Data Engineer

We are seeking a Data Engineer to join our Data & Analytics team, responsible for building and maintaining scalable data pipelines, data models, and cloud-based infrastructure that powers data and analytics across the organisation. YOUR CHALLENGE: Design and develop data pipelines using Python ( PySpark ) , applying best practices for performance and reliability. Ingest and integrate ( real-time , batch) diverse data sources into the data lake, ensuring data quality and accuracy. M aintain data mod els and the overall data estate codebase. Daily monitoring and o peration s on cloud data platforms (primarily Azure / Microsoft Fabric). Monitor data processes, pipelines, troubleshoot issues, and support daily data operations. Collaborate with engineers, analysts, and business stakeholders; support ad hoc data analysis requests. Drive continuous improvement through training and self-development. Any other ad hoc tasks that may be required by the business from time to time. TO DO IT, YOU WILL NEED: A Degree in IT, Computer Science, or related fields . Proven experience as a Data Engineer including designing and building scalable ETL processes for batch and real-time data lakes / warehouses. Hands-on experience with cloud data services . Microsoft Synapse and Fabric exp erience is a plus . Strong SQL skills; experience with relational databases and complex queries. Proficiency with compute tools such as Databricks or Jupyter . Experience orchestrating pipelines using ADF, Fabric Pipeline, Airflow, AWS Step Functions, or similar. Coding proficiency in PySpark , Python, Scala, or equivalent languages. Experience with CI/CD tooling: Git, Azure DevOps, Jenkins or equivalent. Familiarity with distributed systems (Kafka, Spark, Hive, Hadoop) and BI tools ( such as Power BI) is an asset. Comfortable delivering in a fast-paced, agile environment. Strong analytical and problem-solving skills. Excellent communication and team collaboration. Self-motivated with a drive for continuous learning.