business analyst

data scientist

data analyst

data engineer

ai engineer

analytics engineer

OLIMP

<p>OLIMP is revolutionizing freight transportation in the USA with a mission to move goods with unlimited capacity and zero losses. As an on-demand logistics solution, we are committed to serving our customers, generating new revenue for warehouses, and creating a more efficient and environmentally friendly supply chain. We are a fast-growing team looking for passionate individuals to help build the data foundation of our future.</p><p><b>Job Overview:</b></p><p>We are seeking a versatile and proactive Analytics Engineer to join our team. This critical role bridges data engineering and business analytics, responsible for transforming raw data into reliable, accessible insights. You will build and manage the data pipelines and models that power our analytics and then use that data to create the reports and dashboards that drive strategic decisions. The ideal candidate is a problem-solver who is comfortable in both the technical details of data infrastructure (Salesforce, AWS, PostgreSQL, Terraform) and the business application of data analysis.</p><p><b>Key Responsibilities:</b></p><p><b>Data Modeling &amp; Engineering:</b></p><ul><li>Design, build, and maintain scalable and reliable ELT data pipelines, moving data from sources like Salesforce into our PostgreSQL data warehouse.</li><li>Develop and manage curated data models, transforming raw source data into clean, analysis-ready datasets optimized for business intelligence.</li><li>Utilize Terraform to manage and provision our data infrastructure as code (IaC), ensuring our systems are consistent and repeatable.</li><li>Implement and oversee data quality checks and monitoring to ensure the accuracy and integrity of our data assets.</li></ul><p><b>Analytics &amp; Business Intelligence:</b></p><ul><li>Partner with sales, marketing, and operations teams to translate business questions into KPIs, metrics, and analytical projects.</li><li>Develop, own, and maintain key business dashboards and reports using our BI tools to track performance and provide actionable insights.</li><li>Conduct ad-hoc analysis to identify trends, patterns, and opportunities for improving business efficiency and effectiveness.</li><li>Communicate findings clearly and concisely to both technical and non-technical stakeholders.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in a quantitative field like Computer Science, Engineering, Statistics, or a related discipline.</li><li>3+ years of experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Engineer.</li><li>Strong proficiency in SQL for complex querying, data manipulation, and modeling.</li><li>Hands-on experience building reports and dashboards in a BI tool (e.g., Tableau, Looker, Power BI, Metabase).</li><li>Proven experience building or maintaining data pipelines (ETL/ELT processes).</li><li>Experience working with data from CRMs like Salesforce.</li><li>Strong analytical and problem-solving skills with high attention to detail.</li><li>English language proficiency.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with cloud data services on AWS (S3, Glue, Lambda).</li><li>Experience with infrastructure-as-code tools like Terraform.</li><li>Proficiency in a scripting language, preferably Python, for data analysis or automation.</li><li>Salesforce certifications or deep knowledge of the Salesforce data model.</li></ul><p><b>Please read the job description carefully and send your resume in English.</b></p><p>Job Type: Full-time</p><p>Pay: 30,000.00TRY - 37,000.00TRY per month</p>

Analytics Engineer - REMOTE

Otobid

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Collaborate with Product, Technical and Business teams to design and implement the necessary data structures to enable reporting of defined business KPIs.
  </li>
  <li>
   Employ a data-driven approach, ensuring that multiple data sources match in terms of quality and reporting is of a high standard
  </li>
  <li>
   Design, develop, and optimize complex ETL processes for a large-scale Data Warehouse using Vertica as the primary database platform.
  </li>
  <li>
   Ensure to data modeling and normalization principles to maintain data integrity and scalability of DWH environment.
  </li>
  <li>
   Build and automate DWH-ETL pipelines across the Data Warehouse on ETL-scheduling tool.
  </li>
  <li>
   Implement optimized query structures and table formats in order to enhance data querying efficiency and improve overall system performance.
  </li>
  <li>
   Build and enhance existing DWH models in order to enhance performance of queries triggered by BI Visualisation platform.
  </li>
  <li>
   Collaborate with DWH/BI analysts to understand reporting requirements across the business domains.
  </li>
  <li>
   Develop DWH pipelines regarding reporting requirements and system efficiency constraints.
  </li>
  <li>
   Collaborate with Data Architecture and infrastructure teams to optimize DWH pipelines deployment and monitoring on Vertica Analytics Platform.
  </li>
  <li>
   Support data analytics teams by providing optimized datasets and ensuring efficient ETL workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <ul>
  <li>
   BSc degree in Computer Science, Mathematical Engineering, Statistics, Industrial Engineering, Information Systems, Mathematics, or a related field
  </li>
  <li>
   Minimum 4 years of experience as a Data Warehouse Developer
  </li>
  <li>
   Strong experience with SQL development, including query optimization, indexing strategies, and performance improvements
  </li>
  <li>
   Strong proficiency in writing complex SQL queries, indexing strategies, stored procedures, and functions in Vertica
  </li>
  <li>
   Hands-on experience in building ETL/ELT pipelines and working with modern ETL tools
  </li>
  <li>
   Familiarity with the terms like; Conversion Funnel, A/B or Split Testing, Customer Insights
  </li>
  <li>
   Domain knowledge in similar businesses or e-commerce is a huge plus.
  </li>
  <li>
   Strong communication skills, with the ability to collaborate effectively with cross-functional teams and business stakeholders.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Expertise in managing and optimizing Vertica
  </li>
  <li>
   Familiarity with version control systems like Git.
  </li>
 </ul>
 <p>
 </p>
</div>


