At a Glance
- Tasks: Lead the design of innovative data solutions and AI/ML architectures.
- Company: Join a forward-thinking tech company focused on data engineering.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Shape the future of data engineering with cutting-edge technologies.
- Qualifications: 7+ years in AWS Data Engineering and strong technical leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
We're looking for a Principal/Lead Data Engineer with strong AWS data platform expertise to lead the design and implementation of metadata-driven data solutions and AI/ML-ready architectures.
Key Skills:
- 7+ years of hands-on AWS Data Engineering experience
- Strong expertise in S3, S3 Tables, Glue, Athena, and OpenSearch
- Experience with Vector Search (k-NN), Embeddings, and Amazon Bedrock
- Metadata Modeling, Taxonomy Design, and Data Cataloging
- Python, PySpark, Glue Job Optimization
- Experience with Parquet, JSON-LD, and large-scale scientific/engineering datasets
- Strong architecture and technical leadership capabilities
Nice to Have:
- Simulation/CAE/HPC data lake experience (Ansys, Siemens NX, OpenFOAM, etc.)
- SageMaker, Data Mesh, or Multi-Cloud (AWS/GCP) exposure
Data Engineer employer: Apprize Technology Solutions
Join a forward-thinking company that values innovation and collaboration, where as a Principal/Lead Data Engineer, you will have the opportunity to shape cutting-edge data solutions in a dynamic work environment. Our commitment to employee growth is reflected in our continuous learning culture, competitive benefits, and a supportive team atmosphere that encourages creativity and professional development. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and access to industry-leading technologies, making us an exceptional employer for those seeking meaningful and rewarding careers.
Contact Details:
Apprize Technology Solutions 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, especially those with AWS expertise. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS data solutions, metadata modeling, and AI/ML architectures. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on key topics like S3, Glue, and OpenSearch. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical knowledge.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS data engineering experience and the specific tools mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for the role. Share your passion for data engineering and any relevant projects you've worked on. We love hearing about your journey and how you can contribute to our team!
Showcase Your Technical Skills:When detailing your experience, focus on the key skills we’re after, like S3, Glue, and Python. Use specific examples to demonstrate your hands-on experience and problem-solving abilities. This will help us see your technical prowess in action!
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 shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Apprize Technology Solutions
✨Know Your AWS Inside Out
Make sure you brush up on your AWS data platform knowledge, especially S3, Glue, and Athena. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Technical Leadership
As a Principal/Lead Data Engineer, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've guided others in technical decisions or architecture design, and be ready to discuss your approach to mentoring junior engineers.
✨Get Familiar with Metadata and Taxonomy
Since metadata modeling and taxonomy design are key skills for this role, make sure you can explain your experience in these areas. Think of specific instances where you designed data cataloging solutions and how they benefited the organisation.
✨Prepare for AI/ML Discussions
With a focus on AI/ML-ready architectures, be prepared to talk about your experience with machine learning frameworks like SageMaker and how you've integrated them into data solutions. Highlight any projects involving vector search or embeddings to showcase your relevant expertise.
