Senior Analytics Software Engineer — Remote UK

Jobgether

España

On-site

PHP 7,621,000 - 11,008,000

Full time

4 days ago
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Benefits offered by this job

Remote UK
Global impact projects
Mentorship opportunities

Job summary

Jobgether seeks a Senior Software Developer for Analytics to design and build cutting-edge analytics solutions in a modern cloud data environment. You will connect data pipelines, analytical models, and customer-facing applications while mentoring engineers and guiding technical direction.

The role involves collaboration with data scientists, AI engineers, and product leaders to move prototypes into production, with broad impact across automotive and consumer insights domains.

Qualifications

  • Bachelor's degree in CS or related field with 8 years' experience, 6 with MS, or 3 with PhD.
  • Proven delivery of complex multi-team software or data initiatives.
  • Strong Python, SQL, and Git experience in data pipelines.
  • Hands-on with Snowflake, Databricks, Palantir Foundry or equivalent.

Responsibilities

  • Design analytics solutions that integrate data pipelines, models, and user-facing experiences.
  • Lead architecture reviews, code quality, testing practices, and standards.
  • Partner with data scientists, AI engineers, and product managers to shape experiments.
  • Mentor engineers and drive production deployment of analytics solutions.
  • Own end-to-end design including data contracts, feature stores, model endpoints, and client integrations.

Skills

Python
SQL
Git
TypeScript
React
PySpark
CI/CD
Snowflake
Databricks
Palantir Foundry
Cloud platforms
HTML
CSS

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
Databricks
Palantir Foundry
HTML
CSS

Job description

Jobgether seeks a Senior Software Developer for Analytics to design and build cutting-edge analytics solutions in a modern cloud data environment. You will connect data pipelines, analytical models, and customer-facing applications while mentoring engineers and guiding technical direction.

The role involves collaboration with data scientists, AI engineers, and product leaders to move prototypes into production, with broad impact across automotive and consumer insights domains.

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