11 days ago
- LevelJunior
- ProfessionsData Engineer, Data Manager, Data Analyst
- TypeFull Time
- LocationLondon, United Kingdom
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Description
About us
We love pets - which is why we’re on a mission to make the world a better place for pets and their parents. We offer pet insurance policies with generous pet health benefits that are designed with their needs in mind. We’ve helped half a million pets stay happy and healthy since 2017 - and many more customers throughout the world are joining us every day. Our company is respectful, fun-loving and (most importantly) passionate about pets and their wellbeing. Throughout our business you'll meet people who think differently, aim for impact, and love to try new things. Want to join our pack? Join us. Love every moment. Love ManyPets.
A day in the life
As an Associate Data Engineer at ManyPets, one of the key areas of work will be enhancing and refactoring our data platform. As a team, we will be reviewing the current infrastructure and identifying areas where improvements can be made. This could involve optimising existing data pipelines or collaborating with Senior Engineers to design new components that will ensure the platform is scalable, reliable, and efficient. A key focus of your work will be on data ingestion, where you’ll integrate data from a variety of sources, including internal systems, partner networks, and third-party vendors. Collaboration is central to this role, as you’ll work hand-in-hand with upstream teams to understand the nuances of incoming data, ensuring it meets the highest quality standards. You’ll also work closely with downstream teams, including analysts and data scientists, transforming raw data into valuable insights that support critical business operations.
Data modelling will be another part of your responsibilities, where you’ll contribute to designing clean, organised, and accessible models that empower our reporting and operational needs. These models will also play a key role in preparing the groundwork for ManyPets’ expansion into AI-driven initiatives. Each day, your contributions will be integral to maintaining a robust data platform and ensuring seamless data flow across the team, ultimately helping to drive smarter business decisions.
Your responsibilities
- Optimise data pipelines to ensure efficiency and scalability.
- Collaborate with Senior Engineers to design and implement new components for the data platform.
- Manage the ingestion of data from first-party systems, second-party partners, and third-party vendors.
- Work with upstream teams to ensure smooth data ingestion and maintain high-quality data standards.
- Integrate data from various sources to align with organisational needs and objectives.
- Collaborate with downstream teams, including analysts and data scientists, to ensure data is properly transformed for analysis.
- Create efficient and accessible data models for reporting, analytics, and operational use.
- Assist in preparing the data platform for future AI initiatives and advanced analytics projects.
- Ensure seamless data flow across the organisation by monitoring and resolving potential bottlenecks.
- Identify potential issues and contribute to resolving them under the guidance of senior team members.
- Maintain thorough documentation of data pipelines, data models, and infrastructure for development and troubleshooting.
- Identify and resolve issues within the data platform to minimise downtime and ensure reliable data delivery.
- Ensure data handling meets security and compliance standards.
- Identify opportunities for automation within data ingestion and transformation processes.
- Provide input on enhancing the scalability, reliability, and performance of the data platform.
- Support the implementation of data governance policies, including data access, retention, and quality.
- Be proactive in expanding your knowledge of data engineering concepts, tools, and best practices.
- Take advantage of learning opportunities, both structured and self-directed, to enhance your skills.
- Actively participate in mobbing and knowledge-sharing sessions with teammates.
- Take ownership of your day – and be prepared to diplomatically decline work that falls outside of your scope.
Your skills and experience
- Basic proficiency in Python and SQL, with a willingness to learn and improve.
- Understanding of ETL vs. ELT processes and their role in modern data workflows.
- Exposure to data transformation tools like DBT or similar, with support provided to learn DBT.
- Basic knowledge of cloud platforms (e.g., Google Cloud Platform, AWS) and cloud-based data storage like BigQuery.
- Familiarity with version control systems (e.g., Git) and CI/CD practices.
- Most importantly, you should be excited about learning new technologies and adapting to different tools as needed. A proactive approach to growing your skill set will be highly valued!
Skills Required
- Python
- SQL
- Cloud