data engineer

data scientist

data analyst

backend developer

senior data scientist

data developer

Talan

<div>
 
 
 Talan &ndash; Positive Innovation
 
 
 
 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.
 
 
 
 Talan at a Glance
 
 
 
 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.
 
 
 
 Our Core Areas of Expertise
 
 
 
 
 <ul>
 <li>
 
 Data &amp; Technologies:
 
 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.
 
 
 
 </li>
 <li>
 
 
 Cloud &amp; Application Services:
 
 We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
 
 
 
 </li>
 <li>
 
 
 Management &amp; Innovation Consulting:
 
 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.
 
 
 
 
 
 
 </li>
 </ul>
 
 We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
 
 
 
 
 Job Description
 
 
 
 
 As a
 
 Backend Spark developer
 
 , 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.
 
 
 We need somebody like you to help us in different fronts:
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 
 
 WHAT WE ARE LOOKING FOR
 
 
 
 
 <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(
 
 Apache Spark
 
 )
 </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+)
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Preferred qualifications
 
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What do we offer you?
 
 
 
 
 <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
 
 private medical insurance
 
 , life insurance.
 </li>
 <li>
 Possibility to be part of a multicultural team and work on international projects.
 </li>
 <li>
 
 This is a hybrid position based in Warsaw, Poland. Relocation is mandatory.
 
 </li>
 <li>
 Possibility to manage work-permits.
 
 
 
 </li>
 </ul>
 
 If you are passionate about development &amp; tech, we want to meet you!
 
 
 
 
 
 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).
 
 
 
</div>

Junior Data Engineer  (Relocation to Poland)

Trendyol

<div><div><div>About the Team</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> 
About the Role</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">Responsibilities</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">Expected Qualifications</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">Tech Stack</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>What We Offer</div><ul><li>Hybrid working model with flexibility: 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>Customisable FlexBenefits budget: 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>Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li>Personalised training allowance and learning opportunities: 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>Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.</li><li>A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li>Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li>Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div> 
Take the Next Step</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>
 
 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.
 
 
 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.
 
 
 TOM Bank is here to change banking!
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, build, and operate
 
 data pipelines
 
 on our modern lakehouse stack
 </li>
 <li>
 Develop and maintain
 
 batch and streaming ingestion
 
 processes for mission-critical banking data
 </li>
 <li>
 Implement clean, reliable
 
 data models
 
 using the Medallion architecture
 </li>
 <li>
 Ensure pipeline
 
 performance, reliability, and observability
 
 with best practices in monitoring, testing, and lineage
 </li>
 <li>
 Support
 
 data quality
 
 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>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <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
 
 Data Engineer
 
 in high-volume data environments
 </li>
 <li>
 Hands-on experience with
 
 Spark (PySpark/Scala)
 
 and distributed data processing
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 </li>
 <li>
 Experience with
 
 object storage
 
 (S3 or compatible) and modern table formats (Iceberg/Delta/Hudi)
 </li>
 <li>
 Familiarity with
 
 Airflow
 
 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>
 
 
 
 
 
 
 
 
 Who We Are :
 
 
 
 
 
 
 As TOM,
 
 <ul>
 <li>
 Customer Passionate 💜
 </li>
 <li>
 Game Changers 🚀
 </li>
 <li>
 Smart Efficient 🤝
 </li>
 <li>
 Super Clear 😎
 </li>
 <li>
 The Dream Team 🏅
 </li>
 </ul>
 
 
 
 
 
 If you are ready to take off, join us and let&rsquo;s change the future of banking together!
 
 
 
 
 To know us better, download the link :
 
 
 https://hadigeliyorhadi.com.tr/hadi-indir
 
 
 
 
</div>

dataSpecta

<div>
 
 
 About the Role:
 
 
 
 
 
 
 At DataSpecta, we develop innovative solutions that shape the business world by unlocking the power of data. We are looking for a passionate
 
 Data Engineer
 
 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.
 
