At a Glance
- Tasks: Lead data engineering projects using AWS tools and design innovative data solutions.
- Company: Join a forward-thinking tech company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Dynamic team culture with excellent career advancement potential.
- Why this job: Make an impact by shaping the future of data engineering in a collaborative environment.
- Qualifications: 7+ years of hands-on experience with AWS data services and strong Python skills.
The predicted salary is between 70000 - 90000 £ per year.
Key responsibilities on this engagement:
- Run the Sprint 1 architecture review of the existing UAT codebase (S3 + Glue + S3 Tables + OpenSearch + Athena) and deliver written gap findings.
- Design the metadata schema, taxonomy, and field catalogue (Light, Brain, Power).
- Tune data orchestration — Glue jobs, Athena queries, S3 Tables config, scheduling.
- Lead the deep-dive technical sessions with analysts on visualization requirements.
- Build and validate the simulation data onboarding pipeline against real data — including the 30 GB-per-run acoustic spectra dataset.
- Configure and validate the OpenSearch k-NN vector store and the Bedrock embedding pipeline.
- Author the AI/ML data export format specification and the AI onboarding pattern document.
- Co-design the API middleware blueprint with the Cloud Infrastructure Architect.
Must-have:
- Principal-level hands-on data engineering on AWS — 7+ years.
- Deep production experience with S3, S3 Tables, Glue, Athena, and OpenSearch (including k-NN / vector search).
- Built and shipped vector embedding workloads.
- Strong metadata modelling and data taxonomy design experience for scientific or engineering domains.
- Comfort working with Parquet, JSON-LD, and large binary scientific data formats (mesh, time-series, spectra).
- Python proficiency; PySpark / Glue job tuning experience.
Data Engineer employer: Infoplus Technologies UK Limited
As a leading employer in the tech industry, we offer Data Engineers an exceptional opportunity to work on cutting-edge projects in a collaborative and innovative environment. Our commitment to employee growth is reflected in our comprehensive training programmes and mentorship initiatives, ensuring that you can advance your career while contributing to impactful data solutions. Located in a vibrant tech hub, we provide a dynamic work culture that values creativity and teamwork, making it an ideal place for professionals seeking meaningful and rewarding employment.
Contact Details:
Infoplus Technologies UK Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. 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 projects, especially those involving AWS, Glue, and OpenSearch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with S3, Athena, and data orchestration. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented data engineers like you. Plus, applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and the specific tools mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing your hands-on data engineering experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for the role. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects:If you've worked on projects involving S3, Glue, or OpenSearch, make sure to mention them! We’re keen to see real-world examples of your work, especially those that demonstrate your ability to handle large datasets and complex data orchestration.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great addition to our team!
How to prepare for a job interview at Infoplus Technologies UK Limited
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like S3, Glue, and Athena. Brush up on your knowledge of vector embedding workloads and metadata modelling, as these will likely come up during technical discussions.
✨Prepare for Deep-Dive Discussions
Since the role involves leading technical sessions, be ready to discuss your past experiences in detail. Think about specific projects where you’ve tuned data orchestration or worked with OpenSearch, and prepare to explain your thought process and decisions.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies related to data engineering challenges. This could involve designing a metadata schema or optimising a Glue job. Practise articulating your approach to problem-solving clearly and confidently.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, or their approach to data governance. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
