At a Glance
- Tasks: Own and optimise our backend data layer for seamless digital experiences.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by enhancing data performance and reliability in exciting projects.
- Qualifications: Experience with noSQL, AWS services, and strong coding skills in TypeScript, Python, or Java.
The predicted salary is between 63000 - 77000 £ per year.
We’re looking for someone to own and operate our backend data layer and partner closely with our suppliers to deliver reliable, low-latency digital experiences (web/app), integrations, and event-driven services. You’ll be accountable for database performance, cost, security, and data modelling, and you’ll help ensure supplier platform integrations are robust, well-documented, and observable in production.
Your responsibilities:
- Own the design, operation, and continuous improvement of database tables powering fan-facing and internal services.
- Create and maintain data models aligned to access patterns (partition/sort keys, GSIs/LSIs, item design, TTL, denormalisation strategies).
- Manage capacity/performance (on-demand vs provisioned, autoscaling, hot partitions, query patterns, latency tuning).
- Drive cost optimisation (table/index efficiency, item sizing, query design, caching patterns, lifecycle/TTL).
- Implement and test resilience & recovery (PITR, backups, restores, multi-region patterns where needed).
- Own security controls (IAM least privilege, KMS encryption, access auditing, secrets management).
- Maintain platform runbooks, operational dashboards, alerting, and incident response processes.
- Own ingestion and processing patterns (e.g., webhooks, polling, event streams) and ensure data quality and traceability to support integrations.
- Build/operate server-side components around AWS: Lambda, API Gateway, SQS/SNS, EventBridge, Step Functions.
- Ensure services meet reliability goals via: observability (CloudWatch logs/metrics/tracing), performance testing, and error budgets.
- Implement CI/CD and Infrastructure-as-Code for repeatable, auditable delivery.
Essential skills/knowledge/experience:
- Strong hands-on experience with noSQL in production (data modelling, indexes, performance and cost tuning).
- Experience building backend services using AWS Lambda and/or containerised services, plus API Gateway.
- Event-driven integration experience using SQS/SNS/EventBridge (or equivalent).
- Strong observability and ops mindset: monitoring, alerting, on-call/incident handling, root cause analysis.
- Infrastructure-as-Code experience (e.g., Terraform, CloudFormation, AWS CDK).
- Confident coding ability in TypeScript/Node.js, Python, or Java.
- Excellent stakeholder skills and comfort working with an external vendor on technical delivery.
Desirable skills/knowledge/experience:
- Innovative Thinker: Thinks ahead, generates ideas, and challenges the status quo.
- Flexible Working Style: Adapts working methods to fit different business areas.
- Collaborative: Values and respects others, builds relationships, and works well in team settings.
- Results-Oriented: Gets things done, delivers to high standards, and takes responsibility.
- Strong Communicator: Possesses excellent written and verbal communication skills.
- Attention to Detail: High level of accuracy and meticulousness in all tasks.
- Organised and Proactive: Highly organised, self-sufficient, and proactive in approach.
- Analytical Problem Solver: Strong analytical skills with the ability to solve complex problems.
- Resilient and Motivated: Never gives up and is determined to find solutions to business challenges.
- Personable: Positive and outgoing, capable of working across a complex organisation and building relationships with stakeholders.
- Adaptable: Willing to support other areas outside of normal day-to-day responsibilities when needed.
- Multi-tasker: Able to handle multiple assignments and work independently.
Backend Data Engineer in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tcs Uk!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Backend Data Engineer at Tcs Uk.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tcs Uk.
✨Apply Directly through Our Website
When you find a suitable opening like Backend Data Engineer at Tcs Uk, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Backend Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tcs Uk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tcs Uk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tcs Uk
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tcs Uk!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
