Senior Data Engineer, GCP

This is a fully remote position, open to applicants in Poland.

📋 Description

• Create and build scalable data solutions on Google Cloud Platform (GCP)

• Oversee the technical design and execution of customer data initiatives

• Comprehend both business and technical requirements and convert them into effective data architectures

• Construct and oversee ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses

• Design data models and integration workflows for both batch and real-time processing

• Work with various data types including structured, semi-structured, and unstructured data

• Choose suitable technologies based on criteria such as performance, scalability, security, and cost

• Establish data quality, monitoring, governance, and orchestration processes

• Collaborate with Data Architects, Data Engineers, DevOps teams, analysts, and client stakeholders

• Engage in the development of analytics, AI, and ML solutions where applicable

• Manage the entire data lifecycle, from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment

⛳️ Requirements

• Minimum of 5 years of professional experience as a Data Engineer – required

• Demonstrated hands-on experience in developing data solutions on GCP – required

• Familiarity with data visualization tools such as Looker, Power BI, Tableau, or QuickSight

• Experience in data modeling, orchestration, performance optimization, and large-scale data processing

• Strong Python programming skills, including the ability to build data pipelines and ETL/ELT processes

• High proficiency in SQL – required

• Experience in designing and developing cloud-based Data Warehouses and Lakehouse architectures

• Knowledge of ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms

• Understanding of CI/CD, Git, Infrastructure as Code, and production deployment methodologies

• Excellent analytical and problem-solving abilities with a keen attention to detail

• Capability to independently learn new technologies and manage multiple projects simultaneously

• Extensive experience with several GCP services including BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run, or Cloud Functions

• Fluent in English

• Practical experience with AWS or Microsoft Azure data services

• Familiarity with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks

• Experience in real-time data processing and streaming architectures

• Proficiency with Kafka or other event-driven platforms

• Understanding of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning

• Relevant GCP professional certifications

• Background in consulting or customer-facing technology projects

🏝️ Benefits

• Remote work arrangement

• Full-time employment