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Senior Data Engineer (6-month contract)
Remote job · Remote · contract
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About the role
AzureETLDatabricksProduct ManagementAgile
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