software engineer

ai engineer

data analyst

data engineer

ai architect

analytics 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 an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.
 </li>
 <li>
 Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).
 </li>
 <li>
 Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.
 </li>
 <li>
 Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.
 </li>
 <li>
 Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.
 </li>
 <li>
 Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
 </li>
 <li>
 3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.
 </li>
 <li>
 Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.
 </li>
 <li>
 Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).
 </li>
 <li>
 Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.
 </li>
 <li>
 Experience applying software engineering best practices to data, including version control (Git) and CI/CD.
 </li>
 <li>
 Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.
 </li>
 <li>
 An agile mindset for data product development.
 </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>

Analytics 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

Arute Solutions

<div><div><h2 class="jobSectionHeader">Responsibilities</h2>
<ul><li>Apply machine learning and statistics expertise to solve analytical problems mainly in finance and location analytics.</li>
<li>Work closely with a software development team to convert analytic results into software products.</li>
<li>Use machine learning expertise to conceptualize new solutions for financial or other problems.</li>
<li>Communicate and document progress and results to the customers and produce analytical reports.</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>
<ul><li>BS or preferable MS degree in Computer Science, Computational Science, Data Science or general Engineering or related disciplines from a reputable university.</li>
<li>Solid theoretical understanding of machine learning concepts and algorithms.</li>
<li>Practical experience with supervised and unsupervised machine learning algorithms (e.g. random forest, multilayer perceptron, SVM, k-means clustering, PCA).</li>
<li>Experience with Python 3 and its scientific computation and visualisation packages (e.g. numpy, pandas, scikit-learn, matplotlib).</li>
<li>Skills in data preprocessing, cleaning and data visualisation.</li>
<li>Proficiency (theoretical know-how) in probability and statistics.</li>
<li>Good working experience with SQL is necessary to extract and work with data residing in RDMSes.</li>
<li>Fluency in written/spoken presentation of analytical results in English.</li>
</ul><h2 class="jobSectionHeader">Nice to Haves</h2>
<ul><li>Experience with deep learning libraries is a plus (e.g. TensorFlow, PyTorch).</li>
<li>Experience with an additional, OOP language is a plus (e.g. C#, C++).</li>
<li>Experience with distributed big-data computing frameworks is a plus (e.g. Hadoop, Spark, Kafka).</li>
<li>Experience with financial data and solutions experience is a plus.</li>
<li>Experience with Time-Series Forecasting is a big plus.</li></ul></div></div>

