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- Tasks: Join our team to develop innovative data analytics solutions for eCommerce.
- Company: Profitero+, a leading global SaaS commerce platform.
- Benefits: Competitive salary, healthcare, flexible hours, and 25 days off plus bank holidays.
- Why this job: Be part of the eCommerce revolution and turbo-charge your skills and career.
- Qualifications: Bachelor's degree in relevant field and 1+ years of data automation experience.
- Other info: Dynamic hybrid work environment with excellent growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
You are invited to apply for the Junior Data Analytics Engineer role at Profitero+. Profitero is a global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action, enhancing profitable growth. With technology that monitors more than 80 million products daily across 1400+ retailers and 70+ countries, we support brands in optimizing search placement, product content, pricing, stock availability, reviews, and more.
Location: Winnersh Triangle, Reading / White City, London (Hybrid 3 days per week)
Overview
We are inviting a junior Data Analytics Engineer to join our Analytics team that is building a next-generation eCommerce intelligence service for retailers and manufacturers. The role is ideal for someone who embraces challenging tasks, offers innovative technical solutions, and takes initiative.
About the role
You will help develop new analytical services that enable customers to analyze eCommerce data. The work involves collecting, processing, and presenting large volumes of data using Snowflake, dbt, Sigma, and Python. You will also support the migration of existing services to Snowflake, rewriting data pipelines and adjusting dashboards to the new technology stack in collaboration with the BI and Architecture teams.
Responsibilities
- Design and build scalable and resilient Data & Analytics solutions
- Automate data workflows and optimize processing for performance and cost
- Develop new data pipelines and improve existing ones using best practices
- Design efficient, scalable data models for fast and accurate reporting while minimizing cost and query complexity
- Monitor and optimize data warehouse costs with Snowflake's cost‑management tools
- Engage in proof of concepts and experiments
- Coordinate with Infrastructure to secure necessary permissions and share technical insights
Who you are
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, Software Engineering or similar (Master’s a plus)
- 1+ years of related work experience
Technical skills
- Strong knowledge of Python and SQL with at least 1 year of data automation experience
- Hands‑on experience with at least one cloud data warehouse platform: Snowflake, BigQuery, or Databricks. Snowflake dynamic tables, tasks and procedures experience is a plus.
- Hands‑on experience with GitHub Actions or GitLab CI/CD
- Solid understanding of designing and optimizing data pipelines and models in a cloud environment; ETL experience using dbt (or similar tools)
- Experience with BI tools like Power BI, Tableau, Sigma, Looker is a plus
Soft Skills
- Problem‑solving skills with ability to troubleshoot complex data issues
- Excellent communication and collaboration skills
- Diligence and time management
- Automation and performance optimization mindset
- Experience developing solutions in a Cloud environment
- A natural interest in modern data processing technologies and continuous learning
- Passion for rapid development and delivering high‑quality code
Nice to have
- Working experience in an Agile environment (Jira, Asana, Confluence)
- Cloud Experience: AWS, GCP or Azure
- Familiarity with agentic AI and RAG systems
- Experience developing AI‑powered applications, including integration with LLM APIs
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.
Why you want to work at Profitero
We enable our employees to share in the success that results from our commitment to service excellence, high‑quality deliverables and an unparalleled client experience. Our package includes Competitive base salary; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24‑hour online 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.
Equal Opportunity Statement
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.
Data Analytics Engineer employer: Profitero+
Contact Detail:
Profitero+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Profitero+ on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and data pipelines. Practising common interview questions related to these topics will help you stand out.
✨Tip Number 3
Showcase your passion for data! During interviews, share any personal projects or experiences that highlight your problem-solving skills and innovative thinking. This will demonstrate your enthusiasm for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Profitero+ team.
We think you need these skills to ace Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics Engineer role. Highlight relevant experience with Python, SQL, and any cloud data warehouse platforms you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team at Profitero. Be sure to mention any specific projects or experiences that relate to the job description.
Show Off Your Projects: If you've got any personal or academic projects that showcase your data skills, don’t hesitate to include them! We love seeing practical applications of your knowledge, especially if they involve tools like dbt or Snowflake.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Profitero!
How to prepare for a job interview at Profitero+
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Snowflake, dbt, and Python. Brush up on your SQL skills too! Being able to discuss how you've used these technologies in past projects will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Think about specific challenges you faced, the steps you took to resolve them, and the outcomes. This will demonstrate your analytical mindset and ability to troubleshoot effectively.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining technical concepts in simple terms. You might be asked to describe a project or a data pipeline you’ve worked on, so being able to communicate your thought process clearly will set you apart.
✨Embrace Continuous Learning
Profitero values a passion for modern data processing technologies. Be prepared to discuss any recent trends or tools you've been learning about. Showing that you’re proactive about your professional development can really impress your interviewers.