Analytics Engineer

Argela Technologies

<div>
 <p>
  Argela&rsquo;s mission isn&rsquo;t simply to provide solutions for the present; it&rsquo;s to generate innovative technologies for the future of communication. We do this through applying our extensive telecom experience to a rigorous, dynamic research and development process. Our goal is to continue our standing as a leader in the information technologies through focusing on actual market needs like Network &amp; Customer Analytics, Subscriber &amp; Service Analytics, Deep Packet Inspection Solutions, Secure Network Infrastructures, software-defined networking (SDN) with network functions virtualization (NFV).
 </p>
 <p>
  <br/>
 </p>
 <p>
  To reach our goal, we are looking for the best talent within the scope of the job description below;
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <ul>
  <li>
   Appointed as an R&amp;D Engineer for IN &amp; EIR Projects and SIP VoLTE transformations of IN projects in the Network Applications CC.
  </li>
  <li>
   Design, develop, and test in IN and EIR projects.
  </li>
  <li>
   Provide support to the Test Deployment Support team when necessary for field issues, and resolve software problems if they arise.
  </li>
  <li>
   Ensure the creation of necessary documentation in accordance with processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Minimum 3-4 years of experience in related role
  </li>
  <li>
   Good programming skills in Java
  </li>
  <li>
   Telecommunication related project implementation experience with SpringBoot / JEE Application server, ie Weblogic
  </li>
  <li>
   Real Time Application Development experience is a big plus
  </li>
  <li>
   Experience in ORM technologies such as Hibernate and/or Eclipselink and data caching
  </li>
  <li>
   Experience with relational databases, NoSQL DBs, data modeling and SQL optimization
  </li>
  <li>
   Experience with Kafka, Redis and Micro Service Architecture is a big plus
  </li>
  <li>
   Understanding of Object Oriented Programming and design patterns
  </li>
  <li>
   Comfortable with software versioning and CI/CD tools (Git, Cvs, Ant, Maven, Jenkins etc.)
  </li>
  <li>
   Strong Linux system administration knowledge
  </li>
  <li>
   Excellent analytic and problem solving skills
  </li>
  <li>
   A good command in English both verbal and written
  </li>
  <li>
   Preferred Experience is test/deployment /support in used BPMN 2.0 applications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Bu ilana yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz hakk&inodot;ndaki ayd&inodot;nlatma metnine, &scedil;u linkten ula&scedil;abilirsiniz:
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    https://www.argela.com.tr/tr/kvkk
   </em>
  </strong>
 </p>
</div>


Senior Java Software Engineer

Samsung Electronics

<div>
 <p>
  <strong>
   Customer Service I Field Operations Support Assistant Manager
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  To be assigned in Customer Service Department, we are looking for a Field Operations Support Assistant Manager with below qualifications;
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles &amp; Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Field Operations Support Assistant Manager
  </strong>
  involves overseeing and supporting field operations of the Customer Service department, mostly for Home Appliances and AV products, ensuring that Samsung customers receive top quality support and services.
 </p>
 <ul>
  <li>
   Partner and performance management of Brand Engineer operation to ensure a smooth and efficient process, including procurements, certifications, administrative works of the related service accounts.
  </li>
  <li>
   Take ownership of improving field operation by working cooperatively with related departments and business partners. Coordinating with other departments such as HR, procurement, legal, finance, field and related departments in the customer service division to ensure that the needs of the operation is fulfilled.
  </li>
  <li>
   Creating and managing partner &amp; vendor contracts, monitoring SLA&rsquo;s, procurement processes.
  </li>
  <li>
   PnL management of the Brand Engineer operation, prepare budget plan, run variance analysis and rolling forecasts.
  </li>
  <li>
   Keep track of service income and operational costs to identify areas for improvement. Prepare regular reports and drive the implementation of actions focused on increasing field technicians productivity, service sales income and reducing costs.
  </li>
  <li>
   Manage the relationships with service B2B key accounts and make the agreements in line with providing proper administrative and financial requirements.
  </li>
  <li>
   Coordinate authorized service centers to acquire aftersales certifications of Turkish Standarts Institute (TSE) and manage certification cost, process and the operation of the partner company.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills And Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   B.Sc. or Master degree from Business Administration, Engineering Departments, or Economics
  </li>
  <li>
   +5 years of experience in customer service, project management or related functions, preferably within the Consumer Electronics or related industries.
  </li>
  <li>
   Adaptive and entrepreneurial approach: demonstrates flexibility, energy, and initiative in fast-paced, unpredictable, and matrix business environment.
  </li>
  <li>
   Can work under pressure with tight deadlines and can handle escalations calmly and competently.
  </li>
  <li>
   Ability to collaborate with international teams and adapting strategies to align with global plan.
  </li>
  <li>
   Demonstrated skills at multi-tasking, planning and organization.
  </li>
  <li>
   Strong analytical and problem solving skills with result oriented mindset.
  </li>
  <li>
   Proficiency in leveraging data analytics to derive insights, identify trends to optimize after-sales processes.
  </li>
  <li>
   Strong commitment to understand operational needs and expectations, driving process optimization strategies across service center operations, Samsung departments and vendors.
  </li>
  <li>
   Advanced English skills, excellent written and verbal communication skills.
  </li>
  <li>
   Proficiency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc).
  </li>
 </ul>
 <p>
 </p>
</div>


