Analytics Engineer Job at Business Integration Partners (London)

Job Description

We are looking for an Analytics Engineer to join our Data Science and Management team. This role is ideal for someone with experience as a Data Engineer, Analytics Engineer or BI Developer working in a delivery environment. You will work closely with sustainability consultants and analysts to design and implement scalable data solutions that support environmental accounting and sustainability reporting. The role focuses on delivering pragmatic, incremental improvements rather than large-scale platform builds. You will own small-to-medium analytics engineering workstreams end-to-end — from requirement gathering and solution design through to build, validation, documentation and handover. Your work will help transition the organisation from isolated, bespoke analytical tools towards integrated and scalable data platforms.

Job Responsibility

Collaborate with sustainability consultants to understand analytical requirements and business needs, both client-specific and internal
Design, build and maintain reliable ETL pipelines and data models to support sustainability analytics
Develop scalable and robust data and analytical solutions that improve productivity, enable new insights and reduce risk of data errors
Build data models and analytics datasets from scratch and automate pipelines for repeatable data processing
Maintain and iteratively improve existing legacy data solutions while supporting the implementation of new technologies
Contribute to defining and implementing the organisation’s data technology stack and strategy
Develop reusable analytical modules and solutions that can be scaled across projects and integrated into broader software offerings
Ensure solutions are well documented, tested and validated, with appropriate data quality checks
Support knowledge sharing within the team and contribute to the ongoing development of data capabilities across the business
Ensure adherence to data governance, security policies and best practice development standards

Requirements

Strong communication and stakeholder engagement skills, with the ability to collaborate effectively with both technical and non-technical colleagues
Excellent problem-solving and solution design capabilities, adapting existing tools to meet new requirements within defined constraints
Ability to work from informal or evolving briefs, identifying and delivering the most practical and impactful solution
Strong planning and organisational skills, managing workstreams and tracking delivery against objectives
High level of attention to detail, including the ability to identify errors and design robust validation processes
Ability to self-manage workload and priorities to meet agreed deadlines and project goals
Commitment to working within organisational policies, governance and ways of working
Degree in Computer Science or a related discipline, or equivalent practical experience
Strong numerical and analytical skills
Experience designing, building and maintaining DBMS, OLAP and ETL frameworks, including data pipelines and analytics datasets
Strong knowledge of relational databases and dimensional modelling (e.g. star schema)
Fluency in SQL, with working knowledge of Python or R
Experience with Azure Synapse Analytics and/or Microsoft Fabric, including tools such as: Data Factory, Notebooks, ASQL, OneLake
Experience developing data models and visualisations using Excel and Power BI
Understanding of data quality management, testing routines and validation frameworks
Experience implementing version control and deployment processes (e.g. Git and CI/CD)

Nice to have

Experience with Microsoft Office 365 integrations
Previous experience in a consulting environment, particularly working with sustainability data
Experience designing Power BI semantic models and DAX
Experience using Power BI Service for content sharing and governance
Interest in contributing to the development and evolution of a growing data team, with a willingness to adapt and innovate

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Analytics Engineer

Job Description

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