Kıdemli Veri Bilimcisi/Makine Öğrenimi Mühendisi

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

Overview We are seeking a skilled Splunk Engineer with strong administration and operational experience to design, implement, and maintain Splunk infrastructure and analytics solutions. The ideal candidate will have hands-on expertise in Splunk Enterprise / Enterprise Security (ES), data onboarding, dashboard creation, alert tuning, and system administration. This role bridges engineering, operations, and security analytics, ensuring Splunk runs optimally while delivering actionable insights.Key Responsibilities<ul><li>Design, deploy, and maintain Splunk environments (indexers, search heads, forwarders, deployment servers, cluster masters).</li><li>Create and optimize SPL queries, dashboards, reports, and alerts for operational visibility and threat detection.</li><li>Develop and automate data onboarding pipelines from diverse sources (syslog, cloud, API, EDR tools).</li><li>Integrate Splunk with SIEM/SOAR platforms, cloud services (AWS, Azure, GCP), and endpoint security tools.</li><li>Support use case development for security monitoring and compliance (SOC, IT Ops, or DevOps).</li><li>Perform installation, configuration, and upgrade of Splunk components.</li><li>Manage user roles, authentication, and access control (RBAC).</li><li>Monitor system health, indexing performance, and data retention policies.</li><li>Handle license management, data optimization, and troubleshooting.</li><li>Conduct backup, recovery, and disaster recovery planning for Splunk infrastructure.</li></ul>Security &amp; Operations<ul><li>Collaborate with SOC Analysts to build and tune correlation searches.</li><li>Ensure data integrity, confidentiality, and compliance with security standards (SOC 2, ISO 27001, NIST).</li><li>Participate in incident response and threat analysis leveraging Splunk dashboards.</li><li>Automate repetitive tasks using scripts (Python, Bash, PowerShell) and APIs.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Security, or related field.</li><li>3+ years of experience in Splunk engineering or administration.</li><li>Proficiency in Splunk Enterprise / ES, SPL scripting, and data onboarding.</li><li>Experience managing Splunk clusters, indexing, and search head configurations.</li><li>Strong understanding of log parsing, data normalization, and regex extractions.</li><li>Familiarity with Linux/Windows administration and network security concepts.</li><li>Experience with security frameworks (NIST, MITRE ATT&amp;CK, SOC2, PCI-DSS).</li><li>Scripting skills in Python, Shell, or PowerShell.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Splunk Certifications:</li><li>Splunk Core Certified Power User</li><li>Splunk Enterprise Certified Admin</li><li>Splunk Enterprise Security Certified Admin</li><li>Knowledge of cloud-based Splunk (Splunk Cloud, AWS, Azure integrations).</li><li>Experience working in a Security Operations Center (SOC) 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 (Required)</li></ul>Experience:<ul><li>Splunk Engineer: 4 years (Required)</li></ul>

Splunk Engineer

Job Overview We are seeking a talented Front End Developer to join our dynamic team. In this role, you will be responsible for creating engaging and user-friendly web applications that enhance the overall user experience. You will collaborate with designers, product managers, and back-end developers to deliver high-quality digital solutions for our e-commerce platform and mobile applications. The ideal candidate will have a strong foundation in front-end development technologies and a passion for design and usability.Key Responsibilities:<ul><li>Develop and maintain responsive web applications using HTML, CSS and JavaScript frameworks such as React or Angular.</li><li>Collaborate closely with UX/UI designers to implement visually appealing interfaces with strong usability, accessibility and interaction design.</li><li>Participate in the full software development lifecycle (SDLC): requirements gathering, wireframing, prototyping, user flows, and user acceptance testing.</li><li>Conduct user research and usability testing to inform design decisions and validate user experience assumptions.</li><li>Incorporate data-visualisation techniques and analytics, enabling effective presentation of insights within applications.</li><li>Optimise applications for speed, scalability, cross-browser compatibility, and mobile responsiveness.</li><li>Work in an Agile environment, delivering features iteratively and collaborating in sprints.</li><li>Implement A/B testing and evaluate design/feature effectiveness to drive user engagement and conversion.</li><li>Stay up to date with emerging trends in front-end development, design thinking, UI/UX best practices, and web technologies.</li></ul>Requirements:<ul><li>Proficiency in front-end development languages: HTML, CSS, JavaScript and frameworks such as React or Angular.</li><li>Experience working on e-commerce platforms and/or mobile applications (web-mobile hybrid or native integrations).</li><li>Familiarity with design and prototyping tools such as Figma, Adobe XD, Sketch or InVision.</li><li>Strong understanding of web accessibility standards (WCAG) and responsive design principles.</li><li>Experience working with RESTful APIs for seamless front-end/back-end integration.</li><li>Familiarity with analytics tools such as Google Analytics 360 or Adobe Analytics for data-driven UX decisions.</li><li>Comfortable working collaboratively in a team-oriented environment, using Agile methodologies (Scrum/Kanban).</li><li>Strong analytical skills, with emphasis on interaction design, information architecture and usability testing.</li><li>Experience with version control systems such as Git.</li><li>Bonus: Experience in mobile-first design, progressive web apps (PWAs), and performance optimisation techniques</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>UI UX Engineer: 3 years (Required)</li></ul>

UI/UX Engineer

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