Field Operations Support Assistant Manager

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>
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>

Machine Learning Operations Engineer

<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>

Big Data & AI Engineer

CALIGO

<div>
 <p>
  <strong>
   About the job
  </strong>
 </p>
 <p>
  <em>
   What are the CALIGO Values?
  </em>
 </p>
 <ul>
  <li>
   We are motivated to be the
   <strong>
    Leader,
   </strong>
  </li>
  <li>
   We are committed to
   <strong>
    Excellence,
   </strong>
  </li>
  <li>
   We thrive within our
   <strong>
    Team,
   </strong>
  </li>
  <li>
   We
   <strong>
    Communicate
   </strong>
   effectively.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB DESCRIPTION
  </strong>
 </p>
 <ul>
  <li>
   Working in cross-functional teams as an
   <strong>
    M-Shaped Professional
   </strong>
   who can bring together several technical capabilities and industry know-how to transform big data into business insight
  </li>
  <li>
   Participating in the
   <strong>
    end-to-end project development life cycle
   </strong>
   (i.e., requirement analysis, technical design, implementation, testing, documentation, delivery and monitoring)
  </li>
  <li>
   Participating in
   <strong>
    source data analysis, requirement analysis
   </strong>
   and
   <strong>
    prototyping sessions
   </strong>
   as a
   <strong>
    Data
   </strong>
   <strong>
    Analyst
   </strong>
   with the business users to define data needs
  </li>
  <li>
   Working as a
   <strong>
    Data
   </strong>
   <strong>
    Engineer
   </strong>
   on
   <strong>
    Data Quality, Data Preparation, Data Modeling, Data Integration, Data Visualization, Business Intelligence
   </strong>
   activities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS
  </strong>
 </p>
 <ul>
  <li>
   Experience with
   <strong>
    DBMS and DB Appliances
   </strong>
   (
   <strong>
    MS SQL Server
   </strong>
   or
   <strong>
    Oracle Exadata
   </strong>
   ),
  </li>
  <li>
   Data Wrangling and Programming proficiency in
   <strong>
    PLSQL, T-SQL
   </strong>
   or
   <strong>
    Python
   </strong>
  </li>
  <li>
   Data Integration Tool experience
   <strong>
    (Oracle Data Integrator
   </strong>
   or
   <strong>
    Informatica)
   </strong>
  </li>
  <li>
   BI Tool experience (
   <strong>
    SAP Business Objects, Power BI, Tableau
   </strong>
   or
   <strong>
    QlikSense
   </strong>
   )
  </li>
  <li>
   Data Modeling experience on Data Modeling Tools (
   <strong>
    SAP Power Designer
   </strong>
   or
   <strong>
    Erwin Data Modeler
   </strong>
   )
  </li>
  <li>
   Previous
   <strong>
    Data and Analytics Services
   </strong>
   experience is a plus
  </li>
  <li>
   Previous experience in the
   <strong>
    Telco
   </strong>
   ,
   <strong>
    Insurance
   </strong>
   ,
   <strong>
    Banking or Airline
   </strong>
   industries is a plus
  </li>
  <li>
   Being familiar with business terminology, regulations and standards being imposed on the industries
  </li>
  <li>
   Experience in populating huge analytical datasets which are used to support complex decision-making processes
  </li>
  <li>
   Excellent problem solving, documentation, communication and presentation skills
  </li>
  <li>
   Fluency in English and Turkish
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT DO WE OFFER YOU:
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to be a part of a dynamic, motivated and well equipped agile team
  </li>
  <li>
   Opportunity to work with major clients in Banking, Finance, Telco, Airline and Insurance industries and learn valuable business know-how
  </li>
  <li>
   Opportunity to expand your technological expertise both on the job and during CALIGO Academy training sessions.
  </li>
  <li>
   Private health insurance
  </li>
  <li>
   Cash Meal Allowance
  </li>
  <li>
   Extra paid leave days
  </li>
  <li>
   Opportunity to join our CALIGO Sailing Team
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   After all the CVs of the applicants are evaluated, only candidates who meet all the requirements for the relevant job will be contacted.
  </em>
 </p>
 <p>
 </p>
</div>


Data & Analytics Consultant

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