data scientist

devops engineer

lead data scientist Jobs in Istanbul Turkey

lead data scientist

senior data scientist Jobs in Istanbul Turkey

senior data scientist

software engineer Jobs in Istanbul Turkey

software engineer

data engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 "Senior - Mid Big Data Engineer
 
 " on behalf of our global business partner runs in
 
 Telecommunications
 
 Industry.
 
 
 
 
 
 About Role
 
 
 
 
 
 We are looking for a
 
 Senior&ndash;Mid Big Data Engineer
 
 to join our delivery-focused Big Data team. This role is fully aligned with production data migration and Big Data service deployment activities.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Execute data migration projects, ensuring data accuracy, performance, and operational stability.
 </li>
 <li>
 Deploy, configure, and operate Big Data services and platforms in live production environments.
 </li>
 <li>
 Install, configure, and maintain Big Data clusters, including Hadoop ecosystem components (HDFS, Hive, Spark, Flink, MapReduce).
 </li>
 <li>
 Perform DWS (Data Warehouse Service) deployments, including setup, configuration, tuning, and post-deployment support.
 </li>
 <li>
 Design, implement, and maintain ETL/ELT pipelines for production Data Warehouses and Data Lakes.
 </li>
 <li>
 Optimize and troubleshoot batch processing workloads using Hive, Spark, and related technologies.
 </li>
 <li>
 Implement and support data ingestion pipelines, including real-time components where applicable.
 </li>
 <li>
 Provide on-site and remote delivery support to international customers during deployment and migration phases.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 BSc or MSc degree in Computer Engineering, Computer Science, Software Engineering, or a related technical discipline.
 </li>
 <li>
 4&ndash;8 years of professional experience in Big Data Engineering, with a strong focus on delivery, data migration, and production operations.
 </li>
 <li>
 Strong experience with Spark, Flink, Hadoop, and related Big Data technologies.
 </li>
 <li>
 Proficiency in Python or Java.
 </li>
 <li>
 Solid experience with SQL development (MySQL, PostgreSQL).
 </li>
 <li>
 Hands-on experience with batch processing using Hive and Spark.
 </li>
 <li>
 Strong understanding of Data Warehouse and Data Lake architectures.
 </li>
 <li>
 Experience working in Unix/Linux environments.
 </li>
 <li>
 Ability to work in production environments with high availability and performance requirements.
 </li>
 <li>
 Strong communication skills in international delivery teams.
 </li>
 <li>
 Fluency in written and spoken English is mandatory.
 </li>
 <li>
 Willingness and flexibility to travel internationally.
 </li>
 <li>
 Strong sense of ownership for end-to-end delivery and production stability.
 </li>
 </ul>
 
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 
 <ul>
 <li>
 Experience with real-time ingestion systems such as Kafka or RabbitMQ.
 </li>
 <li>
 Experience with monitoring, alerting, and performance tuning of Big Data platforms.
 </li>
 <li>
 Exposure to cloud-native Big Data services.
 </li>
 </ul>
 
 
 
 
 
 
 Seniority Expectations
 
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of ETL/ELT methodologies and production best practices.
 </li>
 <li>
 Proven ability to design, deploy, and operate complex data pipelines in live environments.
 </li>
 <li>
 Ability to independently own delivery activities, guide implementation decisions, and mentor junior engineers.
 </li>
 </ul>
</div>

Big Data Engineer

NMQ Digital

<div>
 
 
 ABOUT US
 
 
 
 We are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product &amp; Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM &amp; E-Mail Marketing Automation, DX &amp; Development, Data Management &amp; Analytics, Project Management, Digital Consultancy, and Recruitment.
 
 
 
 
 
 As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota &amp; Portland. With our exceptionally talented &amp; diverse team, and our A+ client portfolio, the world is our oyster!
 
