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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>

Data Engineer

emlakjet.com

<div>
 
 Unlock a world of digital solutions alongside real estate at Emlakjet!
 
 
 
 
 
 Since our establishment in 2006, we've been excelling in simplifying property searches for sale, rent, or investment while providing diverse solutions to enhance our customers' experience. With 60M+ monthly page views and 15M+ visitors, we stand as a leading force in the proptech industry.
 
 
 
 
 
 Our extensive team of 200+ professionals, with a significant 42% representation of female talent, operates across 81 provinces in Turkey and Northern Cyprus, marking rapid growth.
 
 
 
 
 
 We aspire to push boundaries, pioneering comprehensive, innovative solutions that drive the technological evolution within Turkey's real estate sector.
 
 
 
 
 
 Since 2014, as a part of Ilab Holding, we have been contributing to a digital ecosystem that serves 65% of Turkey's monthly internet users.
 
 
 
 
 
 
 Your Profile
 
 
 <ul>
 <li>
 Bachelor's degree preferably in Computer Science
 </li>
 <li>
 Advanced academic degree (MS / PhD) typically in a quantitative discipline or related field is a plus,
 </li>
 <li>
 Minimum 2 years of experience as a Data Engineer
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience using cloud technologies for data processing, storage and modeling pipelines (Google BigQuery, Google Cloud Storage, AWS S3, etc.)
 </li>
 <li>
 Knowledge of general concepts of DevOps (Test, Deploy, Docker, Kubernetes, Build or Yaml scripting) is a plus
 </li>
 <li>
 Data warehousing experience (star schema, snowflake schema, scd types etc...)
 </li>
 <li>
 Hands on experience with SQL and NoSQL databases (Mongo, Redis, HBase, Cassandra)
 </li>
 <li>
 Familiarity with building data pipelines with unit and integration tests
 </li>
 <li>
 Experience with Apache Airflow and DBT
 </li>
 <li>
 Familiarity with batch data processing technologies is a plus (Spark, Kafka, Scala, Hive etc.)
 </li>
 <li>
 Experience with Git - Designing and developing standard practices within a GitHub environment
 </li>
 <li>
 Having experience with vector databases is a plus (FAISS, Milvus, Qdrant)
 </li>
 </ul>
 
 
 
 
 
 Your Role
 
 
 <ul>
 <li>
 Identifying, evaluating and implementing data management tools
 </li>
 <li>
 Working in the data science team to maintain data processes
 </li>
 <li>
 Writing scalable, robust and testable batch and streaming transformations
 </li>
 <li>
 Scale data pipelines and databases smoothly in a cost-effective way, assist with making decisions to extend or migrate existing data pipelines
 </li>
 </ul>
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the https://www.emlakjet.com/insan-kaynaklari/#encalisanadayiaydinlatmametni
 
</div>

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 
 
 We&rsquo;re looking for experienced Data Engineer to join our game changer team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Ensuring uninterrupted and reliable transmission of data flows within the scope of compliance with regulations; establishing, maintaining and developing the necessary system architectures and data lines in this direction
 </li>
 <li>
 To ensure that data to be sent to regulatory bodies on a periodic or event-based basis is packaged and transmitted in a timely, error-free and as automated as possible.
 </li>
 <li>
 Establish and operate control and verification systems to ensure that data from different sources are consistent with each other.
 </li>
 <li>
 Establishing monitoring systems for continuity and performance monitoring in data transmission, creating alarm configurations and producing preventive solutions against possible interruptions.
 </li>
 <li>
 Creating data models to meet regulatory reporting needs; working with different technical teams to ensure integration with source systems.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Engineering, Software Engineering, Industrial Engineering or related engineering/quantitative fields.
 </li>
 <li>
 Advanced knowledge and experience in SQL and data modeling.
 </li>
 <li>
 Experience in data warehouse (DWH) modeling.
 </li>
 <li>
 Experience in the design, development and management of ETL/ELT processes.
 </li>
 <li>
 Practical knowledge of working with large data sets, data integration and data validation processes.
 </li>
 <li>
 Experience in data platforms and workflow tools such as Apache Airflow, Spark, Kafka.
 </li>
 <li>
 To be actively involved in data processing and back-end development processes with Python, Java, .Net or similar languages.
 </li>
 <li>
 To have experience in working with version control systems.
 </li>
 <li>
 Disciplined work on technical documentation and data schema tracking.
 </li>
 <li>
 To be willing to work in public regulations, legislative compliance and audit-oriented data processes and to be open to development in this field.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Engineer. You should therefore have more than 3 years of experience in a Data Engineer role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 ✅Our hiring process
 
 
 
 We&rsquo;re guided by our goal of creating an equitable and inclusive experience where candidates from a wide variety of backgrounds have an opportunity to succeed.
 
