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Builds and maintains data pipelines in Microsoft Fabric and Azure for a fintech client, transforming raw data into clean, auditable datasets using PySpark and SQL.
Design and implement data pipelines in Microsoft Fabric using Data Factory and PySpark notebooks for an insurance-industry project, working hybrid from Warsaw on a B2B basis.
Data Engineer designing and implementing data pipelines, PySpark notebooks, and data quality rules on Microsoft Fabric for an insurance-sector project, working hybrid from Warsaw.
ETL/Data Engineer building and optimizing data pipelines with Oracle, SQL/PL/SQL, Python, and Airflow (DAGs), deployed via CI/CD on OpenShift for PKO BP bank.
Wymagania Praktyczna znajomość ekosystemu Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory). Bardzo dobra znajomość PySpark (Python) oraz T-SQL. Doświadczenie z architekturą Medallion oraz…
Design and build scalable data pipelines on Azure Databricks and related Azure services to support analytics and reporting.
Design, build, and optimize scalable Snowflake data pipelines and multi-cloud solutions (AWS, Azure, GCP) for a pharmaceutical client, using DBT, Python, Tableau, and Terraform.
Build and optimize KDB+/q time-series databases for financial markets, creating low-latency analytics and APIs used by traders, quants, and AI models.
Senior Data Engineer on a 100% remote AML project for a financial-sector client, building and migrating ETL pipelines and data architectures using Python, SQL (Teradata), and PySpark/Databricks.
Builds and migrates large-scale financial data pipelines using Python and PySpark on Azure, designing cloud-native architectures for a global fintech infrastructure provider.
Data Engineer maintaining and evolving a Microsoft Fabric platform, building medallion-architecture (bronze/silver/gold) data pipelines using Python/PySpark and Spark SQL.
General info: Rate: 190 PLN net + vat/ hour Type of contract: B2B, long term cooperation Model of work: hybrid, 1 day per week work from office (Gdańsk/ Warsaw/ Łódź) Introduction & Summary We are seeking a skilled…
Data Engineer responsible for designing, developing, and maintaining high-performance data pipelines on Google Cloud Platform, working with real-time data processing, event-driven architecture, and infrastructure as code using Terraform and Kubernetes.
Senior Azure Data Engineer to architect a medallion lakehouse for a multitenant SaaS platform, guiding stack decisions and using AI/LLM tools for implementation rather than hands-on coding.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Python, PySpark, and GCP technologies. This role involves collaborating with cross-functional teams to automate data processes and implement modern software engineering practices.
The Data Engineer will migrate and modernize ETL processes and Oracle data structures to Azure using Microsoft Fabric. The role involves building analytical models in PowerBI, optimizing performance, and maintaining data pipelines.
As a founding data engineer, you will design and build a scalable data platform from the ground up to support mobile game analytics, LiveOps, and marketing. You will utilize technologies like Python, SQL, AWS, dbt, and Airflow to create robust data pipelines and infrastructure.
The Data Engineer will design and implement batch and streaming data pipelines, manage ETL/ELT processes, and ensure data quality. The role requires proficiency in Python, Java, or Scala, along with experience in Spark, SQL, and cloud platforms like AWS.
Designs and builds cloud-based data platforms (warehouses, lakes) using Azure tools, ensuring data quality, governance, and seamless ETL pipelines while collaborating with stakeholders to modernize legacy systems and support AI/ML use cases in sectors like retail, manufacturing, and finance.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines and data solutions within an Azure environment. The role focuses on utilizing Azure Databricks, Azure Data Factory, PySpark, and SQL to support global analytics initiatives.
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