Senior Data Engineer - GCP
The Senior Data Engineer will design, build, and optimize scalable data pipelines and architectures using Google Cloud Platform. The role involves collaborating with cross-functional teams to ensure high data quality and performance using technologies like Python, SQL, Spark, and Kafka.
- Compensation
- Not disclosed
- Location
- Athens, Attica, Greece
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Senior-level professional experience in Data Engineering
- Strong hands-on experience with Google Cloud Platform (GCP)
- Strong programming skills in Python and/or Java
- Strong experience with SQL
- Experience designing and developing ETL/ELT pipelines
- Experience with cloud-based data warehouses, data lakes, and large-scale data processing
- Experience with data modelling and database design
- Experience working with both structured and unstructured datasets
- Understanding of batch and real-time/streaming data processing
- Experience with orchestration and data workflow management
- Familiarity with Apache Spark or similar distributed data-processing technologies
- Experience with Apache Kafka or similar event-streaming technologies
- Understanding of data quality, data governance, security, and access-control principles
- Experience with Git, CI/CD, and modern software engineering practices
Nice to have
- Experience with Apache Airflow
- Experience with Infrastructure as Code, such as Terraform
- Experience with Docker and Kubernetes
- Experience building data solutions supporting BI, analytics, or Machine Learning
- Experience with data governance and metadata management
- Experience with monitoring and observability of production data pipelines
- Experience working within large-scale enterprise data environments
Full description
We are looking for a Senior Data Engineer with strong Google Cloud Platform (GCP) experience to join our team and contribute to the design, development, and optimisation of modern cloud-based data solutions.
In this role, you will design and build scalable data pipelines and data architectures, integrate data from multiple sources, and ensure high standards of data quality, reliability, and performance. You will work closely with Data Engineers, Data Scientists, Architects, and business stakeholders to deliver robust data solutions that support analytics and data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
- Build and optimise cloud-based data solutions using Google Cloud Platform (GCP)
- Design and maintain data models and data processing workflows
- Integrate structured and unstructured data from multiple sources
- Develop batch and real-time data processing solutions
- Ensure high levels of data quality, reliability, availability, and performance
- Monitor, troubleshoot, and optimise data pipelines and production workloads
- Implement automated testing and data validation processes
- Contribute to data architecture and technical design decisions
- Support data warehouse and data lake solutions
- Apply data security, governance, and access-control best practices
- Contribute to CI/CD and automation practices for data solutions
- Collaborate with Data Scientists, Analysts, Architects, and other engineering teams
- Mentor less experienced engineers and contribute to data engineering best practices
Requirements
- Senior-level professional experience in Data Engineering
- Strong hands-on experience with Google Cloud Platform (GCP) – mandatory
- Strong programming skills in Python and/or Java
- Strong experience with SQL
- Experience designing and developing ETL/ELT pipelines
- Experience with cloud-based data warehouses, data lakes, and large-scale data processing
- Experience with data modelling and database design
- Experience working with both structured and unstructured datasets
- Understanding of batch and real-time/streaming data processing
- Experience with orchestration and data workflow management
- Familiarity with Apache Spark or similar distributed data-processing technologies
- Experience with Apache Kafka or similar event-streaming technologies