Data Engineer | MLOps & Pipelines | Flexible Hours

Wheely; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A dynamic ride-hailing platform is seeking a Data Engineer to join their Data Team. The successful candidate will focus on enhancing data architecture, supporting data integration pipelines, and resolving data quality issues. Ideal candidates will have over three years of relevant experience, along with proficiency in SQL and Python. The role is based in West London, offering competitive salary and a range of benefits including equity options and medical insurance.

Benefits

Flexible working hours

Stock options

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

Qualifications

• 3+ years of experience in Data Infrastructure Engineer/Data Engineer/MLOps Engineer roles.
• Fluent in SQL and Python.
• Intermediate level of English.
• Experience with open-source technologies for data ingestion and BI reporting.

Responsibilities

• Enhance Data team with architectural best practices.
• Support evolving data integration pipelines and data modelling.
• Cover business units' feature requests/bugfixes/data quality.

Skills

SQL

Python

Team work (GitOps, Continuous Integration)

Analytical Databases

Data Pipelines

Containerizing applications and code (Docker, k8s)

Education

Technical university degree

Tools

Snowflake

Redshift

BigQuery

Kafka

Airflow

Job description

A dynamic ride-hailing platform is seeking a Data Engineer to join their Data Team. The successful candidate will focus on enhancing data architecture, supporting data integration pipelines, and resolving data quality issues. Ideal candidates will have over three years of relevant experience, along with proficiency in SQL and Python. The role is based in West London, offering competitive salary and a range of benefits including equity options and medical insurance.