... CDC. We are looking for a mid/senior Data Platform Engineer (backend) to join our team in Warsaw. Desired skills include: experience designing and maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline ...
... Python Data Engineer – Market Microstructure Analytics Location & Work Model: Wrocław-based opportunity with on-site work (full-time) Introduction: As a Python Data Engineer, you will be working at the intersection of trading infrastructure and market microstructure. You will focus on developing robust data pipelines, analytical ...
... data engineering or a related role. - Hands-on commercial experience with Databricks - this is a mandatory requirement. - Strong experience with Microsoft Azure data services, including Azure Data Lake and cloud-based data integration. - Experience with Microsoft Fabric and its data engineering capabilities. - Strong SQL skills ...
... cutting-edge technologies that shape the world of the future. We are looking for a Data Engineer to join a client project focused on building and optimizing modern data platforms on Azure and Databricks. The role involves designing, developing, and maintaining scalable data pipelines, processing large volumes of data, and supporting ...
... data engineering or a related role. - Hands-on commercial experience with Databricks - this is a mandatory requirement. - Strong experience with Microsoft Azure data services, including Azure Data Lake and cloud-based data integration. - Experience with Microsoft Fabric and its data engineering capabilities. - Strong SQL skills ...
... Data Engineering, DevOps, Cloud Platforms, and AI-powered development. Qualifications Experience working in Data Engineering, Platform Engineering, DevOps Engineering, Cloud Engineering, or a similar technical discipline. Excellent communication and stakeholder management skills. Strong hands-on experience with Databricks, ...
... Streaming Data systems. NOTE: This opportunity is available on either a full-time (FTE) or contractor basis. Who we need... - 5+ years of experience serving as a data engineer or in a comparable engineering capacity - Strong skills with Python or a JVM language (Java, Scala) - Advanced working SQL knowledge and experience working ...
A leading financial services company seeks a Snowflake Data Engineer for a full-time remote position. The ideal candidate will have 7 to 10 years of experience, strong programming skills in Snowflake and Python, and expertise in SQL and ETL processes. Responsibilities include collaborating with teams, gathering client requirements, ...
... individual(s) in the role of Data Modelling will be responsible for modelling data within specific Businesses, Functions and/or Geographies and will work with the Data CIOs and Data Officers and their respective teams as needed. The Role The data modeler designs, implements, and documents data architectures and data models for ...
... B2B Rate: €30-50/h (flexible, depending on experience) Start: ASAP Duration: long-term Requirements Must-have: 4+ years of commercial working experience as a Data Engineer. Deep expertise in the AWS tech stack (Glue, DMS, Redshift, S3) proven by experience in previous commercial projects. Strong proficiency in Python, Scala, ...
... B2B Rate: €30-50/h (flexible, depending on experience) Start: ASAP Duration: long-term Requirements Must-have: 4+ years of commercial working experience as a Data Engineer. Deep expertise in the AWS tech stack (Glue, DMS, Redshift, S3) proven by experience in previous commercial projects. Strong proficiency in Python, Scala, ...
... architectures, breaking them down into concrete data pipelines, models, and interfaces - Engineer data solutions across hybrid environments - Build and operate data components spanning on-premise systems and cloud platforms with secure, reliable data flows - Work in a Data Mesh/Data Product setup - Contribute to data products ...
... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... identify risk areas, and turn ambiguous data requirements into robust, maintainable systems. Requirements What sets you apart: 5+ years of hands-on software engineering experience, with significant depth in Go building production backend services. Proven experience designing and operating high-throughput, data-intensive ...
A global consulting firm based in Warsaw is seeking an experienced data engineer to design and maintain data pipelines. The candidate will be responsible for integrating data from various sources, ensuring data quality, and optimizing processing for efficiency. Qualifications include strong Python and SQL skills, familiarity ...
... - Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: Job Family Group: Data Governance Job Family: Data Governance Foundation Time Type: Full time Primary Location Full Time Salary Range: 151920,00zł - 258680,00zł Most Relevant Skills Data Governance, Data Management, ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
... data for Data Science teams. Implement ingestion and processing pipelines for LLM-based applications. Manage embedding pipelines and integrations with vector databases. Support RAG architectures from a data engineering and infrastructure perspective. Monitoring, Reliability & Performance Implement monitoring, alerting, ...