business analyst

data scientist

data analyst

data engineer

ai engineer

big data engineer

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><div>
Big Data Engineer at Vodafone Turkey<br>
<br>
<ul><li>We are looking for a Big Data Engineer with experience in designing, building and managing applications to process large amounts of data in a Hadoop/ Spark ecosystem. You&rsquo;ll provide expert guidance to source and integrate structured and unstructured data from dozens of local data sources including streaming data feeds into our data lake.</li><li>As a Big Data Engineer, you will work closely with the team and our stakeholders to build and deliver our Hadoop based solutions for a next generation Big Data analytics platform.
</li><li>Working with our Data Scientists to help drive the company strategy and marketing campaigns to our customers will be one of the responsibility of you.</li><li>At Vodafone, we don&rsquo;t just produce creative products, we develop amazing people too. We are driven to empower people. We are committed to helping our people perform at their best and achieve their full potential.
</li></ul><br>
Key accountabilities<br>
<ul><li>You&rsquo;ll be designing and producing high performing and stable applications to perform complex processing of petabyte scale data in a Hadoop based environment.</li><li>Working alongside Data Scientists to build end-to-end applications that make use of large volumes of source data from the operational systems and output insights back to business systems
</li><li>Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making</li><li>Sourcing, ingesting, wrangling and validating data sets, building pipelines to transform data and produce analytical records for machine learning</li><li>You&rsquo;ll have extensive experience with performance tuning applications on Hadoop and configuring Hadoop based systems to maximise performance.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
</div><div><div>
Qualifications<br>
<br>
<ul><li>BS degree or higher in a technology related field (e.g. Computer Science, Math, Information Systems, Industrial Engineering or another quantitative field)</li><li>Minimum 5 year experience in designing, building and managing applications to process large amounts of data in a (Cloudera) Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn, Oozie)</li><li>Strong software development experience in Python(preferred), Java or Scala programming languages (other programming languages desirable);</li><li>Experience in DevDataOps and CICD pipelines. And compliance of the coding standards.
</li><li>Experience in designing, building and managing applications to process large amounts of data in a Hadoop ecosystem</li><li>Experience building systems to perform real-time data processing using Spark Streaming, Nifi, Flink and Kafka, or similar technologies</li><li>Experience with Linux systems, including bash programming</li><li>Experience with other distributed NoSQL databases such as HBASE, Cassandra, Solr/Elastic Search is a plus</li><li>Experience with data pipeline and workflow management tools (Apache Airflow, etc.).</li><li>Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making
</li><li>Experience with ML and Deep Learning is a plus</li><li>Experience with development of Cloud Native and Micro Service applications is a plus</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

