Cloud Data Engineer, GCP – Mid Level

Satalia

. Build and own production data pipelines and data models on GCP .

Posted 11/6/2026full-timeRemote • GreeceMid-LevelSenior💰 €1,400 - €3,400 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing production data pipelines and data models on GCP, with strong skills in SQL, Python, and data orchestration tools. Capable of designing robust ETL/ELT processes and ensuring data quality for analytics and AI workflows.

Highest-signal resume keywords

Production Data Pipeline DevelopmentSQL Data ModellingPython Software EngineeringGCP BigQuery ExperiencePipeline Orchestration with Airflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModellingETLELTDbtInfrastructure-as-CodeData Quality ChecksDistributed Data ProcessingVersion Control

Soft Skills

Clear CommunicationKnowledge Sharing

Tools & Technologies

GCPBigQueryPub/SubTerraformAirflowDockerApache SparkVector DatabasesGraph DatabasesEvent-Driven Data Processing

Industry Keywords

Data WarehouseData LakehouseMetadata ManagementAI WorkflowsCI/CD

Tech Stack

Tools & technologies

AirflowApacheAWSBigQueryDockerETLGoogle Cloud PlatformPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Build and own production data pipelines and data models on GCP
Build robust ETL/ELT pipelines that ingest, transform, and serve large datasets
Design well-documented, tested, version-controlled dbt data models
Design and operate the data warehouse/lakehouse and relational databases
Build metadata, catalogues, and embeddings for AI agents
Implement orchestration, monitoring, data quality checks, and lineage
Deliver reliable data to analytics, BI, and AI workflows
Contribute to orchestration, CI/CD, and infrastructure-as-code for the data platform
Work closely with data scientists and software engineers
Own pipelines end to end
Share knowledge with the team

Requirements

What you’ll need

4+ years building and running production data pipelines and data models
Strong SQL and data modelling; dbt or similar is a plus
Strong Python and good software engineering habits, including version control, testing, code review, and CI/CD
Experience with pipeline orchestration such as Airflow or Dagster
Production experience on GCP, including BigQuery, Pub/Sub, and IAM, or equivalent AWS services
Experience with infrastructure-as-code, including Terraform
Exposure to LLM or agentic systems, including RAG, embeddings, and tool-using agents
Clear communication and ability to write useful design documentation for product managers and engineers
Distributed data processing at scale, such as Apache Spark, is nice to have
Containers, such as Docker, are nice to have
Experience with vector databases or graph databases is nice to have
Event-driven or streaming data and real-time pipelines are nice to have

Benefits

Comp & perks

Healthcare
Remote working — café, bedroom, beach — wherever works
Truly flexible working hours
Generous leave in line with Greek Labour Law
Impactful projects focused on meaningful social and environmental change
People-oriented culture with wellbeing as a priority
Transparent and open culture
Development opportunities