At a Glance
- Tasks: Join our AI team to handle unconventional data and develop innovative software solutions.
- Company: Fast-growing company focused on AI and data engineering.
- Benefits: Flexible work environment, competitive pay, and great career growth opportunities.
- Other info: Enjoy structured career paths and company-sponsored appreciation events.
- Why this job: Make an impact in AI while developing your skills in a dynamic 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.
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: United States Digital Space LLC
Join our dynamic AI team as a Data Engineer, where you'll thrive in a flexible work environment that champions innovation and professional growth. With competitive compensation, generous PTO, and structured career paths, we prioritise employee well-being and development, making this an ideal place for those looking to make a meaningful impact in the field of data engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AI)
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We think you need these skills to ace Data Engineer (AI)
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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