Big Data & AI Engineer

VodafoneThree

<div></div><div><div><div><div><div>&#304;stanbul, Istanbul, T&uuml;rkiye</div></div></div></div><div></div><div><div><div><div><div><b><br>
</b></div></div></div></div></div><div><div><div><div><div><div><div><div><b>
Job description</b></div></div></div></div></div><div></div><div><div><div><div><div>
Requisition ID</div><div><b>
267663</b></div></div><div><div>
Date posted</div><div><b>
08/08/2025</b></div></div></div><div><div><div><div><div><div><b>
Join Us</b></div>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><div><b>
What you&rsquo;ll do</b></div>
</div><div><div>
Big Data Engineer at Vodafone Turkey<br>
<br>
<ul><li>We are looking for a Big Data Engineer with experience in designing, building and managing applications to process large amounts of data in a Hadoop/ Spark ecosystem. You&rsquo;ll provide expert guidance to source and integrate structured and unstructured data from dozens of local data sources including streaming data feeds into our data lake.</li><li>As a Big Data Engineer, you will work closely with the team and our stakeholders to build and deliver our Hadoop based solutions for a next generation Big Data analytics platform.
</li><li>Working with our Data Scientists to help drive the company strategy and marketing campaigns to our customers will be one of the responsibility of you.</li><li>At Vodafone, we don&rsquo;t just produce creative products, we develop amazing people too. We are driven to empower people. We are committed to helping our people perform at their best and achieve their full potential.
</li></ul><br>
Key accountabilities<br>
<ul><li>You&rsquo;ll be designing and producing high performing and stable applications to perform complex processing of petabyte scale data in a Hadoop based environment.</li><li>Working alongside Data Scientists to build end-to-end applications that make use of large volumes of source data from the operational systems and output insights back to business systems
</li><li>Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making</li><li>Sourcing, ingesting, wrangling and validating data sets, building pipelines to transform data and produce analytical records for machine learning</li><li>You&rsquo;ll have extensive experience with performance tuning applications on Hadoop and configuring Hadoop based systems to maximise performance.</li></ul></div></div></div><div><div><div><b>
Who you are</b></div>
</div><div><div>
Qualifications<br>
<br>
<ul><li>BS degree or higher in a technology related field (e.g. Computer Science, Math, Information Systems, Industrial Engineering or another quantitative field)</li><li>Minimum 5 year experience in designing, building and managing applications to process large amounts of data in a (Cloudera) Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn, Oozie)</li><li>Strong software development experience in Python(preferred), Java or Scala programming languages (other programming languages desirable);</li><li>Experience in DevDataOps and CICD pipelines. And compliance of the coding standards.
</li><li>Experience in designing, building and managing applications to process large amounts of data in a Hadoop ecosystem</li><li>Experience building systems to perform real-time data processing using Spark Streaming, Nifi, Flink and Kafka, or similar technologies</li><li>Experience with Linux systems, including bash programming</li><li>Experience with other distributed NoSQL databases such as HBASE, Cassandra, Solr/Elastic Search is a plus</li><li>Experience with data pipeline and workflow management tools (Apache Airflow, etc.).</li><li>Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making
</li><li>Experience with ML and Deep Learning is a plus</li><li>Experience with development of Cloud Native and Micro Service applications is a plus</li></ul></div></div></div><div><div><div><b>
Not a perfect fit?</b></div>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><div><b>
Who we are</b></div>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div></div></div><div><div><b>
Insights from previous hires</b></div><div><div><div><b>
Top skills</b></div><div><div><div><b>
Coding</b></div></div><div><div><b>
Software Development</b></div></div><div><div><b>
Java</b></div></div></div></div><div><div><b>
Previously worked as</b></div><div><div>
1. Data Engineer</div><div>
2. Technical Lead</div><div>
3. Senior Software Engineer</div><div>
4. Senior Data Scientist</div><div>
5. Senior Data Engineer</div></div></div></div></div></div></div></div></div></div>

