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Data Engineer (GCP & GraphDB) - Mostly Remote

Engage People Recruitment

RemoteDublin, County Dublin, IrelandseniorFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering, Data & Analytics

Skills

PostgreSQLKubernetesSecurityPythonDockerDevOpsNoSQLAzureCI/CDSQLAWSGCPdbtETLGit

Description

Data Engineer (GCP & GraphDB) Mostly Remote (Must be based in Ireland) Urgent Hire Permanent A leading multinational Telecoms company are looking for a Data Engineer with strong hands-on experience with GCP, along with graph databases (e.g. Neo4j, Gremlin, Spanner) and PostgreSQL to join the team and help build scalable, reliable data platforms. What you’ll be doing - Building and maintaining data pipelines (ETL/ELT) across cloud environments - Working with large, messy datasets (structured, semi-structured, unstructured) and turning them into something usable - Designing and optimising databases (think relational + modern data warehouse setups) - Collaborating with engineers and analysts to shape data models and improve data quality - Testing pipelines, validating transformations, and making sure everything runs cleanly - Getting involved in DevOps workflows, version control, and deployment pipelines What they’re looking for - Strong SQL skills and solid database experience (relational + ideally some NoSQL) - Good Python experience for data work - Strong hands-on experience with GCP, along with graph databases (e.g. Neo4j, Gremlin, Spanner) and PostgreSQL - Hands-on experience with cloud data tools like: - GCP (BigQuery, Dataflow, dbt/Dataform) - Azure (Data Factory, Synapse, Databricks) - AWS (Glue, Lambda) - Good understanding of data modelling (star schema, etc.) - Experience working with Git and CI/CD pipelines - Strong awareness of data security, access control, and compliance Nice to have - Docker/Kubernetes experience - Experience in telecoms or similar high-scale environments - Exposure to real-time/streaming data pipelines - Any work around event-driven systems or modern data integration frameworks

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