data engineer for rail industry

Enfint

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

30 дней отпуска
Медицинская и стоматологическая помощь
Проездной и субсидия на транспорт
Система велопоездок (Cycle to Work)
Leave по инициативе компании
Бонус по результатам работы
Пенсионная программа
Возможности обучения и развития
Гибкие часы, работа в офисе/дома
Постоянная работа в офисе Fenchurch

Job summary

RSSB приглашает опытного data engineer для обеспечения качества и доступности данных, разработки пайплайнов и API на Python. Ваша работа будет включать планирование решений, работу с Airflow, Databricks и BI‑инструментами, а также обеспечение соответствия архитектуре и стандартам данных.

Кандидат обладает образованием в области информатики, опытом работы с SQL/Python, а также навыками общения и документирования. Вакансия предусматривает работу в офисе лондонского региона и конкурентный соцпакет.

Qualifications

  • BSc в научной, компьютерной или смежной дисциплине.
  • Обширный опыт анализа данных, моделирования и QA.
  • Умение работать с SQL и Python на продвинутом уровне.
  • Опыт разработки пайплайнов на Python с оркестраторами (Airflow).
  • Опыт доступа к данным через Databricks и Power BI/Fabric.
  • Навыки извлечения данных из разных систем и знание веб-архитектуры.
  • Умение документировать технические решения и ясно их презентовать.
  • Умение работать в команде, адаптироваться и достигать целей.
  • Плюс: API на Python (FastAPI) и облачные сервисы.
  • Контроль версий: Git/GitHub/Azure DevOps.

Responsibilities

  • Обеспечение надежности и доступности данных для downstream‑приложений.
  • Планирование и развитие дата‑решений с учётом требований.
  • Консультирование по подходам к новым задачам с использованием Python.
  • Применение стандартов и архитектур данных для надёжных решений.
  • Проведение сложных контролей качества данных и их remediation.
  • Поддержка и оптимизация data pipelines и API.
  • Разработка прототипов и качественных продуктов.
  • Сопровождение и документирование сложных скриптов и приложений на SQL/Python.

Skills

SQL
Python
Airflow
Databricks
Power BI
Data modelling
Коммуникация
Документация
Решение проблем

Education

BSc в области информатики или смежной дисциплины

Tools

FastAPI
AWS/Azure/GCP
Git/GitHub/Azure DevOps
SQL Server / PostgreSQL

Job description

Описание

RSSB supports the rail industry through data, standards, and digital products focused on health, safety, quality, operational performance, and sustainability. Its data solutions integrate national, industry, and internal business sources to support analytics, decision-making, and business processes.

Задачи
  • Ensure data for downstream applications is reliable, accessible, and appropriately formatted through engagement with Product Management and stakeholders
  • Plan and drive the development of data solutions while balancing functional and non-functional requirements
  • Advise on approaches to novel data problems using Python-based solutions
  • Apply data standards and architectures to deliver reliable and well-engineered solutions
  • Conduct complex data quality checks and monitoring, and perform remediation to maintain data integrity
  • Maintain and optimise data pipelines, APIs, and applications for performance and reliability
  • Develop quick prototypes and high-quality products according to the context
  • Design, code, test, and document complex data engineering scripts and applications using SQL, Python, and software engineering best practices
  • Collaborate with Product Management and stakeholders to understand business requirements and translate them into technical solutions
  • Communicate technical concepts and solutions to technical and non-technical audiences
  • Mentor and coach colleagues on problem-solving approaches and deliverable quality
Требования
  • Hold a BSc in a scientific, computer science, or related discipline
  • Have extensive experience with data analysis, data modelling, and quality assurance techniques
  • Proficiency in SQL and Python
  • Experience developing Python data pipelines with orchestrators such as Airflow
  • Experience making data available in data science and data visualisation tools such as Databricks and Power BI/Fabric
  • Experience extracting data from various systems, including familiarity with web-oriented architecture
  • Ability to analyse and document technical solutions effectively
  • Communicate effectively and share ideas with audiences using appropriate methods
  • Adapt effectively to new opportunities, change, and uncertainty
  • Contribute actively to team goals and outcomes
  • Take responsibility and accountability for completing tasks and achieving objectives
  • Resolve problems and identify opportunities proactively
  • Demonstrate commitment to customer service and customer satisfaction
  • Collaborate within an evolving industry and build stakeholder confidence through subject-matter expertise
  • Make timely and informed decisions while considering benefits and constraints
  • Nice to have: Experience developing and deploying Python APIs with frameworks such as FastAPI, familiarity with AWS, Azure, or GCP, experience with Git-based version control and repositories such as Azure DevOps Repos or GitHub, experience with Microsoft SQL Server or PostgreSQL including query optimisation and performance tuning
Условия
  • 30 Days annual leave plus bank holidays
  • Private medical and dental cover
  • Season ticket loan and travel subsidy
  • Cycle to work scheme
  • Volunteer leave
  • Performance-related bonus
  • Pension scheme
  • Learning and development opportunities
  • Core hours with the option to vary the working location between the office and home
  • Permanent role based at the Fenchurch Avenue office
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