Data Engineer at Wheely Technologies Ltd

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Integration, Data Modeling, SQL, Python, Docker, Kubernetes, Kafka, Airflow, Snowflake, Redshift, BigQuery, GitOps, Continuous Integration, Code Reviews, ML Ops

Industry

Software Development

Description

Wheely is not a traditional ride-hailing company. We are building a platform with user privacy at its core while successfully scaling a five-star service to millions of rides across multiple cities. 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. 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. Office-based role located in West London Competitive salary & equity package Medical insurance, including dental Life and critical illness insurance Monthly credit for Wheely journeys Lunch allowance Professional development subsidies Cycle to work scheme Top-notch equipment Relocation allowance (dependent on role level) 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

Responsibilities

The Data Engineer will enhance the Data team with architectural best practices and low-level optimizations while supporting the evolution of data integration pipelines and data modeling. They will also cover business units with feature requests, bug fixes, and data quality issues.