Data Engineer – Build Scalable Data Pipelines

About the role

The Data Engineer will design, build, and optimise data integration pipelines and infrastructure to support enterprise‑wide analytics and business intelligence initiatives. You will work closely with IT and business stakeholders to deliver reliable, secure, and high‑quality data solutions.

Key responsibilities

• Design, build and optimise scalable data integration pipelines from cloud, on‑premise and API sources.
• Transform and cleanse raw data for advanced analytics and BI reporting.
• Automate manual data‑preparation tasks using modern data architectures and tools.
• Monitor system performance, troubleshoot bottlenecks and optimise workflows for efficiency.
• Implement robust data quality checks and governance standards.
• Collaborate with data scientists and analysts to support ML models and enable business stakeholders to consume data effectively.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Software Engineering or related field (Master’s preferred).
• Proven experience in data management, integration, modelling and optimisation.
• Strong track record of working with cross‑functional teams on enterprise data initiatives.
• Excellent communication skills to translate technical concepts for diverse audiences.
• High ethical standards and commitment to regulatory compliance.

Required skills

• SQL, NoSQL, PostgreSQL, Oracle
• Hadoop ecosystem, Apache Kafka, Apache Airflow, Apache Spark
• BI tools: PowerBI, Tableau, Looker
• Python, R, Databricks, TensorFlow, SAS
• Understanding of Data Warehouse, Data Lake/Lakehouse, Data Mesh, MPP engines