Senior Data Engineer

Synechron; Kraków; On-site; PLN 150,000 - 230,000; Full time

Job summary

Synechron is seeking a Platform Design & Development expert to optimize kdb+ processes for AI Markets, delivering low-latency analytics and scalable data services. You will build analytics layers and expose data via APIs, collaborating with AI and data engineering teams to support trading and client analytics.

The role emphasizes resilience, production-grade coding practices, and partnership with traders and product owners to translate business needs into technical solutions.

Qualifications

• Strong hands-on experience with large volume datasets in production environments.
• Proven experience optimizing data queries and processes for low-latency, high-volume data.
• Solid knowledge of Unix/Linux, scripting (Bash, Python), and version control (Git).

Responsibilities

• Develop and optimize kdb+ processes for AI Markets with low-latency requirements.
• Build analytic layers consumable by APIs, AI engines, and reporting tools.
• Expose kdb+ data and analytics via APIs/services to front-ends and models.
• Collaborate with AI/data engineering to prepare datasets for training and running models.
• Ensure resilience and disaster recovery strategies for market-facing services.
• Partner with traders, sales, quants, and product owners to translate requirements into kdb+ solutions.

Skills

Large data volumes

Low-latency optimization

Unix/Linux, scripting, Git

Tools

Git

Bash

Python

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Key Responsibilities:

Platform Design & Development

• Develop and optimize kdb+ processes and queries to meet low-latency and high-throughput requirements for AI Markets use cases.
• Build analytic and aggregation layers that can be consumed by downstream systems, APIs, and AI/ML models.
• Expose kdb+ data and analytics via APIs/services to front-ends, AI engines, and reporting tools.
• Work with AI/data engineering teams to provide well-structured datasets for training and running models in AI Markets.

Performance & Reliability

• Implement monitoring, alerting, and capacity management for kdb+ environments.

PUBLIC

• Ensure resilience, failover, and disaster recovery strategies are in place for critical market-facing services.
• Partner with traders, sales, quants, and product owners to translate business requirements into technical solutions in kdb+.
• Adhere to internal policies on operational risk, model risk, and data governance, including auditability and access control. Platform Design & Development

Platform Design & Development

• Develop and optimize kdb+ processes and queries to meet low-latency and high-throughput requirements for AI Markets use cases.
• Build analytic and aggregation layers that can be consumed by downstream systems, APIs, and AI/ML models.
• Expose kdb+ data and analytics via APIs/services to front-ends, AI engines, and reporting tools.
• Work with AI/data engineering teams to provide well-structured datasets for training and running models in AI Markets.

Performance & Reliability

• Implement monitoring, alerting, and capacity management for kdb+ environments.
• Ensure resilience, failover, and disaster recovery strategies are in place for critical market-facing services.
• Partner with traders, sales, quants, and product owners to translate business requirements into technical solutions in kdb+.
• Adhere to internal policies on operational risk, model risk, and data governance, including auditability and access control.
• Contribute to code reviews, development standards, and best practices for kdb+ and related technologies.

Key Skills and Qualifications for this role

Core Skills & Experience

Technical:

• Strong hands-on experience with large volume datasets in a production environment.
• Proven experience optimizing data queries and processes for low-latency, high-volume data.
• Strong knowledge of Unix/Linux, scripting (e.g. Bash, Python), and version control (Git).

Domain

• Experience in at least one of: FX, Rates, Credit, Equities, or Commodities trading environments.
• Understanding of electronic trading, pricing, and risk concepts.

Software Engineering Practices:

• Experience with CI/CD pipelines, automated testing, and deployment of services.
• Strong debugging and problem-solving skills in production environments.
• Clear understanding of secure coding, data protection, and operational risk principles.
• Prior experience with kdb+.
• Experience supporting AI/ML or analytics platforms.
• Experience with time-series analytics, anomaly detection, or signal generation for trading or client analytics.
• Previous experience in a global investment bank or electronic trading firm.