

Tria
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer with a contract length of over 6 months, offering a competitive pay rate. Key skills include strong SQL, ETL/ELT pipeline design, and cloud data platform experience (AWS preferred).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
250
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🗓️ - Date
August 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Python #Data Architecture #BI (Business Intelligence) #Microsoft Power BI #Datasets #Automation #Cloud #Monitoring #SQL Queries #Data Lake #Data Quality #Spark (Apache Spark) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Engineering #Tableau #"ETL (Extract #Transform #Load)" #PySpark #Scala
Role description
You could be just the right applicant for this job Read all associated information and make sure to apply.
We're looking for an Analytics Engineer to join our client's high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business.
Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment.
What you'll be doing
Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data.
Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics.
Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability.
Implement data quality, monitoring and governance controls to ensure trusted, accurate data.
Collaborate with BI Developers to build backend data models that support performant visualisations.
Work with business stakeholders to understand requirements and translate them into robust technical solutions.
Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices.
What we're looking for
Strong SQL skills with experience building and optimising data models.
Experience designing and maintaining ETL/ELT pipelines.
Experience Working With Cloud Data Platforms (AWS Preferred).
Exposure to data warehousing, data lakes and modern data architecture.
Understanding of workflow orchestration and automation tools.
Python Experience (including PySpark) Is Beneficial But Not Essential.
Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation.
Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
A genuine interest in modern data engineering practices and emerging technologies.
The Team
You'll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you'll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment.
Please note: This is a backend-focused Analytics Engineering role centred around SQL, data modelling and ETL/ELT development. While you'll work closely with BI Developers, this is not a dashboard or reporting development position
You could be just the right applicant for this job Read all associated information and make sure to apply.
We're looking for an Analytics Engineer to join our client's high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business.
Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment.
What you'll be doing
Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data.
Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics.
Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability.
Implement data quality, monitoring and governance controls to ensure trusted, accurate data.
Collaborate with BI Developers to build backend data models that support performant visualisations.
Work with business stakeholders to understand requirements and translate them into robust technical solutions.
Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices.
What we're looking for
Strong SQL skills with experience building and optimising data models.
Experience designing and maintaining ETL/ELT pipelines.
Experience Working With Cloud Data Platforms (AWS Preferred).
Exposure to data warehousing, data lakes and modern data architecture.
Understanding of workflow orchestration and automation tools.
Python Experience (including PySpark) Is Beneficial But Not Essential.
Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation.
Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
A genuine interest in modern data engineering practices and emerging technologies.
The Team
You'll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you'll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment.
Please note: This is a backend-focused Analytics Engineering role centred around SQL, data modelling and ETL/ELT development. While you'll work closely with BI Developers, this is not a dashboard or reporting development position






