Key Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes. Develop and optimize data models, ensuring data quality, accuracy, and accessibility. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Implement best practices for data governance, performance, and security. Utilize modern cloud platforms and data technologies to support innovation. Requirements: Minimum 5 years experience as a Data Engineer, including senior-level responsibilities. Strong SQL skills and practical experience with relational and NoSQL databases. Proficiency in Azure cloud platform. Hands-on experience with tools such as Spark, Kafka, or Snowflake. Proficiency in Python, Scala, or Java for data processing. Strong problem-solving ability and effective communication skills. Whats On Offer: Competitive remuneration and benefits package. The opportunity to work within a collaborative, innovation-driven environment. Exposure to cutting-edge technologies and high-impact projects. Career development and growth within a forward-thinking organisation. Apply now!