

Signify Technology
Senior Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer in London, hybrid one day a week, with a contract length of "unknown." Pay rate is "unknown." Key skills include SQL, Python, data engineering, and BI tools like Looker. Experience in dynamic environments is required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
November 8, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London, England, United Kingdom
-
π§ - Skills detailed
#SQL (Structured Query Language) #Monitoring #Python #Observability #Programming #BI (Business Intelligence) #Datasets #Jenkins #Looker #Scala #Data Engineering #GitHub #Data Modeling
Role description
Job Title: Senior Analytics Engineer
Location: Lodnon- Hybrid one day a week
About The Role
My client are looking for a Senior Analytics Engineer to help shape and scale their data ecosystem. Youβll partner with analysts, data engineers, and business stakeholders to design and deliver high-quality, reliable datasets that power decision-making across the organization. This role is central to building a strong data culture, enabling self-service, and ensuring data is both trusted and accessible.
What they are Looking For
β’ Strong programming skills in SQL and Python, with experience using modern data platforms and orchestration tools
β’ Proficiency in data engineering best practices, including data modeling, warehousing, governance, observability, monitoring, and performance/cost optimization.
β’ Experience working across the full data stack and integrating multiple data sources.
β’ Hands-on expertise with BI tools, ideally Looker, both from a platform engineering perspective and as a support partner for business users.
β’ Ability to work independently, deliver high-quality features, and influence the teamβs priorities and roadmap.
β’ Excellent communication skills and the ability to explain complex technical concepts to diverse stakeholders.
β’ Experience collaborating in dynamic, fast-paced environments with evolving requirements.
β’ Familiarity with CI/CD pipelines (e.g., Github Actions, Jenkins) for analytics workflows is a plus.
What Youβll Do
β’ Collaborate with data engineers and stakeholders to design, scope, and implement scalable data models.
β’ Improve and standardize BI definitions within the data stack, ensuring consistency and reducing reliance on manual updates.
β’ Refactor and optimize existing data models to enhance performance, usability, and maintainability.
β’ Build high-quality, production-ready datasets that empower analysts and business teams.
β’ Contribute to the long-term vision of a robust, self-service analytics environment
Job Title: Senior Analytics Engineer
Location: Lodnon- Hybrid one day a week
About The Role
My client are looking for a Senior Analytics Engineer to help shape and scale their data ecosystem. Youβll partner with analysts, data engineers, and business stakeholders to design and deliver high-quality, reliable datasets that power decision-making across the organization. This role is central to building a strong data culture, enabling self-service, and ensuring data is both trusted and accessible.
What they are Looking For
β’ Strong programming skills in SQL and Python, with experience using modern data platforms and orchestration tools
β’ Proficiency in data engineering best practices, including data modeling, warehousing, governance, observability, monitoring, and performance/cost optimization.
β’ Experience working across the full data stack and integrating multiple data sources.
β’ Hands-on expertise with BI tools, ideally Looker, both from a platform engineering perspective and as a support partner for business users.
β’ Ability to work independently, deliver high-quality features, and influence the teamβs priorities and roadmap.
β’ Excellent communication skills and the ability to explain complex technical concepts to diverse stakeholders.
β’ Experience collaborating in dynamic, fast-paced environments with evolving requirements.
β’ Familiarity with CI/CD pipelines (e.g., Github Actions, Jenkins) for analytics workflows is a plus.
What Youβll Do
β’ Collaborate with data engineers and stakeholders to design, scope, and implement scalable data models.
β’ Improve and standardize BI definitions within the data stack, ensuring consistency and reducing reliance on manual updates.
β’ Refactor and optimize existing data models to enhance performance, usability, and maintainability.
β’ Build high-quality, production-ready datasets that empower analysts and business teams.
β’ Contribute to the long-term vision of a robust, self-service analytics environment






