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- Tasks: Lead the design and implementation of a new data management system.
- Company: Join a fast-growing e-commerce client in Manchester transforming their data infrastructure.
- Benefits: Competitive salary, referral bonuses, and potential iPad rewards for client referrals.
- Why this job: Take ownership of a major data transformation and build scalable solutions that impact the business.
- Qualifications: Experience in data management, proficiency in Python and SQL, and strong communication skills required.
- Other info: Opportunity to lead a small team and establish data governance standards.
The predicted salary is between 47000 - 59000 £ per year.
We are currently recruiting on behalf of a fast-growing e-commerce client based in Manchester, who are undertaking a major transformation of their data infrastructure. As part of this evolution, they are seeking a Data Systems Manager to design and implement a new data management system from the ground up.
This is a brilliant opportunity for someone who wants to take ownership of a major data transformation and build a modern, scalable solution from the ground up.
Experience:
- Proven experience in a data-focused role with a strong background in inventory or e-commerce data management.
- Hands-on experience building or significantly overhauling a data system or centralised reporting platform.
- Proficiency in Python for data automation and transformation (e.g. pandas, NumPy).
- Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL).
- Comfortable working with large datasets (CSV/Excel/API-based) and maintaining data integrity across platforms.
- Previous experience working across e-commerce platforms and warehouse/ERP systems.
- Strong communication and stakeholder management skills.
Desirable:
- Exposure to BI/visualisation tools such as Power BI, Looker, or Tableau.
- Familiarity with cloud-based data platforms (e.g. AWS, BigQuery, Snowflake).
- Understanding of API integrations and automated data syncing.
- Knowledge of inventory forecasting or supply chain data structures.
The Role:
This is a pivotal opportunity to lead the development of a new, centralised data system that connects product, inventory, sales, and operational data across multiple platforms and systems. You'll be responsible not only for the technical architecture and development of this system, but also for leading a small team, implementing data best practices, and ensuring high-quality, accurate, and actionable data supports the wider business strategy.
Key Responsibilities:
- Lead the design and implementation of a scalable data infrastructure to consolidate and automate product and inventory data.
- Develop and maintain Python-based scripts and automation pipelines for data cleaning, enrichment, and integration.
- Work closely with e-commerce, warehouse, ERP, and operational systems to ensure smooth data flow and real-time accuracy.
- Line manage a small data support team, offering guidance, training, and process leadership.
- Oversee the creation of dashboards and reporting tools to support business intelligence and operational efficiency.
- Collaborate with internal stakeholders to define data needs and align system functionality with business goals.
- Establish and document data governance, quality standards, and continuous improvement processes.
My client is looking to pay a salary between £55,000 - £70,000 + benefits.
Data Systems Manager - Manchester employer: Circle Recruitment
Contact Detail:
Circle Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Systems Manager - Manchester
✨Tip Number 1
Familiarise yourself with the specific data management tools and technologies mentioned in the job description, such as Python libraries like pandas and NumPy. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your technical proficiency.
✨Tip Number 2
Prepare examples of past projects where you successfully built or overhauled a data system. Highlight your role in these projects and the impact they had on the business, as this will showcase your ability to lead similar initiatives at StudySmarter.
✨Tip Number 3
Brush up on your SQL skills and be ready to discuss how you've used relational databases in previous roles. You might even want to practice writing some queries, as demonstrating your knowledge in this area can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the e-commerce and data management fields, especially those who have experience with cloud-based platforms like AWS or BigQuery. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Systems Manager - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management, particularly in e-commerce and inventory systems. Use specific examples of projects where you've built or overhauled data systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to lead a data transformation. Mention your proficiency in Python and SQL, and how these skills will contribute to the company's goals.
Showcase Relevant Skills: Emphasise your hands-on experience with large datasets and any familiarity with BI tools like Power BI or Tableau. Highlight your communication and stakeholder management skills, as these are crucial for the role.
Follow Application Instructions: Ensure you follow the application instructions carefully. Submit your CV and cover letter through the specified channels, and double-check for any additional documents that may be required.
How to prepare for a job interview at Circle Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, SQL, and data management systems. Bring examples of past projects where you built or overhauled a data system, highlighting your proficiency in tools like pandas and NumPy.
✨Demonstrate Stakeholder Management
Since the role involves collaboration with various teams, be ready to share experiences where you've successfully communicated technical concepts to non-technical stakeholders. This will show your ability to bridge the gap between data and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data integrity or automation and how you resolved them, especially in an e-commerce context.
✨Discuss Data Governance and Best Practices
The role requires establishing data governance and quality standards. Be prepared to talk about your understanding of these concepts and any frameworks or processes you've implemented in previous roles to ensure high-quality data.
