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Senior Data Engineer at Proxify AB. Location Information: Anywhere in the World. . Headquarters:. Sweden . URL:. . http://career.proxify.io. . . . The Role:. . We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.. . . . What we’re looking for:. . . . Minimum of 5 years of professional experience in Data Engineering.. . . . Proven experience designing and implementing data architectures and ETL processes.. . . . Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark).. . . . Experience with data warehouse platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake).. . . . Familiarity with cloud platforms (AWS, GCP, or Azure).. . . . Strong understanding of data modelling concepts and the ability to design effective data models.. . . . Data Governance: Knowledge of data governance principles, data quality management, and data security best practices.. . . Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.. . . . . Must-have skills:. . . . SQL. . . . Python / Java. . . . ETL. . . . . . Responsibilities:. . . . Design, implement, and maintain scalable and efficient data architectures, including data warehouses, data lakes, and ETL processes.. . . . Lead the development of robust and scalable Extract, Transform, Load (ETL) processes to ensure the seamless flow of data between systems.. . . . Collaborate with cross-functional teams to integrate data from various sources, ensuring data quality, consistency, and accuracy.. . . . Develop and implement data models to support business requirements, ensuring data is structured for optimal performance and analytical capabilities.. . . . Identify and address performance bottlenecks within the data infrastructure, optimising queries and processes for efficiency.. . . . Implement and enforce data governance policies, ensuring compliance with data privacy regulations and maintaining data security.. . . . Implement automation strategies for data processing, monitoring, and maintenance tasks, reducing manual intervention and improving reliability.. . . . . . . What we offer:. . Get paid, not played. . No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.. . Predictable project hours. . Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.. . Flex days, so you can recharge. . Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.. . Career-accelerating positions at cutting-edge companies. . Discover exclusive long-term remote positions at the world's most exciting companies.. . Hand-picked opportunities just for you. . Skip the typical recruitment roadblocks and biases with personally matched positions.. . One seamless process, multiple opportunities. . A one-time contracting process for endless opportunities, with no extra assessments.. . Compensation. . Enjoy the same pay, every month with positions landed through Proxify.. . To apply:. . https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-3.