 
 
 
 
 We are currently looking for a Senior Data Engineer to join our team in T&uuml;rkiye!
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Partner closely with data consumers (Analytics, Product, Business) to translate business requirements into scalable data solutions
 </li>
 <li>
 Design, build, and own
 
 high-performance, reusable, and scalable data models
 
 for the data warehouse, enabling consistent self-service analytics
 </li>
 <li>
 Develop and optimize
 
 complex data transformations
 
 using SQL and Python
 </li>
 <li>
 Own the full data lifecycle:
 
 ingestion, transformation, testing, deployment, monitoring, and documentation
 
 </li>
 <li>
 Ensure high data quality through validation, testing, and proactive issue detection
 </li>
 <li>
 Contribute to analytics enablement by preparing curated datasets suitable for advanced analysis and predictive use cases
 </li>
 <li>
 Work across a modern cloud data stack including
 
 Snowflake, Databricks, Airflow, Fivetran, AWS, and GCP (BigQuery, Cloud Composer, Dataflow)
 
 </li>
 </ul>
 
 
 
 
 
 Skill Requirements
 
 
 <ul>
 <li>
 
 7+ years of experience
 
 as a Data Engineer or Software Engineer in a fast-paced, data-driven environment
 </li>
 <li>
 Proven ability to
 
 lead end-to-end data engineering projects
 
 with minimal supervision
 </li>
 <li>
 Strong expertise in
 
 SQL and Python
 
 , with hands-on experience in data modeling and data warehousing
 </li>
 <li>
 Experience with transformation frameworks and orchestration tools such as
 
 dbt, Airflow, Cloud Dataflow
 
 </li>
 <li>
 Solid understanding of
 
 software engineering best practices
 
 applied to data (version control, testing, CI/CD)
 </li>
 <li>
 Strong experience building scalable data pipelines and warehouses using
 
 cloud platforms
 
 (Snowflake, AWS, GCP, Databricks/Spark)
 </li>
 <li>
 Hands-on experience with
 
 ETL/ELT processes
 
 , scheduling tools, and API-based data integrations
 </li>
 <li>
 Familiarity with data visualization tools (e.g. Looker, Tableau, Adobe Analytics, Power BI) to support analytics use cases
 </li>
 <li>
 Strong attention to detail and a proactive approach to identifying and resolving data quality issues
 </li>
 <li>
 Self-starter with strong ownership, problem-solving, communication, and stakeholder management skills
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 
 
 Hybrid Work Model
 
 💻: We continue to prioritize flexibility, boost productivity, and support a balanced work-life environment for our employees for our employees in &Idot;stanbul, Ankara and &Idot;zmir!
 
 
 
 Meal Allowance🍔:
 
 We provide a meal card of 300 TRY per working day.
 
 
 
 Private Health Insurance
 
 🩺: We provide private health insurance from Allianz.
 
 
 
 Private Pension Plan💰:
 
 Pension payment to support your retirement benefits.
 
 
 
 Birthday Time Off🎂:
 
 A half-day off is granted on birthdays.
 
 
 
 Additional Annual Leave Days on the 1st year🎉:
 
 7.5 additional leave days, effective start date in NMQ empowers our employees to balance their work and personal lives seamlessly.
 
 
 
 Mental Health &amp; Support💆🏻 &female;️:
 
 Free company subscription to our mental health &amp; support partner
 
 &lsquo;&rsquo;Openup&rsquo;&rsquo;.
 
 
 
 
 Referral Program👫🏻:
 
 Our referral program
 
 &lsquo;&rsquo;Friends2Work&rsquo;&rsquo;
 
 encourages our employees to refer their friends followed by a cash award once they are hired.
 
 
 
 Self-Improvement
 
 💪🏻: Access to numerous online courses and training in our own in-house training platform
 
 NMQ Academy
 
 &amp; access to our exclusive
 
 Mentorship Program
 
 provided by our brilliant senior peers.
 
 
 
 Team Environment👑:
 
 We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story!
 
 
 
 
 
 If you are interested in joining our team, please apply with your CV.
 
 
 
 
 
 
 By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at www.nmqdigital.com
 
 
 
 
 
 
 NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
 
 
 
 
 
 Don't be discouraged if you feel that you don&rsquo;t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ!
 
 
 
 
 
 Should your application be successful, a member of our Talent Acquisition team will make contact with you shortly. If, however, you are not contacted regarding the position you applied for within 30 days, please consider that your application has not been successful for that role.
 
