Role: Data engineer- 100% RemoteLocation: Cork, Ireland (Candidate must be based in Ireland)Contract- 6 Months - view to extendWe are seeking aMid-Level Data Engineerwith strong foundational experience in building, optimizing, and maintaining scalable data pipelines. The ideal candidate will have hands-on expertise inPython,SQL, and experience or familiarity withDatabricks.You will work closely with cross-functional teams to support data-driven initiatives, including AI-related development, analytics, and CRM-based projects.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelines and data workflows.Work with Python and SQL to process, transform, and analyze large datasets.Collaborate with developers, Product Owners, and DBAs to deliver high-quality data solutions.Support projects related to AI and Generative AI, enabling data availability, quality, and model training.Develop and optimize data models, ensuring strong performance and reliability.Work within Databricks (or similar Spark-based environments) to build distributed data processing solutions.Integrate data from multiple systems, including CRM platforms like Dynamics 365 and other CRM tools.Implement best practices for data quality, governance, and security.Troubleshoot data issues and ensure the accuracy, consistency, and availability of datasets.Participate in code reviews, documentation, and continuous improvement of data engineering processes.Required Skills & Experience3–4 years of experience in Data Engineering or a related field.Strong programming skills in Python, including data-processing libraries.Advanced proficiency in SQL (writing complex queries, performance tuning, troubleshooting).Experience with Databricks or other Spark-based platforms (preferred but not mandatory).Experience building ETL/ELT pipelines and working with analytical/operational databases.Understanding of cloud data environments (Azure preferred, others acceptable).Familiarity with CRM systems; experience with Dynamics 365 is an advantage.Solid understanding of data modelling, warehousing, and workflow orchestration tools.Ability to work in cross-functional teams and communicate clearly with technical and non-technical stakeholders.