 
 
 
 
 
 Responsibilities:
 
 
 <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>
 
 
 
 
 
 Required Qualifications:
 
 
 <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>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <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>
 
 
 
 
 
 Personal Attributes:
 
 
 <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>
 
 
 
 
 
 
 Follow us:
 
 
 
 <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>

Vakko

<div>
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Strong proficiency in SQL with hands-on experience developing ETL workflows and analytical data models,
 </li>
 <li>
 Solid understanding of data warehousing, dimensional modeling, and design principles,
 </li>
 <li>
 Experience in data visualization and the ability to design clear, insightful dashboards that effectively communicate business metrics and trends,
 </li>
 <li>
 Strong skills in data cleaning, transformation, validation, and enrichment for large datasets,
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail, particularly regarding data consistency and accuracy,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience with cloud environments (especially AWS).
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain ETL processes and data pipelines, ensuring smooth, consistent, and high-quality daily data flows,
 </li>
 <li>
 Develop and maintain data models, calculated fields, KPIs, and business metrics for accurate and standardized reporting,
 </li>
 <li>
 Perform data enrichment, cleaning, validation, and transformation to improve data usability and integrity,
 </li>
 <li>
 Monitor daily data refreshes, identify missing or inconsistent records, verify critical business totals, and resolve data quality issues,
 </li>
 <li>
 Analyze internal datasets and deliver data-driven insights that support business needs and strategic initiatives,
 </li>
 <li>
 Collaborate closely with business units to understand reporting requirements and contribute to data-driven decision-making processes.
 </li>
 </ul>
 
 
</div>

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 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.
 
 
 
 
 
 
 About the Role
 
 
 
 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.
 
 
 
 
 
 
 Responsibilities
 
 
 <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>
 
 
 
 
 
 Expected Qualifications
 
 
 <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>
 
 
 
 
 
 Tech Stack
 
 
 <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>
 
 
 
 
 
 What We Offer
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 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.
 
 
 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.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 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>

OBSS

<div>
 
 
 Company Description
 
 
 
 OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 
 
 
 
 
 OBSS is looking for a
 
 Data Engineer
 
 to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 
 
 
 
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 7&ndash;8 years of experience in data engineering or large-scale data projects
 </li>
 <li>
 Design and manage scalable and resilient data pipelines using the Confluent platform
 </li>
 <li>
 Experience working in enterprise Kafka environments, preferably in regulated or large corporate settings
 </li>
 <li>
 Develop solutions for real-time data processing needs
 </li>
 <li>
 Lead performance, reliability, and scalability improvements for data flows
 </li>
 <li>
 Provide support during off-hours for critical production issues when needed
 </li>
 </ul>
 
 
 
 
 
 Qualifications / Technical Skills
 
 
 <ul>
 <li>
 Advanced knowledge of Confluent ecosystem components
 </li>
 <li>
 (Broker, Control Center, Schema Registry, Connect, Replicator, etc.)
 </li>
 <li>
 Expertise in Kafka cluster management, partitioning strategies, throughput optimization, and fault-tolerant design
 </li>
 <li>
 Strong experience with stream processing tools (Kafka Streams, ksqlDB, etc.)
 </li>
 <li>
 Deep understanding of distributed systems and event-driven architectures
 </li>
 <li>
 Proficiency in Python, Java, or Scala (advanced level)
 </li>
 <li>
 Hands-on experience with monitoring, alerting, and logging tools
 </li>
 <li>
 Strong troubleshooting skills, including root-cause analysis in complex production environments
 </li>
 <li>
 Excellent communication and documentation skills
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 Professional Growth &amp; Learning
 
 
 
 As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 
 
 
 
 
 
 Company Culture and Values
 
 
 
 We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 
 
 
 
 
 
 Benefits and Perks
 
 
 
 We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 
 
 
</div>

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