At a Glance
- Tasks: Create reliable data solutions for the rail industry using Python and SQL.
- Company: Join a leading organisation supporting rail safety and performance through innovative data solutions.
- Benefits: Enjoy 30 days annual leave, private medical cover, and a performance-related bonus.
- Other info: Flexible working options and excellent career development opportunities await you.
- Why this job: Make a real impact in the rail industry while developing your technical skills.
- Qualifications: BSc in a relevant field with experience in data analysis and Python.
The predicted salary is between 63000 - 77000 £ per year.
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 Fast API, familiarity with AWS, Azure, or GCP, experience with Git-based version control and repositories such as Azure Dev Ops Repos or Git Hub, experience with Microsoft SQL Server or Postgre SQL 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
- #J-18808-Ljbffr
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We think you need these skills to ace data engineer for rail industry
Data Analysis
Data Modelling
Quality Assurance Techniques
Proficiency in SQL
Proficiency in Python
Data Pipeline Development
Experience with Airflow
