Senior Software Developer – Analytics

Job not on LinkedIn

🔥 12 minutes 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 • Create engineering plans for complex analytics and AI feature areas • Identify technical risks early • Lead code and design reviews covering architecture, structure, and testing • Collaborate with data scientists, AI engineers, and product managers • Turn prototypes into production-ready systems • 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 • Select integration patterns and conduct proofs of concept • Decide when to build versus reuse and balance experimentation speed with reliability • Align senior engineers, data scientists, and product partners with business, product, and technical direction

🎯 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 also welcome • Track record of owning delivery on complex, multi-team software or data engineering work • Strong Python, SQL, and Git skills • Production data pipeline experience • Hands-on experience with Snowflake, Databricks, Palantir Foundry, or similar modern cloud data platform • JavaScript/TypeScript and React experience • Experience designing scalable data architectures • Knowledge of ETL/ELT and batch or streaming integration patterns • Desirable: automotive, consumer insights, or analytics-driven SaaS background • Desirable: mentoring engineers and running technical design reviews • Desirable: PySpark or similar distributed data processing framework • Desirable: CI/CD, observability tooling, and infrastructure-as-code • Desirable: Azure, AWS, or GCP cloud infrastructure experience • Desirable: AI/ML models in production analytics use cases • Desirable: HTML/CSS and data visualization libraries • Ability to work strategically and hands-on with limited oversight • Clear communication of technical trade-offs to technical and non-technical stakeholders • Decisiveness under ambiguity and collaborative working style