Analytics Engineer
Our client, a leading global supplier for IT services, requires Analytics Engineer to be based at their client’s office in London, UK.
This is a hybrid role – you can work remotely in the UK and attend the London office 3days per week .
This is a 6+ month temporary contract to start asap
Day rate: Competitive Market rate
Role Description
Our client is seeking an Analytics Engineer to help advance their data-driven journey. This role offers the opportunity to work with a talented team and cutting-edge technologies such as Data Vault, Azure, AWS, Snowflake, SQL, DBT, and Airflow to deliver innovative, scalable data solutions.
You will play a key role in unlocking the potential of large data sets, enabling data-driven decision-making across the organization. The position combines elements of data engineering, architecture, and analytics, focusing on building reliable data models and workflows for business use.
- Work with modern cloud and data technologies in a dynamic environment.
- Contribute to a major retail data transformation using Snowflake, DBT, SQL, Data Vault, and Azure/AWS.
- Collaborate with Data Architects, Data Engineers, Data Scientists, and Product Managers.
- Enjoy growth opportunities in an innovative, learning-focused culture.
Key Responsibilities
- Bridge Between Technology and Business: Act as a liaison between engineering teams and stakeholders, translating business requirements into clear technical specifications and ensuring delivery of clean, transformed datasets
- Data Transformation & Management: Build and maintain robust data pipelines, transforming raw data into structured, analysis-ready formats
- Data Quality Assurance: Implement validation processes and governance frameworks to ensure data accuracy, consistency, and reliability
- Collaboration Across Data Teams: Partner with Data Engineers, Architects, and Analysts to design and implement integrated data solutions that meet business needs
- Data Modeling: Design, develop, and maintain scalable data models (e.g., Data Vault in Snowflake) that support analytics and business intelligence initiatives
- Automation: Automate repetitive data workflows using scripting and modern orchestration tools to improve scalability and efficiency
- SQL Development: Write and optimize complex SQL queries for performance, scalability, and data integrity
- Monitoring & Maintenance: Proactively monitor production data pipelines, troubleshoot issues, and ensure smooth data operations
- Design & Architecture: Contribute to system architecture, technical design, and development of high-quality data products aligned with engineering best practices
- Collaboration & Leadership: Influence and support cross-functional teams, lead outcomes, and maintain alignment with the organization’s data strategy
- Insight & Impact: Apply analytical and domain knowledge to provide actionable insights, enabling data-driven decision-making and effective data storytelling
- Code Quality & Standards: Write maintainable, well-tested code following best practices and a test-driven development approach
Key Requirements
Essential Skills:
- Proficiency in SQL for data transformation, analysis and problem-solving.
- Snowflake, DBT, Data Modelling, Data Vault, Data warehousing and GitHub
- Understanding of version control systems, continuous integration pipelines, and service-oriented architecture.
- Experience in Retail domain and Data is must.
- Understanding the need for different and appropriate design techniques, such as data vault and data warehousing
- Knowledge of Cloud technologies (AWS or Azure) and scripting languages like Python
- Working knowledge of modern data architecture frameworks, understanding of Architecture & Engineering
- Highly numerate background with the ability to drive business change through data.
- Excellent communication skills, capable of explaining complex information in simple terms using available documentation tools.
- Strong problem-solving skills and attention to detail, with a curiosity to explore opportunities and solve problems logically.
- Delivery of solutions with longevity and maintainability following the latest Agile practices.
- Understanding of Relational (and non-relational) databases and when to use them.
- Standards/ Principles and knowing when and how to implement frameworks and when to make suggestions for new Standards.
- Collaboration & Communication: Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts.
Desirable Skills:
- Knowledge of Data Visualization Tools: Experience with tools such as MicroStrategy / Power BI
- Terraform: Experience with Terraform and Terragrunt for infrastructure as code
- GenAI: Experience with Generative AI technologies
Due to the volume of applications received, unfortunately we cannot respond to everyone.
If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Please do keep an eye on our website https://projectrecruit.com/jobs/ for future roles.
