Senior Data Engineer

Description

• Drive incremental improvement by contributing to platform-level tooling, automation, and performance enhancements.
• Partner with stakeholders such as product, analytics, and data science teams to understand data needs and build fit-for-purpose solutions.
• Participate in code reviews, planning, design discussions and general chit-chat, contributing to a healthy, inclusive, and collaborative engineering culture.
• Promote good practices in data engineering, including testing, scalability, maintainability, observability, documentation, and reliability.
• Contribute to the architecture and evolution of our data platform — balancing short-term delivery needs with long-term scalability and maintainability.
• 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.
• Support and mentor teammates, sharing knowledge and reviewing designs and code to maintain a high standard of engineering quality.
• Help the team unblock technical issues through pragmatic decisions and by bringing your experience to bear on tough problems.
• Collaborate across teams to deliver scalable, real-time and batch data pipelines that support our products and analytics.

Requirements

• 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.
• Database Technologies: Expertise in SQL and NoSQL databases for data storage and retrieval.
• Big Data Technologies: In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, or similar for data processing and analytics.
• Communication Skills: Excellent verbal and written communication skills, with the ability to present technical concepts clearly and concisely.
• Data Architecture: Strong understanding of data architecture principles, including data modelling, schema design, and data governance.
• Cloud Platforms: Experience with leveraging AWS cloud for scalable and reliable data solutions service highly desirable.
• Data Visualization: Familiarity with data visualization tools (e.g., Tableau, Power BI) for creating actionable insights.
• Adaptability: Thrives in dynamic environments and embraces change with resilience and pragmatism.
• Analytical Thinking: Strong problem-solving skills and ability to analyse complex data issues.
• Advanced Data Engineering: Relevant experience in designing, implementing, and optimizing large-scale data systems and pipelines.
• Modern Data Architecture: Experience with Open Table formats such as Iceberg, Lakehouse principles and a medallion data architecture would be highly beneficial.

Benefits

• Cash back health plan
• 25 days holiday, increasing with length of service up to 30 days, plus bank holidays
• Pension scheme, up to 8% matched contributions
• Enhanced parental leave
• £1,500 training budget per year, to ensure you grow as we do
• Private Medical Insurance
• EV Salary Sacrifice Scheme
• Up to 33% annual bonus for being awesome

Training + Development

Interview process

Visa Sponsorship

Security clearance