Senior Data Engineer

Proxify β€’ Time zone: CET (+/- 3 hours)

Company

Proxify

Location

Time zone: CET (+/- 3 hours)

Type

Full Time

Job Description

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. πŸ™‚

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.

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.

Apply Now

Date Posted

11/19/2025

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