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    Senior Engineer, Data Engineering - London, United Kingdom - Zenobē

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    Description
    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.

    We 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.

    Define Technical Strategy:
    Define and execute technical strategies for large, business-impacting projects with multiple constraints.

    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.

    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 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.
    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.

    Project Management:
    Proven track record of leading and delivering complex technical projects within scope, on time, and within budget.
    Visionary approach to setting and executing multi-year technical and data strategies aligned with business objectives.

    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.

    Analytical Thinking:
    Strong problem-solving skills and ability to analyse complex data issues.
    Commitment to ongoing learning and development in the field of data engineering.

    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
    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
    ~ Lots of our people work flexibly in many different ways, including part-time, flexitime and hybrid working. 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.

    If there are any adjustments that would help improve your experience with Zenobē, please let us know when you apply.

    #

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