 
 
</div>

Senior Data Engineer

Talan

<div>
 
 
 Talan &ndash; Positive Innovation
 
 
 
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
 
 
 
 Talan at a Glance
 
 
 
 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
 
 
 
 Our Core Areas of Expertise
 
 
 
 
 <ul>
 <li>
 
 Data &amp; Technologies:
 
 We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
 
 
 
 </li>
 <li>
 
 
 Cloud &amp; Application Services:
 
 We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
 
 
 
 </li>
 <li>
 
 
 Management &amp; Innovation Consulting:
 
 We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
 
 
 
 
 
 
 </li>
 </ul>
 
 We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
 
 
 
 
 Job Description
 
 
 
 
 As a
 
 Backend Spark developer
 
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
 
 
 We need somebody like you to help us in different fronts:
 
 
 
 <ul>
 <li>
 You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
 </li>
 <li>
 You will use Scrum methodology, and be part of a high performance team
 </li>
 <li>
 You will document your solutions in the tools: JIRA, Confluence, ALM
 </li>
 <li>
 You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
 </li>
 <li>
 You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
 </li>
 <li>
 You will collaborate with cross-functional and cross-country teams to integrate data from various sources
 </li>
 <li>
 You will develop and maintain data hub and data pipelines in microservices architecture
 </li>
 <li>
 You will collaborate with other developers to maintain and improve CI/CD pipelines
 
 
 
 </li>
 </ul>
 
 
 
 WHAT WE ARE LOOKING FOR
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or a related field.
 </li>
 <li>
 1+ years of experience in data/software engineering (preferable in banking)
 </li>
 <li>
 Experience with Integration Solutions (using API and Microservices)
 </li>
 <li>
 Programming backend applications with BigData technologies(
 
 Apache Spark
 
 )
 </li>
 <li>
 Agile approach for software development
 </li>
 <li>
 Continuous Integration (Git, GitHub)
 </li>
 <li>
 Knowledge of SQL databases
 </li>
 <li>
 English (at least B2+)
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Preferred qualifications
 
 
 
 
 <ul>
 <li>
 Git hub actions
 </li>
 <li>
 Scala or Python
 </li>
 <li>
 Bash scripting
 </li>
 <li>
 ControlM, AirFlow
 </li>
 <li>
 Software development life cycle (HP ALM,..)
 </li>
 <li>
 Basics of cybersecurity &amp; Quality (sonar&hellip;)
 </li>
 <li>
 Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
 </li>
 <li>
 SOA Architecture
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What do we offer you?
 
 
 
 
 <ul>
 <li>
 Full-time contract.
 </li>
 <li>
 Smart Office Pack so that you can work comfortably from home.
 </li>
 <li>
 Training and career development.
 </li>
 <li>
 Benefits and perks such as
 
 private medical insurance
 
 , life insurance.
 </li>
 <li>
 Possibility to be part of a multicultural team and work on international projects.
 </li>
 <li>
 
 This is a hybrid position based in Warsaw, Poland. Relocation is mandatory.
 
 </li>
 <li>
 Possibility to manage work-permits.
 
 
 
 </li>
 </ul>
 
 If you are passionate about development &amp; tech, we want to meet you!
 
 
 
 
 
 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
 
 
 
</div>

Junior Data Engineer  (Relocation to Poland)