Volt Lines

<div>
 <strong>
  Join us and be a part of shaping the future of urban mobility!
  <br/>
  <br/>
 </strong>
 Some complain about traffic but some are actually doing something about it. Join us on our mission to reduce traffic in Istanbul by increasing the accessibility of sustainable shared mobility.
 <br/>
 <br/>
 <strong>
  Who are we?
  <br/>
  <br/>
 </strong>
 Volt Lines is the only technology-enabled player in the Turkish market competing against legacy incumbents and it reduces emissions and traffic by turning premium 16-seater buses into a viable alternative to single occupancy vehicles.
 <br/>
 <br/>
 <strong>
  What we do?
  <br/>
  <br/>
 </strong>
 In Istanbul, over 50,000 buses operate at 31% efficiency. These buses, which contribute to the city's traffic with empty seats, could also be the solution to its problem. Volt Lines is the only shuttle service provider that has both
 <strong>
  software
 </strong>
 as well as a
 <strong>
  transport
 </strong>
 service. This allows for optimal harmonization of the software and operation resulting in the creation of great experiences and services. Notable examples of these innovative services include DRT and Marketplace. DRT (short for Demand-Responsive Transport) was covered by
 <strong>
  a Harvard Business School case study
 </strong>
 that is being taught at the MBA school. Marketplace on the other hand allows companies to sell empty seats on their buses to neighboring passengers who are going in the same direction at the same time.
 <br/>
 <br/>
 <strong>
  Let's work together to shape the future of mobility.
  <br/>
  <br/>
 </strong>
 We're looking for a Data Engineer to join us in shaping the future of urban transportation using the latest technologies.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with the data team on research and development of our project
  </li>
  <li>
   Design, develop, and maintain scalable and efficient data pipelines for processing, transforming, and storing large volumes of data
  </li>
  <li>
   Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions
  </li>
  <li>
   Implement and maintain ETL processes to ensure the accuracy and reliability of our data
  </li>
  <li>
   Identify and resolve performance bottlenecks, data quality issues, and other challenges in the data infrastructure
  </li>
  <li>
   Stay up-to-date with emerging trends and technologies in data engineering and contribute to the continuous improvement of our data architecture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  </li>
  <li>
   Proven experience as a Data Engineer or similar role
  </li>
  <li>
   Strong proficiency in SQL and one or more programming languages (e.g., Python, Java, Scala)
  </li>
  <li>
   Experience with big data technologies such as Spark, Hadoop, or similar
  </li>
  <li>
   Solid understanding of data modeling, database design, and data warehousing concepts
  </li>
  <li>
   Experience with real-time data processing and streaming technologies
  </li>
  <li>
   Knowledge of data governance and security best practices
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  </li>
  <li>
   Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
  </li>
  <li>
   Excellent problem-solving and communication skills
  </li>
  <li>
   Ability to work collaboratively in a team and independently when required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovative Environment: Volt Lines operates in a fast-growing, innovative industry, offering opportunities to work on impactful projects with cutting-edge technology
  </li>
  <li>
   Career Growth: Volt Lines is committed to employee development, offering opportunities for career progression, training, and skill enhancement
  </li>
  <li>
   Work-Life Balance: Volt Lines offers flexible working hours as well as a flexible paid time-off policy that promotes a healthy work-life balance
  </li>
  <li>
   Startup Culture: Volt Lines embodies a startup environment that promotes creativity, autonomy, and innovation, providing employees with the freedom to take initiative and make decisions
  </li>
  <li>
   Inclusive Work Culture: Volt Lines values different perspectives, backgrounds, and experiences, and fosters an inclusive workplace where everyone can thrive
  </li>
  <li>
   Impact on Urban Mobility: Volt Lines focuses on revolutionizing urban transportation and sustainability, giving employees a chance to contribute to a purpose-driven mission
  </li>
  <li>
   Compensation and Benefits: Volt Lines offers its employees a best-in-class equity program (RSUs), the chance to earn up to 20 salaries in a year, private health insurance, food and transportation allowances, among other perks
