Chep

1 month ago

Data Solutions Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Design, build, and maintain scalable data pipelines and analytics components to support ML-driven asset optimization. Collaborate with cross-functional teams to implement data products, ensure data quality, and enable scalable analytics, while integrating Python-based solutions with AWS and modern data tooling in a hybrid work environment.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build reusable components, frameworks, and libraries at scale to support analytics products and enhance data processing efficiency and scalability.
•Develop, construct, and maintain highly scalable data pipelines and processing systems, integrating programming languages and tools to meet evolving business needs.
•Implement complex automated workflows and routines using workflow scheduling tools, ensuring efficient data ingestion and consumption.
•Optimize data quality, reliability, and scalability through continuous integration, test-driven development, and use of advanced data engineering practices.
•Collaborate with business and technology stakeholders to design and implement data product features, identifying opportunities for improvement in data accessibility and integration.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•5+ years professional experience in developing Python applications that implement machine learning models.
•Expert knowledge of Python on UNIX and/or LINUX platforms.
•Strong experience working with cloud platform providers like Amazon Web Services.
•Solid understanding of Version Control principles (Git).
•SQL experience (Ability to read/write complex SQL queries).

Experience:5+ yearsMachine learningData engineeringPythonAWSSQL

Skills:PythonGitSQLUnixLinuxReactFastAPIAirflowLLMsAWSPython MLData engineering

Languages:EnglishSpanish

Tech Stack:PythonAWSGitSQLUnixLinuxReactFastAPIAirflowLLMs

Company Brief

Chep

Provides pooled pallets, crates and containers and supply-chain logistics services to manufacturers, retailers and logistics providers globally, enabling transport, storage and returnable packaging solutions that reduce cost, waste and complexity in multi-party supply chains.

Industry: Logistics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: Sydney, Australia

Website LinkedIn

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Chep

1 month ago

Data Solutions Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build reusable components, frameworks, and libraries at scale to support analytics products and enhance data processing efficiency and scalability.
•Develop, construct, and maintain highly scalable data pipelines and processing systems, integrating programming languages and tools to meet evolving business needs.
•Implement complex automated workflows and routines using workflow scheduling tools, ensuring efficient data ingestion and consumption.
•Optimize data quality, reliability, and scalability through continuous integration, test-driven development, and use of advanced data engineering practices.
•Collaborate with business and technology stakeholders to design and implement data product features, identifying opportunities for improvement in data accessibility and integration.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•5+ years professional experience in developing Python applications that implement machine learning models.
•Expert knowledge of Python on UNIX and/or LINUX platforms.
•Strong experience working with cloud platform providers like Amazon Web Services.
•Solid understanding of Version Control principles (Git).
•SQL experience (Ability to read/write complex SQL queries).

Experience:5+ yearsMachine learningData engineeringPythonAWSSQL

Skills:PythonGitSQLUnixLinuxReactFastAPIAirflowLLMsAWSPython MLData engineering

Languages:EnglishSpanish

Tech Stack:PythonAWSGitSQLUnixLinuxReactFastAPIAirflowLLMs

Company Brief

Chep

Industry: Logistics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: Sydney, Australia

Website LinkedIn