Senior Data Engineer
Position: Senior Data Engineer
Location: Remote (United Kingdom-based)
Salary: £90,000 + shares
Full time position
Our client is seeking a highly skilled and innovative Data Engineer to join their expanding Data Engineering squad within the Product Engineering department. This full-time, remote position offers an exciting opportunity to transition from internal BI-focused initiatives to building cutting-edge, customer-facing data products and enhancing the company's data platform capabilities.
You will play a pivotal role in driving product-focused innovation and developing robust, scalable frameworks to meet the needs of external users while applying software engineering best practices to data engineering.
Key Responsibilities
- Build and Expand Product Engineering Capabilities
- Collaborate with the Data Platform team to design and deliver customer-facing data products.
- Apply SDLC and CI/CD best practices to ensure seamless product delivery.
- Architect and implement advanced data frameworks and pipelines to support new use cases.
- Ownership & Strategy
- Lead strategic discussions with internal and external stakeholders.
- Develop strategies to optimise interaction with the Data Platform.
- Build advanced Databricks concepts and semantic layer frameworks.
- Minimise dependencies on other teams through robust architecture and self-sufficient design.
- Data Quality & Engineering Processes
- Focus on engineering excellence through continuous integration and testing.
- Implement robust systems for data quality, monitoring, and reliability.
Required Skillset
- Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
- 4+ years of experience in data engineering or a similar role.
- Proven experience in designing and implementing large-scale data pipelines and frameworks.
- Hands-on experience with customer-facing data products and platforms.
- Demonstrated ability to work collaboratively with product teams and stakeholders.
- Proficiency in Python (preferred).
- Experience with Java, Go, Scala, or C# (optional).
- Familiarity with React for Front End components.
- Strong experience with Databricks on AWS.
- Knowledge of Azure integrations.
- Expertise in Airflow for orchestration.
- Familiarity with semantic layers such as Cube.js or DBT.
- Proficiency in defining and implementing CI/CD pipelines.
- Strong experience with GitHub for version control and collaboration.
- Solid understanding of relational databases (RDBMS).
- Experience Scripting pipelines and ETL processes.
Reference: 2885953929
Senior Data Engineer

Posted on Jan 23, 2025 by Mentmore Recruitment
Position: Senior Data Engineer
Location: Remote (United Kingdom-based)
Salary: £90,000 + shares
Full time position
Our client is seeking a highly skilled and innovative Data Engineer to join their expanding Data Engineering squad within the Product Engineering department. This full-time, remote position offers an exciting opportunity to transition from internal BI-focused initiatives to building cutting-edge, customer-facing data products and enhancing the company's data platform capabilities.
You will play a pivotal role in driving product-focused innovation and developing robust, scalable frameworks to meet the needs of external users while applying software engineering best practices to data engineering.
Key Responsibilities
- Build and Expand Product Engineering Capabilities
- Collaborate with the Data Platform team to design and deliver customer-facing data products.
- Apply SDLC and CI/CD best practices to ensure seamless product delivery.
- Architect and implement advanced data frameworks and pipelines to support new use cases.
- Ownership & Strategy
- Lead strategic discussions with internal and external stakeholders.
- Develop strategies to optimise interaction with the Data Platform.
- Build advanced Databricks concepts and semantic layer frameworks.
- Minimise dependencies on other teams through robust architecture and self-sufficient design.
- Data Quality & Engineering Processes
- Focus on engineering excellence through continuous integration and testing.
- Implement robust systems for data quality, monitoring, and reliability.
Required Skillset
- Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
- 4+ years of experience in data engineering or a similar role.
- Proven experience in designing and implementing large-scale data pipelines and frameworks.
- Hands-on experience with customer-facing data products and platforms.
- Demonstrated ability to work collaboratively with product teams and stakeholders.
- Proficiency in Python (preferred).
- Experience with Java, Go, Scala, or C# (optional).
- Familiarity with React for Front End components.
- Strong experience with Databricks on AWS.
- Knowledge of Azure integrations.
- Expertise in Airflow for orchestration.
- Familiarity with semantic layers such as Cube.js or DBT.
- Proficiency in defining and implementing CI/CD pipelines.
- Strong experience with GitHub for version control and collaboration.
- Solid understanding of relational databases (RDBMS).
- Experience Scripting pipelines and ETL processes.
Reference: 2885953929

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