Senior Data Engineer

Proxify; Poland; Remote; PLN 335,000 - 484,000; Full time

Benefits offered by this job

On-time monthly payments

Flexible withdrawal options

Consistent 8-hour workdays

Up to 24 flex days off per year

Job summary

A global technology recruitment company is seeking a Senior Data Engineer. The ideal candidate should have at least 5 years of experience in Data Engineering, including proficiency in SQL, Python, and ETL processes. This remote role offers flexible payment options, predictable work hours, and up to 24 flex days off annually. Candidates must be located within the CET timezone. Join us to work with exciting companies and accelerate your career while ensuring data governance and quality.

Qualifications

• Minimum of 5 years of professional experience in Data Engineering.
• Proven experience designing and implementing data architectures and ETL processes.
• Strong understanding of data modeling concepts.
• Proficiency in Python/SQL/Apache Spark
• Experience with data warehouses (Redshift, BigQuery, Snowflake)
• Cloud platforms (AWS, GCP, Azure)
• Strong data modelling, governance, quality, and security knowledge

Responsibilities

• Design, implement, and maintain scalable and efficient data architectures.
• Lead the development of robust and scalable ETL processes.
• Collaborate with cross-functional teams to integrate data from various sources.
• Develop and implement data models to support business requirements.
• Identify and address performance bottlenecks in data infrastructure
• Implement data governance policies and data security practices
• Automate data processing, monitoring, and maintenance tasks

Skills

SQL

Python

Java

ETL

Data modelling

Data governance

Data security

Cloud platforms

Tools

Apache Spark

Amazon Redshift

Google BigQuery

Snowflake

Job description

Overview

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.

Career-accelerating positions at cutting-edge companies

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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.