Senior Data Engineer - GCP

Location: Athens, Attica, Greece, Thessaloniki, Central Macedonia, Greece

Workplace: hybrid

Employment Type: 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
• Understanding of data quality, data governance, security, and access-control principles
• Experience with Git, CI/CD, and modern software engineering practices
• Strong analytical and problem-solving skills
• Ability to work independently and take ownership of complex technical solutions
• Strong communication and collaboration skills

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

You will be a great candidate for us if you

• Have strong hands-on Data Engineering expertise and solid GCP experience
• Enjoy designing scalable and reliable data architectures
• Can take ownership of complex data engineering solutions
• Have a strong focus on data quality, performance, and maintainability
• Enjoy solving complex data and integration challenges
• Can collaborate effectively across engineering, analytics, and business teams
• Are comfortable mentoring other engineers and sharing technical knowledge

Benefits

Why join inventYOU

• Work on modern, cloud-native Data Engineering projects
• Build scalable solutions using Google Cloud Platform
• Work with modern data pipelines, architectures, and processing technologies
• Collaborate with experienced Data, Cloud, and Technology professionals
• Take ownership of technically challenging data solutions
• Continue developing your expertise in cloud and Data Engineering