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Build and optimize data pipelines using PySpark, Azure Databricks, and Data Factory to process and store large datasets in cloud environments.
Build and maintain Oracle APEX applications and PL/SQL logic for a client’s enterprise systems in a semi-remote role.
Build and maintain ETL pipelines and SQL-based integrations for a healthcare data platform, transforming raw data into semantic models for Power BI reports.
Build and maintain data pipelines and analytics infrastructure for a banking platform, integrating transactional data into Snowflake via ODI and Kubernetes.
Build and maintain ETL/ELT pipelines with Oracle Data Integrator, write Oracle SQL/PL-SQL, and deliver clean financial data to business teams in a consulting role.
Migrate and optimize a client’s database from Oracle to PostgreSQL in the cloud, designing schemas, writing PL/SQL and Python scripts, and ensuring performance and reliability.
Israelvcforum in Łódź is seeking a PL/SQL Engineer to join a project in the banking sector. You will focus on a custom database model built on Oracle, writing SQL queries, and enhancing database performance. The ideal…
Senior data engineer builds and owns end-to-end data pipelines and warehouses for loan monitoring and servicing in a large Nordic bank, using Oracle, PL/SQL, DataStage, CI/CD and AI-assisted development.
Builds and maintains ETL pipelines and reporting solutions using Oracle, SQL Server, and Power BI for a banking-focused client.
Build and maintain ETL pipelines and data-sharing integrations using SQL Server, Kafka, and APIs to connect disparate systems and enable cross-application data flow.
Build and maintain ETL pipelines, SQL Server databases, and Kafka-based streaming integrations to enable cross-application data sharing.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Senior Python Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in finance, using Python, Spark, and Databricks to process high-volume batch and streaming data.
Builds and maintains ETL pipelines and data warehouses using SQL Server, T-SQL, Kafka, and APIs to integrate distributed systems and ensure reliable data sharing.
Builds and maintains data pipelines and reports for a banking client using SQL, PL/SQL, Oracle, Informatica PowerCenter, and Power BI.
Build and maintain data pipelines, ETL processes, and data lakes using GCP, Spark, Kafka, and SQL to ensure reliable data flow for analytics and reporting.
Senior full-stack engineer building and maintaining a risk and governance platform using Python, Node.js, and React, with a focus on security, performance, and scalable services.
Build and migrate data pipelines for AML risk-analysis systems using Python, SQL (Teradata), PySpark, and Databricks to centralize banking data and enable analytics.
Designs and leads Paymentus’s enterprise payments platform, defining scalable microservices, APIs, and data flows while mentoring engineers and translating business needs into technical solutions.
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