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Data Engineer role focused on Microsoft Fabric and system integration within a Data analytics & BI team based in Łódź, requiring mid-level experience with Windows and Linux.
Brightstar Lottery is seeking a Data & Integration Engineer in Warsaw to ensure reliable data flows and integrations for new product applications. You will work closely with engineering, infrastructure, QA, and…
Builds and maintains high-performance data pipelines and event-driven systems using Node.js/TypeScript, Elasticsearch, and Kafka, ensuring scalability and cross-team integration in a production environment.
Data& Integration Engineer Location: Warsaw, PL, 00-807 Requisition ID: 19534 Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure…
Design and optimize cloud-native data pipelines on GCP for a modern Enterprise Data Platform serving a US healthcare provider, improving data quality and analytics.
Hands-on Data Engineer designing and maintaining ETL processes using SQL Server, SSIS, and Snowflake, optimizing data flows and supporting cloud-based data warehousing initiatives.
Build and maintain ELT pipelines from sources to Amazon S3 and Redshift, design data warehouse layers and dimensional models using dbt, Apache Airflow, and SQL.
Builds and maintains data pipelines on AWS, transforming raw data into analytical datasets using Redshift, dbt, and Airflow for business intelligence.
Designs and optimizes data pipelines for an AI-first platform, ensuring seamless integration of data sources while collaborating with stakeholders to mitigate risks and accelerate AI-driven projects.
Data Engineer/Analyst with a business focus responsible for gathering data requirements, creating conceptual/logical data models, and building ETL and data integration processes using SQL, Oracle, SAP BW/4HANA, and Informatica PowerCenter within VWFS's European Data & Analytics Hub.
B2B.NET poszukuje kandydatów na stanowisko Data Engineer – sektor bankowy i finansowy w kategorii Big Data / Data Science, w Warszawa. To świetna propozycja dla osób z doświadczeniem na poziomie mid i znajomością SQL,…
Senior Big Data Engineer working with large datasets and performing complex analyses for banking-sector stakeholders, using SQL, Python/Scala, Spark, Azure Cloud, Databricks, and Power BI in a hybrid role in Kraków.
Design, build, and optimize Microsoft Fabric data platforms for analytics and reporting, ingesting data, creating scalable models, and automating pipelines using SQL, Power BI, and modern data engineering practices in an Agile, hybrid setting.
Builds and optimizes scalable cloud data pipelines on Azure, focusing on Databricks, Data Factory, Synapse, and Fabric to enable analytics and collaboration with data teams.
The Microsoft Fabric Data Engineer will design, build, and optimize data platforms and Lakehouse solutions to support business analytics and reporting. The role involves leveraging Microsoft Fabric, SQL, and Power BI to automate data workflows and drive data-driven decision-making.
The Senior Data Engineer will design, develop, and maintain scalable Spark applications and data transformation workflows using PySpark and Databricks. The role involves collaborating with cross-functional teams to build AI-driven solutions for a global professional services client.
An Azure Platform Engineer maintaining and improving the Nucleus Azure platform, supporting services like Synapse, Azure SQL, Data Lake Storage, and API Management while designing secure data pipelines and APIs.
Senior Data Engineer designing and building high-volume batch and streaming data pipelines on AWS and GCP using Python, Java/Scala, Spark, Airflow, and various SQL/NoSQL databases for a travel marketplace client.
Big Data Engineer for a banking client, working with large datasets, advanced SQL, and Big Data tools like Spark, Databricks, and Azure Cloud in a hybrid Agile setup in Kraków.
Lead Data Engineer assesses enterprise data sources, designs pipelines, and validates AI use cases for Fortune 500 clients using cloud platforms like Azure and AWS.
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