Data Operations Engineer

4 weeks ago

Edinburgh, United Kingdom Smart Data Foundry Full time

This role is for 12-month maternity cover
About Smart Data Foundry
Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives.

We enable the research ecosystem to flourish through the provision of research ready real financial data.

We create data-driven insights based on real financial data, that identify areas to inform policy change and enhance regulation.

This role is for 12-month maternity cover
The Data Operations Engineer provides first-line support to researchers, data scientists, and partners using our Trusted Research Environment (TRE). You will help users navigate data access, troubleshoot issues, and ensure compliance with data governance requirements whilst supporting user requests daily. As part of our growing 30-person data sharing organisation, you will have opportunities to develop new skills and take on increasing responsibility as we expand.

The role requires you to have or learn command line code skills as you work within University of Edinburgh’s private cloud environment, as the primary point of contact for users accessing financial and research data through our secure TRE. You will run, adapt, and eventually write code to perform data quality checks to ensure privacy standards are met prior to making data available to researchers in the secure environment. You will also support access and requests for safeguarded and open data across our portal, AWS, AWS, and Business Systems.

The Data Operations Engineer helps to organise, implements, and communicate the data management controls related to handling data securely, including performing quality and disclosure checks of partner data.

Respond to user queries via help-desk system
Guide researchers through TRE access procedures and data navigation
Troubleshoot data access and usability issues
Liaise with system administrators and data providers to resolve user problems
Manage and verify user permissions for key data assets and infrastructure
Data Quality & Compliance
Writing and adapting code to perform data quality checks to ensure privacy standards are met prior to making data available to researchers in the secure environment
Writing and adapting code to perform disclosure checks on any research outputs generated, prior to wider dissemination outside the secure environment
Execute data requests by running command-line scripts and queries
Run automated data quality checks using command-line tools (e.g., Assess data usability and report quality issues to users and data partners
Support secure data transfer operations within the TRE
Contribute to efficiency improvements in data ingress and egress procedures

Ability to learn and adapt to utilising UNIX command line
Ability to work in a team and problem-solve data issues
Willingness to learn data quality and management principles and routines
Ability to deal with ambiguity and react quickly in an evolving and fast paced environment.

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