Salary & Benefits: £54,342 - £60,139 base salary, plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working. Working for Lloyds is great!
Who are Lloyds Banking Group?
Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people over the next three years
Who are the Chief Data Office?
CDO brings together Data Engineering, Data Science, Business Intelligence (BI) and Agile Delivery to build data solutions in areas such as customer segmentation, pricing, customer experience, credit decisioning, commercial performance and fraud detection. They are also driving a more sophisticated approach to how they produce and distribute BI to enable more data-led decisions and help LBG achieve its ambition to be a truly data driven bank.
Joining as Database Administrator within the Data Engineering team you could have a very bright future at the cutting edge of data-led innovation.
With skills spanning across data mining/analysis/modelling and a mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work on a vast range of high-profile projects providing you with horizon-expanding exposure to a host of wider technologies and careers in data.
So what exactly would you be responsible for?
You'll be part of a cross-functional team, working alongside the business, product owners, data scientists, machine learning engineers and Business Intelligence specialists to solve some of the Bank's toughest business problems.
You'll be responsible for pro-actively administering our BI Marketplace data layers hosted within an Azure SQL Server Environment, working with our team of engineers to ensure we're benefiting from the latest features and technologies.
Specifically, tasks include:
Managing and updating SQL Server Environment 2017
Proactively forecasting capacity planning and backup/scheduling.
Advising index usage including column store
Implementing and advising on usage of load balancing across virtual machines
About you as a Person: You're the sort of confident data professional we're looking for - You're passionate about data with an aptitude for solving problems. You are a good communicator and comfortable working effectively with technical and non-technical audiences. Also, you'll have the imagination we actively encourage to innovate and help create a truly market-leading data and analytics function.
Your background from a Technical Perspective:
You'll need to have developed a depth of knowledge around standard data management practices, a passion delivering an excellent service and pro-active in resilience and capacity planning.
We like people who come from diverse backgrounds in the field of data as it makes us stronger as a team to have people looking at problems from different perspectives. As a minimum we do need to see experience of the following for serious consideration:
Prior background as a SQL Database Administrator or similar role.
Technical proficiency using SQL Server, ideally 2017. Administering, optimizing and access control of large multi-terabyte production database.
Implementing and advising on column store and index usage (ideally within Kimball dimensional data structures).
Utilising load balancing and storage across multiple virtual machines.
Master Data Services exposure would be an advantage, but please apply even if you don't have it!
What would you get in return? We'll give you stretch as well as an energising and informal environment. You'll realise genuine career progression opportunities gained within a nurturing culture that celebrates both diversity and equal opportunity.