Senior/Staff Data Engineer
Description For Senior/Staff Data Engineer
StackAdapt is a leading self-serve advertising platform that's revolutionizing multi-channel digital advertising. As a Senior/Staff Data Engineer, you'll join their data science team working on complex problems for their digital advertising platform that processes millions of requests per second. You'll collaborate directly with data scientists, engineers, and the CTO on building pipelines and ad optimization models. The role offers a perfect blend of big data challenges and machine learning implementation in a low-latency environment. StackAdapt provides a remote-first culture with excellent benefits, including the flexibility to work from anywhere in the UK and up to 90 days globally. The company has received numerous awards for workplace culture and product excellence, including Ad Age Best Places to Work 2024 and G2 Top Software recognition. They emphasize diversity, inclusion, and work-life balance, making it an ideal environment for those seeking to make an impact in the adtech space while growing professionally. The role requires expertise in distributed systems, ML algorithms, and data pipeline architecture, offering the opportunity to work on cutting-edge technology that shapes the future of digital advertising.
Responsibilities For Senior/Staff Data Engineer
- Design modular and scalable real time data pipelines to handle huge datasets
- Suggest, implement, and coordinate architectural improvements for big data ML pipelines
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
Requirements For Senior/Staff Data Engineer
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
- Have deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Experience in designing scalable distributed systems
- A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
- Enjoy working in a friendly, collaborative environment with others
Benefits For Senior/Staff Data Engineer
- Competitive salary
- Private Medical Insurance cover
- Auto-enrolment into the company pension scheme
- Work from home reimbursements
- Coverage and support of personal development initiatives (conferences, courses, etc)
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Social and team events (virtually)
- Walk and wander policy - work anywhere in the world for up to 90 days a year
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