Concentrix

<div><div><div>Information Technology
</div><div><div><div>Location</div>
<div>İstanbul, T&uuml;rkiye
</div></div><div><div>Language</div>
<div>English
</div></div></div><div></div><div><div>
</div><h2 class="jobSectionHeader">Summary</h2><div>
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world&rsquo;s best brands, today and into the future. We&rsquo;re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we&rsquo;re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Catalyst team is the driving force behind Concentrix&rsquo;s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we&rsquo;re proud to be recognized with awards such as &quot;World's Best Workplaces,&quot; &ldquo;Best Companies for Career Growth,&rdquo; and &ldquo;Best Company Culture,&rdquo; year after year. Join us and be part of this journey towards greater opportunities and brighter futures.</div><h2 class="jobSectionHeader">
Description</h2><div>
We&rsquo;re seeking a senior Cloud Solution Architect (CSA) with deep expertise in SQL, Azure SQL and Power BI. In this customer-facing role, you&rsquo;ll lead strategic technical engagements, advise IT and business leaders, and shape cloud strategies that drive innovation and business value. You&rsquo;ll guide customers through architecture design, deployment, and operational excellence&mdash;helping them scale AI solutions and modernize their data ecosystems on Microsoft Azure.</div>
Responsibilities:<ul><li>
Build trusted relationships with IT and business leaders to shape their cloud data strategy, emphasizing SQL-based analytics and reporting.</li><li>
Lead architectural design sessions to implement secure, scalable data solutions using Azure SQL Database, Azure Synapse, and Power BI.</li><li>
Design and deploy end-to-end data architectures that integrate structured and unstructured data sources using Azure SQL and Microsoft Fabric.</li><li>
Develop enterprise-grade dashboards and reports in Power BI, enabling data-driven decision-making across business units.</li><li>
Implement data governance frameworks with Azure Purview, ensuring proper cataloging, lineage, and classification of SQL-based assets.</li><li>
Guide customers in optimizing SQL workloads and integrating Power BI with Azure SQL for real-time analytics and visualization.</li><li>
Lead technical workshops and proof-of-concepts focused on SQL performance tuning, Power BI modeling, and Azure data services.</li><li>
Provide strategic guidance on data modernization, including migration from legacy SQL systems to Azure SQL and Synapse.</li><li>
Resolve technical blockers related to SQL query optimization, Power BI integration, and Azure resource configuration.</li><li>
Inspire innovation by helping customers leverage SQL and Power BI to unlock insights and accelerate their cloud transformation.</li></ul>
 Qualifications:<ul><li>
10+ years of experience in data engineering, analytics, or cloud solution delivery with a strong SQL foundation.</li><li>
Deep expertise in Azure SQL Database, Power BI, and Azure Synapse Analytics.</li><li>
Proficient in writing complex SQL queries, optimizing performance, and designing relational data models.</li><li>
Demonstrated success in building scalable Power BI solutions integrated with Azure SQL and other cloud data sources.</li><li>
Experience with ELT/ETL pipelines, data lake architecture, and real-time analytics using SQL-based tools.</li><li>
Familiarity with Azure Purview, Microsoft Fabric, and Databricks is a plus.</li><li>
Excellent communication and stakeholder engagement skills across technical and business audiences.</li><li>
Microsoft Certified: Azure Data Engineer Associate or equivalent certifications preferred.</li><li>
Fluent in English and Turkish.</li></ul></div></div></div>

SQL/Azure SQL Solutions, Cloud Solution Architect

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

Garanti BBVA Teknoloji

<div>
 
 
 If you have passion for technology as we do and want to be part of a great team which leads innovation in Fintech, join us.
 
 
 
 
 
 
 
 Who We Are?
 
 
 
 
 We Create World Class Financial IT Services
 
 
 
 We are a leading technology company which provides technology infrastructure, software development, big data and data analytics, internet applications, integration, system management, security management, project management and enterprise applications services to Garanti BBVA branded institutions.
 
 
 We are an agile team, developing revolutionary and innovative products. We develop emerging financial technologies and end-to-end high-tech solutions with our expert development teams.
 
 #teknolojidekitutkuyuke&scedil;fet
 
 
 
 
 
 
 
 Many reasons which will make you say I love working at Garanti BBVA Technology
 
 
 
 We have a passion for technology, we think big and we continuously explore and seek improvement, we trust the power of empowerment. We are an academy for talents. Thus, we are &ldquo;one team&rdquo; and we always achieve together.
 
 
 The place we call &ldquo;our office&rdquo; has no boundaries. We stand for a positive team culture, shared and lived together anywhere.
 
 
 
 
 
 
 So, what awaits you Garanti BBVA Technology?
 
