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Urgent! Middle Data Engineer Job Opening In Warsaw – Now Hiring Kyriba
It's fun to work in a company where people truly BELIEVE in what they're doing!
About Us
Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity.
As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency.
Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows.
Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy.
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Position Summary:
We are seeking a versatile and innovative Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, Machine Learning (ML), Generative AI (GenAI), Business Intelligence (BI), and automation initiatives.
The ideal candidate will have practical experience with cloud data platforms, big data processing, and a keen interest in enabling advanced analytics and automation throughout the organization.
Key Responsibilities:
Data Engineering
Design, implement, and optimize robust ETL pipelines using Databricks and AWS S3 to support analytics, ML, BI, and automation use cases.
Build and maintain data architectures for structured and unstructured data, ensuring data quality, lineage, and security.
Integrate data from multiple sources, including external APIs and on-premise systems, to create a unified data environment.
Machine Learning & GenAI
Collaborate with Data Scientists and ML Engineers to deliver data sets and features for model training, validation, and inference.
Develop and operationalize ML/GenAI pipelines, automating data preprocessing, feature engineering, model deployment, and monitoring (using tools such as Databricks MLflow).
Support the deployment and maintenance of GenAI models and LLMs (Large Language Models) in production environments.
Stay up to date on emerging ML and GenAI technologies and best practices.
Business Intelligence & Reporting
Work with BI Developers and Analysts to provide clean, reliable data sources for reporting and dashboarding via QlikView.
Enable data access and transformation for self-service BI and ensure BI solutions are scalable and performant.
Facilitate the integration of advanced analytics and ML/GenAI outputs into BI and reporting solutions.
Automation
Partner with Automation Specialists to design and implement data-driven automated workflows using MuleSoft and other platforms.
Develop and maintain automation scripts and integrations to streamline data flows, improve operational efficiency, and reduce manual effort.
Governance & Collaboration
Implement data governance, security, and compliance best practices across all data assets.
Document data flows, pipelines, and architectures for technical and business stakeholders.
Collaborate across teams (data science, BI, business, IT) to align data engineering efforts with strategic objectives.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
Proven experience as a Data Engineer or similar role.
(3+ years)
Expertise in Databricks and AWS S3; solid knowledge of big data and cloud data platforms.
Strong programming skills in Python (preferred for ML/automation), SQL, and/or Scala.
Experience building data pipelines for analytics, ML, BI, and automation use cases.
Familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch), MLOps tools (Databricks MLflow, AWS SageMaker), and GenAI libraries (e.g., HuggingFace, LangChain) is highly desirable.
Experience supporting BI/reporting solutions, preferably with QlikView or similar BI tools.
Hands-on experience with automation/integration platforms such as MuleSoft is a strong plus.
Understanding of data governance, security, quality, and compliance.
Excellent communication, collaboration, and problem-solving skills.
Nice to Have:
Experience deploying and operationalizing GenAI/LLM models at scale.
Experience with API development and integration.
Knowledge of DevOps or CI/CD pipelines for data solutions.
Relevant AWS, Databricks, or QlikView certifications.
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Unlock Your Middle Data Potential: Insight & Career Growth Guide
Real-time Middle Data Jobs Trends in Warsaw, Poland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Middle Data in Warsaw, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1634 jobs in Poland and 668 jobs in Warsaw. This comprehensive analysis highlights market share and opportunities for professionals in Middle Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Kyriba is currently hiring and seeking a Middle Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Middle Data Engineer Jobs Warsaw.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Kyriba adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Middle Data Engineer Jobs Poland varies, but the pay scale is rated "Standard" in Warsaw. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Middle Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Middle Data Engineer interview at Kyriba, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Kyriba's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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