Senior Principal Data Engineer

at  Zenob

ABOUT ZENOBE

Our goal is to make clean power accessible, to accelerate the shift to zero carbon power and transport.
We’re building and operating the world’s most sophisticated battery systems to enable the uptake of more renewable power and accelerating fleet electrification, de-risking the transition to zero-emission transport at scale. We’ve been consistently innovative since we were founded in 2017, achieving major industry firsts and using proprietary software and data analysis to optimise operational performance for our customers. At the end of their life, we repurpose electric vehicle batteries to provide clean power at depots, on construction sites and film sets.
Today we have 730 MW of grid scale battery storage operational and under construction and are the largest owner and operator of EV buses in the UK, Australia, and New Zealand, supporting over 1,000 electric vehicles worldwide. In our first five years we have raised nearly £1.8 billion in funding and have expanded into other markets such as the US. Our rapidly growing company is looking for highly talented and motivated people to join us.

THE OPPORTUNITY

We are looking for an accomplished and proficient IC7 Senior Principal Data Engineer to spearhead our data engineering efforts within our dynamic engineering team. The ideal candidate will possess extensive expertise in data engineering, specifically in managing IoT data, handling data in motion, collaborating closely with data scientists and analysts, and demonstrating specialized knowledge in managing electric vehicle charging networks.
This pivotal role demands a strategic outlook, strong technical acumen, and outstanding leadership capabilities to conceptualize and deploy robust data solutions aligned with our organization’s data-driven objectives. While this position entails strategic planning and architectural design, it also emphasizes a hands-on approach to implementation.

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, Zenobē is looking for collaborative, flexible, empathetic people who are interested in creating and promoting practical routes to a zero carbon world.

• Advanced Degree in Computer Science, Data Science, Engineering, or related field: A postgraduate qualification demonstrates deep theoretical understanding and practical skills in data engineering and analytics.
• Extensive Experience in Data Engineering: Proven track record (typically 10+ years) of designing, implementing, and optimizing complex data pipelines and architectures, ideally within the energy or utilities sector.
• Expertise in Big Data Technologies: In-depth knowledge of technologies such as Hadoop, Spark, Kafka, and related frameworks for processing and analysing large-scale datasets.
• Proficiency in Programming Languages: Strong programming skills in languages like Python, Java, or Scala for data manipulation, processing, and model development.
• IoT and Real-time Data Experience: Hands-on experience working with IoT data streams and real-time analytics for monitoring and optimizing operations in energy systems.
• Data Modelling and Machine Learning: Practical experience in data modelling, statistical analysis, and machine learning techniques applied to energy data for predictive maintenance, optimization, or forecasting.
• Cloud Platform Proficiency: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable and cost-effective data solutions.
• Data Governance and Security: Understanding of data governance practices, regulatory compliance (e.g., GDPR), and security protocols specific to sensitive energy data.
• Leadership and Stakeholder Management: Demonstrated ability to lead cross-functional teams, influence strategic decisions, and communicate effectively with stakeholders at all levels.
• Strategic Thinking and Business Acumen: Strong business acumen with the ability to align technical strategies with broader business goals and market trends within the energy industry.
• Project Management Skills: Experience in managing complex projects from inception to delivery, including resource allocation, budget management, and risk assessment.
• Continuous Learning and Innovation: Commitment to staying updated with emerging technologies, industry trends, and best practices in data engineering and analytics.
• Team Mentoring and Development: Proven ability to mentor and develop junior team members, fostering a culture of collaboration, learning, and excellence.
• Certifications (Optional): Relevant certifications such as AWS Certified Big Data - Specialty, Google Professional Data Engineer, or Cloudera Certified Professional can further validate expertise in data engineering and cloud platforms.
• Passion for Sustainability: An interest or experience in sustainable energy practices and a commitment to driving positive environmental impact through data-driven initiatives.

• Advanced Degree in Computer Science, Data Science, Engineering, or related field: A postgraduate qualification demonstrates deep theoretical understanding and practical skills in data engineering and analytics.
• Extensive Experience in Data Engineering: Proven track record (typically 10+ years) of designing, implementing, and optimizing complex data pipelines and architectures, ideally within the energy or utilities sector.
• Expertise in Big Data Technologies: In-depth knowledge of technologies such as Hadoop, Spark, Kafka, and related frameworks for processing and analysing large-scale datasets.
• Proficiency in Programming Languages: Strong programming skills in languages like Python, Java, or Scala for data manipulation, processing, and model development.
• IoT and Real-time Data Experience: Hands-on experience working with IoT data streams and real-time analytics for monitoring and optimizing operations in energy systems.
• Data Modelling and Machine Learning: Practical experience in data modelling, statistical analysis, and machine learning techniques applied to energy data for predictive maintenance, optimization, or forecasting.
• Cloud Platform Proficiency: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable and cost-effective data solutions.
• Data Governance and Security: Understanding of data governance practices, regulatory compliance (e.g., GDPR), and security protocols specific to sensitive energy data.
• Leadership and Stakeholder Management: Demonstrated ability to lead cross-functional teams, influence strategic decisions, and communicate effectively with stakeholders at all levels.
• Strategic Thinking and Business Acumen: Strong business acumen with the ability to align technical strategies with broader business goals and market trends within the energy industry.
• Project Management Skills: Experience in managing complex projects from inception to delivery, including resource allocation, budget management, and risk assessment.
• Continuous Learning and Innovation: Commitment to staying updated with emerging technologies, industry trends, and best practices in data engineering and analytics.
• Team Mentoring and Development: Proven ability to mentor and develop junior team members, fostering a culture of collaboration, learning, and excellence.
• Certifications (Optional): Relevant certifications such as AWS Certified Big Data - Specialty, Google Professional Data Engineer, or Cloudera Certified Professional can further validate expertise in data engineering and cloud platforms.
• Passion for Sustainability: An interest or experience in sustainable energy practices and a commitment to driving positive environmental impact through data-driven initiatives