business analyst

data scientist

software engineer

data engineer

qa engineer

database engineer

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Manage all database instances including installation, configuration and maintenance (Oracle, MySQL, PostgreSQL, MSSQL, MongoDB, Cassandra, ClickHouse).
 </li>
 <li>
 Maintain the overall database integrity and quality via data auditing, system checks, security and code value management.
 </li>
 <li>
 Design and perform scheme changes according to needs of product development teams.
 </li>
 <li>
 Perform all database maintenance and tuning activities to ensure continued availability and performance.
 </li>
 <li>
 Implement best practices that will continuously improve service quality.
 </li>
 <li>
 Diagnose and resolve database performance and access issues.
 </li>
 <li>
 Provide high quality support for developers.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 5+ years administration experience with both NoSQL and RDBMS databases such as Oracle, MSSQL, MongoDB, PostgreSQL, Cassandra, MySQL, ClickHouse.
 </li>
 <li>
 Solid understanding of database administration, architecture and infrastructure.
 </li>
 <li>
 Experience in adjusting queries to enhance performance.
 </li>
 <li>
 Experience with automation of DBA tasks (Ansible, Python etc.).
 </li>
 <li>
 Experience with management of database policies, procedures, and technical standards.
 </li>
 <li>
 Knowledge of High Availability (HA) and Disaster Recovery (DR) options for MSSQL and other enterprise-grade databases (e.g. Oracle, PostgreSQL).
 </li>
 <li>
 Familiarity with open-source operating systems.
 </li>
 <li>
 Excellent command of English.
 </li>
 </ul>
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 "Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgi i&ccedil;in l&uuml;tfen
 
 Ayd&inodot;nlatma
 
 
 
 
 
 
 Metni&rsquo;ndeki
 
 &Ccedil;al&inodot;&scedil;an Aday&inodot; (https://www.hepsiburada.com/kisisel-verilerin-korunmasi) ki&scedil;i kategorisini inceleyiniz.&rdquo;
 
 
 
 
</div>

Database Engineer

Innovance Consultancy

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are looking for a passionate
 
 Data Engineer
 
 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.
 
 
 
 
 
 
 Responsibilities:
 
 
 <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>
 
 
 
 
 
 Required Qualifications:
 
 
 <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>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <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>
 
 
 
 
 
 Personal Attributes:
 
 
 <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>
 
 
 
 
 
 
 Follow us:
 
 
 
 <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

dataSpecta

<div>
 
 
 About the Role:
 
 
 
 
 
 
 At DataSpecta, we develop innovative solutions that shape the business world by unlocking the power of data. We are looking for a passionate
 
 Data Engineer
 
 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.
 
 
 
 
 
 
 Responsibilities:
 
 
 <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>
 
 
 
 
 
 Required Qualifications:
 
 
 <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>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <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>
 
 
 
 
 
 Personal Attributes:
 
 
 <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>
 
 
 
 
 
 
 Follow us:
 
 
 
 <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>

Wingie Enuygun Group

<div>Wingie Enuygun Group is Turkey&rsquo;s leading travel marketplace with more than 20 million visitors and 70 million page impressions each month. With its user-focused service, more than 500,000 travelers worldwide book their flights on Wingie Enuygun Group every month.
We invite you to have the opportunity to work in Wingie Enuygun Group's young and dynamic team. We are looking for a Data Engineer for Wingie Enuygun Group's growing Growth department. With this position, you will have the chance to take part in the team that has developed one of the most successful internet businesses in Turkey.
Requirements
What makes you special? 
<ul><li><ul>
<li>
You have a minimum of 4 years of hands-on experience in data engineering, with a strong background in building and orchestrating scalable, maintainable data systems.</li>
<li>You hold a bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field.</li>
<li>You've worked in technology-driven companies, especially those focused on data platforms or data products.</li>
<li>You&rsquo;re a collaborative team player who communicates effectively with cross-functional teams including data analysts, scientists, engineers, and stakeholders.</li>
<li>You&rsquo;re passionate about writing clean, reusable, and modular code, with a solid understanding of Object-Oriented Programming (OOP) and software design principles like SOLID and DRY.</li>
<li>You continuously learn and evolve with the latest in data, cloud, and software engineering, always striving to build robust, production-ready systems.</li>
</ul></li></ul>
What will you do? 
<ul><li><ul>
<li>
Design and implement scalable, maintainable data pipelines using Apache Airflow, following best practices for code organization and modularity.</li>
<li>Containerize data services using Docker and orchestrate deployments in Kubernetes, ensuring high availability and scalability.</li>
<li>Implement automated CI/CD pipelines to streamline testing, building, and deployment processes across environments.</li>
<li>Architect efficient BigQuery schemas and datasets, ensuring cost-effective, performant analytics and reporting.</li>
<li>Build and expose RESTful APIs for deploying and serving data science models, following robust versioning and documentation standards.</li>
<li>Collaborate with data science teams to support the full lifecycle of model development, from experimentation to production.</li>
<li>Enforce strong data governance, including lineage, quality checks, and automated monitoring.</li>
<li>Continuously evaluate and adopt new tools and methodologies in cloud-native data engineering and DevOps
</li></ul></li></ul>Benefits
What do we offer?<ul>
<li>The opportunity to work with the latest technologies and tools which serve the needs of millions of travelers worldwide,</li>
<li>The chance to witness firsthand how we have managed to become a rapidly scaling and now globalized e-commerce company in Turkey and to be a part of a culture that centers around data, productivity, and customer satisfaction,</li>
<li>Lifelong learning, development, and growth opportunities with ongoing training sessions, internal and external training programs, and free access to e-learning platforms such as Coursera, Udemy, Symfonycasts, Lynda, Edx, Oreilly,</li>
<li>Appointments with our nutritionist for you to take a step towards healthier lifestyle,</li>
<li>Gift Card so that you can unwind after a productive day by watching your favorite shows,</li>
<li>A comprehensive orientation program to get you acquainted with the Wingie Enuygun team and start contributing from the first day,</li>
<li>An office environment without a dress code,</li>
<li>Meal card for lunch and daily access to healthy snacks (Multinet),</li>
<li>Social club memberships (Hiking Club, Animal Protection Club, Basketball Club, Football Club, Volleyball Club, Chess Club, Game Club, Culture and Art Club),</li>
<li>Complementary health insurance (Anadolu Sigorta),</li>
<li>Life insurance (Zurich),</li>
<li>Travel fee for the day you arrive at the office</li>
<li>Commuter benefits covering the number of days you come to the office,</li>
<li>Two big parties to celebrate your successes with your team,</li>
<li>Discounts on flight tickets and hotel reservations from Wingie Enuygun Group,</li>
<li>Carrefour Gift Card to contribute to grocery shopping once a year,</li>
<li>Marriage and birth gifts</li></ul></div>

