li>
 <li>
 Veri ve s&uuml;re&ccedil;leri ile ilgili sorunlar&inodot; tespit etmek ve &ccedil;&ouml;zmek
 </li>
 <li>
 Veri Analiti&gbreve;i proje payda&scedil;lar&inodot;n&inodot;n gereksinimlerini analiz etmek ve uygun &ccedil;&ouml;z&uuml;mler geli&scedil;tirmek
 </li>
 <li>
 Veri ekibi ve &ccedil;apraz fonksiyonel ekiplerle etkili bir &scedil;ekilde i&scedil; birli&gbreve;i yapmak
 </li>
 <li>
 Birden fazla projeyi &ouml;nceliklendirerek, belirlenen zaman &ccedil;izelgesine uygun &scedil;ekilde veriye y&ouml;nelik ad&inodot;mlar&inodot; y&ouml;netmek
 </li>
 </ul>
 
 
 
 
 
 Aranan Nitelikler:
 
 
 <ul>
 <li>
 M&uuml;hendislik, &Idot;statistik veya ilgili alanlardan mezun
 </li>
 <li>
 Veri m&uuml;hendisli&gbreve;i alan&inodot;nda en az 2 y&inodot;l deneyimli
 </li>
 <li>
 SQL ve veri tabanlar&inodot; konusunda en az 2 y&inodot;l deneyimli
 </li>
 <li>
 Veri modelleme tecr&uuml;be sahibi
 </li>
 <li>
 ETL s&uuml;re&ccedil;leri ve test etme konusunda tecr&uuml;be sahibi
 </li>
 <li>
 Tercihen Python programlama konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tercihen Spark konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tercihen PowerBI raporlama konusunda uygulamal&inodot; deneyim sahibi
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n, analitik d&uuml;&scedil;&uuml;nme becerisine sahip ve problem &ccedil;&ouml;zme yetene&gbreve;i geli&scedil;mi&scedil;
 </li>
 </ul>
 
 
 
 
 
 Ne Sunuyoruz?
 
 
 <ul>
 <li>
 Dinamik ve yenilik&ccedil;i bir &ccedil;al&inodot;&scedil;ma ortam&inodot;
 </li>
 <li>
 Kendi alan&inodot;nda uzman bir ekip ile birlikte &ccedil;al&inodot;&scedil;ma f&inodot;rsat&inodot;
 </li>
 <li>
 Kariyer geli&scedil;im f&inodot;rsatlar&inodot; ve e&gbreve;itim deste&gbreve;i
 </li>
 <li>
 Hibrit &ccedil;al&inodot;&scedil;ma imk&acirc;n&inodot;
 </li>
 </ul>
 
 
 
</div>

Explore 803+ Data developer in Istanbul this September. Find roles across top companies and apply now to boost your career.

803 data developer jobs IN Istanbul

Data Engineer

Data Engineer

Data Engineer (Finance) - Turkey

Data Engineer

Senior Data Scientist

Senior Data Scientist

Data Engineer