 
 <ul>
 <li>
 Flexible working hours,
 </li>
 <li>
 A buddy who will guide and accompany you during your onboarding process,
 </li>
 <li>
 Career development opportunities on a well-defined career path,
 </li>
 <li>
 Local and global career opportunities,
 </li>
 <li>
 A great number of online courses and technical trainings (Kamp&uuml;s Garanti BBVA, Coursera, Linkedin etc.) that will support you throughout your development,
 </li>
 <li>
 A personalized development plan for you,
 </li>
 <li>
 Birthday off day,
 </li>
 <li>
 Private health and life insurance,
 </li>
 <li>
 Practice classes in English and Spanish,
 </li>
 <li>
 Discount on master programs,
 </li>
 <li>
 Online well-being program,
 </li>
 <li>
 Sabbatical leave granted for every seven years at Garanti BBVA Technology.
 </li>
 <li>
 In addition to all these, we also meet our teammates in person in regular intervals or whenever we miss each other ❤ either in our &Idot;stanbul, Ankara or Izmir offices, which are full of social opportunities and sportive activities.
 </li>
 </ul>
 
 
 
 
 
 Your Impact
 
 
 
 
 The AI Engineering team in AI Factory Unit
 
 works passionately to shape the technologies of the future.
 
 
 They value being a team, learning from each other and producing together. Since they are excellent teammates, they are proficient in positive interpersonal communication, taking responsibility and valuing different ideas.
 
 
 They are creative and productive. Their business is based on innovation and is only limited by their dreams. Now they are looking for new teammates with whom they will achieve together.
 
 
 In that team;
 
 <ul>
 <li>
 Create, develop and maintain machine learning, deep learning and Large Language Models infrastructure &amp; lifecycles, integrate to banking processes
 </li>
 <li>
 Design and build bank's big data architecture and develop analytical datamarts
 </li>
 <li>
 Design and improve end to end advance analytical services using powerful techologies, meet customer expectations in analytical area
 </li>
 <li>
 Act as data developer and take responsibility in selforganized agile teams
 </li>
 </ul>
 
 
 
 
 
 How do we describe the perfect match?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering
 </li>
 <li>
 Minimum 4 years of professional experience in data and / or software engineering
 </li>
 <li>
 Experience with ETL development, ODI is a plus
 </li>
 <li>
 Experience with common Apache Projects (Hadoop, Kafka, HIVE, Nifi etc)
 </li>
 <li>
 Experience with Apache Spark, Scala is plus
 </li>
 <li>
 Experience with Java, Python is a plus
 </li>
 <li>
 Experience with analytical model scoring, deployment, management and monitoring is a plus.
 </li>
 <li>
 Experience with MLOps approach is a plus
 </li>
 <li>
 Experience with and GEN AI infrastructure and model lifescyle management of LLM&rsquo;s is plus
 </li>
 <li>
 Familiarity with NoSQL databases (Hbase,Elastic ,Couchbase etc) is a plus
 </li>
 <li>
 Familiarity with microservices, (Kubernetes, Openshift) is a plus
 </li>
 <li>
 A passion for maintaining high quality and following standards for processes and software
 </li>
 <li>
 Being passionate about experiencing and implementing data technologies
 </li>
 <li>
 ETL infrastructure know how (automation, knowledge module experience, groovy etc.) is a plus
 </li>
 <li>
 Data Visiualization experience is a plus.
 </li>
 </ul>
 
 
 📢 If you would like to get to know more about Garanti BBVA Technology, please follow us on Instagram, LinkedIn, Medium and our Company Website;
 
 
 
 
 https://www.garantibbvateknoloji.com.tr/
 
 
 
 
 https://www.instagram.com/garantibbvateknoloji/
 
 
 
 
 https://www.linkedin.com/company/garanti-teknoloji/
 
 
 
 
 https://medium.com/@GarantiBBVATeknoloji
 
 
 
 
 
 
 &Ccedil;e&scedil;itlilik yakla&scedil;&inodot;m&inodot;m&inodot;z
 
 
 
 &Ccedil;e&scedil;itlili&gbreve;in g&uuml;c&uuml;ne inanan ve herkesin i&scedil;e katk&inodot;s&inodot;n&inodot; &ouml;nemseyen uluslararas&inodot; yakla&scedil;&inodot;mlar&inodot; dikkate al&inodot;yor, kapsay&inodot;c&inodot;l&inodot;&gbreve;&inodot;n i&scedil;imizin geli&scedil;mesine farkl&inodot; a&ccedil;&inodot;lardan katk&inodot; sa&gbreve;lad&inodot;&gbreve;&inodot;na inan&inodot;yoruz. &Ccedil;e&scedil;itlili&gbreve;in temsil edildi&gbreve;i kurulu&scedil;lar ba&scedil;ar&inodot;lar&inodot;n&inodot; art&inodot;r&inodot;rken, ki&scedil;ilerin kendilerine de&gbreve;er verildi&gbreve;ini hissetti&gbreve;i i&scedil; ortamlar&inodot;nda &ccedil;al&inodot;&scedil;an ba&gbreve;l&inodot;l&inodot;&gbreve;&inodot; ve verimlili&gbreve;inde daha olumlu sonu&ccedil;lar elde edildi&gbreve;ini g&ouml;r&uuml;yoruz. E&scedil;it istihdam sa&gbreve;lamay&inodot; g&ouml;rev edinen bir kurum olarak &ccedil;e&scedil;itlili&gbreve;i destekliyoruz.
 
