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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

Greece WofSG

Contract Duration: 6 Months (+/- 30 days) Salary: EUR 6,626.41 (USD equivalent) &asymp; &#8378;323,800 TRY per contract Location: Cruise ships &ndash; WorldwideJob DescriptionMSC Cruises is currently looking for qualified and motivated 2nd Engineer Officers to join our Engine Department on board luxury cruise ships. You will be responsible for the safe and efficient operation, maintenance, and repair of all engine room and auxiliary systems under the supervision of the 1st Engineer and Chief Engineer.Main Duties and Responsibilities<ul><li>Operate and monitor propulsion and auxiliary machinery.</li><li>Perform preventive and corrective maintenance according to company standards.</li><li>Supervise engine ratings during duty watches.</li><li>Maintain accurate logbooks and technical documentation.</li><li>Ensure compliance with all international safety and environmental regulations (ISM, MARPOL, SOLAS).</li><li>Participate in emergency drills and safety training sessions.</li></ul>Requirements<ul><li>Valid STCW certificates and OOW Engine license or higher.</li><li>Previous experience as a 2nd Engineer or 3rd Engineer on passenger or cargo vessels.</li><li>Good command of English (spoken and written).</li><li>Valid seafarer&rsquo;s medical certificate.</li><li>Team player with problem-solving attitude and strong technical knowledge.</li></ul>We Offer<ul><li>Tax-free competitive salary (approx. &#8378;323,800 TRY per contract).</li><li>Free accommodation and meals on board.</li><li>Travel expenses covered by the company.</li><li>International and multicultural work environment.</li><li>Excellent opportunities for professional growth within MSC Cruises.</li></ul>Job Type: Full-timePay: From 324,000.00TRY per monthExperience:<ul><li>2nd Engineer Officer: 1 year (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>

2nd Engineer Officer – Cruise Liner (Engine Department)

Avesoro

<div>
 
 
 Geotechnical Engineer
 
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 Avesoro is a leading gold mining company committed to innovation, sustainability, and operational excellence. We are seeking a
 
 Geotechnical Engineer
 
 to join our team in Liberia, West Africa. This role plays a crucial part in ensuring slope stability, geotechnical analysis, and data management within our open-pit mining operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Geotechnical Data Collection:
 
 Conduct core logging, field mapping, and geotechnical data acquisition in open-pit mining environments.
 </li>
 <li>
 
 Instrumentation &amp; Data Analysis:
 
 Perform downhole geotechnical and hydrogeological instrumentation, process collected data, and review findings for decision-making
 </li>
 <li>
 .
 
 Laboratory &amp; Field Testing:
 
 Prepare laboratory samples and conduct necessary field tests to assess rock and soil properties.
 </li>
 <li>
 
 Slope Stability Analysis:
 
 Support open-pit and waste dump slope design studies, conduct limit equilibrium stability assessments using geotechnical software.
 </li>
 <li>
 
 Monitoring &amp; Evaluation:
 
 Process and evaluate slope monitoring data from prisms, inclinometers, and piezometers to ensure pit stability.
 </li>
 <li>
 
 Reporting &amp; Presentation:
 
 Prepare detailed geotechnical reports and presentations for internal teams and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in
 
 Geological Engineering
 
 or a related field.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Experience:
 
 0 &ndash; 3 years of hands-on geotechnical experience, preferably in an active open-pit mining operation.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Skills:
 
 Strong knowledge of rock mechanics and rock mass classification systems. Proficiency in MS Office applications and geotechnical software packages. Experience in slope stability analysis and limit equilibrium modeling.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills:
 
 Strong analytical and problem-solving skills. Excellent written and verbal communication in English (preferred). Ability to work effectively in a team-oriented and diverse environment.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Additional Requirements:
 
 Valid driver&rsquo;s license and ability to operate vehicles in remote areas. Willingness to work in challenging field environments, including international assignments.
 </li>
 </ul>
</div>

Geotechnical Engineer (Located in Liberia)

Calderys

<div>The Process Engineer is responsible for optimizing plant performance, with a strong focus on thermal processes, energy efficiency, and equipment reliability. Positioned at the interface between production and technical management, the role combines hands-on shop floor activities with data-driven performance analysis and digitalization initiatives.
The Process Engineer also plays a key role in supporting cultural transformation at the plant by developing operator training, building standards, and fostering a mindset of safety, quality, and continuous improvement. 
Key Responsibilities: 
Performance Monitoring &amp; Optimization
<ul><li>The Process Engineer monitors and analyzes plant KPIs such as OEE, OEI, and failure codes.
</li><li>Conducts thermal studies of furnaces and evaluates overall plant energy performance.
</li><li>Performs root cause analysis and implements corrective actions to improve process reliability.
</li><li>Leads optimization projects targeting both equipment efficiency and operational performance.
 </li></ul>Lean &amp; Continuous Improvement
<ul><li>In coordination with Opex Manager, Leads Lean initiatives such as SMED, Kaizen, and Value Stream Mapping to streamline processes and eliminate waste.
</li><li>Supports major transformation projects, contributing to a culture of operational excellence.
</li><li>Works actively on the shop floor to identify bottlenecks and implement practical solutions.
</li></ul>Digitalization &amp; Data-Driven Decisions
<ul><li>Develops and maintains performance dashboards and KPIs using corporate digital tools (e.g., Power BI).
</li><li>Translates production data into actionable insights for management and operations.
</li><li>Supports automation and robotics deployment to improve efficiency and transparency.
</li></ul>Training &amp; Change Management
<ul><li>Prepares and maintains training documentation for operators (e.g., robot operation, first-level TPM).
</li><li>Conducts training sessions to build operator capabilities and encourage a performance-driven mindset.
</li><li>Acts as a change agent to drive cultural transformation toward safety, efficiency, and ownership.
 </li></ul>Safety, Quality &amp; Standards
<ul><li>Ensures that all process improvements are aligned with safety requirements and risk reduction.
</li><li>Supports the plant&rsquo;s transition to high-end markets by improving quality standards.
</li><li>Develops, implements, and communicates operational standards across the plant.
</li>Promotes a strong culture of excellence, accountability, and teamwork. 
<li>
</li></ul>Qualifications &amp; Skills
<ul><li>Engineering degree (mandatory).
</li><li>Fluency in English, written and spoken (mandatory).
</li><li>Analytical skills with proficiency in IT tools and KPI monitoring systems (e.g., Power BI).
</li><li>Hands-on approach with the ability to work directly with production teams.
</li><li>Experience in heavy industry or large-scale manufacturing (preferred).
</li><li>Strong communication and training skills.
</li><li>Safety- and improvement-driven mindset with a focus on quality and performance.</li></ul></div> <div></div> <div></div>

Process 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>
 <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>

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></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>

Luxoft

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

Palantir Foundry Engineer

Explore 790+ Data engineer growth in Istanbul this November. Find roles across top companies and apply now to boost your career.

790 data engineer growth jobs IN Istanbul

Data Engineer, Growth

2nd Engineer Officer – Cruise Liner (Engine Department)

Geotechnical Engineer (Located in Liberia)

Process Engineer

Remote - Data Engineer Analyst

Remote - Data Engineer Analyst

Palantir Foundry Engineer