Senior Data Engineer – GCP

inventYOU IT Consulting

. Design, develop, and maintain scalable data pipelines and ETL/ELT workflows .

Posted 9/18/2026full-timeAthens • GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines and ETL/ELT workflows, with a strong focus on data quality, governance, and performance. Proficient in leveraging Google Cloud Platform (GCP) and modern data processing technologies to deliver robust data solutions.

Highest-signal resume keywords

Google Cloud Platform (GCP)ETL/ELT Pipeline DevelopmentPython ProgrammingSQL ProficiencyData Quality and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingBatch and Real-Time ProcessingOrchestration and Workflow ManagementApache SparkApache KafkaCI/CD PracticesData ArchitectureData ValidationData Security

Soft Skills

Analytical SkillsProblem-SolvingCollaborationCommunicationMentoring

Tools & Technologies

GitDockerKubernetesApache AirflowTerraform

Industry Keywords

Data EngineeringData WarehouseData LakeLarge-Scale Data ProcessingData Governance

Tech Stack

Tools & technologies

AirflowApacheCloudDockerETLGoogle Cloud PlatformJavaKafkaKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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
Nice to have: Experience with Infrastructure as Code, such as Terraform
Nice to have: Experience with Docker and Kubernetes
Nice to have: Experience building data solutions supporting BI, analytics, or Machine Learning
Nice to have: Experience with data governance and metadata management
Nice to have: Experience with monitoring and observability of production data pipelines
Nice to have: Experience working within large-scale enterprise data environments
Strong hands-on Data Engineering expertise and solid GCP experience
Ability to design scalable and reliable data architectures
Ability to take ownership of complex data engineering solutions
Strong focus on data quality, performance, and maintainability
Ability to solve complex data and integration challenges
Ability to collaborate effectively across engineering, analytics, and business teams
Comfortable mentoring other engineers and sharing technical knowledge

Benefits

Comp & perks

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