Business Intelligence jobs in United Kingdom

Profitero is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1400+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Now’s an exciting time to join our fast-growth business.

Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment while giving our employees an incredible launchpad for their careers. Profitero’s tech and data combined with Publicis’ tech, data and activation services positions us to be a true end-to-end partner for helping brands maximise eCommerce market share and profits.

Come be a part of our fast-paced, entrepreneurial culture and next stage of growth.

either Winnersh Triangle, Reading or White City, London / (hybrid)

We are inviting a Data Analytics Engineer to join our Analytics team that is creating a next-generation eCommerce intelligence service for retailers and manufacturers. We will be happy to welcome new team members who are not afraid of non-trivial tasks, can offer non-standard technical solutions, and take initiative.

We are developing a new portfolio of analytical services to allow our customers to analyse eCommerce data. The process behind this development includes collection, processing, and presenting a big amount of data to the customer. It is developed using Snowflake, dbt, Sigma, and Python.

Profitero provides customers with data on how products perform online from various angles: prices, availability, placement, ratings and reviews, product content, etc. Customers can use dashboards, our web application or API connection to Snowflake to get information about products performance online.

The migration of existing services to Snowflake will cause us to rewrite certain data pipelines to adjust our client dashboards to the new technology stack. The data engineer in this team will be responsible for implementing those pipelines working with the BI team and Architecture team.

• Design and build scalable and resilient Data & Analytics solutions
• Automate data workflows and optimize data processing for performance and cost
• Design and development of new data pipelines. Improvement of existing data pipelines by using data engineering best practices.
• Design and develop efficient, scalable data models that enable fast and accurate reporting while minimizing cost and query complexity
• Monitor and optimize data warehouse costs, leveraging Snowflake's cost management tools to ensure efficient data processing and storage usage
• Engage in proof of concepts and experiments
• Coordinate with the Infrastructure team to secure necessary permissions and exchange technical insights that enhance the Analytics data environment.

• Bachelor's degree in Computer Science, Data Engineering, Data Science, Software Engineering or similar. A master’s degree is a plus.
• 1+ years of related work experience

• Strong knowledge of Python and SQL with a minimum of 1+ years of practical experience in data automation.
• Hands‑on experience with at least one cloud data warehouse platform: Snowflake, BigQuery, or Databricks. Knowledge of Snowflake dynamic tables, tasks and procedures is a plus.
• Hands on experience with Github Actions/ Gitlab ci‑cd.
• Solid understanding of designing and optimising data pipelines and data models in a cloud environment. Experience in setting up ETL processes using dbt (or similar tools such as Dataform or Dagster).
• Experience with BI tools like Power BI, Tableau, Sigma, Looker, or similar is a plus.

• Strong problem‑solving skills with the ability to troubleshoot and resolve complex data issues.
• Excellent communication and collaboration skills
• Diligence and time management

• Ability to automate data workflows and optimize data processing for performance and cost.
• Experience developing solutions in a Cloud environment
• A natural interest in modern data processing technologies and the ability to learn new things
• Passion to get into the development process quickly and deliver good quality code

• Working experience in an Agile environment (Jira, Asana, Confluence)
• Cloud Experience: AWS, GCP or Azure.
• Familiarity with agentic AI and RAG systems is a plus.
• Experience developing AI‑powered applications, including integrating with LLM APIs is a plus.

The above lists are not exhaustive, and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post.

We want our employees to have an opportunity to share in the success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience.

We hire only the best and provide the compensation and benefit programs appropriate for proven top‑performing professionals. We want our employees to have an opportunity to share in the financial success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience.

Our package include; competitive base salary; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24 hour on‑line GP; company pension; cycle to work scheme; 25 days off + bank holidays + birthdays off; reduced gym membership; social events; employee referral scheme; personal development plans; Profitero Hero scheme; flexible working hours.

Profitero is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment. Profitero recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected characteristics as required by applicable law.

Be part of a company on the forefront of eCommerce revolution where you will learn a lot and be a catalyst to turbo‑charging your skills, experience and career.