Salary Starting from £37,999, rising to £45,163
We are seeking a talented Senior Data Engineer to join our team and contribute to the development and implementation of our University Data Hub.
What is our University Data Hub?
The University is undertaking a strategic project to enhance its Data & Insights capability – enabling the right people to access information and insights at the right time, with the right quality. We are building a brand-new University Data Hub in the AWS cloud, replacing an old on-premises solution. The UDH will transform and integrate data from various sources, including live operating data, key data snapshots, and external datasets. It will manage structured and unstructured datasets, analyse incoming data quality to inform data governance, act as a single source of truth, and support all analytics activities. It will underpin reports and dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow.
What will you do?
Develop and optimise ETL pipelines
using AWS Glue, Kinesis, and Step Functions Manage and enhance data lakes
with S3, Athena, and Lake Formation Implement robust data quality processes
using Glue Data Quality Design event-driven architectures
with EventBridge and Lambda Key Responsibilities Develop and maintain
a state-of-the-art data infrastructure Support a self-service data platform
serving over 3,500 staff Create real-time analytics solutions
to provide operational insights Build scalable data pipelines
and integrations for predictive analytics Provide leadership,
support and technical guidance to junior team members Professional Growth Opportunities Play a key role in the adoption of DataOps and MLOps methodologies Explore applications of emerging technologies in data processing Provide mentorship and technical guidance to junior data engineers This role is offered on a full time (36.5 hours per week) fixed term basis with an expected duration of 24 months. What we can offer you: a very generous employer contributory pension scheme generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
#J-18808-Ljbffr
using AWS Glue, Kinesis, and Step Functions Manage and enhance data lakes
with S3, Athena, and Lake Formation Implement robust data quality processes
using Glue Data Quality Design event-driven architectures
with EventBridge and Lambda Key Responsibilities Develop and maintain
a state-of-the-art data infrastructure Support a self-service data platform
serving over 3,500 staff Create real-time analytics solutions
to provide operational insights Build scalable data pipelines
and integrations for predictive analytics Provide leadership,
support and technical guidance to junior team members Professional Growth Opportunities Play a key role in the adoption of DataOps and MLOps methodologies Explore applications of emerging technologies in data processing Provide mentorship and technical guidance to junior data engineers This role is offered on a full time (36.5 hours per week) fixed term basis with an expected duration of 24 months. What we can offer you: a very generous employer contributory pension scheme generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
#J-18808-Ljbffr