Experienced Data Engineer

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150 + million fans worldwide!
Check out our smash-hit games:
 Critical Strike<ul><li>&#65039; Polygun Arena</li></ul>
Now, we're looking for a passionate Data Engineer to join our dynamic team in Istanbul. This is an on-site role, requiring you to work 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide!
Requirements<ul>
<li>Own and evolve our Airflow &amp; DBT-based data pipeline architecture.</li>
<li>Develop reliable and cost-efficient data workflows that ensure timely and accurate data delivery.</li>
<li>Build and maintain ETL/ELT processes to ingest data from external and internal sources.</li>
<li>Collaborate with analysts, engineers, and product teams to design scalable data models.</li>
<li>Implement and optimize data warehouse structures (BigQuery or others) for analytical efficiency.</li>
<li>At least 1 proven DWH project experience in cloud-native architectures (GCP or AWS)</li>
<li>Monitor and troubleshoot pipeline failures, optimize for performance and cost-efficiency.</li>
<li>Ensure data quality, consistency, and governance across the stack.</li>
</ul>Required Skills<ul>
<li>2+ years of experience in a data engineering or backend data-focused role.</li>
<li>Proficiency in DBT for data modeling and transformation.</li>
<li>Hands-on experience with Apache Airflow for orchestration and scheduling.</li>
<li>Solid understanding of ETL/ELT pipelines and cloud-based data workflows.</li>
<li>Experience working with Google Cloud Platform (e.g., BigQuery, Cloud Run, Cloud Functions, Cloud SQL).</li>
<li>Proficiency in Python for scripting and workflow automation.</li>
<li>Strong command of SQL and experience building data models in a warehouse environment.</li>
<li>Understanding of cost optimization practices in cloud environments.</li>
<li>Familiarity with CI/CD processes and version control systems like Git.</li>
<li>Good communication skills and the ability to work cross-functionally with analysts and developers.</li>
</ul>Benefits
 Competitive net salary
 Meal Card
 Private Health Insurance
 Monthly-based financial support for educational platforms
 Company equity: Share in the company to make you an owner, not just an employee
 Birthday leave
 Retention bonus
 Referral bonus
 5 days of annual leave from the start date 
 
Interviewing<ul>
<li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting with our founders to discuss further details at our Istanbul office.</li></ul></div>

