Data Analytics Engineer SQL in London

Data Analytics Engineer SQL in London

London Full-Time No working from home possible
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Why join usJoining Sainsbury's Tech as a Data Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers who are empowered to define and deliver through the use of technology. With a focus on continuous improvement and technical excellence, you will have the opportunity to shape our engineering vision, drive the adoption of best practices, and work with cutting-edge technologies. Not only will you contribute to innovative solutions that impact millions of customers, but you will also be part of a progressive community that fosters growth, collaboration, and the advancement of engineering expertise. We use a variety of tech here and you need to be willing to pick up new tools and techniques. You'll constantly strive to improve the way things are done in your team, contributing as a progressive member of the engineering community. We are looking for an experienced Data Engineer confident in investigating, ingesting and exploiting large datasets with core skills in SQL, Python, Azure and CI/CD. We're on a mission to use this data better than anyone else. Key Responsibilities· Work with various data squads at Sainsbury's to ensure the right data is available for teams to build fantastic products.· Design, implement, and maintain scalable Data pipelines (CI/CD).· Automate the end-to-end workflow, from data ingestion, testing, deployment, and monitoring.· Build infrastructure to monitor model performance, data drift, and other key metrics in production.· Building relationships with your colleagues – mentoring them, and teaching things you've learned· Partnering with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data productsEssential CriteriaRequired:· Strong skills in SQL; Proficiency in SQL and NoSQL databases.· Familiarity with cloud platforms (AWS, Azure).· Experience with data quality and observability platform (e.g. Soda.io, BigEye)· Understanding of monitoring and logging tools (e.g., Preferred:· Prior experience deploying Data pipeline in production environments.· Knowledge of infrastructure-as-code tools like Terraform or CloudFormationSame Posting Description for Internal and External CandidatesBenefitsColleague discount across our multi-brands – Sainsbury's, Argos and HabitatHoliday allowanceBonus schemePension planFlexible / Smarter working policySpecial offers on gym memberships, restaurants, holidays, retail vouchers and moreWe are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. We'd all like amazing work to do, and real work-life balance. The level of data, transactions and variety it involves. Then you'll realise that ours is a modern software engineering environment because it has to be. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech.

Data Analytics Engineer SQL in London employer: Sainsbury's Bank

As a Programme Manager at our company, you'll be part of a dynamic and inclusive team dedicated to driving large-scale transformation initiatives within the logistics sector. We pride ourselves on fostering a supportive work culture that prioritises employee development, offers flexible working arrangements, and provides an extensive range of benefits including generous discounts, performance-related bonuses, and comprehensive healthcare options. Join us to not only advance your career but also contribute to meaningful projects that impact millions of customers every day.

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Contact Details:

Sainsbury's Bank Recruitment Team