data scientist

senior data scientist Jobs in Istanbul Turkey

senior data scientist

data analyst

ai engineer

lead data scientist Jobs in Istanbul Turkey

lead data scientist

data engineer

dataSpecta

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At DataSpecta, we develop innovative solutions that shape the business world by unlocking the power of data. We are looking for a passionate
  <strong>
   Data Engineer
  </strong>
  to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
  </li>
  <li>
   Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
  </li>
  <li>
   Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
  </li>
  <li>
   Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
  </li>
  <li>
   Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
  </li>
  <li>
   Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
  </li>
  <li>
   3+ years of hands-on experience in Data Engineering or Data Warehousing
  </li>
  <li>
   Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
  </li>
  <li>
   Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
  </li>
  <li>
   Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
  </li>
  <li>
   Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
  </li>
  <li>
   In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
  </li>
  <li>
   Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications (Nice to have):
  </strong>
 </p>
 <ul>
  <li>
   Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
  </li>
  <li>
   Experience with real-time data processing and streaming technologies, such as Kafka
  </li>
  <li>
   Familiarity with workflow management platforms like Airflow
  </li>
  <li>
   Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
  </li>
  <li>
   Familiarity with BI tools such as Power BI
  </li>
  <li>
   Experience in the banking or finance industry is a significant advantage
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Personal Attributes:
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication skills in English, both written and verbal
  </li>
  <li>
   Strong analytical thinking, problem-solving skills, and a results-oriented mindset
  </li>
  <li>
   A team player with the ability to communicate effectively with stakeholders at all technical levels
  </li>
  <li>
   Detail-oriented with a commitment to delivering high-quality work
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Follow us:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   LinkedIn: https://www.linkedin.com/company/innovance-consultancy
  </li>
  <li>
   LinkedIn: https://www.linkedin.com/company/dataspecta
  </li>
  <li>
   Instagram: https://www.instagram.com/innovanceconsultancy
  </li>
  <li>
   Instagram: https://www.instagram.com/dataspecta
  </li>
 </ul>
</div>


Data Engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
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.</div><div></div><div><b><br>
About the Role</b></div><div>
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Build and maintain scalable data pipelines for batch and real-time data processing.</li><li>
Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions</li><li>
Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams</li><li>
Collaborate with cross-functional teams to define data architecture and infrastructure requirements</li><li>
Monitor and improve pipeline performance, scalability, and resilience</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree in Computer Science, Engineering or related Information Technologies field</li><li>
2+ years of experience as a Data Engineer or in a similar data-focused role</li><li>
Strong Software Engineering skills</li><li>
Experience with Scala or Java programming language</li><li>
Experience with Go programming language is a plus</li><li>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</li><li>
Familiarity with real-time data processing and streaming architectures for low-latency analytics</li><li>
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS and NoSQL databases</li><li>
Experience with testing frameworks, including unit testing and data quality validation for data pipelines</li><li>
Experience with containerization technologies such as Docker and Kubernetes</li><li>
Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices</li><li>
Strong problem-solving skills and the ability to work independently and collaboratively</li><li>
Strong English communication skills, written and verbal</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Tech Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</li><li>
Streaming &amp; Messaging: Apache Kafka</li><li>
Workflow Orchestration: Apache Airflow</li><li>
DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>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.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>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.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
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></div></div>

Vakko

<div>
 <p>
  <strong>
   Key Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
  </li>
  <li>
   Strong proficiency in SQL with hands-on experience developing ETL workflows and analytical data models,
  </li>
  <li>
   Solid understanding of data warehousing, dimensional modeling, and design principles,
  </li>
  <li>
   Experience in data visualization and the ability to design clear, insightful dashboards that effectively communicate business metrics and trends,
  </li>
  <li>
   Strong skills in data cleaning, transformation, validation, and enrichment for large datasets,
  </li>
  <li>
   Excellent analytical thinking and strong attention to detail, particularly regarding data consistency and accuracy,
  </li>
  <li>
   Strong English communication skills, both written and verbal,
  </li>
  <li>
   Experience with cloud environments (especially AWS).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain ETL processes and data pipelines, ensuring smooth, consistent, and high-quality daily data flows,
  </li>
  <li>
   Develop and maintain data models, calculated fields, KPIs, and business metrics for accurate and standardized reporting,
  </li>
  <li>
   Perform data enrichment, cleaning, validation, and transformation to improve data usability and integrity,
  </li>
  <li>
   Monitor daily data refreshes, identify missing or inconsistent records, verify critical business totals, and resolve data quality issues,
  </li>
  <li>
   Analyze internal datasets and deliver data-driven insights that support business needs and strategic initiatives,
  </li>
  <li>
   Collaborate closely with business units to understand reporting requirements and contribute to data-driven decision-making processes.
  </li>
 </ul>
 <p>
 </p>
</div>


Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</p><p></p><p>
What&rsquo;s in it for you?</p><p>
&#10024;<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><p>Job Description</p><p></p><p><br>
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:</p><ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul><p></p><p><i>
Requirements</i></p><ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div><p></p>

Sanipak

<div>
 <p>
  Sanipak has more than 1600 employees. We export our leading brands such as OK, Solo, Selpak, UniBaby, and our most preferred brands in the cleaning papers, personal care, home care, baby care, and out-of-home categories to more than 80 countries in 5 continents, while investing heavily in digital transformation and data-driven decision-making. To support our growing initiatives in self-service BI, self-service analytics, and advanced analytics, we are expanding our Data &amp; Analytics team with a hands-on, technically skilled
  <strong>
   Data &amp; Analytics Engineer.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What do we expect from our new team member?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design, develop, and manage data pipelines and ETL processes
   </strong>
   on platforms (i.e. SSIS, SQL Server, Azure Data Factory/Fabric) to feed our Enterprise Data Warehouse (EDW).
  </li>
  <li>
   <strong>
    Integrate diverse data sources
   </strong>
   (i.e. enterprise sources like SAP, SAP BW, SQL Server, IoT systems and business sources like market data, 3rd-party APIs) to deliver analytics-ready datasets.
  </li>
  <li>
   <strong>
    Build and maintain scalable data systems, data models and data products
   </strong>
   that power enterprise reporting systems and self-service analytics across business teams
   <em>
    (note: dashboard/report creation is not part of this role)
   </em>
   .
  </li>
  <li>
   <strong>
    Own and manage data governance processes
   </strong>
   including metadata management, data lineage, report lineage, data quality, and data cataloging (with tools like Informatica).
  </li>
  <li>
   <strong>
    Own and manage integration and API catalog
   </strong>
  </li>
  <li>
   <strong>
    Optimize large-scale datasets
   </strong>
   to ensure query efficiency and scalability.
  </li>
  <li>
   Collaborate with
   <strong>
    cross-functional teams
   </strong>
   (data scientists, analysts, and business stakeholders) to design data structures that support business KPIs and reporting.
  </li>
  <li>
   Contribute to the
   <strong>
    design and deployment of scalable data architecture
   </strong>
   in Azure Fabric and EDW environments, ensuring future-proof solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What kind of teammate are we looking for?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Software Engineering, Information Technology
   </strong>
   , or a related field.
  </li>
  <li>
   <strong>
    2+ years of experience
   </strong>
   in data engineering or data architecture roles.
  </li>
  <li>
   <strong>
    Advanced SQL skills
   </strong>
   for data transformation and performance optimization.
  </li>
  <li>
   Strong hands-on expertise with
   <strong>
    SSIS and SQL Server
   </strong>
   for ETL and data pipeline development.
  </li>
  <li>
   Experience or willingness to advance in
   <strong>
    Azure Data Factory/Fabric
   </strong>
   .
  </li>
  <li>
   <strong>
    Proficiency in Python
   </strong>
   (basic to intermediate, for automation and data processing).
  </li>
  <li>
   Familiarity with
   <strong>
    metadata, data lineage, and cataloging tools
   </strong>
   (e.g., Informatica).
  </li>
  <li>
   Experience in optimizing
   <strong>
    large-scale SQL Server environments
   </strong>
   (indexing, partitioning, query tuning).
  </li>
  <li>
   Understanding of
   <strong>
    ETL/ELT best practices, data modeling, governance, and security
   </strong>
   .
  </li>
  <li>
   Ability to
   <strong>
    work with and guide external consultants
   </strong>
   while ensuring best practices and process sustainability.
  </li>
  <li>
   Curious, self-driven, with
   <strong>
    strong analytical and communication skills
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What do we offer you?
  </strong>
 </p>
 <ul>
  <li>
   A chance to
   <strong>
    build and own the company&rsquo;s data backbone
   </strong>
   , shaping governance and architecture standards.
  </li>
  <li>
   Exposure to
   <strong>
    cutting-edge platforms
   </strong>
   (Azure Fabric, IoT, diverse external data sources).
  </li>
  <li>
   <strong>
    Career growth opportunities
   </strong>
   with training and certification support (e.g., Azure Data Engineer).
  </li>
  <li>
   Opportunities to
   <strong>
    lead and mentor external or junior resources
   </strong>
   while staying hands-on in development.
  </li>
  <li>
   A
   <strong>
    dynamic, transformation-driven environment
   </strong>
   , working on projects with impact across the business.
  </li>
  <li>
   At Eczac&inodot;ba&scedil;&inodot;, you can steadily improve your personal, professional, and technical competencies by participating in
   <strong>
    training programs
   </strong>
   that support you and your career.
  </li>
  <li>
   You will have access to opportunities for
   <strong>
    rotation
   </strong>
   among more than 50 companies and
   <strong>
    global experience
   </strong>
   in over 120 international markets.
  </li>
  <li>
   <strong>
    Vacation time
   </strong>
   at Eczac&inodot;ba&scedil;&inodot; is calculated according to seniority based on your total work experience. Your bring your seniority with you.
  </li>
  <li>
   We will always recognize your success through different
   <strong>
    reward
   </strong>
   methods.
  </li>
  <li>
   You can take advantage of location-independent or hybrid work opportunities through
   <strong>
    different work models
   </strong>
   suitable to the nature of your job, and you can determine your own work schedule with
   <strong>
    flexible work hours
   </strong>
   . We offer technology and ergonomic support packages to Eczac&inodot;ba&scedil;&inodot; employees who work remotely full-time.
  </li>
  <li>
   As a new parent working at Eczac&inodot;ba&scedil;&inodot;, you are privileged. Eczac&inodot;ba&scedil;&inodot; employees who are mothers are provided with monthly
   <strong>
    nursery support
   </strong>
   ; Eczac&inodot;ba&scedil;&inodot; employees who are fathers are entitled to a
   <strong>
    3-week paternity leave
   </strong>
   .
  </li>
  <li>
   People who savor
   <strong>
    culture and art
   </strong>
   are here! Thanks to the Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of
   <strong>
    Istanbul Modern
   </strong>
   , Turkey's first modern and contemporary art museum, you can visit the museum for free. Additionally, thanks to Eczac&inodot;ba&scedil;&inodot; Group&rsquo;s founding sponsorship of Istanbul Foundation for Culture and Arts (&Idot;KSV), you can also enjoy the privilege and discounts of &Idot;KSV&rsquo;s Lale Card to all &Idot;KSV events.
  </li>
  <li>
   You can participate in Eczac&inodot;ba&scedil;&inodot;&rsquo;s
   <strong>
    volunteering activities
   </strong>
   , every one of which prioritizes social benefit, and get involved in projects that create social impact.
  </li>
  <li>
   We are committed to ensuring
   <strong>
    equal opportunity
   </strong>
   of employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority.
  </li>
  <li>
   <strong>
    #WeDoNotDifferentiateBetweenJobsForWomenAndMen
   </strong>
  </li>
 </ul>
 <p>
 </p>
</div>


