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Trendyol

<div><div><div><b>ABOUT THE TEAM</b></div><div></div><div><br>
We&rsquo;re shaping the future of financial technology at Trendyol.</div><div>
As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.</div><div>
With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.</div><div></div><div><br>
We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology</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 cloud-native data platforms 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>
Solid experience with at least one big data processing framework such as Apache Spark or Apache Flink</li><li>
Experience with cloud-native data infrastructure (GCP preferred) to ensure reliable, cost-effective solutions</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 (BigQuery, Snowflake), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Temporal</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both SQL 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>
Knowledge of 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>Technology Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Big Data Processing: Apache Spark (primary), Apache Flink</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>
Cloud Platform: Google Cloud Platform (BigQuery, GCS, GKE, Dataproc, Cloud Functions, Composer, Monitoring, Logging)</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><div><b>
A hybrid working model with flexibility &mdash;</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.</div><div><b>
A customizable FlexBenefits budget &mdash;</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.</div><div><b>
Comprehensive wellbeing support &mdash; </b>Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.</div><div><b>
Personalized training allowance and learning opportunities &mdash;</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.</div><div><b>
Responsibility from day one &mdash; </b>Take full ownership from the start in a culture where every voice is heard and valued.</div><div><b>
A diverse, international team &mdash; </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</div><div><b>
Opportunities to grow with the best &mdash;</b> Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</div><div><b>
Meaningful connections beyond tasks &mdash;</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</div><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply now and let&rsquo;s take the next step together.</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>

Data Engineer

Midas

<div><div>At Midas, we are working on real-life engineering challenges<i> </i>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><br>
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"><b>About Midas Team</b></h3><ul><li>
We <b>solve</b> challenging problems and build 10x better products.</li><li>
We <b>expect</b> hard work, high ownership, a strong desire to learn.</li><li>
We <b>bring</b> the best people, holding high quality standards, and an environment of speed and ambition.</li><li><b>
You</b> will get to push your boundaries and learn from the best.</li></ul><h3 class="jobSectionHeader"><b>
Results Expected</b></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"><b>
Technical Competencies</b></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"><b>
Cultural Competencies</b></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><b>
Curious about our tech stack?</b></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><p><br>
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.</p></div>

Data Engineer, Growth

World Business Lenders, LLC

<div><p><b>About World Business Lenders (</b>www.wbl.com)</p><p>
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.</p><p>
WBL is a U.S.-based company with a 100% remote workforce.
</p><p>This is a remote Contract/Consultant position.
</p><p>Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
</p><p>The job requires excellent oral and written command of the English language.
</p><p><b>RESUMES MUST BE SUBMITTED IN ENGLISH.</b></p><p></p><p><b>
Job Description:
</b></p><p>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.</p><p><b><br>
Essential Functions:</b></p><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><p><b>Requirements</b></p><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><p></p><p><b>Benefits</b></p><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>
 <strong>
  About World Business Lenders (www.wbl.com)
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 WBL is a U.S.-based company with a 100% remote workforce.
 <br/>
 <br/>
 This is a remote Contract/Consultant position.
 <br/>
 <br/>
 Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
 <br/>
 <br/>
 The job requires excellent oral and written command of the English language.
 <br/>
 <br/>
 <strong>
  RESUMES MUST BE SUBMITTED IN ENGLISH.
  <br/>
  <br/>
 </strong>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Essential Functions:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <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)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   CONTRACT/CONSULTANCY POSITION
  </li>
  <li>
   PTO Available
  </li>
  <li>
   USD salary ($1000 - $1500)
  </li>
  <li>
   100% Work from home
  </li>
 </ul>
</div>


United Technologies Corporation

<div><div><b>About us<br>
</b></div><div></div><br>
<div>Our products are reaching top positions in their categories on App Store and Google Play. 96 million people around the world use it. Our products are well-known among users from the US, UK, Canada, and leading European and Middle East countries.
</div><div>We&rsquo;re passionate about human connection and autonomy. We desire to grow our team in Turkey for a new product in the interactive story genre of lifestyle games.<br>
</div><div></div><br>
<br>
<br>
<div><b>About the job<br>
</b></div><div></div><br>
<div>We are looking for a <b>Backend &amp; Data Engineer </b>(PlayFab / Azure / BigQuery) who will own and evolve our game backend systems and data pipelines powering live operations, analytics, and business intelligence.<br>
</div><div></div><br>
<div>You&rsquo;ll work closely with the product, analytics, and LiveOps teams to ensure a reliable, secure, and efficient flow of data &mdash; from the game client to backend servers and dashboards.</div></div><div></div>

Backend & Data Engineer (PlayFab / Azure / BigQuery)

