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data engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</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 data platforms and data warehouses 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>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</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 (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS 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>
Familiarity with 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>Tech Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</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>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</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.</li><li><b>Customisable FlexBenefits budget: </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.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </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.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</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

<div>
 <p>
  TOM Bank is T&uuml;rkiye&rsquo;s first game-changer digital retail bank with the vision of being the biggest in T&uuml;rkiye and among the five fintech in Europe.
 </p>
 <p>
  TOM , which reached 9 million users in a short time with the Hadi application, is under the umbrella of Ayd&inodot;n Holding which hosts strong brands such as A-101, English Home, Memorial and also includes companies TOM Bank, TOM Digital, TOM PAY, TOM Finansman.
 </p>
 <p>
  TOM Bank is here to change banking!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, build, and operate
   <strong>
    data pipelines
   </strong>
   on our modern lakehouse stack
  </li>
  <li>
   Develop and maintain
   <strong>
    batch and streaming ingestion
   </strong>
   processes for mission-critical banking data
  </li>
  <li>
   Implement clean, reliable
   <strong>
    data models
   </strong>
   using the Medallion architecture
  </li>
  <li>
   Ensure pipeline
   <strong>
    performance, reliability, and observability
   </strong>
   with best practices in monitoring, testing, and lineage
  </li>
  <li>
   Support
   <strong>
    data quality
   </strong>
   by building automated checks
  </li>
  <li>
   Collaborate with analytics, product, and engineering teams to understand data needs and deliver scalable solutions
  </li>
  <li>
   Contribute to the continuous improvement of our data environment, engineering standard
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
  </li>
  <li>
   3+ years of experience as a
   <strong>
    Data Engineer
   </strong>
   in high-volume data environments
  </li>
  <li>
   Hands-on experience with
   <strong>
    Spark (PySpark/Scala)
   </strong>
   and distributed data processing
  </li>
  <li>
   Strong proficiency in
   <strong>
    SQL
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    object storage
   </strong>
   (S3 or compatible) and modern table formats (Iceberg/Delta/Hudi)
  </li>
  <li>
   Familiarity with
   <strong>
    Airflow
   </strong>
   or similar orchestration tools
  </li>
  <li>
   Knowledge of database fundamentals, data warehousing, medallion architecture and data modeling for analytics
  </li>
  <li>
   Nice-to-have: Talend, dbt, Kafka/streaming systems
  </li>
  <li>
   Strong communication skills and the ability to collaborate with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As TOM,
 </p>
 <ul>
  <li>
   Customer Passionate 💜
  </li>
  <li>
   Game Changers 🚀
  </li>
  <li>
   Smart Efficient 🤝
  </li>
  <li>
   Super Clear 😎
  </li>
  <li>
   The Dream Team 🏅
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you are ready to take off, join us and let&rsquo;s change the future of banking together!
  </strong>
 </p>
 <p>
  <strong>
   To know us better, download the link :
  </strong>
  <u>
   https://hadigeliyorhadi.com.tr/hadi-indir
  </u>
 </p>
 <p>
 </p>
</div>


Trendyol Group

<div>
 <p>
  <strong>
   About the Team
  </strong>
 </p>
 <p>
  At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 </p>
 <p>
  We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain scalable data pipelines for batch and real-time data processing
  </li>
  <li>
   Work with data platforms and data warehouses 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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Expected Qualifications
  </strong>
 </p>
 <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>
   Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
  </li>
  <li>
   Experience with big data processing frameworks such as Apache Spark
  </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 (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
  </li>
  <li>
   Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
  </li>
  <li>
   Strong proficiency in SQL for data manipulation, querying, and optimization
  </li>
  <li>
   Experience with RESTful APIs
  </li>
  <li>
   Experience with both RDBMS 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>
   Familiarity with 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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack
  </strong>
 </p>
 <ul>
  <li>
   Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
  </li>
  <li>
   Data Integration: Kafka Connect, Debezium
  </li>
  <li>
   Data Processing: Apache Spark
  </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>
   Version Control: Git
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <p>
  A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 </p>
 <p>
  A customizable FlexBenefits budget &mdash; 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.
 </p>
 <p>
  Comprehensive wellbeing support &mdash; 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.
 </p>
 <p>
  Personalized training allowance and learning opportunities &mdash; 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.
 </p>
 <p>
  Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 </p>
 <p>
  A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 </p>
 <p>
  Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 </p>
 <p>
  Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Take the Next Step
  </strong>
 </p>
 <p>
  If this role excites you, apply now and let&rsquo;s take the next step together.
 </p>
 <p>
  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.
 </p>
</div>


Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</p><p></p><p>
What&rsquo;s in it for you?</p><p>
✨<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><p>Job Description</p><p></p><p><br>
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:</p><ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul><p></p><p><i>
Requirements</i></p><ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div><p></p>

Analythinx | The Data Science Company

<div>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
  </li>
  <li>
   5+ years of professional experience as a Data Engineer in high-volume, data-intensive environments
  </li>
  <li>
   Strong hands-on experience with Apache Spark (PySpark and/or Scala) and distributed data processing
  </li>
  <li>
   Strong proficiency in SQL, including writing and optimizing complex queries on large datasets
  </li>
  <li>
   Experience with object storage systems (S3 or S3-compatible) and modern table formats (Iceberg, Delta Lake, or Hudi)
  </li>
  <li>
   Proven experience designing, implementing, and maintaining scalable data pipelines (ETL/ELT)
  </li>
  <li>
   Experience with workflow/orchestration tools such as Apache Airflow (or similar)
  </li>
  <li>
   Familiarity with real-time data processing and streaming architectures (e.g. Kafka, Spark Structured Streaming, Flink)
  </li>
  <li>
   Solid understanding of database fundamentals, data warehousing concepts, and modern data platform patterns (e.g. medallion architecture / lakehouse)
  </li>
  <li>
   Strong communication skills and the ability to collaborate with cross-functional and client-facing teams
  </li>
  <li>
   Ability to work independently as a consultant, manage priorities, and drive tasks to completion with minimal supervision
  </li>
 </ul>
</div>


Senior Data Engineer

Talan

<div>
 <br/>
 <strong>
  Talan &ndash; Positive Innovation
  <br/>
  <br/>
 </strong>
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
 <br/>
 <br/>
 <strong>
  Talan at a Glance
  <br/>
  <br/>
 </strong>
 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
 <br/>
 <br/>
 <strong>
  Our Core Areas of Expertise
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Data &amp; Technologies:
   </strong>
   We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
   <br/>
   <br/>
   <br/>
  </li>
  <li>
   <br/>
   <strong>
    Cloud &amp; Application Services:
   </strong>
   We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
   <br/>
   <br/>
   <br/>
  </li>
  <li>
   <br/>
   <strong>
    Management &amp; Innovation Consulting:
   </strong>
   We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
  <br/>
  <br/>
 </strong>
 <strong>
  Job Description
  <br/>
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Backend Spark developer
 </strong>
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
 <br/>
 <br/>
 We need somebody like you to help us in different fronts:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
  </li>
  <li>
   You will use Scrum methodology, and be part of a high performance team
  </li>
  <li>
   You will document your solutions in the tools: JIRA, Confluence, ALM
  </li>
  <li>
   You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
  </li>
  <li>
   You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
  </li>
  <li>
   You will collaborate with cross-functional and cross-country teams to integrate data from various sources
  </li>
  <li>
   You will  develop and maintain data hub and data pipelines in microservices architecture
  </li>
  <li>
   You will collaborate with other developers to maintain and improve CI/CD pipelines
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <br/>
 <br/>
 <strong>
  WHAT WE ARE LOOKING FOR
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science or a related field.
  </li>
  <li>
   1+ years of experience in data/software engineering (preferable in banking)
  </li>
  <li>
   Experience with Integration Solutions (using API and Microservices)
  </li>
  <li>
   Programming backend applications with BigData technologies(
   <strong>
    Apache Spark
   </strong>
   )
  </li>
  <li>
   Agile approach for software development
  </li>
  <li>
   Continuous Integration (Git, GitHub)
  </li>
  <li>
   Knowledge of SQL databases
  </li>
  <li>
   English (at least B2+)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <u>
  Preferred qualifications
  <br/>
  <br/>
  <br/>
 </u>
 <ul>
  <li>
   Git hub actions
  </li>
  <li>
   Scala or Python
  </li>
  <li>
   Bash scripting
  </li>
  <li>
   ControlM, AirFlow
  </li>
  <li>
   Software development life cycle (HP ALM,..)
  </li>
  <li>
   Basics of cybersecurity &amp; Quality (sonar&hellip;)
  </li>
  <li>
   Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
  </li>
  <li>
   SOA Architecture
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <strong>
  What do we offer you?
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full-time contract.
  </li>
  <li>
   Smart Office Pack so that you can work comfortably from home.
  </li>
  <li>
   Training and career development.
  </li>
  <li>
   Benefits and perks such as
   <strong>
    private medical insurance
   </strong>
   , life insurance.
  </li>
  <li>
   Possibility to be part of a multicultural team and work on international projects.
  </li>
  <li>
   <strong>
    This is a hybrid position based in Warsaw, Poland.  Relocation is mandatory.
   </strong>
  </li>
  <li>
   Possibility to manage work-permits.
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  If you are passionate about development &amp; tech, we want to meet you!
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 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
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Junior Data Engineer  (Relocation to Poland)

