Data Engineer — ML Ops, Pipelines & Flexible Hours

Applied Intuition Inc.; Greater London; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A technology platform is seeking a Data Engineer to enhance their Data Team in West London. The role requires over 3 years of experience in data infrastructure, proficiency in SQL and Python, and familiarity with tools such as Docker and Kafka. Responsibilities include optimizing data integration pipelines and enforcing code quality. Employees enjoy flexible working hours, stock options, and various perks like life insurance and cycle-to-work schemes.

Benefits

Flexible working hours

Stock options

Life and critical illness insurance

Monthly credit for Wheely journeys

Cycle to work scheme

Top-notch equipment

Relocation allowance

Qualifications

• 3+ years of experience in Data Engineer or related roles.
• Fluent in SQL and Python.
• Intermediate level of English required.
• Experience with open-source technologies in data ingestion and modeling.

Responsibilities

• Enhance Data team with architectural best practices.
• Support evolving data integration pipelines.
• Enforce code quality and automated testing.

Skills

Data Infrastructure Engineering

SQL

Python

Docker

Kafka

Airflow

Snowflake

Data Modeling

Education

Technical university degree

Tools

Debezium

MLflow

Metabase

Text-2-SQL

GitOps

k8s

Job description

A technology platform is seeking a Data Engineer to enhance their Data Team in West London. The role requires over 3 years of experience in data infrastructure, proficiency in SQL and Python, and familiarity with tools such as Docker and Kafka. Responsibilities include optimizing data integration pipelines and enforcing code quality. Employees enjoy flexible working hours, stock options, and various perks like life insurance and cycle-to-work schemes.