 
 We do not imagine a complex recruitment process. That's why do we care that the process is short, fast and transparent.
 
 
 1.Application: You can apply for open positions on LinkedIn.
 
 
 2.First Interview: We want above all to assess your skills and see if you and TurkNet values are a match.
 
 
 3.Case study: We may need to test technical skill for some positions.
 
 
 4.Second Interview: Deep dive to your technical skills by hiring manager
 
 
 5.Welcome TurkNet!
 
</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></div>

Data Engineer, Growth

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

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com)
World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding. WBL services its loan portfolio and loan portfolios for third parties, specializing in the management of non-performing loan pools and REO.
WBL is a U.S.-based company with a 100% remote workforce.
This is a remote Contract/Consultant position.
Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
The job requires excellent oral and written command of the English language.
RESUMES MUST BE SUBMITTED IN ENGLISH.
Job Description:
The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis. 
Essential Functions:<ul>
<li>Ability to transform data, including bringing in data from multiple sources and creating programs to process and analyze it.</li>
<li>Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.</li>
<li>Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
</li><li>Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.</li>
<li>Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.</li>
</ul>Requirements<ul><li>
100% fluency in English, with exceptional English verbal and written communication skills</li></ul><ul>
<li>Bachelor&rsquo;s degree in Data Engineering, Finance.</li>
<li>2 years of experience in data engineering, finance, or related roles preferred.</li>
<li>Must have strong proficiency in Python, SQL, and Excel. (You will be tested)</li>
<li>Experience with Microsoft Fabric (preferred).</li>
<li>Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.</li>
<li>You must have your own laptop or desktop to use (the company does not supply equipment)</li>
</ul>Benefits<ul>
<li>CONTRACT/CONSULTANCY POSITION</li>
<li>PTO Available</li>
<li>USD salary ($1000 - $1500)</li>
<li>100% Work from home</li></ul></div>

Remote - Data Engineer Analyst

<div>
 
 About World Business Lenders (www.wbl.com)
 
 
 
 World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding. WBL services its loan portfolio and loan portfolios for third parties, specializing in the management of non-performing loan pools and REO.
 
 
 WBL is a U.S.-based company with a 100% remote workforce.
 
 
 This is a remote Contract/Consultant position.
 
 
 Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
 
 
 The job requires excellent oral and written command of the English language.
 
 
 
 RESUMES MUST BE SUBMITTED IN ENGLISH.
 
 
 
 
 Job Description:
 
 
 
 The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.
 
 
 
 Essential Functions:
 
 
 
 <ul>
 <li>
 Ability to transform data, including bringing in data from multiple sources and creating programs to process and analyze it
 </li>
 <li>
 Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting
 </li>
 <li>
 Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
 </li>
 <li>
 Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks
 </li>
 <li>
 Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 100% fluency in English, with exceptional English verbal and written communication skills
 </li>
 <li>
 Bachelor's degree in Data Engineering, Finance
 </li>
 <li>
 2 years of experience in data engineering, finance, or related roles preferred
 </li>
 <li>
 Must have strong proficiency in Python, SQL, and Excel. (You will be tested)
 </li>
 <li>
 Experience with Microsoft Fabric (preferred)
 </li>
 <li>
 Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required
 </li>
 <li>
 You must have your own laptop or desktop to use (the company does not supply equipment)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 CONTRACT/CONSULTANCY POSITION
 </li>
 <li>
 PTO Available
 </li>
 <li>
 USD salary ($1000 - $1500)
 </li>
 <li>
 100% Work from home
 </li>
 </ul>
</div>

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709 data engineer jobs IN Istanbul

Data Engineer

Data Engineer

Data Engineer

Data Engineer, Growth

Experienced Data Engineer

Remote - Data Engineer Analyst

Remote - Data Engineer Analyst