At a Glance
- Tasks: Design and optimise data models for analytics, supporting decision-making across the organisation.
- Company: Join CHEP, a leader in sustainable logistics with a global impact.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse workforce committed to equality and respect.
- Why this job: Make a difference in global sustainability while working with cutting-edge data technologies.
- Qualifications: Experience in data modelling, analytics, and collaboration with diverse teams.
The predicted salary is between 45000 - 55000 £ per year.
CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. You'll help change how goods get to market and contribute to global sustainability. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.
In this role, you will design, implement, and optimise inclusive, high-quality data models and platform performance to enable accurate, efficient analytics and support data-driven decision-making across the organisation. You will collaborate with diverse stakeholders and empower users through technical support, training, and best-practice guidance, ensuring everyone can confidently access, understand, and maximise the value of the platform.
- Design and implement data models and indexes required to support the platform and ensuring that the data is organized and structured in a way that enables efficient and effective analysis.
- Design and implement data models optimized for analytics ensuring high levels of data quality and integrity for accurate analytics outcomes.
- Provide technical support to end users, resolving any technical issues that arise, and ensuring that the platform is functioning effectively and efficiently.
- Migrate data from existing systems into the platform and ensuring that the data is structured and organized in a way that enables effective analysis.
- Monitor the performance of the platform, identifying areas for improvement, and implementing optimizations to ensure that the platform is functioning efficiently and effectively.
- Providing training and support to end users, helping them to understand and use the platform effectively, and ensuring that they are able to extract the maximum value from the platform.
- Stay up to date with the latest developments in the data analytics and business intelligence industries, and ensuring that the platform is configured and optimized to meet the latest standards and best practices.
- Collaborate with cross functional stakeholder groups to align data outputs with dynamic business needs.
Key Requirements
- Semantic modelling + KPI governance: Can design and maintain enterprise KPI definitions and semantic models that remain stable as requirements evolve.
- Has operated a modelling/release process, standards, reviews, and safe rollouts for analytics assets.
- Lakehouse-first analytics delivery: Comfortable building and supporting analytics assets where Databricks is the consumption plane, and data is structured through Raw/Cleansed/Curated layers on AWS S3. Works effectively within Unity Catalog governance and quality controls data contracts + monitoring via Soda.
- BI platform engineering Power BI: proven capability to maintain semantic models at scale and implement pragmatic operational practices, model hygiene and repeatable maintenance.
- Engineering discipline for analytics: Uses version control and follows controlled change/release practices for analytics assets.
Skills and experience
- Experience with dbt-like practices (modular models, tests, docs, CI).
- Familiarity with Microsoft guidance for Power BI lifecycle management and managing change across environments.
Remote Type: Hybrid Remote
Skills to succeed in the role: Adaptability, Data Architecture Development, Data Engineering, Data Integration, Data Integrity, Data Modeling, Data Security, Empathy, Experimentation, Microsoft Power Business Intelligence (BI), Python (Programming Language), Tableau (Software), Taking Ownership, Teamwork, Understand Customers.
We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Brambles and CHEP never conduct interviews via online chat or request money as a term of employment.
Summary
Location: Manchester, Lancashire, United Kingdom
Type: Full time
Remote Engineer:in (m/w/d) in Manchester employer: Brambles
At CHEP, we pride ourselves on being a leading employer that champions sustainability and innovation in supply chain solutions. Our London-based team enjoys a vibrant work culture that promotes flexibility through our Hybrid Work Model, alongside competitive benefits such as a generous share scheme, private healthcare, and ample career progression opportunities. Join us to make a meaningful impact while developing your skills in a supportive environment that values diversity and continuous learning.
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We think this is how you could land Remote Engineer:in (m/w/d) in Manchester
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We think you need these skills to ace Remote Engineer:in (m/w/d) in Manchester
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