- Regular social events
- Staff discount on purchasing a kitchen after 1 year of continuous employment
- Free annual eye tests as well as a contribution to new glasses
- Quarterly bonus scheme
Key Responsibilities:
- Design, build, and optimise ETL/ELT pipelines using Python and cloud-native tools.
- Implement data validation frameworks, automated testing, and monitoring using tools like Datadog or CloudWatch.
- Work closely with Business Intelligence, analytics teams, and business users to understand data needs and deliver reliable solutions.
- Maintain and improve the data lakeʼs performance, security, and cost-efficiency in platforms like Databricks or Snowflake.
- Ensure proper monitoring, alerting, and logging are in place to maintain uptime and data availability.
- Maintain clear documentation of data flows, transformations, and best practices. Contribute to knowledge-sharing and mentoring junior engineers.
- Follow industry standards for data governance, security, and CI/CD automation in data pipelines.
- Stay up to date with new tools and techniques in data engineering, contributing ideas to improve processes and system efficiency.
About You
- 4+ years’ experience designing, building, and maintaining production data platforms.
- Strong Python skills for data wrangling, pipeline orchestration, automation, and complex SQL/Python debugging, including AI-augmented development tools.
- Experience with modern data lakes/ETL platforms such as Databricks, Snowflake, or equivalent; strong knowledge of Databricks and evaluating new tools for adoption.
- Understanding of LLMs, RAG, and data engineering’s role in agentic workflows.
- Experience with data modelling, transformation, performance optimisation, quality, and consistency.
- Familiarity with monitoring tools such as Datadog and CloudWatch, plus BI tools such as Tableau or Power BI.
- Strong problem-solving, troubleshooting, attention to detail, and communication skills, with the ability to explain technical concepts to technical and non-technical audiences.
- Knowledge of data governance, security, and compliance best practices.
- Experience with Agile methodologies, Jira, CI/CD, and infrastructure as code.
- Hands-on experience with AWS, Azure, or GCP, including compute, storage, and serverless services.
About The Company
At Wren we’re passionate about all things kitchens, and now bedrooms too! We are the largest kitchen retailer in the UK. We’re a business that simply doesn’t stand still!
As well as world class training on our products, systems and sales processes, you’ll enjoy working in an industry-leading work place for a business that’s twice been voted the UK’s Number 1 Place to Work on Indeed. That’s on top of amazing benefits including uncapped commission and exceptional opportunities to progress your career across our company.
Senior Data Engineer employer: Wren Kitchens
Wren Kitchens is an exceptional employer, offering a dynamic work environment in Croydon where creativity meets precision. With competitive salaries and quarterly bonuses, employees enjoy a supportive culture that prioritises professional growth and development, alongside the opportunity to make a tangible impact on customers' homes. Join us to be part of a team that values innovation and collaboration, ensuring every kitchen and bedroom design is executed to perfection.
