Data Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 months ago
3-5 years
Dubai, United Arab Emirates
work from office

Posted: 4 months ago
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Applicants: 150+
Job Description
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Job Description

About Wheely
Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience.
As a profitable, fast-growing scale-up with $43M raised, we're expanding rapidly across EMEA and the US. We're adding exceptional talent to drive our next phase of growth.
We are looking for a Data Engineer to strengthen our Data Team at Wheely, proactively seeking and providing Business Users and Data Scientists with best-in-class and seamless data experience.
Responsibilities
  • Enhance Data team with architectural best practices and low-level optimizations
  • Support on evolving data integration pipelines (Debezium, Kafka, dlt), data modelling (dbt), database engines (Snowflake), ML Ops (Airflow, MLflow), BI reporting (Metabase, Observable, Text-2-SQL), reverse ETL syncs (Census)
  • Cover up business units with feature requests / bugfixes / data quality issues
  • Enforce code quality, automated testing and code style
Requirements
  • 3+ years of experience in Data Infrastructure Engineer / Data Engineer / MLOps Engineer roles;
  • Have work experience or troubleshooting experience in the following areas:
  • Analytical Databases: configuration, troubleshooting (Snowflake, Redshift, BigQuery)
  • Data Pipelines: deployment, configuration, monitoring (Kafka, Airflow or similar)
  • Data Modeling: DRY and structured approach, applying performance tuning techniques
  • Containerizing applications and code: Docker, k8s
  • Fluent with SQL and Python;
  • At least Intermediate level of English;
  • Have experience in researching and integrating open-source technologies (data ingestion, data modelling, BI reporting, LLM applications, etc.);
  • Ability to identify performance bottlenecks;
  • Team work: GitOps, Continuous Integration, Code reviews;
  • Technical university graduate.

    Looking to get Placed? Try our Placement Guarantee Plan


What we Offer
Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.
  • Competitive salary
  • Employee stock options plan
  • Relocation allowance
  • Lunch allowance
  • Medical insurance, including dental
  • Best-in-class equipment
  • Professional development subsidies
  • Wheely has an in-person culture but allows flexible working hours and work from home when needed
All of your personal information will be collected stored and processed in accordance with Wheely's Candidate Privacy Notice

Skills

PythonData IntegrationData ModelingEtlSnowflakeData EngineerMl OpsMlSql

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Important dates & deadlines?

Application Deadline

17 Mar 26, 01:42 PM IST

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