  </li>
 </ul>
</div>


Data Engineer

<div><p><b>Join us and be a part of shaping the future of urban mobility!</b></p><p>
Some complain about traffic but some are actually doing something about it. Join us on our mission to reduce traffic in Istanbul by increasing the accessibility of sustainable shared mobility.</p><p></p><p><b>
Who are we?</b></p><p>
Volt Lines is the only technology-enabled player in the Turkish market competing against legacy incumbents and it reduces emissions and traffic by turning premium 16-seater buses into a viable alternative to single occupancy vehicles.
</p><p></p><p><b>What we do?</b></p><p>
In Istanbul, over 50,000 buses operate at 31% efficiency. These buses, which contribute to the city's traffic with empty seats, could also be the solution to its problem. Volt Lines is the only shuttle service provider that has both<b> software</b> as well as a <b>transport </b>service. This allows for optimal harmonization of the software and operation resulting in the creation of great experiences and services. Notable examples of these innovative services include DRT and Marketplace. DRT (short for Demand-Responsive Transport) was covered by <b>a Harvard Business School case study</b> that is being taught at the MBA school. Marketplace on the other hand allows companies to sell empty seats on their buses to neighboring passengers who are going in the same direction at the same time.</p><p></p><p><b>
Let's work together to shape the future of mobility.</b></p><p>
We're looking for a Data Engineer to join us in shaping the future of urban transportation using the latest technologies.</p><p></p><p><b>
Responsibilities:</b></p><ul>
<li>Work with the data team on research and development of our project.</li>
<li>Design, develop, and maintain scalable and efficient data pipelines for processing, transforming, and storing large volumes of data</li>
<li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions</li>
<li>Implement and maintain ETL processes to ensure the accuracy and reliability of our data</li>
<li>Identify and resolve performance bottlenecks, data quality issues, and other challenges in the data infrastructure</li>
<li>Stay up-to-date with emerging trends and technologies in data engineering and contribute to the continuous improvement of our data architecture</li>
</ul><p></p><p><b>Requirements</b></p><ul>
<li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field</li>
<li>Proven experience as a Data Engineer or similar role</li>
<li>Strong proficiency in SQL and one or more programming languages (e.g., Python, Java, Scala)</li>
<li>Experience with big data technologies such as Spark, Hadoop, or similar</li>
<li>Solid understanding of data modeling, database design, and data warehousing concepts</li>
<li>Experience with real-time data processing and streaming technologies</li>
<li>Knowledge of data governance and security best practices</li>
<li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud</li>
<li>Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)</li>
<li>Excellent problem-solving and communication skills</li>
<li>Ability to work collaboratively in a team and independently when required</li>
</ul><p><b>Benefits</b></p><ul>
<li><b>Innovative Environment</b>: Volt Lines operates in a fast-growing, innovative industry, offering opportunities to work on impactful projects with cutting-edge technology.</li>
<li><b>Career Growth</b>: Volt Lines is committed to employee development, offering opportunities for career progression, training, and skill enhancement.</li>
<li><b>Work-Life Balance</b>: Volt Lines offers flexible working hours as well as a flexible paid time-off policy that promotes a healthy work-life balance.</li>
<li><b>Startup Culture</b>: Volt Lines embodies a startup environment that promotes creativity, autonomy, and innovation, providing employees with the freedom to take initiative and make decisions.</li>
<li><b>Inclusive Work Culture: </b>Volt Lines values different perspectives, backgrounds, and experiences, and fosters an inclusive workplace where everyone can thrive.</li>
<li><b>Impact on Urban Mobility</b>: Volt Lines focuses on revolutionizing urban transportation and sustainability, giving employees a chance to contribute to a purpose-driven mission.</li>
<li><b>Compensation and Benefits</b>: Volt Lines offers its employees a best-in-class equity program (RSUs), the chance to earn up to 20 salaries in a year, private health insurance, food and transportation allowances, among other perks</li></ul></div>

