Senior Software Developer – Analytics

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop technical solutions that link data pipelines, models, and user-facing experiences.

• Decompose intricate analytics or AI feature areas into engineering plans while identifying potential technical risks.

• Oversee code and design reviews.

• Work in collaboration with data scientists, AI engineers, and product managers to transition prototypes into production.

• Guide junior engineers in system design, debugging, and effective communication with stakeholders.

• Manage the comprehensive design of analytical solutions, encompassing data contracts, feature stores, model endpoints, and client integrations.

• Make architectural and tooling choices based on cost, risk, and value assessments.

• Assess emerging analytics and AI platforms, recommending their adoption when suitable.

• Choose integration patterns and conduct proofs of concept.

• Determine when to build new solutions versus reusing existing ones, balancing the speed of experimentation with reliability.

• Convey technical, product, and business strategies to senior engineers, data scientists, and product partners.

⛳️ Requirements

• A Bachelor's degree in Computer Science or a related discipline, along with approximately 8 years of pertinent software development experience; or 6 years with a Master's degree; or 3 years with a PhD; equivalent experience is also considered.

• Proven track record of delivering complex software or data engineering projects across multiple teams.

• Proficient in Python, SQL, and Git, with hands-on experience in production data pipelines.

• Practical experience with Snowflake, Databricks, Palantir Foundry, or similar contemporary cloud data platforms.

• Familiarity with JavaScript/TypeScript and React.

• Experience in designing scalable data architectures and integration patterns such as ETL/ELT, and both batch and streaming processes.

• Knowledge of PySpark or comparable distributed data processing frameworks.

• Experience with CI/CD pipelines, observability tools, and infrastructure-as-code practices.

• Familiarity with cloud infrastructure services such as Azure, AWS, or GCP.

• Exposure to deploying AI/ML models in production analytics scenarios.

• Basic understanding of HTML/CSS and data visualization libraries.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.