Junior Data Engineer — Hybrid Cloud Pipelines & AI

Curve Analytics; Greater London; Hybrid; GBP 32,000 - 45,000; Full time

Benefits offered by this job

Competitive Salary

Annual Leave 25 days + bank holidays

Generous Pension 8%

Health & wellbeing programs

Job summary

Curve Analytics seeks a Junior Data Engineer to design, build and productionise data pipelines in the cloud. You’ll work on proofs of concept and larger projects, integrating new data sources and AI methods to enrich analytics and dashboards.

You will collaborate with London-based clients and internal teams to grow cloud architecture and data engineering capabilities. Hybrid work from London HQ is available.

Qualifications

• Bachelor's degree in CS/Statistics/Math or related field.
• Strong Python and programming skills; Java/Scala desirable.
• Strong SQL background.
• Exposure to big data technologies (Hadoop, Spark, Presto).

Responsibilities

• Build innovative data solutions.
• Develop and deploy automated data pipelines from acquisition to visualization.
• Productionise machine learning models.
• Collaborate with data scientists, analysts and client tech teams.
• Improve data reliability, processing efficiency and quality.
• Deploy pipelines in cloud environments and develop cloud capabilities.
• Document code and champion quality.

Skills

Python

Java

Scala

SQL

Education

Bachelor's degree in Computer Science/Statistics/Math or related field

Tools

Hadoop

Spark

Presto

Job description

Curve Analytics seeks a Junior Data Engineer to design, build and productionise data pipelines in the cloud. You’ll work on proofs of concept and larger projects, integrating new data sources and AI methods to enrich analytics and dashboards.

You will collaborate with London-based clients and internal teams to grow cloud architecture and data engineering capabilities. Hybrid work from London HQ is available.