EPAM Systems

<div><p>Join our diverse team as a <b>Lead Data Software Engineer</b> and embark on an exciting journey to craft data systems and solutions.</p><p>
In this role, you'll be at the forefront of innovation, collaborating closely with our teams to guarantee flawless data integration, impeccable quality, and rock-solid security.</p><p><b>
Responsibilities</b></p><ul><li>
Design and implement data ingestion solutions using Cloud Native, Big Data related technologies (including configuration management, monitoring, debugging and performance tuning)</li><li>
Manage code review and dev testing of solutions to ensure it meets best practice specifications</li><li>
Build collaborative partnerships with data solution architects and key individuals within other functional groups</li></ul><p><b>
Requirements</b></p><ul><li>
Solid background in Software Engineering for more than 5 years</li><li>
Advance experienced in Data Software Engineering. PROD experience in building data ingestion pipelines</li><li>
Deep understanding of SQL queries, joins, stored procedures, relational schemas, and SQL optimization</li><li>
Programming Languages: Python/Java/Scala and SQL</li><li>
Cloud-Native stack: Databricks, AWS</li><li>
Big Data stack: Spark Core, Kafka, Kafka Connect, Airflow</li><li>
Motivated, independent, efficient, and able to handle several projects</li><li>
Practical experience in performance tuning, optimization, and problem analysis</li><li>
English proficiency: B2+</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Lead Data Software Engineer

Mercedes-Benz Türk A.Ş.

<div>
 &Idot;&scedil; tan&inodot;m&inodot;:
 <br/>
 <br/>
 <p>
  <strong>
   For all who keep the world moving.
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  We as Mercedes-Benz T&uuml;rk develop and produce Trucks &amp; Buses in our factories based in Istanbul &amp; Aksaray in order to shape the future of mobility. We are an important part of the production and R&amp;D network of&nbsp;Daimler Truck AG.
 </p>
 <p>
  Everything we do, contributes to a cleaner, safer, more efficient and distinctive future.
 </p>
 <p>
  We start with listening, get inspired by our differences and build to solve.
 </p>
 <p>
  We lead with the long view, progress and make a difference together!
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  Are you ready to be part of our global team to keep the world moving?
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   What You Can Expect:
  </strong>
 </p>
 <p>
  &bull; As a Data Engineer in Product Development Mercedes-Benz Trucks, you translate customer requirements into the language of product development. You are the linking pin between product development and production by ensuring that the technical scope meets the prerequisites of production.&nbsp;
  <br/>
  &bull; For all other departments along the value chain, your data a decisive basis. You create the conditions for every component, no matter how small, to find its place in the truck.
  <br/>
  &bull; As an expert in Product Data Engineering, you create the mapping of the global Mercedes-Benz Trucks product portfolio in digital data. In our team, we generate product documentation for future products, such as Zero Emission vehicles. &nbsp;
  <br/>
  &bull; In close cooperation with the designer, you create the digital structures for new technological scopes. You plan the variance of the components in the overall product, the truck. You will support the product development teams in the local and global Mercedes-Benz Trucks product projects with the creation of your documentation concepts.
  <br/>
  &bull; You are responsible for the timely and documentation-compliant data structure for all components in Chassis / Cabin. You carry out the geometric validation of the product and thus contribute to ensure the quality and consistency of the digital and physical product.
  <br/>
  &bull; For the product projects in your scope of responsibility, you execute the tracking of our Product Data Engineering content, present this in the project meetings and thus make an important contribution to ensure adherence to deadlines. You identify and analyze deviations and proactively propose remedial measures.
  <br/>
  &bull; You actively participate in the continuous development and introduction of new systems and processes in context of Product Data Engineering. &nbsp;You describe new system requirements, design their development and accompany them until to their implementation in a global context with the partners of other organizational units.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   That's Why You're a Match:
  </strong>
 </p>
 <p>
  &bull; You have successfully completed your studies with a focus on informatics, mechanical engineering, mechatronic engineering or industrial engineering
  <br/>
  &bull; You have extensive knowledge of the product development process, data engineering and commercial vehicle technology
  <br/>
  &bull; You are characterized by pronounced intercultural competence, teamwork skills and business fluent German and/or English skills
  <br/>
  &bull; You are pragmatic, communicative and convince with a confident appearance and good presentation techniques
  <br/>
  &bull; You desire to be innovative with a good sense for customer benefit
  <br/>
  &bull; You are self-employed and have a pronounced problem-solving competence
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  At Mercedes-Benz T&uuml;rk, we support diversity and advocate an equitable and inclusive corporate culture. We value the individual competencies of our colleagues because this is how we ensure the best team performance&nbsp;and thus the success of our company. We gladly accept and evaluate all applications with different age, culture, religion, gender, gender identity, sexual orientation, marital status,&nbsp;parental status and disability to support&nbsp;diversity in our team.
 </p>
 <p>
  &nbsp;
 </p>
</div>


Engineering Documentation Specialist

Explore 1210+ Data engineer in Turkey this October. Find roles across top companies and apply now to boost your career.

1210 data engineer jobs IN Turkey

Data Engineer

Data Engineer, Growth

Remote - Data Engineer Analyst

Remote - Data Engineer Analyst

Backend & Data Engineer (PlayFab / Azure / BigQuery)

Lead Data Software Engineer

Engineering Documentation Specialist