At a Glance
- Tasks: Join our AI team to handle unconventional data and develop innovative software solutions.
- Company: Dynamic company focused on AI with a collaborative and supportive culture.
- Benefits: Flexible work environment, competitive pay, generous PTO, and career growth opportunities.
- Other info: Participate in exciting projects and enjoy company-sponsored events and wellness initiatives.
- Why this job: Make an impact in AI while developing your skills in a fast-paced environment.
- Qualifications: Bachelor's degree in a related field and 1-3 years of Data Engineering experience.
The predicted salary is between 45000 - 60000 £ per year.
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.
Responsibilities
- Utilize skills in handling of more unconventional data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python).
- Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake.
- Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API).
- Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI.
- Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems.
- Create software applications that support the understanding and visualization of data flows from inception to derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance.
- Participate in software validation process through development, review, and/or execution of test plan/cases/scripts.
- Communicate with team members regarding projects, development, tools, and procedures.
- Provide end-user support including setup, installation, and maintenance for application.
Qualifications
- Bachelor's Degree in Computer Science, Data Science, or a related field.
- 1-3+ years of experience in Data Engineering.
- Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta-data.
- Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs.
- Solid ETL development, reporting knowledge based off intricate understanding of business process and measures.
- Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred.
- Knowledge of REST API.
- Good knowledge of SQL Server databases and Python programming language is required.
- Knowledge of C# is a bonus as is working with Azure data fabric.
- Excellent analytical, written and oral communication skills.
Medpace Perks
- Flexible work environment
- Competitive compensation and benefits package
- Competitive PTO packages
- Structured career paths with opportunities for professional growth
- Company-sponsored employee appreciation events
- Employee health and wellness initiatives
Data Engineer (AI) employer: Medpace, Inc.
At Medpace, we pride ourselves on being an excellent employer, offering a flexible work environment that fosters innovation and collaboration within our AI team. With competitive compensation, structured career paths, and a strong focus on employee health and wellness, we provide our Data Engineers with the tools and support they need to thrive and grow in their careers. Join us in a dynamic setting where your contributions directly impact our success and where you can engage in exciting projects that push the boundaries of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AI)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 data engineering and AI. 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 understanding the latest trends in data engineering and AI. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we really appreciate!
We think you need these skills to ace Data Engineer (AI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AI tools, ETL processes, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our AI team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to mention your technical skills in SQL, Python, and any experience with Snowflake or Azure. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so give us some examples!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Medpace, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Snowflake, Azure, SQL, and Python. Brush up on your knowledge of ETL processes and how to handle unstructured data, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've worked with AI tools or handled large datasets. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Company’s Needs
Research the company’s current projects and goals, especially in relation to AI and data engineering. Tailor your answers to show how your skills can help them achieve their objectives, particularly around compliance with US and EU AI Acts.
✨Practice Communication Skills
Since communication is key in this role, practice explaining complex technical concepts in simple terms. You might be asked to collaborate with team members or provide end-user support, so being able to articulate your thoughts clearly will set you apart.
