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Senior Data Engineer

Europe
full_time
Europe
€55k - €80k

Role Summary

As a Senior Data Engineer, you'll be responsible for designing and maintaining scalable data architectures and efficient ETL processes. You'll collaborate with cross-functional teams to ensure data quality and integrate various data sources, directly impacting business analytics and operational efficiency. This senior role requires a strong background in data engineering and a proactive approach to problem-solving.

Benefits & Culture

Enjoy the benefits of a fully remote position with predictable working hours and a healthy work-life balance, including consistent 8-hour workdays. Proxify offers up to 24 flex days off per year and ensures timely monthly payments. The company promotes career growth by matching you with exclusive opportunities at leading companies without the typical recruitment hassles.

Full Job Description

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:SQLPython / JavaETLResponsibilities: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.

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