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Senior Data Engineer, Databricks, Home Based
Job summary
A growing SaaS product company is looking for a Senior Data Engineer based in the UK. This role requires strong data modelling and design skills, along with expertise in Databricks and performant SQL. You will be responsible for creating and managing data solutions while mentoring team members. The position allows for home-based work with occasional visits to the Nottingham office. Ideal candidates will thrive in agile environments and possess strong commercial knowledge.
Qualifications
- Strong commercial knowledge of Databricks and performant SQL is required.
- Very strong data modelling skills are essential.
- Knowledge of testing and agile environments is beneficial.
Responsibilities
- Work with the Data Architects and Data team to determine technical delivery.
- Design data solutions based on optimal performance and scalability.
- Create, optimise and maintain data models, including data warehouses.
- Design and manage the data integration process.
- Mentor and train team members to improve their skills.
- Contribute to the agile team.
Skills
Senior Data Engineer, Databricks, £ 60000 - 70000 + benefits. Strong Data Modelling, Data Design and Databricks required. Home Based with one day a month at the office in Nottingham.
Strong commercial knowledge of Databricks and Performant SQL is required for this role as is very strong Data Modelling. Should also have knowledge of testing and agile environments.
Expanding SaaS product company are looking for a number of Senior Data Engineers as they continue to grow. In these hands‑on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code.
- Work with the Data Architects and Data team to determine technical delivery and functionality.
- Design data solutions based on optimal performance, scalability and reliability.
- Create, optimise and maintain logical and physical data models, including data warehouses and data lakes.
- Design and manage the data integration process.
- Work with the team to improve their skills and knowledge (mentoring, training coaching, etc)
- Contribute as a member of the agile team.
Work closely with Data Scientists, Data Engineers and BA's to understand the data needs of...
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.