Senior Data Engineer — Remote-Eligible GCP Analytics & AI

NDeavour Consulting Ltd.; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote or Hybrid Work Options

Private Health Insurance, dental care

Additional Holidays after your 1st and

5th year

Sponsored Training & Certifications

Employee Referral Bonuses

Multisport Card - fully covered

Fun Office Space with relaxation zones

Job summary

Mobile Wave Solutions in the United States is seeking a Senior Data Engineer to own a greenfield analytics platform on GCP. You will design the data foundation, build ingestion, transformation, and orchestration, and enable company-wide AI data capabilities.

You will develop data pipelines, feature stores, embeddings, governance, and secure data access for internal Claude-based agents and customer-facing insights, collaborating with the AI Systems Engineer and .NET team to ship reliable data

Qualifications

• 6+ years of Data Engineering experience, including at least one greenfield warehouse/platform build you owned end-to-end.
• Expert SQL and deep PostgreSQL experience, alongside strong experience with cloud data warehouses (BigQuery is ideal).
• Strong ELT/ETL design using dbt and a modern orchestrator (Airflow/Cloud Composer or Dagster).
• Hands-on with the GCP data stack (BigQuery, Datastream, Dataflow, Pub/Sub, Cloud Storage).
• Proficient in Python for building data pipelines and custom tooling.
• Demonstrable LLM/AI data experience: Embeddings pipelines, vector stores (e.g., pgvector, Vertex AI Vector Search, Pinecone), RAG plumbing, or feature stores feeding production ML/LLM systems.
• Strong grasp of data quality, lineage, observability, and PII data governance.

Responsibilities

• Build the Analytics Platform (Greenfield): Design and build our first analytical data platform on GCP (warehouse, ingestion, transformation, and orchestration).
• Construct Data Pipelines: Build reliable ELT/CDC pipelines from production Postgres and .NET/C# services using GCP-native tooling (Datastream, Dataflow, Pub/Sub) and dbt for transformation.
• Establish Orchestration & CI/CD: Set up workflows using Cloud Composer/Airflow or Dagster, alongside data CI/CD environments and automated testing.
• Model Data for AI & Analytics: Create dimensional models and a documented semantic/metrics layer to serve dashboards, data analysts, and internal Claude agents with unified definitions.
• Develop the AI Data Layer: Build and maintain the retrieval substrate, embeddings pipelines, and vector storage (RAG data plumbing) to keep internal and external agents grounded in fresh data.
• Own Governance & Compliance: Implement data validation, lineage, observability, and PII controls appropriate for sensitive financial, donor, payments, and cross-border tax data.
• Collaborate Across Teams: Partner with the AI Systems Engineer and the .NET backend team to instrument product events and ship customer-facing insights.

Skills

6+ years Data Engineering

SQL

PostgreSQL

dbt

Airflow

Cloud Composer

Dagster

GCP

Python

LLM data

Tools

BigQuery

Datastream

Dataflow

Pub/Sub

Cloud Storage

pgvector

Vertex AI Vector Search

Pinecone

Job description

Mobile Wave Solutions in the United States is seeking a Senior Data Engineer to own a greenfield analytics platform on GCP. You will design the data foundation, build ingestion, transformation, and orchestration, and enable company-wide AI data capabilities.

You will develop data pipelines, feature stores, embeddings, governance, and secure data access for internal Claude-based agents and customer-facing insights, collaborating with the AI Systems Engineer and .NET team to ship reliable data