Senior Data Engineer

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July 29

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Zenobē

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Energy • Transport • SaaS

Zenobē is a company dedicated to making clean power accessible, striving to accelerate the shift to zero carbon power and transport. They design, finance, build, and operate battery solutions, transforming grids to facilitate the integration of renewable energy and electrifying fleets for improved air quality. Additionally, Zenobē repurposes electric vehicle batteries as power solutions and utilizes proprietary software and data analysis to optimize performance for their clients.

201 - 500 employees

Founded 2017

⚡ Energy

🚗 Transport

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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