Senior Data Engineer – AI Data Platform

G2i
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Independent architectural decision-making","Explaining technical tradeoffs","Hands-on builder mindset","Strong English communication"]

Build the AI data platform from the ground up, designing pipeline architecture that helps agents ingest, clean, reconcile, and structure heterogeneous company data. You’ll create semantic models and an ontology layer, operate reliable observable DAG-based workflows, and select databases, storage, and orchestration tools. Work hands-on with coding, deployment, and production operations while collaborating with product and AI engineers to set the platform’s technical direction.

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FursaFursa
G2i
G2i
5 days ago

Senior Data Engineer – AI Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build the AI data platform from the ground up, designing pipeline architecture that helps agents ingest, clean, reconcile, and structure heterogeneous company data. You’ll create semantic models and an ontology layer, operate reliable observable DAG-based workflows, and select databases, storage, and orchestration tools. Work hands-on with coding, deployment, and production operations while collaborating with product and AI engineers to set the platform’s technical direction.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build infrastructure for agents to ingest, clean, transform, and merge data from heterogeneous sources.
  • •Design semantic models and an ontology layer to provide meaning and context to company data.
  • •Design and operate reliable, observable DAG-based data workflows.
  • •Build data pipelines and transformation systems from the ground up.
  • •Evaluate and select databases, storage technologies, orchestration tools, and architectural patterns based on product requirements.

Pay and Benefits

Salary: GBP 150,000 annually
Equity and Bonus:Equity
Perks:EquityRelocation

Key Requirements

  • •5+ years of professional data engineering, backend engineering, or closely related software engineering experience.
  • •Experience building a data platform, data warehouse, or major pipeline infrastructure from scratch.
  • •Strong production-level programming skills, particularly in Python or another relevant backend language.
  • •Hands-on experience with modern ETL/ELT frameworks such as dbt or Dagster (or comparable tools).
  • •Experience deploying and operating DAG-based orchestrators such as Airflow.
Experience:5+ years
Skills:Independent architectural decision-makingExplaining technical tradeoffsHands-on builder mindsetStrong English communication
Languages:English
Tech Stack:PythonETLELTDbtDagsterAirflowDAGClickHouseDuckDBAPIsSalesforceSAPSemantic modelsOntologiesKnowledge graphsMetadata systems

Eligibility

Work Authorization:Sponsorship available.

Company Brief

G2i
G2i is a video-first hiring platform that connects companies with pre-vetted remote engineers (React, React Native, GraphQL, etc.) using technical screening, live interviews, and AI-assisted hiring infrastructure to speed hiring.
Industry: HR Tech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Miami, United States
Founded: 2016
Glassdoor
Glassdoor: 3.3
WebsiteLinkedInGlassdoor