Job Description

ABOUT ZENOBE

Our mission is to make clean power accessible, to accelerate the shift to zero-carbon power and transport around the world. We are passionate about making a positive impact on communities and the environment where we work.


We're designing, financing, building and operating the world's most sophisticated battery systems to enable the take up of more renewable power, electrifying fleets for cleaner air, and providing clean, portable power including repurposed electric vehicle batteries. Our proprietary software and data analysis optimises operational performance for our customers to reduce emissions and costs.


Since we began in 2017, we've raised over 2 billion in debt and equity funding and transformed it into >1GW of grid-connected batteries live or under contract and c.2,000 electric vehicles supported. We have operations in the UK, Australia, New Zealand and Benelux, the USA and a global headquarters in London.


We're the leading owner and operator of battery storage in the UK, supporting the National Grid with the uptake of renewable power. We also work with c.90% of the UK's major bus companies, powering 25% of the UK e-bus market. We're also the number one owner and operator of e-buses in Australia and New Zealand, and are quickly expanding into light commercial vehicles and trucks. Our rapidly growing company is looking for highly talented and motivated people to join us.

THE OPPORTUNITY

We are looking for a talented and experienced Senior Data Engineer to join our collaborative and forward-thinking engineering team. You'll play a key role in designing, building, and evolving the data pipelines and platforms that power our products -- especially in the context of high-throughput IoT streams, near real-time charging insights, and long-term historical trend analysis to optimise EV infrastructure.


This role is hands-on and delivery-focused, working closely with other engineers, data scientists, and analysts to solve real-world problems. You'll bring strong technical experience and a passion for clean, reliable data systems -- and just as importantly, a team-first mindset. You'll help the team move faster and more confidently, unblock technical challenges, and contribute to a supportive and inclusive engineering culture.

A TASTE OF THE DAY TO DAY

Collaborate across teams

to deliver scalable, real-time and batch data pipelines that support our products and analytics.

Support and mentor teammates

, sharing knowledge and reviewing designs and code to maintain a high standard of engineering quality.

Contribute to the architecture and evolution

of our data platform -- balancing short-term delivery needs with long-term scalability and maintainability.

Partner with stakeholders

such as product, analytics, and data science teams to understand data needs and build fit-for-purpose solutions.

Help the team unblock technical issues

through pragmatic decisions and by bringing your experience to bear on tough problems.

Promote good practices

in data engineering, including testing, scalability, maintainability, observability, documentation, and reliability.

Drive incremental improvement

by contributing to platform-level tooling, automation, and performance enhancements.

Participate in code reviews, planning, design discussions and general chit-chat

, contributing to a healthy, inclusive, and collaborative engineering culture.

Health and Safety

Actively contribute to Zenobe's commitment to health and safety, wellbeing and sustainability by; integrating these principles into daily responsibilities, ensuring a safe and supportive work environment, promoting both the physical and mental health of self and colleagues, and adopting sustainable and energy-efficient practices to minimize environmental impact. By doing so, each employee at Zenobe plays a vital role in fostering a culture that prioritises overall safety, holistic wellbeing, environmental sustainability in our business operations.

WHAT

WE'RE LOOKING FOR

We realise that certain groups of people are less likely to apply for a role if they don't meet 100% of the job requirements. To be absolutely clear: if you like the look of this job and think you could do it well, we encourage you to apply with a CV that highlights your transferable skills and experience. Above all, Zenob? is looking for collaborative, flexible, empathetic people who are interested in creating and promoting practical routes to a zero carbon world.

Technical Skills and Expertise

Advanced Data Engineering:

Relevant experience in designing, implementing, and optimizing large-scale data systems and pipelines.

Data Architecture:

Strong understanding of data architecture principles, including data modelling, schema design, and data governance.

Modern Data Architecture:

Experience with Open Table formats such as Iceberg, Lakehouse principles and a medallion data architecture would be highly beneficial.

Programming Languages:

High proficiency in Python, but experience or willingness to work with Java, Scala, or similar, with a focus on data manipulation, ETL processes, and data analysis.

Big Data Technologies:

In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, or similar for data processing and analytics.

Cloud Platforms:

Experience with leveraging AWS cloud for scalable and reliable data solutions service highly desirable.

Database Technologies:

Expertise in SQL and NoSQL databases for data storage and retrieval.

Data Visualization:

Familiarity with data visualization tools (e.g., Tableau, Power BI) for creating actionable insights.

Personal Attributes

As a company, we are no longer a start-up but very much in the scale-up phase with ambitious growth aspirations. We have a strong product offering with an international customer base and growing data needs. We're very much still shaping the technical strategy of how we can scale effectively. The following are some personal attributes we think would help you to thrive in this environment.

Analytical Thinking:

Strong problem-solving skills and ability to analyse complex data issues.

Adaptability:

Thrives in dynamic environments and embraces change with resilience and pragmatism.

Innovation:

Demonstrates a growth mindset, exploring new technologies and approaches to drive innovation.

Communication Skills:

Excellent verbal and written communication skills, with the ability to present technical concepts clearly and concisely.

Continuous Learning:

Commitment to ongoing learning and development in the field of data engineering.

WORKING AT ZENOBE

We're passionate about sustainability and are proud to offer Team Zenob? a pioneering and collaborative working environment. We encourage our people to take ownership of their career progression and celebrate those that can think outside the box.


If you'd like to join our community of likeminded people hit the apply button now, we'd love to hear from you!

WHAT WE OFFER

Charge your career at Zenob? and receive


Up to 33% annual bonus for being awesome 25 days holiday, increasing with length of service up to 30 days, plus bank holidays Private Medical Insurance 1,500 training budget per year, to ensure you grow as we do EV Salary Sacrifice Scheme Pension scheme, up to 8% matched contributions Enhanced parental leave Cash back health plan Plus more
Lots of our people work flexibly in many different ways, including part-time, flexitime and hybrid working. We can't promise to give you exactly what you want, but please talk to us about the flexibility you need and let's see how we can make it work.

OUR APPROACH TO DIVERSITY AND INCLUSION

Our people are our strongest asset and the key determinant of our success, and we value a range of skillsets and perspectives. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We work to provide equal opportunities and an inclusive work environment, where everyone is fairly treated in the application process and through their career at Zenob?. If there are any adjustments that would help improve your experience with Zenob?, please let us know when you apply.