As a Data Engineer, you will work independently to engineer and orchestrate complex data flows and pipelines in a cloud environment. You will design high-quality, repeatable codebases to integrate disparate data sources, removing manual preparation for end-users and enabling performant analytical insights and scientific research.
Key Responsibilities
Data Architecture: Create data architectures for data lakes and analytical platforms, specifying structures based on technical requirements.
Pipeline Engineering: Develop and maintain big data pipelines and orchestrate data flows using a progressive tech stack.
Modeling & Troubleshooting: Build logical and physical data models and troubleshoot complex data processing issues.
Strategy & Innovation: Develop strategies for data acquisition and democratization while using best practices to improve existing products and services.
Leadership: Lead specific project steps, act as a technical resource for colleagues, and potentially manage a small team of junior associates.
Requirements
Expertise: In-depth knowledge of Data Engineering with the ability to solve complex problems from a new perspective.
Independence: Proven ability to work with minimal guidance and manage projects from end-to-end.
Influence: Strong communication skills to influence policies and procedures outside of your immediate job area.
Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application.
Candidates must be eligible to live and work in the UK.
For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
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