Armut / HomeRun

<div>
 <p>
  Armut / Homerun is a leading local services marketplace with over 700,000 professionals across 4,000 services and has seen over 1000% revenue growth in 5 years. Our purpose is to make it easy to find good quality, trusted providers by using the latest technologies and machine learning algorithms. We serve over 5 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth with the new investment round of 15 Million &euro; and increasing the number of operating countries in the EMEA region.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our strength is rooted in our core values: always putting our customers first, solving problems with data and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Engineering Handbook
 </p>
 <p>
  <br/>
 </p>
 <p>
  Join us on our journey to be the EMEA leader in the local services marketplace!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You will:
  </strong>
 </p>
 <ul>
  <li>
   Design, construct, install, test and maintain highly scalable data management systems.
  </li>
  <li>
   Ensure systems meet business requirements and industry best practices.
  </li>
  <li>
   Collaborate with data scientists and other tech stakeholders for their data pipeline/flow requirements.
  </li>
  <li>
   Work with Product Development, Category, and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
  </li>
  <li>
   Provide maintenance for analytical data stores and query engines.
  </li>
  <li>
   Developing and maintaining modular and reusable ETL processes. This includes monitoring performance and data quality.
  </li>
  <li>
   Providing a functional BI platform and overseeing data access permissions within the BI platform.
  </li>
  <li>
   Integrate new data management technologies and software engineering tools into existing structures.
  </li>
  <li>
   Improve data foundational procedures, guidelines and standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You have:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree from a top school with study in Computer Science, Electrical &amp; Electronics Engineering, Mathematics or related fields.
  </li>
  <li>
   2-3 years of proven experience.
  </li>
  <li>
   Excellent command / highly proficient in spoken and written English.
  </li>
  <li>
   Excellent verbal and written communication skills.
  </li>
  <li>
   Experience with Public Cloud Providers, with an emphasis on data storage and manipulation. Experience within the AWS ecosystem (EC2, S3, EMR, Glue and Lambda) is highly preferable.
  </li>
  <li>
   Programming experience in Python, with an emphasis on writing modular and reusable code.
  </li>
  <li>
   Experience with code based scheduling and orchestration tools (Prefect, Airflow, Dagster)
  </li>
  <li>
   Experience with writing SQL statements that processes analytical datasets, with an emphasis on performance and readability. (Snowflake, Redshift, Trino)
  </li>
  <li>
   Experience in developing and managing containerized applications, understanding of Docker fundamentals and concepts, and deployment and scaling of such applications. (Docker, Kubernetes, AWS ECS, &hellip;)
  </li>
  <li>
   Understanding of DevOps best practices, version control, Infrastructure as Code. (Git, Terraform, AWS CDK, &hellip;)
  </li>
  <li>
   Experience with open-source technologies is also highly preferable. We value the innovative and collaborative nature of the open-source community, and our data tech stack is primarily built using open-source tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <ul>
  <li>
   Cloud: AWS
  </li>
  <li>
   Languages: Python, Scala, SQL
  </li>
  <li>
   Data Warehouse: Snowflake
  </li>
  <li>
   Data transformation: Snowflake, Spark, DBT
  </li>
  <li>
   Orchestrator: Prefect
  </li>
  <li>
   Streaming: Kafka, Flink, Debezium
  </li>
  <li>
   Infra as Code: AWS CDK, Terraform, Github Actions
  </li>
  <li>
   Version control: Git
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary,
  </li>
  <li>
   An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment,
  </li>
  <li>
   Freedom to test, fail and test again in a fast-paced environment,
  </li>
  <li>
   Never-ending growth opportunities supported by learning &amp; development fund,
  </li>
  <li>
   Working environment where your success is not judged by a dress code or working hours,
  </li>
  <li>
   Extra vacation time, flexible working hours and the possibility to work from home,
  </li>
  <li>
   Beach days, theme nights, sports &amp; game events and any other social activity ideas you come up with!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Hiring Process
  </strong>
 </p>
 <ul>
  <li>
   Application: Send us your CV.
  </li>
  <li>
   Interview: Discuss your experience &amp; expectations.
  </li>
  <li>
   Case Presentation : Showcase your skills.
  </li>
  <li>
   Final Interview: Align on mutual goals and values.
  </li>
  <li>
   Welcome Aboard: Join the Homerun team!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Diversity and Inclusion at Homerun
  </strong>
 </p>
 <p>
  We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.
 </p>
</div>


