BI Data Engineer

Your responsibilities will include supporting the development and ongoing improvement of the organisation’s data environment, including:

• Designing, developing and maintaining ETL/ELT pipelines
• Bringing together information from databases, APIs, cloud services and other data sources
• Creating and maintaining effective data models for BI and analytical workloads
• Developing solutions using modern cloud and data technologies
• Contributing to scalable and sustainable data architecture
• Identifying opportunities to improve data quality, consistency and availability
• Managing scheduled data workflows, processes and jobs
• Supporting reporting, dashboarding and wider analytics requirements
• Monitoring pipelines and resolving data or performance-related issues
• Working with stakeholders to gather requirements and turn business needs into technical solutions
• Helping establish consistent data practices, standards and processes
• Collaborating with colleagues and sharing technical knowledge across the wider team

We are looking for someone who has practical commercial experience working with data and can confidently contribute to the delivery of data projects.

You should have experience in a number of the following areas:

• Strong SQL and relational database knowledge
• Python and/or PySpark
• Building and supporting data pipelines
• ETL/ELT processes
• Data modelling and data warehouse concepts
• Cloud data platforms and services
• Business Intelligence and data visualisation
• Working with APIs and data integrations
• Handling and analysing large or complex datasets
• Data quality, governance and security

You should be able to understand a business requirement, assess the available data and work towards a suitable technical solution., * Naturally analytical with a structured approach to problem solving

• Comfortable working independently and taking ownership
• Able to build effective relationships with technical and non-technical colleagues
• Well organised and capable of managing competing priorities
• Keen to learn and stay up to date with emerging data technologies
• Thorough and committed to producing high-quality work
• Confident diagnosing problems and working through solutions
• Collaborative and willing to support and develop others

Useful Additional Experience

The following would be beneficial, although they are not all essential:

• Databricks
• Delta Lake
• PySpark
• AWS or other cloud environments
• AWS Glue or comparable data integration tools
• Dimensional modelling and data warehouse design
• Power BI or other visualisation platforms
• API development or system integration
• Machine learning and advanced analytics
• Agile/Scrum delivery methods
• Experience within retail, logistics, supply chain or another data-heavy environment

Competitive Salary & Benefits, You will become part of a supportive data and technology team, with the opportunity to work across a variety of projects and broaden your technical capabilities.

The position includes:

• Competitive salary package
• Hybrid and flexible working options
• Pension
• Healthcare and additional employee benefits
• Training and professional development
• Experience with contemporary cloud and data platforms
• Exposure to data engineering, BI and analytics projects
• A collaborative team environment with opportunities to learn from experienced colleagues