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Senior Data Engineer (6-month contract)

Role overview

Qualifications

  • Deep experience in engineering and product management
  • Exceptional communication skills
  • Experience with Azure Data Factory and Azure Databricks
  • Knowledge of data governance and security

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
  • Lead code reviews and set engineering standards

Key facts

Hard skills

Other skills

  • Communication
  • Mentorship
  • Leadership
  • Innovation

About the company

gravity9 logo

gravity9

  • IT Services & Consulting
  • Scaleup
  • 51–200
Realising the next phase of your digital journey requires more than just great technology. At gravity9, we have a different approach. With deep experience and personality, our team of designers and engineers unite art and science, to realise the next chapter in your digital journey.

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Job description

gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, and Poland. Our team has deep experience in engineering, experience design and product management. We enjoy a challenge and pride ourselves on working with our clients on their most complex problems, finding elegant and flexible solutions that help them transform their businesses.

Role Description

We are seeking a highly motivated Senior Data Engineer to join our client's Product Development team within their Digital Practice. In this role, you will play a key part in client digital transformation journeys by delivering solutions that support decision-making, autonomous execution, and integrated operations. You will focus on productizing deep subject-matter expertise through robust data platforms and AI-enabled solutions built on Microsoft Azure. Operating within a flat, connected organization that values innovation and an entrepreneurial mindset, you will challenge existing ideas to take business outcomes to higher levels. The ideal candidate is a confident, passionate, and outcome-oriented leader with exceptional communication skills who excels at setting direction, mentoring team members, and leading directly by doing.

A successful candidate would:

·       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; take part 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

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