Luxury ride-hailing with a focus on privacy
Wheely is a privacy-first luxury ride-hailing platform founded in 2010, headquartered in Brackenbury Village, London. The company operates in major cities like Moscow, St. Petersburg, Paris, and Dubai, providing high-quality chauffeuring services with a rigorous driver certification process. With $4...
Wheely offers a stock options plan, monthly credits for rides, generous training allowances, comprehensive healthcare benefits, and a daily lunch allo...
Wheely prioritizes quality and customer satisfaction by employing a strict driver certification process, ensuring a premium experience for clients. Th...
Wheely • Λευκωσία, Nicosia, Cyprus
Wheely is seeking a Data Engineer to enhance their Data Team by optimizing data integration pipelines and supporting business users. You'll work with technologies like SQL, Python, and Snowflake to provide a seamless data experience.
You have 3+ years of experience in Data Infrastructure Engineer, Data Engineer, or MLOps Engineer roles, and you are well-versed in analytical databases such as Snowflake, Redshift, and BigQuery. Your expertise includes deploying and monitoring data pipelines using tools like Kafka and Airflow, and you have a structured approach to data modeling that emphasizes performance tuning techniques. You are fluent in SQL and Python, and you possess the ability to troubleshoot and optimize data integration processes. Your experience also includes containerizing applications and code using Docker and Kubernetes, and you are comfortable researching and integrating open-source technologies for data ingestion and BI reporting. You have a keen eye for identifying performance bottlenecks and ensuring data quality across business units.
As a Data Engineer at Wheely, you will enhance the Data Team by implementing architectural best practices and optimizing low-level processes. You will support the evolution of data integration pipelines, utilizing tools such as Debezium and Kafka, while also focusing on data modeling with dbt and managing database engines like Snowflake. Your role will involve collaborating with business users and data scientists to ensure a seamless data experience, addressing feature requests, bug fixes, and data quality issues as they arise. You will enforce code quality through automated testing and maintain coding standards within the team. Your contributions will directly impact the efficiency and effectiveness of data operations, enabling the company to scale its services while prioritizing user privacy.
Wheely provides an in-person culture with flexible working hours and the option to work from home when needed. We offer an employee stock options plan, relocation allowance, lunch allowance, and comprehensive medical insurance, including dental coverage. You will receive best-in-class equipment and have access to professional development subsidies to support your growth. Join us in building a platform that prioritizes user privacy while delivering a five-star service to millions of rides across multiple cities.
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