At a Glance
- Tasks: Design and build scalable data pipelines while ensuring data quality and security.
- Company: Join a growing data function in a dynamic hybrid work environment.
- Benefits: Flexible working, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with a diverse team and tackle exciting data challenges.
- Why this job: Make an impact by enabling high-quality data for analytics and automation.
- Qualifications: Experience with ETL workflows, data integration, and database optimisation.
The predicted salary is between 36000 - 60000 £ per year.
We’re recruiting a Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation. This is an opportunity to work on modern data platforms, integrating multiple data sources and enabling high-quality, accessible data for downstream users.
The Role
- Design, build, and maintain scalable data pipelines and ETL processes
- Integrate structured and unstructured data from multiple internal and external sources
- Ensure data quality, consistency, performance, and security across platforms
- Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation
- Monitor, optimise, and troubleshoot data infrastructure and pipelines
- Produce clear documentation of data architecture and engineering processes
Key Responsibilities
- Build and manage robust data infrastructure for large-scale data ingestion and processing
- Develop automated, reliable data pipelines aligned to best practices
- Optimise ETL workflows for performance and scalability
- Implement data governance, access controls, and security standards
- Support self-service analytics by enabling clean, well-structured datasets
- Proactively identify and resolve data issues and pipeline failures
Skills & Experience
- Strong experience designing and building ETL workflows and data pipelines
- Experience integrating data from APIs, databases, and cloud services
- Solid understanding of data modelling and data warehousing concepts
- Experience with relational and non-relational databases, including performance optimisation
If you’re interested in the role, then please apply!
Data Engineer in London employer: Vivo Talent Solutions
Join a forward-thinking organisation as a Data Engineer, where you will thrive in a collaborative and innovative work culture that values your contributions. With opportunities for professional growth and development, you will work on cutting-edge data platforms in vibrant locations like London or Newcastle, enjoying the flexibility of a hybrid working model. Our commitment to employee well-being and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, pipelines, and any cool stuff you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and common data engineering questions. Practice explaining your past projects and how you tackled challenges – confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL workflows, data pipelines, and any relevant projects that showcase your skills in building scalable data infrastructure.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've integrated data from various sources or optimised data workflows. We love seeing real-world applications of your expertise.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how your experience aligns with our needs. Avoid jargon unless it's relevant to the job—clarity is key!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Vivo Talent Solutions
✨Know Your Data Stuff
Make sure you brush up on your ETL workflows and data pipeline design. Be ready to discuss specific projects where you've integrated data from various sources, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Whether it’s optimising a slow pipeline or ensuring data quality, having concrete examples will demonstrate your ability to troubleshoot and resolve challenges effectively.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of instances where you've worked with analytics engineers or data analysts. Highlight how you’ve contributed to data modelling and transformation processes, showcasing your teamwork skills.
✨Documentation is Key
Be prepared to discuss how you document your data architecture and engineering processes. Clear documentation is crucial for maintaining data infrastructure, so sharing your approach will reflect your professionalism and attention to detail.
