Data Engineer

Role: Data EngineerExperience: 5+ yearsLocation: Stockholm, SwedenType: Full-time | Permanent position Tata consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses for the past 50 years. We believe innovation and collective knowledge can transform all our futures with greater purpose. We help companies across industries achieve their strategic goals and lead their digital transformation programs. With 600,000 experts globally and 18,000+ consultants working for leading Nordic Customers, we have a strong sense of purpose for the ecosystem around us – our employees, partners, customers and society. About the roleAre you an experienced Data Engineer who enjoys building reliable, scalable data solutions and working close to both technology and business? This is an opportunity to join a high-performing engineering environment where you will contribute to the development and maintenance of modern data pipelines across on-premise and cloud environments. In this role, you will be part of an agile squad and take an active role in developing pipelines, analyzing failures, fixing bugs, and ensuring that data flows are robust, efficient, and aligned with business needs. You will work with technologies such as PySpark, Apache Airflow, SQL, AWS Redshift, Git, GitHub Actions, JFrog, Kubernetes, DBT, CloudWatch and Redshift Console, helping to support advanced analytics and data-driven decision-making. Key Responsibilities:Design, build and maintain robust data pipelines that are scalable, efficient and aligned with business needs.Collaborate with cross-functional teams to understand requirements and translate them into effective data solutions.Ensure data quality, integrity and governance by applying best practices in data management.Develop data processes and workflows using tools such as PySpark and Apache Airflow.Support and enhance data platforms, databases and data warehouses to enable advanced analytics.Implement CI/CD pipelines using GitHub Actions and JFrog for automated deployment and version control.Troubleshoot data pipelines and resolve issues related to real-time processing, batch processing and integrations. About youWe believe you are a hands-on Data Engineer with a strong technical foundation and a genuine interest in building data solutions that create business value. You enjoy working in an agile team setup, collaborating with different stakeholders and taking ownership from development to troubleshooting and continuous improvement. You are comfortable working with complex data environments and have a structured approach to quality, performance and governance. You also enjoy solving problems, optimizing pipelines and contributing to scalable data engineering practices. Qualifications:5+ years of experience in data engineering, preferably within cloud data warehouse environments.Bachelor’s degree in Computer Science, Engineering or a related field.Strong hands-on experience with PySpark and Apache Airflow.Strong SQL skills and a deep understanding of query performance.Solid understanding of data modelling principles, including dimensional modelling, Kimball, normalized models and hybrid strategies.Experience with AWS Redshift, including WLM, distribution and sort keys, query execution plan analysis and optimization techniques.Familiarity with monitoring tools such as CloudWatch and Redshift Console.Experience with data versioning, CI/CD, Git, Kubernetes and collaborative development practices in DBT.Fluent in English (written and spoken) What we offerWellness Allowance30 Days of Annual VacationCollective Agreement with the Union CoverageCompetitive Pension Plan (ITP1)Salary Sacrifice Pension Scheme through SPPPension Advisory Services through SPPSkandia Group InsurancesAccess to the Benifex Benefits Portal with Exclusive DiscountsContinuous Learning, Training and Development OpportunitiesAccess to world-class learning platformsLong-Term Career Growth within a Global Organization Ready to make an impact?Join a company where innovation, collaboration, and continuous development are part of everyday life! You are welcome to submit your application consisting of your CV.We review applications on an ongoing basis, so submit your application as soon as possible. Would you have any questions regarding the position (please do not send any CVs -due to GDPR CVs will be deleted), please contact:Silvina.sandberg1@tcs.com We look forward to receiving your application via LinkedIn.Privacy Note: https://ibegin.tcs.com/iBegin/privacy-notice