Senior Data Engineer

ABOUT ZENOBEOur 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 OPPORTUNITYWe are looking for a talented and seasoned Senior Data Engineer to spearhead our data engineering efforts within our innovative engineering team. The ideal candidate will bring a wealth of experience in data engineering, specifically in managing IoT data, orchestrating real-time data processing, and collaborating closely with data scientists and analysts. Additionally, expertise in overseeing electric vehicle charging networks is highly desirable. This pivotal role demands a strategic mindset, deep technical expertise, and outstanding leadership skills to architect and implement resilient data solutions that align with our organization's data-driven goals. While this position involves strategic planning and architecture, it also requires hands-on involvement and a proactive approach.A TASTE OF THE DAY TO DAY
Deliver Multi-Year, Multi-Team Goals: Drive and achieve multi-year and multi-team product or platform objectives.
Demonstrate Technical Judgement and Innovation: Apply high standards of technical judgement and innovation to solve complex, open-ended problems requiring tough prioritization.
Define Technical Strategy: Define and execute technical strategies for large, business-impacting projects with multiple constraints.
Influence Product Decisions: Influence or make decisions on product scope and technical trade-offs to deliver rapid customer value.
Serve as a Mentor and Role Model: Act as a role model for other engineers at, providing mentorship and setting a standard of excellence.
Drive Area/Group-Wide Impact: Identify and execute opportunities that have a significant impact across engineering areas or groups.
Ensure High Project Standards: Execute large projects to a very high standard, considering tight deadlines and potential consequences of failure.
Proactively Manage Risks: Identify and mitigate risks associated with projects, and collaborate with partner teams to develop necessary capabilities.
Own Decisions and Learn from Mistakes: Take ownership of decisions and mistakes, sharing learnings with others to drive continuous improvement.
Unblock Team Barriers: Proactively address barriers hindering team progress by assessing root causes and recommending process improvements.
Exercise Holistic Decision Making: Make decisions considering broader engineering organization goals andcustomer insights.
Lead Innovation and Change Management: Drive innovation by leveraging best practices and customer feedback to advance products and tools. Champion change initiatives within the organization, creating excitement and driving adoption. WHAT WE’RE LOOKING FORWe 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. Technical Skills and Expertise
Advanced Data Engineering: Extensive 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.
Programming Languages: Proficiency in languages such as Python, 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 cloud platforms like AWS, Azure, or Google Cloud, leveraging services for scalable and reliable data solutions.
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. Leadership and Management skills
Project Management: Proven track record of leading and delivering complex technical projects within scope, on time, and within budget.
Team Leadership: Ability to mentor, coach, and lead technical teams, fostering a culture of innovation and excellence.
Strategic Thinking: Visionary approach to setting and executing multi-year technical and data strategies aligned with business objectives.
Stakeholder Engagement: Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
Change Management: Experience driving organizational change, influencing roadmaps, and aligning priorities across multiple teams.
Educational Background and Certifications
Bachelor's or Master's Degree: In Computer Science, Data Engineering, Information Systems, or a related field.
Data Engineering Certifications: Relevant certifications such as AWS Certified Big Data - Specialty, Google Professional Data Engineer, or similar.
Project Management Certifications: Optional but beneficial certifications like PMP (Project Management Professional) or PRINCE2. Personal Attributes
Analytical Thinking: Strong problem-solving skills and ability to analyse complex data issues.
Adaptability: Thrives in dynamic environments and embraces change with resilience.
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 ZENOBEWe’re passionate about sustainability and are proud to offer Team Zenobē 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 OFFERCharge your career at Zenobē and receive
Up to 25% annual bonus for being awesome 25 days holiday, plus bank holidays Private Medical Insurance £1500 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 INCLUSIONOur 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 Zenobē. If there are any adjustments that would help improve your experience with Zenobē, please let us know when you apply.
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