Senior Software Developer – Analytics

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

📋 Description

• Develop technical solutions that integrate data pipelines, models, and interfaces for end-users.

• Formulate engineering strategies for intricate analytics and AI functionalities.

• Proactively identify potential technical risks.

• Oversee code and design evaluations focused on architecture, structure, and testing criteria.

• Collaborate effectively with data scientists, AI engineers, and product management teams.

• Transform prototypes into systems that are ready for production.

• Guide junior engineers on system design, debugging techniques, and effective stakeholder communication.

• Take ownership of comprehensive analytical solution design, encompassing data contracts, feature stores, model endpoints, and client integrations.

• Make informed decisions regarding architecture and tools based on cost, risk assessment, and overall value.

• Assess emerging analytics and AI platforms and provide recommendations for adoption.

• Determine integration patterns and carry out proofs of concept.

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

• Align senior engineers, data scientists, and product stakeholders with business, product, and technical objectives.

⛳️ Requirements

• Bachelor’s degree in Computer Science or a related field, along with approximately 8 years of relevant software development experience; alternatively, 6 years with a Master’s degree or 3 years with a PhD; equivalent experience is also acceptable.

• Proven experience in delivering complex software or data engineering projects that involve multiple teams.

• Proficient in Python, SQL, and Git.

• Experience with production-level data pipelines.

• Practical knowledge of Snowflake, Databricks, Palantir Foundry, or similar contemporary cloud data platforms.

• Familiarity with JavaScript/TypeScript and React.

• Experience in designing scalable data architectures.

• Understanding of ETL/ELT processes and batch or streaming integration methodologies.

• Preferred: background in automotive, consumer insights, or analytics-driven SaaS.

• Preferred: experience mentoring engineers and conducting technical design reviews.

• Preferred: knowledge of PySpark or comparable distributed data processing frameworks.

• Preferred: experience with CI/CD, observability tools, and infrastructure-as-code.

• Preferred: familiarity with Azure, AWS, or GCP cloud infrastructure.

• Preferred: experience with AI/ML models in analytics production scenarios.

• Preferred: skills in HTML/CSS and data visualization libraries.

• Ability to operate strategically and take hands-on actions with minimal oversight.

• Capable of clearly communicating technical trade-offs to both technical and non-technical stakeholders.

• Demonstrates decisiveness in ambiguous situations and a collaborative working style.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health insurance plans.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and career growth.

• Collaborative and innovative work environment.