Data & Analytics Engineer

CALIGO

<div>
 <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>
  <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>
    data source analysis, requirement analysis and prototyping sessions
   </strong>
   as a Data Analyst with the business users to define data needs and Data Quality issues
  </li>
  <li>
   Working as a Data Engineer on
   <strong>
    Data Preparation, Data Modeling, Data Integration, Data Visualization, Business Intelligence
   </strong>
   activities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS
  </strong>
 </p>
 <ul>
  <li>
   Experience with
   <strong>
    DBMS and DB Appliances
   </strong>
   (MS SQL Server, Oracle Exadata),
  </li>
  <li>
   Data Wrangling and Programming proficiency in
   <strong>
    PLSQL or T-SQL
   </strong>
  </li>
  <li>
   Data Integration Tool experience
   <strong>
    (Oracle Data Integrator or Informatica)
   </strong>
  </li>
  <li>
   BI Tool experience (
   <strong>
    SAP Business Objects, Power BI, Tableau or QlikSense
   </strong>
   is a plus)
  </li>
  <li>
   Data Modeling experience on Data Modeling Tools (
   <strong>
    SAP Power Designer or Erwin Data Modeler
   </strong>
   is a plus)
  </li>
  <li>
   Previous
   <strong>
    Data and Analytics Services
   </strong>
   experience is a plus
  </li>
  <li>
   Previous experience in
   <strong>
    Banking
   </strong>
   industry, being familiar with business terminology, regulations and standards being imposed on the industry
  </li>
  <li>
   Experience in Data Warehouse Modelling and Applications
  </li>
  <li>
   <strong>
    Regulatory Reporting and Financial Reporting
   </strong>
   Project experience is a plus
  </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>
  <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 and Insurance industries and learn valuable business know-how
  </li>
  <li>
   Opportunity to expand your technological expertise in Data &amp; Analytics &ndash; both on the job and during CALIGO Academy training sessions.
  </li>
  <li>
   Private health insurance
  </li>
  <li>
   Meal card
  </li>
  <li>
   Extra paid leave days
  </li>
  <li>
   Opportunity to join our CALIGO Rowing Team
  </li>
 </ul>
 <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>
</div>


