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gravity9

Modernizes legacy systems with AI-driven microservices

Senior Data Engineer

Data EngineeringUpdated on Nov 15
ContractNo salary listedIn-person

About the Job

Requirements

  • Experience designing, building, and operating data ingestion and orchestration pipelines in Azure Data Factory.
  • Experience developing ETL/ELT in Azure Databricks using a medallion architecture to support analytics, reporting, and AI.
  • Ability to apply data governance, security, and access controls in accordance with client classification and residency requirements.
  • Ability to use AI-assisted development tools responsibly without compromising quality or security.
  • Ability to communicate progress, open items, and issues to stakeholders, including management.

Responsibilities

  • Work in Agile teams to deliver the committed backlog against acceptance criteria.
  • Design, build, and operate ingestion and orchestration pipelines in Azure Data Factory.
  • Develop ETL/ELT in Azure Databricks using a medallion architecture to deliver trusted data for analytics, reporting, and AI.
  • Lead code reviews and set engineering standards; participate in estimating, planning, testing, deployments, and documentation.
  • Shape data architecture decisions, including metric definitions, semantic models, and data that serves AI agents.
  • Apply data governance, security, and access controls in line with client classification and residency requirements.
  • Use AI-assisted development tools responsibly to accelerate delivery without compromising quality or security.
  • Communicate progress, open items, and issues to stakeholders, including management.
  • Stay abreast of relevant technology developments.

About the Company

gravity9

Modernizes legacy systems with AI-driven microservices

Gravity9 helps organizations move from old legacy systems to agile, AI-enabled cloud solutions built on microservices and micro-UI architectures. It modernizes the infrastructure by rewriting or wrapping legacy functions into modular services and dynamic interfaces deployed in the cloud, with AI to improve decision-making and efficiency. The company differentiates itself by combining application modernization with AI integration and cloud optimization, plus a collaborative, client-aligned approach. Its goal is to reduce technical debt, improve operational performance, and support long-term growth with adaptable, future-ready systems.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Birmingham, United Kingdom
Founded
2018

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