Mindset Institute

<div>
 <p>
  <strong>
   Biz Kimiz?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  T&uuml;rkiye&rsquo;nin &ouml;nde gelen e&gbreve;itim &scedil;irketlerinden biri olarak h&inodot;zl&inodot; b&uuml;y&uuml;yen start-up&rsquo;lardan, kurumsal markalara kadar binlerce kurumsal ve bireysel m&uuml;&scedil;terinin ilk tercihiyiz.
 </p>
 <p>
  Siz de Mindset ailesine kat&inodot;larak geni&scedil; kitlelere ula&scedil;abilir, prestijli kurumlarla i&scedil;birlikleri i&ccedil;inde yer alabilirsiniz. &Ouml;&gbreve;renme konusunda tutkulu kat&inodot;l&inodot;mc&inodot;lar&inodot;n yer ald&inodot;&gbreve;&inodot; a&ccedil;&inodot;k s&inodot;n&inodot;flarda e&gbreve;itim verme &scedil;ans&inodot;n&inodot; yakalayabilirsiniz. Se&ccedil;kin &uuml;niversitelerle yap&inodot;lan i&scedil;birlikleri i&ccedil;erisinde yap&inodot;lan uzun ve k&inodot;sa s&uuml;reli e&gbreve;itimlerde yer alarak ki&scedil;isel markan&inodot;z&inodot; daha da g&uuml;&ccedil;lendirebilirsiniz.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Dinamik kadromuza dahil olacak Data Science E&gbreve;itmeni aramaktay&inodot;z.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Sizden Neler Bekliyoruz
  </strong>
 </p>
 <p>
  E&gbreve;itim mod&uuml;llerini haz&inodot;rlanarak etkin bir &scedil;ekilde sunulmas&inodot;,
 </p>
 <p>
  E&gbreve;itim i&ccedil;eriklerini s&uuml;rekli g&uuml;ncel tutarak geli&scedil;tirilmesi,
 </p>
 <p>
  Kat&inodot;l&inodot;mc&inodot;lara rehberlik edilmesi ve sorular&inodot;n&inodot; yan&inodot;tlayarak &ouml;&gbreve;renme s&uuml;recine destek sa&gbreve;lanmas&inodot;,
 </p>
 <p>
  Geri bildirimlere dayanarak e&gbreve;itim ekibiyle i&scedil; birli&gbreve;i i&ccedil;inde e&gbreve;itimleri iyile&scedil;tirmek ve daha verimli hale getirilmesi,
 </p>
 <p>
  E&gbreve;itim programlar&inodot;n&inodot; dijital platformlar &uuml;zerinden etkili bir &scedil;ekilde y&uuml;r&uuml;t&uuml;lmesi,
 </p>
 <p>
  &Idot;&ccedil; ve d&inodot;&scedil; e&gbreve;itimlerin planlanmas&inodot; ve y&ouml;netilmesine destek olunmas&inodot;,
 </p>
 <p>
  E&gbreve;itimlerin planlama ve uygulama s&uuml;recine liderlik edilmesi,
 </p>
 <p>
  E&gbreve;itim s&uuml;re&ccedil;lerinin haftal&inodot;k ve ayl&inodot;k olarak &uuml;st y&ouml;netime raporlanmas&inodot;,
 </p>
 <p>
  E&gbreve;itim verilen ekipler ile s&uuml;rekli ileti&scedil;im halinde olunmas&inodot;,
 </p>
 <p>
  E&gbreve;itim s&uuml;re&ccedil;lerin iyile&scedil;tirilmesi i&ccedil;in fikir ve &ouml;nerilerde bulunulmas&inodot;,
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Arad&inodot;&gbreve;&inodot;m&inodot;z Genel Nitelikler
  </strong>
 </p>
 <p>
  Programlama (tercihen python), veri tabanlar&inodot;, Big Data &amp; Data Science, derin &ouml;&gbreve;renme konular&inodot;nda deneyime sahip olmak
 </p>
 <p>
  &Idot;yi derecede &Idot;ngilizce bilmek
 </p>
 <p>
  Online e&gbreve;itim de dahil olmak &uuml;zere e&gbreve;itmenlik tecr&uuml;besine sahip olmak
 </p>
 <p>
  G&uuml;&ccedil;l&uuml; ileti&scedil;im becerilerine sahip olmak ve grup dinamiklerini y&ouml;netebilmek
 </p>
 <p>
  &Ouml;&gbreve;retme konusunda tutkulu ve ilham verici bir yakla&scedil;&inodot;m sergileyebilmek
 </p>
 <p>
  Teknoloji ve e&gbreve;itimdeki yenilikleri yak&inodot;ndan takip etmek ve &ouml;&gbreve;renmeye a&ccedil;&inodot;k olmak
 </p>
 <p>
  E&gbreve;itim materyallerini yarat&inodot;c&inodot; ve etkili bir &scedil;ekilde sunabilme becerisi g&ouml;stermek
 </p>
 <p>
  Daha &ouml;nce e&gbreve;itim programlar&inodot;nda e&gbreve;itmen deneyimine sahip olmak
 </p>
 <p>
  Dijital ara&ccedil;lar ve teknolojilerle ilgili yeterlilik sahibi olmak
 </p>
 <p>
  Geri bildirimlere a&ccedil;&inodot;k olmak ve geli&scedil;im odakl&inodot; bir &ccedil;al&inodot;&scedil;ma yakla&scedil;&inodot;m&inodot; benimsemek
 </p>
 <li>
 </li>
 <p>
 </p>
</div>


Data Science Eğitmeni ( Yarı Zamanlı / Tam Zamanlı)

