SQL Database Administrator - Tesco Mobile

Tesco
Slough
2 months ago
Applications closed

Related Jobs

View all jobs

Database Administrator - DBA

MySQL Engineer / DBA

Business Intelligence Manager

Cloud Monitoring & Data Analyst

Data Analyst

Graduate Data Analyst

The following content displays a map of the job's location - Slough

Competitive with Excellent Benefits Package

Location:Slough

Closing Date:26/03/2025

Job Category:Technology

Business Unit:GB Head Office

What’s in it for you

We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to:

  • Annual bonus scheme of up to 20% of base salary
  • Holiday starting at 25 days plus a personal day (plus Bank holidays)
  • Buy holiday salary sacrifice scheme (for salaried roles)
  • Private medical insurance
  • Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution
  • Life Assurance - 5 x contractual pay
  • 26 weeks maternity and adoption leave (after 1 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
  • The right to request flexible working from your first day with us
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
  • A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online
  • Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home
  • Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds.
  • Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want

About the role

As one of our SQL DBAs within the Run and Operate chapter, you will be helping the team manage the data platforms environment in a secure and optimised manner. As a member of the team, you will be tasked with supporting the current database instances and providing resilient database solutions to the various challenges that arise using SQL Server and related technologies on a Windows platform.

The successful candidate will in the long-term help migrate solutions from on-prem to Azure. The role will include validation of planned changes to ensure that they comply with best practice and will also involve working with the Tesco Mobile Cyber Security Team.

You will be responsible for

  • Be a team player – live the Tesco Mobile values.
  • Configuration of SQL Server Instances.
  • Upgrading Instances to the latest versions (currently we are migrating all our SQL server 2012 databases to SQL Server 2019)
  • Creating Test, Pre-Prod and Prod environments.
  • Contributing to creating a coherent strategy for productionising environments.
  • Database housekeeping - working with the team in maintaining and enhancing the performance of existing databases and ensuring databases are highly available.
  • Monitoring databases and related systems to ensure optimized performance.
  • Providing guidance and assistance to Data Engineers and Data Analysts with their SQL and performance issues.
  • Database access management.
  • Database patching and DR testing.
  • Adhering to best practices in securely storing, backing up, and archiving data.
  • Documenting - requirements capture, database design, and configuration.
  • Working with third parties and vendors to raise support tickets and Changes.
  • Support the migration to public cloud-based infrastructure and services (Azure).
  • Keeping abreast of developments and best practices in database engineering.

You will need

  • Experience in database administration in SQL Server (SQL 2012, SQL 2017, SQL 2019).
  • Experience of writing T-SQL, including stored procedures, tables, triggers etc.
  • Knowledge of SQL Server tools e.g. SQL profiler.
  • SSIS (from an administration perspective).
  • PowerShell
  • Experience of configuring MS SQL for high availability and Disaster Recovery using SQL Clustering and Always-On Availability Groups
  • Practical experience in monitoring and tuning databases.
  • Understanding of database encryption.
  • Understanding of GDPR and management of data.
  • Ability to resolve data related problems.
  • Ability to communicate with both technical and non-technical people, effectively and constructively.

About us

A 50-50 joint venture between Tesco and VMO2 that was established back in 2003, Tesco Mobile has gone from strength to strength as we’ve launched into new services and markets. With more than 5 million customers, we’re the largest mobile virtual network operator in the UK.

We care for human connection and we keep our customers at the heart of everything we do, which is why we’ve embraced the Agile way of working. Agile is more than just a methodology – it’s a liberating journey that puts customers and purpose first. It empowers us to self-organise, collaborate, co-create and rapidly inspect and adapt everything we do – allowing us to respond at pace to our customers’ needs. It encourages variety of thought and enables us to thrive, both individually and collectively.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.