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

• Support a broad set of architectural needs across multiple workstreams
• Design and own the data layer behind GenAI, RAG, and Agentic AI applications
• Ensure enterprise data and knowledge are ingested, prepared, stored, governed, and made available for AI consumption and retrieval
• Own and design data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments
• Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions
• Work with structured and genuinely unstructured data across the enterprise platform
• Modernize existing data platforms and ensure implementation-ready architecture

Senior Azure Data Architect – GenAI, RAG, Agentic AI

• Design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources
• Create and maintain data models for reporting, analytics, and business intelligence, optimizing data structures for performance and efficiency
• Implement ETL processes for data transformation, aggregation, and enrichment
• Monitor and address data quality issues, implement data validation processes, and establish data governance practices
• Manage and optimize data storage, processing, and distribution systems for scalability and performance
• Collaborate with data scientists, analysts, and cross-functional teams to understand requirements and deliver business solutions
• Document data engineering processes, pipelines, and systems
• Contribute to data infrastructure development and maintenance, ensuring data reliability and availability
• Stay current with data engineering best practices and emerging technologies

Data Engineer – Data Engineering Team

• Lead the design and development of scalable, high-performance data pipelines and infrastructure powering Samba TV’s analytics
• Resolve complex technical issues across disciplines
• Lead the design, build, and maintenance of high-scale production datasets
• Ensure delivery of versioned outputs and reliable customer-facing reports
• Manage data feature lifecycles, including attributes, business logic, safe rollouts, backfills, and reprocessing
• Architect efficient data ingestion, transformation, and storage solutions
• Improve performance, reliability, security, and compute and storage costs
• Serve as technical lead for production incidents, investigate root causes, implement fixes, and validate data recovery
• Advise contacts and colleagues on complex matters
• Mentor engineers and guide development of policies and ideas
• Enhance monitoring and observability of data processes
• Collaborate with Data Science, Analytics, and Product teams on production-ready data solutions

Senior Data Engineer

• 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

• Design and implement scalable data products using Databricks, Delta Lake, and PySpark
• Build and maintain data pipelines processing complex datasets from ERP, procurement, sustainability, and external systems
• Optimize workloads for performance, scalability, and cost efficiency
• Build reusable engineering patterns
• Implement automated data quality controls throughout the data lifecycle
• Identify and resolve data issues before they impact reporting
• Implement CI/CD pipelines, automated deployments, testing frameworks, and Infrastructure as Code
• Support platform security controls and access management
• Partner with sustainability experts, business analysts, and reporting teams on requirements gathering, solution design, and production releases

Senior Data Engineer, Databricks, PySpark

• 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

• Projektowanie, rozwój i utrzymanie procesów integracji oraz przetwarzania danych w środowisku Ab Initio
• Rozwój i optymalizacja rozwiązań opartych o hurtownię danych Teradata
• Analiza wymagań biznesowych i przygotowywanie rozwiązań wspierających procesy raportowe oraz analityczne
• Współpraca z analitykami, architektami i zespołami biznesowymi przy realizacji strategicznych inicjatyw data-driven
• Dbanie o jakość danych, stabilność procesów oraz zgodność rozwiązań z wymaganiami regulacyjnymi
• Automatyzacja procesów przetwarzania i udostępniania danych
• Wsparcie rozwoju środowiska raportowego i danych

Master Data Engineer

• Support and maintain the production Data Lake, including transformations and reports hosted in Databricks
• Monitor pipeline health and investigate and resolve data issues
• Maintain and improve existing Python-based transformation logic
• Support end users and stakeholders with data-related requests and incidents
• Document changes and maintain up-to-date technical documentation for the platform

• Analyze, process, and interpret large datasets to generate actionable insights
• Develop and maintain ingestion and transformation processes
• Design data warehouse models

Data Engineer jobs in Poland