Full stack engineer data science focus Work, Jobs in Kedleston, Dby (with Salaries)

Full Stack Engineer- Data Science Focus
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Full Stack Engineer- Data Science Focus
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Full Stack Engineer- Data Science Focus

Sperry Rail, Inc. -
Derby

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Job details

Full-time
9 days ago

Qualifications

CI/CD
Cloud architecture
Stakeholder collaboration
Relational databases
NumPy
Cloud engineering experience
Statistical analysis
Analysis skills
Maths
ETL data integration
CI/CD pipelines
Machine learning
Continuous improvement
Machine learning modelling
Distributed systems
Back-end development
Conflict management
Data pipeline
Agile
S3
Multidisciplinary collaboration
Data science
Communication skills
Infrastructure provisioning automation
Design patterns

Full job description

About Sperry:

Sperry Rail is on a mission-critical journey to revolutionize the Rail Flaw Detection industry. Through the continuous development of cutting-edge diagnostic technologies and AI-assisted analysis, we are transforming railway safety worldwide. Our global engineering teams work collaboratively to develop step-change technologies that define Sperry as the unparalleled market leader.

For nearly a century, we have repeatedly modernized and improved rail diagnostics through our relentless pursuit of improvement. Determined is an understatement. We are obsessed with advancing science and raising the bar on what’s possible with our ever-improving suite of products and service offerings.

Emboldened through the shared values of honesty, accountability, passion, integrity, and teamwork, we are driven by the challenge and bridging concepts with fruition. Each technologist entering Sperry imprints themselves into our brand and further galvanizes a culture of innovation and advancement. Allow us to be clear, Thought Leaders are welcome!

We are agile and hungry and invite those with similar passions to join us in challenging the status quo and bringing new ideas to the market. Fast-paced, high-touch with a distinct sense of purpose. We offer more than a job; we offer an opportunity to be part of something different.

Role Summary

We are looking for Full Stack Engineers with a data science focus to design, build, and maintain the data-driven applications and pipelines behind Zula 2.0, the platform that ranks and fuses the output of our rail inspection systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work is as much about understanding what the system should surface and in what order as it is about serving it. Zula 2.0 is the critical path for the team through the end of the year.

What We Expect From You

We expect an exceptional level of drive and ambition. You think beyond today's work to what the team and organisation need next, champion bold ideas, and see them through. Your hunger is infectious – it inspires those around you to aim higher. You should be someone who puts the team first. You share credit openly, admit when you are wrong, and welcome feedback as an opportunity to grow. You are comfortable saying "I don't know" and asking for help when needed. Strong interpersonal skills are important for this role. You should have good instincts for working with different people, listen actively, navigate disagreements constructively, and communicate clearly with both technical and non-technical audiences. This role requires a high degree of self-direction. You will manage complex work with minimal oversight, identify problems and solutions proactively, and may lead workstreams or small teams. You make well-reasoned technical decisions and only escalate when there is genuine business or architectural impact. Strong analytical thinking is critical. You will need to decompose ambiguous, multi-faceted problems, reason about complex distributed systems and data flows, and anticipate the downstream consequences of design decisions. You translate business problems into elegant technical solutions.

Key Responsibilities

Design and develop data pipelines, ETL processes, and backend services using Python
Build and maintain APIs and microservices that serve data products to internal and external consumers
Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data
Implement and deploy machine learning models and statistical analyses in production environments
Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions)
Collaborate with domain experts to translate rail inspection requirements into technical solutions
Write clean, tested, well-documented code following engineering best practices
Participate in code reviews, sprint planning, and technical design discussions
Collaborate with cross-functional teams including inspection engineers, data scientists, and product managers
Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence

Required Skills & Qualifications

Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar)
Experience building data pipelines and working with structured and unstructured data
Solid understanding of SQL and relational and non-relational databases
Experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, or similar)
Strong applied mathematics – statistics, probability, linear algebra, or signal processing
Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others
Understanding of software engineering principles (testing, code quality, design patterns)
Familiarity with version control (Git), CI/CD pipelines, and agile development practices
Strong problem-solving skills and ability to learn new technologies quickly
Good communication skills – able to explain technical concepts to non-technical stakeholders
A collaborative, team-first mindset aligned with our values of being Humble, Hungry, and Smart

Desirable Skills

Exposure to time-series data, geospatial data, or IoT data streams
Experience with ranking, scoring, or data fusion systems
Familiarity with frontend technologies (React, TypeScript)
Experience in rail testing, NDT, or sensor-based inspection industries (ultrasound, eddy current, electromagnetic, etc.)
AWS certifications
Experience with infrastructure-as-code (CloudFormation, CDK, Terraform)
Knowledge of containerisation (Docker, ECS/Fargate)

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