Senior Data Engineer

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:

• 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.