Data Engineer

• Design, build and shape scalable data platforms
• Make architectural decisions and take ownership of platform outcomes
• Structure Databricks platforms using Delta Lake, Unity Catalog and governance practices
• Orchestrate data workflows and structure code and deployments
• Build and maintain data pipelines from ingestion to consumption
• Develop data solutions using Python, SQL and cloud platforms
• Provide technical leadership and guide decisions between technology and business
• Review work, share knowledge and raise the capability of colleagues
• Work directly with clients to deliver real business value from data platforms
• For candidates new to Databricks, complete a supported 7-month crash course involving certifications, client project work and internal knowledge-sharing, transitioning to a permanent contract upon agreed milestones

Senior - Principal Data Engineer

• Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions
• Build systems that generate and use embeddings from images, video, text, and audio at massive scale
• Evaluate models and technologies while balancing cost, latency, and quality
• Move promising search approaches from experiments into reliable production systems
• Shape problems, gather requirements, design architecture, write code, release features, measure outcomes, and iterate
• Inspect retrieval and ranking stages to identify and fix relevance issues
• Build and test multimodal embedding pipelines
• Collaborate with Data Insights on datapoint definitions, coverage, and data-quality requirements
• Test reranking models against real customer queries and assess relevance, latency, and inference cost
• Review production metrics, investigate regressions, and determine whether fixes belong in models, data, query logic, or product
• Collaborate with Data Core, Data Insights, product teams, customers, and company leadership
• Participate in intro, coding, system design, team, and CEO culture/alignment interviews

Senior Software Engineer – Data Search

• Develop and execute the organization’s data strategy and architecture aligned with business objectives
• Translate business requirements into scalable data architecture, models and technical specifications
• Design and manage data models, metadata, lineage and data catalogs
• Architect and integrate batch and real-time data pipelines across diverse sources and platforms
• Establish and enforce data governance, quality, security, privacy and regulatory standards
• Design and deploy scalable cloud and hybrid data platforms, optimizing performance and cost
• Implement data profiling, validation, cleansing and lifecycle management processes
• Monitor, troubleshoot and optimize data platforms, pipelines and infrastructure
• Collaborate with business leaders, engineers and data scientists to deliver data solutions
• Lead data architecture initiatives and mentor teams on standards, tools and best practices
• Evaluate emerging data, cloud, big data and AI technologies and recommend relevant solutions
• Provide expert services remotely while integrated into the company team collaborating closely with a major client’s on-site IT team

Data Architect

• Own and continuously improve Creditstar's data platform on AWS and Snowflake, keeping it reliable, performant, and scalable.
• Strengthen platform performance, security, secrets management, and observability across the data stack.
• Track and optimize Snowflake and AWS spend and lead FinOps practices within the data team.
• Advance data governance through data ownership, access and PII controls, data lineage, and audit readiness in line with GDPR and internal policies.
• Define and uphold engineering standards for testing, versioning, code reviews, CI/CD, and Git-based workflows.
• Own the integration layer connecting internal and third-party data sources.
• Lead responses to data platform incidents through durable fixes.
• Work with DevOps on underlying infrastructure by setting requirements and reviewing solutions.
• Support BI Engineers, Analysts, and Data Scientists with a governed, documented, self-serve platform.

Senior Data Platform Engineer

• Lead a team of data engineers
• Design and own the architecture of data pipelines and platforms using Databricks, Snowflake, MS Fabric, Azure, AWS, GCP, and other cloud-native technologies
• Lead technical delivery of scalable, secure, and maintainable data engineering projects
• Define and enforce engineering best practices and coding standards
• Drive adoption of CI/CD and Infrastructure as Code
• Guide data integrations between databases, applications, APIs, and cloud platforms, including batch and real-time integration
• Mentor team members and conduct code reviews
• Act as primary technical point of contact for clients
• Lead technical workshops and present architectural decisions
• Translate complex requirements into robust, well-architected data solutions
• Progress toward the Cloud Data Platform Architect role

Data Engineer jobs in Czechia

Senior - Principal Data Engineer

Senior Software Engineer – Data Search

Data Architect

Senior Data Platform Engineer

Lead Data Engineer – Technology Consulting