Description
About Us
We're GEEIQ (pronounced ‘Geek') and we’re a data platform and insights provider that’s used by the likes of Gucci, Walmart, L’Oreal and Porsche to navigate and engage virtual worlds. Think Ralph Lauren in Fortnite, or Elton John in Roblox.
We believe that the metaverse hype is over and that brands demand more than just visibility when it comes to activating in these spaces, they need to be able to measure, attribute and identify tangible revenue opportunities. That’s where our platform comes in.
Located in the heart of London, GEEIQ is a team of 35 innovators, with ambitious growth plans in the next 24 months. We’re predominantly office based, where we foster a culture of collaboration and innovation. Every idea is valued and every team member plays a pivotal role in shaping the future of digital brand experiences.
Our Team
Our Engineering team plays a critical role developing and refining the GEEIQ data platform that helps and empowers our clients—from major brands to emerging players in various industries— to navigate the complexities of the metaverse.
The GEEIQ engineering team is extremely collaborative, working together to not only build a great platform, but also a great team. Every member of the team has valued input and can help make us the best engineering team possible.
GEEIQ engineering is on a mission to transform raw data into digestible and actionable strategies, helping brands become intrinsic parts of virtual environments, seamlessly integrating and engaging with diverse virtual audiences
Your Focus
As a Senior Data Engineer at GEEIQ, you will play a crucial role in designing, building, and maintaining scalable and robust data pipelines, ensuring an efficient and reliable flow of data across our systems. This position demands a thorough understanding of data architecture, data modelling, and the creation of APIs for data access and manipulation.
We are looking for a seasoned and passionate Senior Data Engineer who thrives in a scaling organisation and is adept at managing large-scale data projects. The ideal candidate will blend deep technical expertise with leadership and communication skills to drive projects and team success.
Key Responsibilities
- Data Pipeline Development
- Design and implement efficient, scalable, and reliable data pipelines.
- Optimise data processing and automate routine tasks to improve data throughput and quality.
- Data Modeling and Database Management
- Develop and maintain data models to ensure data is accessible and stored efficiently.
- Manage and optimise SQL and NoSQL databases, ensuring data integrity and performance.
- Implement and maintain data lakes and storage.
- API Development and Integration
- Build APIs for data access and manipulation to be used by web and mobile applications.
- Integrate with external data sources and APIs to enhance our data capabilities.
- Data Quality and Governance
- Implement systems to monitor and ensure the quality and accuracy of data.
- Work closely with the data governance team to implement policies and best practices.
- Collaboration and Project Leadership
- Collaborate with cross-functional teams to define and meet data requirements.
- Lead data-related projects, including planning, execution, and delivery.
- Innovation and Strategy
- Stay abreast of emerging technologies and trends in data engineering.
- Contribute to the strategic planning of data initiatives and improvements.
GEEIQ
Brand Marketing
Business Intelligence
Digital Marketing
Metaverse
SaaS
Virtual Goods
Virtual World
0 applies
28 views
Jobs from our Partners
Full Stack Python Software Engineer
Tucson, AZ
US
Principal Embedded Software Engineer
Aurora, IL
US
Senior Programmer Analyst
Madison, WI
US
Information Systems Security Engineer (ISSE)
San Antonio, TX
US
Other Jobs from GEEIQ
DevOps Engineer Engineering
London, UK
Senior Fullstack Engineer Engineering
London, UK
Similar Jobs
Principal Data Scientist (Deep Learning)
Remote
New York, NY
Senior Engineer II
Remote
Bengaluru, India
Senior Engineer - AI/ML
Remote
Phoenix, AZ
Senior Engineer
Remote
Phoenix, AZ
Senior Site Reliability Engineer
Ann Arbor, MI
Remote Hybrid
IT Cloud Resiliency Engineer
Remote
US
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
50,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 257 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
Cancel anytime / Money-back guarantee