 
 
 
 &Ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n mesleki ve ki&scedil;isel geli&scedil;imine f&inodot;rsat sunan, kendilerini en iyi &scedil;ekilde g&ouml;stermelerini sa&gbreve;layan, geli&scedil;imlerine odaklanan i&scedil;birlik&ccedil;i ve kapsay&inodot;c&inodot; bir &ccedil;al&inodot;&scedil;ma ortam&inodot; yaratmak i&ccedil;in yeni ad&inodot;mlar atmaya devam ediyoruz.
 
 
 
 
</div>

AI Factory / Machine Learning Engineer

PlusMinusOne

<div>
 
 PlusMinusOne is a&nbsp;
 
 mobile startup studio
 
 &nbsp;that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach&nbsp;
 
 more than a half-million&nbsp;new users every month in the US market alone.
 
 &nbsp;Our team works in hybrid model with&nbsp;offices in&nbsp;San Francisco, Istanbul and Ankara.
 
 
 
 
 
 We have been building mobile products focused on Business, Photo &amp; Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories,
 
 our goal is the same:&nbsp;provide actual value to people with the best mobile user experience.
 
 
 
 
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
 
 
 
 
 
 
 
 What we are looking for:
 
 
 <ul>
 <li>
 Degree in STEM or equivalent practical experience
 </li>
 <li>
 2+ years of work experience as a
 
 full-stack
 
 data scientist or analyst covering problem identification, raw data ingestion &amp; pipelining, predictive analytics, reporting &amp; communicating the insights
 </li>
 <li>
 Advanced proficiency in Python/PySpark, SQL, and Git
 </li>
 <li>
 Solid understanding of time series forecasting and classification models
 </li>
 <li>
 Experience with orchestration and BI tools
 </li>
 <li>
 User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
 </li>
 <li>
 Hands-on experience deploying ML models in production environments (strong plus)
 </li>
 <li>
 Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
 </li>
 <li>
 Background in mobile app or consumer product analytics (strong plus)
 </li>
 <li>
 Appreciation of team spirit
 </li>
 <li>
 Bias for action and ownership mentality
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Your responsibilities will be:
 
 
 <ul>
 <li>
 Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
 </li>
 <li>
 Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
 </li>
 <li>
 Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
 </li>
 <li>
 Collaborate with product and engineering teams to translate analytical insights into actionable features
 </li>
 <li>
 Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
 </li>
 <li>
 Launch A/B tests at scale and provide actionable insights to relevant teams
 </li>
 <li>
 Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Opportunity to make an impact on millions of global users' life and the future of mobile
 </li>
 <li>
 Chance to be a part of a passionate and driven team where everyone&rsquo;s ideas are valued
 </li>
 <li>
 Working in an environment with a Silicon Valley startup culture and benefits
 </li>
 <li>
 A hybrid work environment with 3 days a week at the Kabata&scedil; Istanbul office
 </li>
 <li>
 14 days of paid vacation that starts from the first year of joining the team
 </li>
 <li>
 Quarterly profit sharing based on performance
 </li>
 <li>
 Ability to own a stock option after the first year
 </li>
 <li>
 Private health insurance package
 </li>
 <li>
 Reimbursement package for any education, course, etc.
 </li>
 <li>
 Reimbursement package for your sports activities
 </li>
 <li>
 A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Let's shape the future of mobile together!
 
 
</div>

Data Scientist

Explore 629+ Data engineer in Istanbul Turkey this January. Find roles across top companies and apply now to boost your career.