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 Responsibilities Design, develop, test, and maintain data ingestion pipelines and processes Contribute to improving the data asset factory and services provided to internal consumers Build resilient, fault-tolerant, and modular data pipelines Optimise pipelines for performance, stability, and traceability Collaborate across teams to ensure smooth transition between ingestion, consumption, and activation Research and implement new tools, methods, and best practices to improve data products Support documentation, reporting, and knowledge sharing Mandatory Skills (Must-Have)⚠️ Profiles without these skills will not be considered Azure Data Factory (ADF) – hands-on pipeline development Azure Databricks – notebooks, jobs, clusters Apache Spark / PySpark Python SQL Experience building ETL / data ingestion pipelines Azure storage: Data Lake / Blob Storage / Azure SQL Nice to Have Experience with Delta Lake (Apache Delta) and Parquet Knowledge of data warehousing and data modelling Awareness of data security, governance, and compliance Experience with other Azure services (Functions, Logic Apps, Event Hubs) Background in financial or enterprise data environments What We Offer 100% remote work from Poland Long-term engagement Work on a modern, enterprise-scale data platform Collaboration with senior engineering teams 📩 Interested? send your CV to:[email protected]