Senior Software Developer – Analytics

Job not on LinkedIn

🔥 1 minute ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚘 Automotive

🛡️ Insurance

💼 Consulting

Automotive • Insurance • Consulting

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• Design technical solutions connecting data pipelines, models, and user-facing experiences • Break complex analytics or AI feature areas into engineering plans and identify technical risks • Lead code and design reviews • Collaborate with data scientists, AI engineers, and product managers to move prototypes into production • Mentor junior engineers on system design, debugging, and stakeholder communication • Own end-to-end analytical solution design, including data contracts, feature stores, model endpoints, and client integration • Make architecture and tooling decisions based on cost, risk, and value • Evaluate emerging analytics and AI platforms and recommend adoption where appropriate • Select integration patterns and run proofs of concept • Decide when to build versus reuse and balance experimentation speed with reliability • Communicate technical, product, and business direction with senior engineers, data scientists, and product partners

🎯 Requirements

• Bachelor's degree in Computer Science or related field plus around 8 years of relevant software development experience, or 6 years with a Master's, or 3 with a PhD; equivalent experience is also welcome • Track record of owning delivery on complex, multi-team software or data engineering work • Strong Python, SQL, and Git skills, with production data pipeline experience • Hands-on experience with Snowflake, Databricks, Palantir Foundry, or similar modern cloud data platform • Comfortable with JavaScript/TypeScript and React • Experience designing scalable data architectures and integration patterns such as ETL/ELT and batch or streaming • PySpark or similar distributed data processing framework experience • Experience with CI/CD pipelines, observability tooling, and infrastructure-as-code • Experience with Azure, AWS, or GCP cloud infrastructure • Exposure to putting AI/ML models into production analytics use cases • Working knowledge of HTML/CSS and data visualization libraries