Data Engineer

Job Description Join a team that is transforming the future of data Are you a passionate Data Engineer ready to design the next generation of scalable data solutions? Do you thrive on turning complex business needs into elegant, automated data workflows? If so, we’d love for you to be part of our growing Data Engineering team As a Data Engineer, you will build robust data pipelines, optimize cloud infrastructure, and empower the business with reliable, insightful, and timely data. You will help shape high-impact data platforms that drive strategic decision-making across the organization. We offer an excellent benefits package and a culture built on continuous learning, innovation, collaboration, flexibility, diversity, and inclusion. With significant investment in our data ecosystem, there’s never been a better time to join us and be part of something transformational. What you will be doing: • Design, develop, and maintain scalable ETL and data pipelines using Python, SQL, and Snowflake or similar platforms.• Build efficient data ingestion, storage, and modelling solutions (including Facts/Dimensions) with strong focus on performance and cost optimization.• Write, optimize, and troubleshoot complex SQL queries for transformation, aggregation, and analytics over large datasets.• Develop cloud-native data workflows using AWS services such as S3, MSK, and Lambda.• Implement Infrastructure as Code (IaC) using Terraform for provisioning and managing AWS resources.• Create, enhance, and maintain dashboards that provide actionable business insights.• Collaborate with cross-functional teams in an Agile environment using Jira, participating in Scrum ceremonies and PI planning.• Ensure code quality through GitLab version control and CI/CD best practices.• Troubleshoot and debug issues across APIs, pipelines, dashboards, and cloud infrastructure. What we are looking for from you: Essential: • Strong hands-on experience in Snowflake or similar cloud data warehouse platforms.• Solid expertise in Python, SQL, ETL development, and data pipeline architecture.• Experience with AWS services, data workflows, and Terraform-based IaC.• Knowledge of both SQL and NoSQL databases such as PostgreSQL, MSSQL, Oracle, MongoDB, etc.• Experience creating and maintaining dashboards in Tableau or Power BI.• Strong analytical and problem-solving skills. Desirable: • Experience with DBT for data transformation pipelines.• Understanding of cost optimization and query performance tuning in cloud data platforms.• Experience working in Agile/Scrum teams. Get in touch: If you’re ready to take the next step in your Data Engineering career, our friendly and knowledgeable Talent Acquisition team would love to hear from you. Start your journey with us—choose a path where your work truly makes an impact. #LifeAtSHL #Careers #HiringDataEngineers #DataEngineeringJobs #CloudData #SnowflakeJobs #AWS #TechCareers #JobOpportunities #TransformingData About UsWe unlock the possibilities of businesses through the power of people, science and technology. We started this industry of people insight more than 40 years ago and continue to lead the market with powerhouse product launches, ground-breaking science and business transformation. When you inspire and transform people’s lives, you will experience the greatest business outcomes possible. SHL’s products insights, experiences, and services can help achieve growth at scale. What SHL can offer youDiversity, equity, inclusion and accessibility are key threads in the fabric of SHL’s business and culture (find out more about ) Employee benefits package that takes care of you and your family. Support, coaching, and on-the-job development to achieve career success A fun and flexible workplace where you’ll be inspired to do your best work (find out more ) The ability to transform workplaces around the world for others. SHL is an equal opportunity employer. We support and encourage applications from a diverse range of candidates. We can, and do make adjustments to make sure our recruitment process is as inclusive as possible.