At a Glance
- Tasks: Design innovative software solutions for automotive and consumer data analytics.
- Company: Join a leading global firm in consumer insights and data analytics.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 8 years of software development experience with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for a Senior Software Developer to join our Analytics engineering team. You'll design the technical solutions that turn rich automotive and consumer datasets into products and insights our global customers can rely on.
The Impact You Will Have In This Role
At J.D. Power, we're global leaders in consumer insights, advisory services, and data analytics. In this role you'll design the solutions that connect our data pipelines, models, and user experiences into one coherent product, working on a modern cloud data platform such as Snowflake, Databricks, or Palantir Foundry. You'll drive the engineering plan for complex feature areas, lead code and design reviews, and work closely with data scientists and AI engineers to get prototypes into production. Mentoring the engineers around you is a big part of the job too.
What You’ll Be Doing In This Role
- Design the technical solutions that tie together data pipelines, models, and user-facing experiences into one coherent product.
- Break complex analytics or AI feature areas down into clear engineering plans, and flag technical risks before they become problems.
- Lead code and design reviews, helping the team sharpen its approach to architecture, structure, and testing.
- Work closely with data scientists, AI engineers, and product managers to shape experiments and turn promising prototypes into production‑ready systems.
- Mentor junior engineers, sharing what you know about system design, debugging, and talking to stakeholders.
- Take ownership of end‑to‑end analytical solution design - data contracts, feature stores, model endpoints, client integration - on a modern cloud data platform such as Snowflake, Databricks, or Palantir Foundry.
- Bring solid business judgement to architecture and tooling decisions, weighing cost, risk, and value rather than just technical elegance.
- Keep an eye on where analytics and AI platforms are heading and recommend when it's worth adopting something new.
- Choose the right integration pattern for the problem at hand and run small proofs of concept to test whether an idea will scale.
- Decide when to build versus reuse, and how far to trade experimentation speed against reliability.
- Communicate effectively with senior engineers, data scientists, and product partners so that everyone is aligned with business, product, and technical direction.
Required Experience Qualifications of this Role:
- A 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.
- A track record of owning delivery on complex, multi‑team software or data engineering work.
- Background in automotive, consumer insights, or analytics‑driven SaaS.
- Experience mentoring engineers and running technical design reviews.
Required Technical Skills
- Strong Python, SQL, and Git skills, with real experience running production data pipelines.
- Hands‑on experience with a modern cloud data platform - Snowflake, Databricks, Palantir Foundry, or something similar.
- Experience designing data architectures that scale, and a good handle on integration patterns like ETL/ELT and batch or streaming.
Desirable Technical Skills
- PySpark or a similar distributed data processing framework.
- CI/CD pipelines, observability tooling (logging, alerting, monitoring), and infrastructure‑as‑code.
- Experience working with cloud infrastructure, in either Azure, AWS, or GCP.
- Some exposure to putting AI/ML models into production analytics use cases.
- Working knowledge of HTML/CSS and data visualization libraries.
- Equally comfortable thinking strategically and getting hands‑on.
- A natural mentor who enjoys raising the bar for the people around you.
- A clear communicator, at ease explaining technical trade‑offs to engineers and non‑technical stakeholders alike.
- Decisive under ambiguity, without losing sight of the bigger picture.
- Collaborative and easy to work with - you build trust quickly with data science, AI engineering, and product partners.
The Hiring Manager Says
I'm looking for someone who can take a complex feature area and turn it into a plan the rest of the team can rally behind. You should enjoy leading code and design reviews and get real satisfaction from mentoring engineers as they grow. I want someone who partners closely with our data scientists and AI engineers to get prototypes into production, asks good questions early, and never loses sight of the bigger picture.
Company Mission
Our mission in the market we serve is clear. To power every auto‑related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action.
Our Values
- We POWER Our Customer's Success
- We are Innovative, Collaborative and Grounded in Data
- We Make Things Easy
- We Get It Done
- We Start with Trust & Prove it Everyday
JD Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Senior Software Developer for Analytics employer: JD Power
At JD Power, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Customer Success Partner in our dynamic team, you will benefit from extensive professional growth opportunities while working in a supportive environment that values your contributions and encourages continuous improvement. Located in a vibrant area, we offer a unique chance to engage with diverse clients and make a meaningful impact on their success, all while enjoying a strong commitment to employee well-being and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Developer for Analytics
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JD Power or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JD Power.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JD Power that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Developer for Analytics
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JD Power.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JD Power and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at JD Power
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JD Power uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
