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remote - data engineer analyst

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business intelligence developer

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

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)

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

Luxoft

<div>
 <p>
  <strong>
   Project description
  </strong>
 </p>
 <p>
  We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
 </p>
 <p>
  AIP &amp; AI Enablement:
 </p>
 <p>
  Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
 </p>
 <p>
  Ground agents and logic flows using RAG (retrieval&hyphen;augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
 </p>
 <p>
  Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
 </p>
 <p>
  Collaborate with senior engineers on agent design, instructions, and evaluation using AIP's native features.
 </p>
 <p>
  End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
 </p>
 <p>
  User Engagement: Provide training and support for business teams adopting Foundry and AIP.
 </p>
 <p>
  Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
 </p>
 <p>
  Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
 </p>
 <p>
  <strong>
   Skills
  </strong>
 </p>
 <p>
  Must have
 </p>
 <p>
  Required Qualifications:
 </p>
 <p>
  10+ years of overall experience as a Data and AI Engineer;
 </p>
 <p>
  2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
 </p>
 <p>
  Strong technical skills in Python, PySpark, SQL, and data modelling.
 </p>
 <p>
  Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
 </p>
 <p>
  Ability to work independently and engage directly with non-technical business users.
 </p>
 <p>
  Strong problem-solving mindset and ownership of delivery.
 </p>
 <p>
  Preferred Qualifications:
 </p>
 <p>
  Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
 </p>
 <p>
  Exposure to AIP Evals and evaluation/test-driven approaches.
 </p>
 <p>
  Experience with integration patterns (APIs, MCP, cloud services).
 </p>
 <p>
  Consulting or applied AI/ML background.
 </p>
 <p>
  Experience in Abu Dhabi or the broader MENA region.
 </p>
</div>


Palantir Foundry Engineer

Explore 607+ Data engineer in Istanbul this November. Find roles across top companies and apply now to boost your career.

607 data engineer jobs IN Istanbul

Data Engineer

Data Engineer, Growth

Remote - Data Engineer Analyst

Remote - Data Engineer Analyst

Backend & Data Engineer (PlayFab / Azure / BigQuery)

Engineering Documentation Specialist

Palantir Foundry Engineer