About the job

About us:

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

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.
• Located in CET timezone (+/- 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.

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Hand-picked opportunities, just for you

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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.Proxify