We're recruiting a Senior Data Engineer to join a collaborative data platform team developing business-critical data products and services.
This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, building scalable pipelines and working with modern cloud technologies. The successful candidate will play a key role in the ongoing development, optimisation and support of an established data platform while also mentoring more junior engineers within the team.
As a Senior Data Engineer, you'll be responsible for designing, developing and maintaining robust data solutions that support a wide range of business and customer-facing applications.
Working closely with engineers, analysts and stakeholders, you'll help drive best practice across data engineering, data quality and platform performance whilst contributing to the evolution of the organisation's data capabilities.
Key Responsibilities:
- Design, develop and maintain ETL and data integration solutions
- Build and optimise scalable data pipelines using SQL and Python
- Support and enhance a cloud-based data platform
- Work with stakeholders to understand data requirements and translate them into effective technical solutions
- Contribute to data modelling and data architecture initiatives
- Troubleshoot and resolve complex data-related issues
- Contribute to engineering best practices, code reviews and continuous improvement activities
- Support infrastructure and platform automation initiatives
Essential Skills & Experience
- Strong SQL skills, including complex data manipulation and performance optimisation
- Proven experience designing, developing and supporting ETL/data pipeline solutions
- Strong Python development experience
- Commercial experience working with Snowflake
- Strong understanding of data warehousing and data modelling principles
- Experience working within Agile delivery environments
- Excellent communication and stakeholder management skills
What's on Offer?
- 12-month contract with potential for extension
- Opportunity to work on a modern cloud data platform
- Collaborative and supportive engineering culture
- Exposure to modern data engineering and automation practices
- Hybrid working model with two office days per week
- Opportunity to influence technical direction and mentor other engineers
Please note: Applications are being reviewed as they are received. The role follows a hybrid working model with two office-based days per week (Tuesday and Thursday). Due to planned hiring team availability, interviews are expected to commence from 15th August, with shortlisted candidates kept informed throughout the process.