Analytics Engineer
Posted Today by 1764394332
£600 Per day
Outside
Remote
Edinburgh
Summary: The role of Analytics Engineer involves designing, developing, and optimizing data infrastructure and analytical tools on a contract basis. The position requires collaboration with data engineers, analysts, and business stakeholders to ensure data reliability and accessibility. This is a remote-first role that is classified as outside IR35.
Key Responsibilities:
- Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using DBT, SQL, Python, and ETL frameworks.
- Data Modelling: Develop and maintain logical and physical data models to support reporting and analysis needs, implementing best practices for data warehouse design.
- Data Transformation: Convert raw data from multiple sources into clean, reliable datasets for analysis and reporting, ensuring quality and consistency.
- Collaboration with Stakeholders: Partner with analysts, scientists, and business teams to translate requirements into technical solutions.
- Performance Optimization: Enhance existing data processes for speed and scalability, ensuring efficient data processing.
Key Skills:
- Experience delivering analytical solutions (e.g. in the Databricks stack).
- Data modelling expertise using tools such as DataForm or DBT.
- Ability to orchestrate complex data pipelines.
- Experience in building scalable, resilient analytical products.
- Continuous learning mindset to deepen or broaden knowledge.
- Background as a data engineer, analytics engineer, software engineer, or technical data analyst with a passion for data modelling and transformation.
- Comfortable in an agile environment using Terraform, CI/CD, pair programming, and deployment strategies.
- Experience with streaming technologies (Kafka Streams, Amazon Kinesis or similar) for sourcing and transforming large-scale data.
Salary (Rate): £600 daily
City: Edinburgh
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
My client is seeking an experienced Analytics Engineer to join on a contract basis. This role will focus on designing, developing, and optimising data infrastructure and analytical tools. You will collaborate closely with data engineers, analysts, and business stakeholders to ensure data is reliable, accessible, and actionable. This role is 'remote first' and falls OUTSIDE IR35.
Key Responsibilities
Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using DBT, SQL, Python, and ETL frameworks.
Data Modelling: Develop and maintain logical and physical data models to support reporting and analysis needs, implementing best practices for data warehouse design.
Data Transformation: Convert raw data from multiple sources into clean, reliable datasets for analysis and reporting, ensuring quality and consistency.
Collaboration with Stakeholders: Partner with analysts, scientists, and business teams to translate requirements into technical solutions.
Performance Optimization: Enhance existing data processes for speed and scalability, ensuring efficient data processing.
Is this the role for you?
It could be if you:
Have experience delivering analytical solutions (e.g. in the Databricks stack).
Possess data modelling expertise using tools such as DataForm or DBT.
Can orchestrate complex data pipelines.
Enjoy building scalable, resilient analytical products.
Seek continuous learning opportunities to deepen or broaden your knowledge.
Are a data engineer, analytics engineer, software engineer, or technical data analyst with a passion for data modelling and transformation.
Are comfortable in an agile environment using Terraform, CI/CD, pair programming, and deployment strategies.
Have experience with streaming technologies (Kafka Streams, Amazon Kinesis or similar) for sourcing and transforming large-scale data.