<div></div><div><div><div><div><div>&#304;stanbul, Istanbul, T&uuml;rkiye</div></div></div></div><div></div><div><div><div><div><div><b><br>
</b></div></div></div></div></div><div><div><div><div><div><div><div><div><b>
Job description</b></div></div></div></div></div><div></div><div><div><div><div><div>
Requisition ID</div><div><b>
267660</b></div></div><div><div>
Date posted</div><div><b>
08/08/2025</b></div></div></div><div><div><div><div><div><div><b>
Join Us</b></div>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><div><b>
What you&rsquo;ll do</b></div>
</div><div><div>
MLOps Engineer at Vodafone Turkey<br>
We are seeking an experienced MLOps Engineer to design, build, and maintain scalable machine learning solutions leveraging modern technologies and methodologies. The ideal candidate will play a critical role in operationalizing ML models and supporting advanced initiatives, including Generative AI (GenAI) projects. You will ensure robust infrastructure, seamless pipelines, and high-performing applications in hybrid environments, including local analytic platforms (Cloudera &amp; PracticusAI) and cloud ecosystems.<br>
<br>
Key Accountabilities<br>
<ul><li>End-to-End ML Lifecycle Management: Design, develop, and deploy high-performing, scalable ML models and applications for petabyte-scale data in big data and hybrid cloud environments.</li><li>Generative AI Enablement: Contribute to the development and deployment of GenAI solutions, including LLMs, GANs, and other advanced AI methodologies.</li><li>Agentic AI System Development: Design, build, and deploy agentic AI systems that demonstrate autonomy, tool-use, reasoning, memory, and planning abilities.</li><li>MLOps Pipelines: Develop, maintain, and optimize automated CI/CD pipelines for model deployment, monitoring, and retraining to ensure model reliability and scalability.</li><li>Model Performance Optimization: Fine-tune and monitor models, leveraging MLOps principles to ensure business relevance and technical excellence.</li><li>Collaboration: Partner with data science and engineering teams to integrate ML models into operational workflows, including campaign management systems, mobile apps, and analytics platforms.</li><li>Monitoring and Maintenance: Establish and manage monitoring systems for deployed models, ensuring performance metrics and KPIs are met.</li><li>Data Engineering: Collect, preprocess, and validate large datasets; build and maintain data pipelines for feature engineering and model training.</li><li>Documentation: Create and maintain high-level design (HLD), low-level design (LLD), and other solution documentation for ML applications.</li><li>Research and Innovation: Stay updated on advancements in ML, GenAI, and MLOps tools and techniques to continuously improve solutions.</li></ul></div></div></div><div><div><div><b>
Who you are</b></div>
</div><div><div>
Qualifications<br>
<br>
<ul><li>Bachelor's or higher degree in Computer Science, Mathematics, Engineering, or a related field with strong analytical and computational skills.</li><li>At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.</li><li>Technical Proficiency:</li></ul>
o Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.<br>
o Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
<br>
o Experience integrating with retrieval-augmented generation (RAG) architectures and flash attention, VectorDB(Milvus), CUDA, and GraphDBs (e.g., Neo4j).<br>
o Experience in building multi-agent systems using LangFlow.<br>
o Proficiency in Python, and frameworks such as LangChain, PyTorch, FastAPI, Hugging Face.<br>
o Skilled in capacity planning and designing scalable, efficient infrastructure.
<br>
o Strong programming skills in Python; additional languages are a plus.<br>
o Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.<br>
o Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
<br>
o Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
<br>
o Deep understanding of model evaluation techniques and metrics.<br>
o Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.<br>
o Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.<br>
o Experience with containerization (Docker) and orchestration (Kubernetes).<br>
o Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.<br>
o Proficiency in Linux systems and bash scripting<br>
o Experience with deep learning, and NLP techniques are plus.<br>
o Experience with Big Data technologies such as Hadoop, Spark, Solr/Elastic Search, Nifi is a plus.<br>
<br>
<ul><li>Solid understanding of data pipelines, data wrangling, and feature engineering for ML models.</li><li>Strong problem-solving abilities, attention to detail, and a collaborative mindset.</li><li>Experience working in agile teams and delivering results in fast-paced environments.</li><li>Knowledge of privacy, cybersecurity and model interpretability for AI governance</li></ul></div></div></div><div><div><div><b>
Not a perfect fit?</b></div>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><div><b>
Who we are</b></div>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div></div></div><div><div><b>
Insights from previous hires</b></div><div><div><div><b>
Top skills</b></div><div><div><div><b>
CCNP</b></div></div><div><div><b>
CCNA</b></div></div><div><div><b>
Security</b></div></div></div></div><div><div><b>
Previously worked as</b></div><div><div>
1. Engineer</div><div>
2. Graduate Engineer Trainee</div><div>
3. Network Engineer</div><div>
4. Support Engineer</div><div>
5. Senior System Engineer</div></div></div></div></div></div></div></div></div></div>

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Data Science Eğitmeni ( Yarı Zamanlı / Tam Zamanlı)

Machine Learning Operations Engineer