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 ...
... Overview of the Role As a Senior Azure Databricks Data Engineer at HCLTech, you will play a pivotal role in designing, developing, and optimizing large-scale data platforms and modern data pipelines on Microsoft Azure. This position is critical for advancing our enterprise data analytics, reporting, and business intelligence ...
... Dataflow (scio). We are looking for people who: Are programming in languages such as Scala or Java, Python Have strong understanding of distributed systems, data storage and processing framework like dbt, Spark or Apache Beam Have knowledge of GCP (especially Dataproc, Dataflow and Composer) or other public cloud environments ...
... (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 ...
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.
... an entry-level role designed to accelerate your career. In this high-impact, customer-facing position, you’ll specialise in integration, custom development, data migration, DevOps, and Veeva AI . Unlike traditional entry-level technical roles that focus heavily on testing and debugging, you will be hands-on with code and ...
... 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 ...
... 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 ...
Kingfisher is seeking a Senior Quality Engineer (Data) to join our Data Engineering team in a hybrid role based in Kraków, with 1 day per week in the office. You will drive data quality and reliability for data platforms and products, partnering with Data Engineers, Designers, and Product Owners to ensure trusted data solutions. ...
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 ...
... 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 for production readiness Requirements At least ...
... English, both written and verbal. Preferred Qualifications - Experience with Power BI including data modelling, DAX, and dashboard development. - Experience with data ingestion, ETL/ELT processes, and modern data architectures. - Understanding of data governance, master data management, and data quality frameworks. - Exposure ...
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 ...
... 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. ...
... - Communicate effectively and collaborate with business users Requirements: - Strong SQL skills, including reading and writing code - Extensive experience in data analysis, data hygienez, data quality and solution design - Minimum 10+ years of relevant professional experience - Experience working with complex requirements ...
... 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 ...
... 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 ...