Data & Analytics Senior Consultant

Medisa

<div>
 <p>
  Medisa&rsquo;da, sa&gbreve;l&inodot;kl&inodot; bireyler, sa&gbreve;l&inodot;kl&inodot; toplum ve beraberinde s&uuml;rd&uuml;r&uuml;lebilir bir d&uuml;nya in&scedil;a etme amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz. Ekibimize kat&inodot;lan her yeni yetenekle kendimizi bir ad&inodot;m daha ileriye ta&scedil;&inodot;yor, amac&inodot;m&inodot;za yakla&scedil;&inodot;yoruz. Sa&gbreve;l&inodot;k sisteminde fark yaratan i&scedil;lere imzan atan ve hayata anlaml&inodot; bir iz b&inodot;rakmak i&ccedil;in &ccedil;al&inodot;&scedil;an ekibin bir par&ccedil;as&inodot; olmak istersen seni de aram&inodot;za bekliyoruz!
 </p>
 <p>
  <br/>
 </p>
 <p>
  Medisa , Bilgi Teknolojileri Direkt&ouml;rl&uuml;&gbreve;&uuml;, Yaz&inodot;l&inodot;m Geli&scedil;tirme ve Mimari M&uuml;d&uuml;rl&uuml;&gbreve;&uuml;&rsquo;nde g&ouml;rev almak &uuml;zere
  <strong>
   Veri M&uuml;hendisi
  </strong>
  aray&inodot;&scedil;&inodot;m&inodot;z bulunmaktad&inodot;r.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Genel Nitelikler
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Yaz&inodot;l&inodot;m M&uuml;hendisli&gbreve;i, Matematik veya ilgili b&ouml;l&uuml;mlerinden mezun,
  </li>
  <li>
   Veri m&uuml;hendisli&gbreve;i veya ilgili alanlarda en az 5 y&inodot;l deneyimli,
  </li>
  <li>
   Oracle, PostgreSQL, SQL Server veya di&gbreve;er ili&scedil;kisel veri tabanlar&inodot; ile &ccedil;al&inodot;&scedil;ma deneyimine sahip,
  </li>
  <li>
   &Idot;leri seviyede &Idot;ngilizce bilgisine sahip,
  </li>
  <li>
   ETL ara&ccedil;lar&inodot;yla (tercihen Oracle Data Integrator veya benzeri) &ccedil;al&inodot;&scedil;m&inodot;&scedil;,
  </li>
  <li>
   Veri modelleme konular&inodot;nda ileri d&uuml;zey bilgiye sahip,
  </li>
  <li>
   Python veya Java ile veri i&scedil;leme alan&inodot;nda deneyime sahip,
  </li>
  <li>
   Veri y&ouml;neti&scedil;imi, veri g&uuml;venli&gbreve;i ve veri kalitesi s&uuml;re&ccedil;leri hakk&inodot;nda bilgiye sahip,
  </li>
  <li>
   Agile/Scrum metodolojileriyle &ccedil;al&inodot;&scedil;ma konusunda tecr&uuml;beli bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &Idot;&scedil; Tan&inodot;m&inodot;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   &Scedil;irketin veri altyap&inodot;s&inodot;n&inodot; geli&scedil;tirmek, optimize etmek ve y&ouml;netmek,
  </li>
  <li>
   Farkl&inodot; kaynak sistemlerden veri entegrasyonu sa&gbreve;lamak ve ETL s&uuml;re&ccedil;lerini tasarlamak, geli&scedil;tirmek ve optimize etmek,
  </li>
  <li>
   Veri ambar&inodot; modelleri olu&scedil;turmak ve veri s&uuml;re&ccedil;lerinin s&uuml;reklili&gbreve;ini sa&gbreve;lamak,
  </li>
  <li>
   B&uuml;y&uuml;k veri sistemleri, veri g&ouml;lleri ve analitik platformlarla &ccedil;al&inodot;&scedil;arak veri y&ouml;netimini ileriye ta&scedil;&inodot;mak,
  </li>
