Director of Data Engineering
London, England, United Kingdom
Applications have closed
orbit
We help tech CEOs start, grow and scale their business by co-creating winning strategies, building high-performance teams and developing innovative products🚀 Director of Data Engineering
⚡ Streaming & Media
🌍 Manchester or London (Hybrid)
🧰 AWS/GCP, Data Platform Architecture, Data Mesh, DevOps, Machine Learning, Data governance
💸 Competitive Salary + Bonus & Extensive Benefits
Be the driving force behind the data innovation journey for a global streaming giant 🚀
orbit are partnered with a global leader in building innovative streaming technology platforms, digital media services and entertainment applications. We are looking to hire a Senior Data Engineering Leader to drive the innovation pillar as part of an ambitious data transformation.
Your technical centre of excellence will include Data scientists, Research & Behavioural Scientists along with ML Engineering, Data Engineering, Platform Engineering, MLOps, Architects, and Data QA and Data strategists, as you’ll lead a highly interesting data transformations, evolving and hardening their cloud-based mesh to fully exploit data as a product. You’ll also start to build ML models to drive all of their value cases as a business.
The Role
They are looking for someone with a ‘hands-on’ and practical approach; you will be responsible for delivering individual projects as well as mentoring, influencing, and developing the technical and softer skills of a team of data professionals. As a strategic thinker, you’ll champion data innovation, engineering, platform and architecture and demonstrate strong theoretical and practical knowledge of Machine Learning and Statistics. The teams currently operate a squad model and as such will need to ensure there is a consistent approach to development and focus on the principles of “develop once deploy everywhere”.
You'll bring an innovation agenda to the role with outside thinking, technical thought leadership and the capability to further accelerate the business forward in the next phase of its ambitious strategy to embed the data products
Requirements
- Enterprise data platform architecture with experience working with Cloud platforms such as AWS and/or GCP
- Experience with DevOps practices
- Has implemented data science models into productionised environments
- Machine learning knowledge relating to mathematical, statistical or other quantitative skills
- Experience with scaling up and leading and mentoring large technical teams
- Good understanding of Database technologies (e.g. schema design, migrations)
- Good understanding of Data governance
- Knowledge of back-end and front end web technologies (e.g. Flask or similar, designing APIs, load testing; HTML, JavaScript)
Benefits
- Competitive Salary
- Up to 20% Bonus
- Health cash plan, Life assurance and income protection
- + 5 weeks holiday (+ bank holidays)
- Gym membership
- Private healthcare options
- Tech equipment
If you are interested in this position then please apply now or email daniel@weorbit.ai for more information.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Data governance Data QA DevOps Engineering Flask GCP JavaScript Machine Learning ML models MLOps Research Statistics Streaming Testing
Perks/benefits: Career development Competitive pay Fitness / gym Health care
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