Concentrix

<div><div><div><p><b>Information Technology
</b></p></div><div><div><div><b>Location</b></div>
<div>&#304;stanbul, T&uuml;rkiye
</div></div><div><div><b>Language</b></div>
<div>English
</div></div></div><div></div><div><div>
</div><h2 class="jobSectionHeader"><b>Summary</b></h2>
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world&rsquo;s best brands, today and into the future. We&rsquo;re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we&rsquo;re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Catalyst team is the driving force behind Concentrix&rsquo;s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we&rsquo;re proud to be recognized with awards such as &quot;World's Best Workplaces,&quot; &ldquo;Best Companies for Career Growth,&rdquo; and &ldquo;Best Company Culture,&rdquo; year after year. Join us and be part of this journey towards greater opportunities and brighter futures.<h2 class="jobSectionHeader"><b>
Description</b></h2><div>
We&rsquo;re seeking a senior <b>Cloud Solution Architect (CSA)</b> with deep expertise in SQL, Azure SQL and Power BI. In this customer-facing role, you&rsquo;ll lead strategic technical engagements, advise IT and business leaders, and shape cloud strategies that drive innovation and business value. You&rsquo;ll guide customers through architecture design, deployment, and operational excellence&mdash;helping them scale AI solutions and modernize their data ecosystems on Microsoft Azure.</div><p><b>
Responsibilities:</b></p><ul><li>
Build trusted relationships with IT and business leaders to shape their cloud data strategy, emphasizing SQL-based analytics and reporting.</li><li>
Lead architectural design sessions to implement secure, scalable data solutions using Azure SQL Database, Azure Synapse, and Power BI.</li><li>
Design and deploy end-to-end data architectures that integrate structured and unstructured data sources using Azure SQL and Microsoft Fabric.</li><li>
Develop enterprise-grade dashboards and reports in Power BI, enabling data-driven decision-making across business units.</li><li>
Implement data governance frameworks with Azure Purview, ensuring proper cataloging, lineage, and classification of SQL-based assets.</li><li>
Guide customers in optimizing SQL workloads and integrating Power BI with Azure SQL for real-time analytics and visualization.</li><li>
Lead technical workshops and proof-of-concepts focused on SQL performance tuning, Power BI modeling, and Azure data services.</li><li>
Provide strategic guidance on data modernization, including migration from legacy SQL systems to Azure SQL and Synapse.</li><li>
Resolve technical blockers related to SQL query optimization, Power BI integration, and Azure resource configuration.</li><li>
Inspire innovation by helping customers leverage SQL and Power BI to unlock insights and accelerate their cloud transformation.</li></ul><p><b>
 Qualifications:</b></p><ul><li>
10+ years of experience in data engineering, analytics, or cloud solution delivery with a strong SQL foundation.</li><li>
Deep expertise in Azure SQL Database, Power BI, and Azure Synapse Analytics.</li><li>
Proficient in writing complex SQL queries, optimizing performance, and designing relational data models.</li><li>
Demonstrated success in building scalable Power BI solutions integrated with Azure SQL and other cloud data sources.</li><li>
Experience with ELT/ETL pipelines, data lake architecture, and real-time analytics using SQL-based tools.</li><li>
Familiarity with Azure Purview, Microsoft Fabric, and Databricks is a plus.</li><li>
Excellent communication and stakeholder engagement skills across technical and business audiences.</li><li>
Microsoft Certified: Azure Data Engineer Associate or equivalent certifications preferred.</li><li>
Fluent in English and Turkish.</li></ul></div></div></div><p></p>

SQL/Azure SQL Solutions, Cloud Solution Architect

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