Remote Senior Data Engineer — ETL & Data Warehousing

Proxify AB; Puebla de Zaragoza; Remote; MXN 700,000 - 1,100,000; Full time

Benefits offered by this job

Get paid, not played

On-time monthly payments

Predictable project hours

8-hour workdays

Flex days

Up to 24 flex days off per year

Exclusive long-term remote positions

Hand-picked opportunities

Seamless contracting process

Job summary

Proxify is seeking a Senior Data Engineer to join a client project and help design scalable data architectures, including data warehouses and data lakes, with robust ETL pipelines. You will collaborate with cross-functional teams to ensure data quality and security across diverse sources.

This role emphasizes governance, data modeling, and performance optimization, within a CET-friendly time zone. Remote, full-time opportunities are available through Proxify’s network.

Qualifications

• 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).
• 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.

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.

Skills

SQL

Python/Java

ETL

Tools

Apache Spark

Job description

Proxify is seeking a Senior Data Engineer to join a client project and help design scalable data architectures, including data warehouses and data lakes, with robust ETL pipelines. You will collaborate with cross-functional teams to ensure data quality and security across diverse sources.

This role emphasizes governance, data modeling, and performance optimization, within a CET-friendly time zone. Remote, full-time opportunities are available through Proxify’s network.