  <li>
   Veri kalitesini ve g&uuml;venli&gbreve;ini sa&gbreve;lamak i&ccedil;in gerekli s&uuml;re&ccedil;leri tasarlamak ve uygulamak,
  </li>
  <li>
   &Idot;&scedil; zekas&inodot; ve raporlama ekipleriyle i&scedil; birli&gbreve;i yaparak veri modellerini optimize etmek,
  </li>
  <li>
   Veri y&ouml;neti&scedil;imi ve metadata y&ouml;netimi s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;lamak,
  </li>
  <li>
   Qlik Sense veya benzeri veri g&ouml;rselle&scedil;tirme ara&ccedil;lar&inodot;yla veri analizi ve raporlama s&uuml;re&ccedil;lerine destek olmak,
  </li>
  <li>
   Yapay zeka ve makine &ouml;&gbreve;renmesi projeleri i&ccedil;in gerekli veri haz&inodot;rl&inodot;k s&uuml;re&ccedil;lerini y&uuml;r&uuml;tmek, veri setleri olu&scedil;turmak ve bu s&uuml;re&ccedil;lerin verimlili&gbreve;ini art&inodot;rmak,
  </li>
  <li>
   Model e&gbreve;itiminde kullan&inodot;lacak temiz ve anlaml&inodot; veri setlerini sa&gbreve;lamak &uuml;zere veri ak&inodot;&scedil;lar&inodot;n&inodot; (pipeline) tasarlamak ve geli&scedil;tirmek.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Medisa&rsquo;da seni neler bekliyor?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Yabanc&inodot; Dil Deste&gbreve;i:
  </strong>
  Online ve &uuml;cretsiz olarak &Idot;ngilizce&rsquo;mizi geli&scedil;tiriyoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   K&inodot;yafet Prosed&uuml;r&uuml;:
  </strong>
  Konforlu &ccedil;al&inodot;&scedil;may&inodot; &ouml;nemsiyor, y&inodot;l i&ccedil;erisinde kat&inodot; k&inodot;yafet kurallar&inodot; uygulam&inodot;yoruz! &Ouml;rne&gbreve;in yaz&inodot;n hem s&inodot;caktan daha az etkilenmek, hem de daha rahat &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ofislerimizde &scedil;ortlar&inodot;m&inodot;zla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &Scedil;irket Katk&inodot;l&inodot; BES:
  </strong>
  Birikim tutar&inodot;n kadar &scedil;irketin sa&gbreve;lad&inodot;&gbreve;&inodot; katk&inodot;yla gelece&gbreve;ine yat&inodot;r&inodot;m yapabilmen i&ccedil;in destek oluyoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Sabanc&inodot; Life:
  </strong>
  Sabanc&inodot; &ccedil;al&inodot;&scedil;anlar&inodot;na &ouml;zel farkl&inodot; indirim f&inodot;rsatlar&inodot;ndan yararlan&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Kul&uuml;plerimiz:
  </strong>
  6 farkl&inodot; spor kul&uuml;b&uuml;m&uuml;z ile d&uuml;zenli antrenmanlar yap&inodot;yor, y&inodot;l i&ccedil;erisinde &scedil;irketler aras&inodot; turnuvalara kat&inodot;larak ba&scedil;ar&inodot;lara imza at&inodot;yoruz! Sosyal kul&uuml;plerimiz ile de her ay gurme etkinliklerinden, sanat at&ouml;lyelerine; konserlerden tiyatroya uzanan keyifli aktivitelerde bulu&scedil;arak hep beraber sosyalle&scedil;iyoruz.
 </p>
 <p>
 </p>
</div>


Veri Mühendisi

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