At a Glance
- Tasks: Join our AI team to handle unconventional data and develop innovative software solutions.
- Company: Dynamic tech company focused on AI and data engineering.
- Benefits: Flexible work environment, competitive pay, and structured career growth opportunities.
- Other info: Participate in exciting projects with cutting-edge technology and a collaborative culture.
- Why this job: Make an impact in AI while growing your skills in a supportive team.
- Qualifications: Bachelor's degree in a related field and 1-3 years of data engineering experience.
The predicted salary is between 50000 - 70000 £ 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) - London employer: Medpace, Inc.
Join our dynamic team in London as a Data Engineer (AI) and experience a flexible work environment that fosters professional growth and innovation. With competitive compensation, structured career paths, and a strong focus on employee wellness, we are committed to creating a supportive culture where your expertise in data engineering can thrive. Be part of exciting projects that not only challenge you but also contribute to the company's success in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AI) - London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have a lead on your dream Data Engineer role!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with ETL processes, Python, and AI tools. This will give you an edge and make you memorable during interviews.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific projects you've worked on. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving skills.
✨Apply Through Our Website
We’ve got a ton of opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Data Engineer position. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Engineer (AI) - London
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 used these tools in past roles, so give us some examples that demonstrate your expertise.
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 genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Medpace, Inc.
✨Know Your Tech Stack
Make sure you’re familiar with the specific 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 any relevant projects you've worked on, especially those involving AI tools or Natural Language Processing. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Data Privacy Regulations
Since the role involves handling data in compliance with US and EU AI Acts, it’s crucial to have a solid understanding of data privacy and security. Familiarise yourself with these regulations and be prepared to discuss how you would ensure compliance in your work.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with team members who aren’t as technically savvy. Clear communication can set you apart from other candidates.
