Senior GCP Data Engineer

Description

The company is a global AI-first digital transformation and engineering partner with over 25 years of experience.

It has about 5,000 professionals across 16 countries and focuses on AI, data and cloud, intelligent automation, and digital products.

The CEE region has nearly 1,000 experts building applications, data platforms, and AI solutions for large clients.

The team works with AWS, Azure, GCP, Databricks, and Snowflake and places weight on knowledge sharing and growth.

Responsibilities

• Build and run scalable data pipelines on GCP.
• Develop and tune data models in BigQuery and dbt.
• Create batch and real-time data processing with Kafka.
• Keep data accurate, consistent, and dependable across pipelines.
• Help move legacy data systems to modern cloud architecture.
• Work with data architects, platform engineers, and analytics teams.
• Provide self-service data capabilities so internal users can work with data products.
• Set up monitoring, logging, and observability for data pipelines.
• Improve the performance and cost of data workloads on GCP.
• Contribute to data governance practices and data engineering standards.

Requirements

• Strong hands-on experience with BigQuery.
• Solid experience with dbt, including transformations and modeling.
• Experience with Kafka and streaming data pipelines.
• Strong skills in building batch and/or streaming pipelines.
• Very good knowledge of SQL and Python.
• Experience with cloud data platforms, preferably GCP.
• Understanding of data modeling concepts such as DWH and ELT/ETL.
• Experience in complex, multi-team environments.
• Strong problem-solving skills and an ownership mindset.
• Good communication and collaboration skills.
• Experience in cloud migration projects.
• Familiarity with orchestration tools such as Airflow or Cloud Composer.
• Experience with real-time analytics use cases.
• Exposure to self-service data platforms or data products.
• Knowledge of cost optimization in BigQuery.
• Experience in large-scale enterprise transformations.
• GCP certifications, for example Professional Data Engineer.
• Experience working in international distributed teams.

Conditions

You must work from the European Union region and hold a work permit.

The hiring process runs through CV review, an HR call, an interview, a client interview, and a decision.