Job Specifications
Job title: Analytics Engineer
Will the role be 100% remote, hybrid or 100% office? Hybrid – 2-3 days/week
Location: London, UK
Duration of assignment: 6 months contract InsideIR35
Role description:
As an Analytics Engineer, you'll have the chance to write great SQL, design complex data models, collaborate with a talented team, and deliver robust data products alongside Data Architects, Data Scientists, Product Managers, and Data Engineers. You will bridge the gap between data engineering, data architecture and data analysis. Your focus will be on building robust and scalable data workflows to help business functions use internal data assets in an accessible and repeatable manner. This role offers a unique opportunity to combine expertise in architecture, data engineering, and data insights to drive innovation and value creation within our organization.
Key responsibilities:
Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications
Data Transformation and Management: Manipulate raw data, making it more organised and easier to analyse. Involves creating and maintaining data pipelines and transforming data into structured formats suitable for analysis.
Data Quality Assurance: Develop data validation processes to ensure data integrity and accuracy.
Collaboration with Data Teams: Work closely with data engineers, and data architects to ensure seamless data integration across various platforms. This involves coordinating with different teams to implement data solutions that meet business needs.
Developing and Maintaining Data Models: Create and maintain data models that represent complex business processes and entities, which are crucial for generating insights and supporting decision-making.
Automation of Data Processes: Automate repetitive data tasks to improve the efficiency and scalability of data operations. May use scripting languages to streamline data workflows.
Create designs for complex projects (data products), iterating existing components or designing new components as needed.
Influence teams within your area of responsibility to design and build components aligned with the overall roadmap and engineering principles.
Collaborate within teams to contribute to the execution of the organisation's technical strategy, focusing on the development and deployment of data solutions.
Lead outcomes, develop stakeholder relationships, and deliver high-quality insights through data storytelling.
Write code following coding standards and best practices, adhering to a test-driven and behaviour-driven development approach.
Assist in architecting systems, designing efficient data solutions, and facilitating technical decision-making.
Insightful domain knowledge to business problems, recommending and implementing data led approaches.
Ensure high-quality, accurate, and professional outputs that drive real business decisions.
Key skills/knowledge/experience:
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.
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/experience:
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
About the Company
Infoplus Technologies UK Limited is a global IT services company focusing on Enterprise solutions and integration services consulting (SAP/Oracle), MRO Master Data Management, software development, product solutions for education segment, and IT consulting services offering outsourcing solutions to enterprises worldwide. Since inception in 2000, Infoplus has focused on a principle to maximize output for its clients and partners through cost-savings, enhanced productivity and quality.
Headquartered in the United Kingdom, we...
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