Dear Consultant,We are looking for an experienced Senior Data Engineer to join a large-scale data ingestion and data platform programme. You will work closely with technical leads, product owners, and cross-functional teams to design, build, and optimise near real-time data pipelines and data products used across multiple business domains.This role offers long-term stability, strong engineering challenges, and the opportunity to work on enterprise-grade data platforms.Send CV to ([email protected]) if you are interested and match the below skillsKey ResponsibilitiesDesign, develop, test, and maintain data ingestion pipelines and processesContribute to improving the data asset factory and services provided to internal consumersBuild resilient, fault-tolerant, and modular data pipelinesOptimise pipelines for performance, stability, and traceabilityCollaborate across teams to ensure smooth transition between ingestion, consumption, and activationResearch and implement new tools, methods, and best practices to improve data productsSupport documentation, reporting, and knowledge sharingMandatory Skills (Must-Have)⚠️ Profiles without these skills will not be consideredAzure Data Factory (ADF) – hands-on pipeline developmentAzure Databricks – notebooks, jobs, clustersApache Spark / PySparkPythonSQLExperience building ETL / data ingestion pipelinesAzure storage: Data Lake / Blob Storage / Azure SQLNice to HaveExperience with Delta Lake (Apache Delta) and ParquetKnowledge of data warehousing and data modellingAwareness of data security, governance, and complianceExperience with other Azure services (Functions, Logic Apps, Event Hubs)Background in financial or enterprise data environmentsWhat We Offer100% remote work from PolandLong-term engagementWork on a modern, enterprise-scale data platformCollaboration with senior engineering teams📩 Interested? send your CV to:[email protected]