... operations. Which technology & skills are important for us? - High knowledge of Python and SQL - Machine Learning experience Nice to have: - GCP knowledge - Data Engineering and Data Quality experience - Banking processes knowledge - German language How? Hybrid on Wersalska 6 Street (Łódź) What we offer? Of course, we ...
... Cloud Architecture or Data Migration Strong hands-on experience with Google Cloud Platform and BigQuery Proven experience migrating enterprise platforms from Teradata Experience designing Data Warehouse and Data Lake architectures Practical knowledge of Databricks and Google Cloud Dataproc Strong SQL optimization and performance ...
... with solution architects, business analysts, and key stakeholders to deliver end-to-end data platform solutions. Implement and enforce best practices around data quality, governance, security, and operational excellence. Support CI/CD, DevOps, and cloud deployment activities to ensure streamlined and automated data delivery. ...
... payroll data to ensure absolute alignment with internal policies and German regulatory standards. - Continuous Improvement: Proactively identify patterns in data errors and uncover opportunities to improve data quality, streamline workflows, and eliminate manual fixes. - Integration & System Support: Oversee and understand ...
... technicznej. • Współpraca z zespołami technicznymi i biznesowymi. • Udział w implementacji, testach oraz optymalizacji rozwiązań. Wymagania • Doświadczenie w Data Modelling oraz Solution Design. • Bardzo dobra znajomość Python. • Bardzo dobra znajomość SQL oraz relacyjnych baz danych (Oracle, PostgreSQL, MS SQL lub podobnych). ...
Dla naszego klienta - banku PKO PB poszukujemy ETL Develpera - mistrza Oracla :-) Forma współpracy: B2B Tryb pracy: hybrydowo (1xtydzień biuro Chmielna 89 Warszawa) lub zdalnie Wymagania • Umiejętność posługiwania się językami SQL, PLSQL, Transact-SQL • Doświadczenie w pracy na środowiskach/narzędziach Oracle •
... 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 ...
... experienced Data Engineer to join a data platform team delivering modern data solutions within a cloud-based ecosystem. You will be responsible for building scalable data pipelines and supporting analytics capabilities using Azure and Power BI technologies. This role combines data engineering with elements of cloud and BI, offering ...
... tests - Familiarity with using generative AI tools to assist with tasks such as creating test cases, generating test data, troubleshooting failures, or documenting technical work - An interest in learning how AI can be applied responsibly to improve software development, test automation, and quality engineering workflows
... Vilhelmsen. Primary tasks and responsibilities include: - Participate and act as a technical mentor in the tech transformation of existing solutions from legacy Data Warehouse based on Netezza/Informatica to a Databricks based platform - Develop effective end-to-end data processing flows, including various data processing ...
... efficiently Collaborate with engineering and product teams to align on integration and data needs Develop and maintain a unified internal data model Ensure data quality, detect and resolve incorrect or incomplete data Utilize AI-assisted tools to improve data quality and operational efficiency Monitor and optimize data pipelines ...
Vend in Kraków, hybrid, seeks a Staff Data Engineer to strengthen data foundations across products and teams. You will own event-driven architectures, define data contracts, and guide schema evolution with a strong emphasis on reliability and observability. You will work closely with product and platform teams to design ...
... (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 ...
Senior Snowflake Data Engineer Praca zdalna Poszukujemy Senior Snowflake Data Engineera do projektu związanego z budową i rozwojem platformy danych w środowisku Snowflake i Azure. Zakres obowiązków: Projektowanie architektury Snowflake oraz modeli danych. Tworzenie i rozwój procesów ETL/ELT oraz CI/CD. Projektowanie i wdrażanie ...
Relout poszukuje doświadczonego Java Developera / Kafka Engineera do projektu dla polskiego klienta z sektora bankowego. Zadania obejmują tworzenie backendu opartego na Javie, Spring Boot i architekturze event-driven z intensywnym użyciem Apache Kafka, Kafka Streams i kSQL.
... and maintain scalable and efficient data pipelines in Azure and Databricks Develop and optimize ETL processes using Azure Data Factory and Databricks Build Big Data solutions aligned with business requirements Collaborate with Data Science, BI, and development teams to ensure high-quality data Monitor performance of data ...
... to join the Sourcing & Procurement team in Warsaw. You will support sourcing plans, coordinate tenders, and ensure contract compliance across a UK & Ireland data centre portfolio in a hybrid Warsaw office. Key duties include supplier negotiations, performance monitoring, and cross-functional collaboration with operations, ...
... GCP, enabling scalable, secure, and cost-efficient data solutions for the wider business., You will work at the intersection of engineering, infrastructure, and data, partnering closely with Data Engineers, Data Scientists, Data Analysts, and other stakeholders to deliver a platform that supports current and future data needs. ...
... efficient data models integrating multiple sources in the form of Data Hub defining patterns, templates, and best practices for data engineering establishing data governance, access policies, and security frameworks for data layer / Data Hubs ensuring efficient storage, retrieval, and processing of large-scale datasets ...