ML Engineer – Data & AI, Level 1
DXC Technology
full-time
Posted on:
Location Type: Hybrid
Location: Erskine • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudGoogle Cloud Platform
About the role
- Assist in managing data engineering projects and tasks, ensuring they are completed on time and within scope.
- Work with team members to develop and maintain data pipelines and infrastructure.
- Collaborate with other teams to understand and address data requirements.
- Contribute to efforts focused on data quality and security.
- Learn from experienced team members and apply knowledge in day-to-day tasks.
- Participate in the optimization of data processes.
- Stay up-to-date with emerging data technologies and industry best practices.
- Foster a collaborative and growth-oriented environment within the team.
Requirements
- Bachelor's degree in a relevant field or equivalent combination of education and experience
- 6+ years of relevant work experience
- Proven experience in data engineering
- Proficiencies in data engineering tools and technologies
- A continuous learner that stays abreast with industry knowledge and technology
- Advanced degree in a relevant field a plus
- Relevant certifications, such as Data Engineering on Google Cloud Platform or IBM Certified Data Engineer a plus
Benefits
- In-person collaboration with flexibility to support wellbeing, productivity, individual work styles, and life circumstances
- Inclusive environment where everyone can thrive
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata pipelinesdata infrastructuredata qualitydata securitydata processesemerging data technologiesindustry best practices
Soft skills
collaborationgrowth-oriented mindsetteamworkcommunication
Certifications
Data Engineering on Google Cloud PlatformIBM Certified Data Engineer