Midas

<div><div>At Midas, we are working on real-life engineering challenges to transform the world of finance.</div><div>
We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.</div><div>
Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.</div><div></div><div> 
Performance Marketing at Midas operates at scale &mdash; hundreds of decisions that compound daily. To move fast without breaking things, we need data infrastructure that's accurate, automated, and built for experimentation from the ground up.</div><div>
As an Data Engineer supporting Growth &mdash; you'll be building the systems that make marketing decisions possible. You'll own the full experimentation lifecycle, design data models that surface causality (not just correlation), and ensure every pipeline feeding Performance Marketing is monitored, tested, and bulletproof. Your work will directly influence how we allocate marketing spend, launch experiments, and scale user acquisition.</div>
<h3 class="jobSectionHeader">About Midas Team</h3><ul><li>
We solve challenging problems and build 10x better products.</li><li>
We expect hard work, high ownership, a strong desire to learn.</li><li>
We bring the best people, holding high quality standards, and an environment of speed and ambition.</li><li>
You will get to push your boundaries and learn from the best.</li></ul><h3 class="jobSectionHeader">
Results Expected</h3><ul><li>
Achieve &gt;99% data accuracy - measured over rolling 90-day periods - for all Performance Marketing metrics, validated through automated testing and monitoring</li><li>
Build and maintain data pipelines and integrations that feed marketing attribution, cohort analysis, and ROI modeling &mdash; with zero recurring incidents that could impact spend decisions</li><li>
Build and maintain data pipelines that enable rapid experimentation, reducing time-to-experiment by 50%+ within 6 months through automated data collection and analysis</li><li>
Design and implement data models that empower new experiment capabilities, increasing the number of experiments launched by 25%+ within 6 months</li><li>
Design and implement attribution models that enable successful attribution of conversion signals across marketing channels, with model predictions validated against holdout incrementality tests showing &lt;20% error rate</li><li>
Implement full observability across marketing data pipelines &mdash; monitoring, alerting, and automated anomaly detection &mdash; with &lt;1 hour mean time to detection for data quality issues</li></ul><h3 class="jobSectionHeader">
Technical Competencies</h3><ul><li>
Builds robust, tested data pipelines using SQL, Python, and orchestration tools like Airflow (but remains tool-agnostic and adaptable)</li><li>
Designs data models that support causal inference, experimentation, and marketing attribution</li><li>
Understands the statistics behind A/B testing &mdash; power analysis, variance reduction, multiple testing corrections, and when to ship results</li><li>
Writes clean, version-controlled code and integrates data quality checks into every pipeline</li><li>
Thinks in systems &mdash; designs for monitoring, debugging, and long-term maintainability from day one</li></ul><h3 class="jobSectionHeader">
Cultural Competencies</h3><ul><li>
Takes full ownership &mdash; doesn't wait, just solves.</li><li>
Questions assumptions and rebuilds from first principles.</li><li>
Balances speed and quality &mdash; ships fast, but always clean.</li><li>
Collaborates fluidly across teams; communicates clearly, with empathy and precision.</li></ul><div>
Curious about our tech stack?</div><div>
Take a look: https://stackshare.io/getmidas/midas-engineering</div><div>
Also check out our engineering blog: https://engineering.getmidas.com/</div><div>
Midas Engineering Twitter: https://twitter.com/midas_eng</div><div></div> 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Data Engineer, Growth

ViTO Energy, Engineering & Construction

<div>
 
 ViTO Energy Engineering and Construction, a wholly owned subsidiary of ViTO Group, is an integrated EPC (Engineering, Procurement, and Construction) services provider for industrial projects. Our industry-specific organization focuses on executing turnkey projects in the oil, gas, and energy sectors. Utilizing modern technology and techniques to deliver excellent results and added value to our clients, our Group currently operates from headquarters in Qatar, India, the United Arab Emirates, Germany, and Istanbul.
 
 
 
 
 
 We are seeking a Mechanical Proposal Engineer to work at our Vadistanbul headquarters in Istanbul.
 
 
 
 
 
 
 Mechanical Proposal Engineer
 
 
 
 
 &nbsp;
 
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 Mechanical Engineering bachelor&rsquo;s degree from reputable universities, min. 3 years of experience for similar positions,
 </li>
 <li>
 Having experience as a Site Engineer or Technical Office Engineer in refinery, petrochemical, or power plant construction projects is a plus.
 </li>
 <li>
 Advanced computer skills and proficient in the use of MS Office programs, especially advanced excel skill is a must.
 </li>
 <li>
 Being proficient at working to tight deadlines and be able to prioritize tasks,
 </li>
 <li>
 Excellent written and verbal communication skills in Turkish and English,
 </li>
 <li>
 Problem solver, analytical thinking, with an ability to query and research,
 </li>
 <li>
 Team player, result-oriented with strong planning and organization skills,
 </li>
 <li>
 Excellent time management skills, rigorous and detail-oriented,
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 <ul>
 <li>
 Assisting proposal activities including the review of proposal requirements, preparing documentation, cost estimating, creating schedules and other requirements,
 </li>
 <li>
 Establishing, maintaining, improving and ensuring the accuracy of proposals database and records,
 </li>
 <li>
 Attending clarification meetings with Client when required,
 </li>
 <li>
 Being familiar with the general specifications and market requirements.
 </li>
 <li>
 Carrying out technical presentation of project execution plans and providing clarifications and resolving queries,
 </li>
 <li>
 Attending site visits as needed to become acquainted with site conditions and take account of these in the technical proposal,
 </li>
 <li>
 Collecting material and subcontractor prices, preparing price quotations, creating price analyses and preparing business plans,
 </li>
 <li>
 Preparation of cost analyses and budget reports, if needed.
 </li>
 <li>
 Preparation and follow-up of daily and weekly activities
 </li>
 </ul>
 
 
 
</div>

Mechanical Proposal Engineer

Explore 212+ Database engineer in Istanbul this October. Find roles across top companies and apply now to boost your career.

212 database engineer jobs IN Istanbul

Database Engineer

Data Engineer

Data Engineer

Experienced Data Engineer

Data Engineer

Data Engineer, Growth

Mechanical Proposal Engineer