Engineering Manager - Data Engineering
Oxa, United Kingdom
Job Description
Who are we?
Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; the autonomous shuttling of goods and people.
We are home to some of the world’s leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and the U.S, and we’re partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances.
Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in 2014 and is growing rapidly (350+ ‘Oxbots’ to date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023.
Your team
The Data Engineering team is a key platform team within Oxa, focused on enabling teams across the business to optimally manage, search and manipulate the vast quantity of data required for ML training and analysis. This is achieved by inventing and building in-house and/or using best in class 3rd party solutions and services.
You will be given the responsibility to lead a team that translates complex business challenges to technical solutions, making the best use of emerging technologies and cloud. This is a broad-reaching role that will provide exposure across many different technology streams and requires an experienced technical leader who can communicate effectively, both written and verbal with technical and non-technical stakeholders.
This role requires demonstrable experience in the leadership of technical teams and the end-to-end delivery of data solutions/services from ideation to deployment and ongoing support. Your documentation and reporting must be clear, concise, and reliable to the highest standards. Your organisational skills will be excellent, managing multiple priorities at once and you will think big in your approach to identifying and building future solutions/services to meet our customers’ needs.
Your role
- Owning the Data Engineering technical roadmap and end-to-end delivery of these solutions/services for our internal teams and external customers, working closely with the platform lead for Data Engineering
- Contributing to / maintaining documentation for the architecture of Data Engineering systems and decision flows required
- Collaborating with peers and leadership across the organisation to scope new solutions and services to industrialise and accelerate data use through a 'cloud-first' approach
- Defining and regular reporting on meaningful metrics and KPIs to illustrate performance and impact of Data Engineering team, solutions and services
- Coordinating, driving, and facilitating alignment meetings with the team to ensure projects remain on time
- Identifying and immediately addressing performance-related issues that impede deployment and job satisfaction
- Collaborating with key stakeholders and members your team, suggesting and discussing high-level approaches to solve problems, code/architecture reviews and pair programming
- Contributing to sprint cycles so as to bring in sprint activity on time, including planning, reviewing, and highlighting risk or scope creep against project requirements
- Resource assignment, forecasting, requests, and justification for more heads (new hire or transfer) Lead and mentor people, plan their career growth and focus on creating a cohesive team environment
Requirements
- Bachelor’s / MSc degree or equivalent experience in a computer science / engineering field
- Experience working with cloud technologies and big data environments e.g. Google GCP, Microsoft Azure, Amazon AWS
- Ability to design and manage at scale both structured and unstructured data architectures.
- Knowledge of current and emerging data trends and technologies including Data Lakehouse/Mesh, Analytics, Pub/Sub, DataProc, NoSQL, MongoDB, Timeseries, and Graph Databases
- Experience leading and managing a team of engineers to identify, build and support data platforms
- Demonstrable experience in the design and delivery of scalable data platforms
- Must have a strong ability to manage stakeholder communication and risk management across multiple technology domains
Extra Kudos if you have:
- Experience designing amp; owning petabyte-scale data e