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- Tasks: Lead the development of data platforms and optimise data pipelines for a data-driven approach.
- Company: Join a forward-thinking team focused on innovative data solutions in a hybrid work environment.
- Benefits: Enjoy a competitive rate, flexible hybrid working, and opportunities for professional growth.
- Why this job: Be part of a skilled team shaping data-driven decisions with cutting-edge technology and impactful projects.
- Qualifications: Experience in data platform development, ETL processes, and familiarity with agile methodologies required.
- Other info: This role offers a chance to work with advanced tools like Splunk and Kafka in a dynamic setting.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid - Sheffield / Birmingham / Edinburgh 3 days per week
Duration: 28/11/2025
Rate: £450 per day - Umbrella Only
Role Description: You will be a technical lead aligned to our Storage & Data Protection Services infrastructure team. Your primary focus will be on building, expanding, and optimising our data platforms. You will develop high performance data products and data pipelines to further enable our data driven approach. You will support the improvement of our data self-service capability, building the technology to allow users to analyse the data they need on demand. You will be a part of a highly skilled, self-organising team whilst building forward-thinking solutions and creating new capabilities to support multiple, cross-functional teams. We are continuously looking to further improve our technology stack, data quality and reliability, and your vision and ambition will contribute to shaping our solutions toward data-driven decisions across the business.
This role will carry out some or all of the following responsibilities:
- Work alongside our SME/Storage Architect to deliver a strategic solution that will uplift our monitoring and alerting capability to higher maturity levels, positioning us to deliver end-to-end observability.
- Support the design of the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using APIs, SQL and big data technologies.
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional/non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability.
- Work with stakeholders to assist with data-related technical issues and delivery.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Keep up-to-date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable. Ensuring compliance with all relevant controls and standards.
We are looking for a candidate with experience in leading/developing a data platform, you should also have hands-on experience in most of the following key areas:
- Working with raw data, structured, semi-structured and unstructured data.
- Experience combining large, disconnected datasets, using relevant tools and frameworks.
- Building and optimising ETL / ELT data pipelines.
- Experience of source control, Continuous Integration, Delivery and Deployment through CICD Pipelines.
- Knowledge and/or experience with Splunk, Kafka & Grafana is beneficial.
- Supporting and working with BI and Analytics teams in a dynamic environment.
- Knowledge of Scrum, Kanban or other agile frameworks.
- Work with Agile methodology, representing the Pod and Area lead in standups and problem-solving meetings.
- Enables SRE culture through solving problems with data engineering.
- Experience working in relevant market/context, i.e. IT in finance, is desirable.
- Able to collaborate and effectively pair with other engineers/architects.
- Strong analytical skills and problem-solving skills.
- Self-awareness with confidence to work independently and take responsibility for own development.
- Excellent written and spoken communication skills – an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences.
- Willingness to undertake the training / study required in this role for new products and services.
Data Architect employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest data technologies and tools mentioned in the job description, such as Splunk, Kafka, and Grafana. Being able to discuss these tools confidently during your interview will demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your experience with ETL/ELT processes by preparing specific examples of projects where you built or optimised data pipelines. This will help you illustrate your hands-on skills and problem-solving abilities effectively.
✨Tip Number 3
Highlight your experience working in agile environments, particularly with Scrum or Kanban methodologies. Be ready to discuss how you've contributed to team dynamics and project success in previous roles.
✨Tip Number 4
Prepare to discuss your approach to data privacy and compliance, especially in relation to cyber security regulations. This is crucial for the role, and demonstrating your knowledge will set you apart from other candidates.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, ETL/ELT processes, and any specific tools mentioned in the job description, such as Splunk or Kafka. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of the role. Mention specific projects where you've built or optimised data platforms and how they align with the company's goals.
Showcase Your Technical Skills: In your application, provide examples of your hands-on experience with data pipelines, APIs, and big data technologies. Highlight any experience you have with agile methodologies and collaboration with BI and analytics teams.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and concise, making it easy for the hiring team to understand your qualifications.
How to prepare for a job interview at Experis - ManpowerGroup
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data platforms, ETL/ELT processes, and the tools mentioned in the job description, such as Splunk, Kafka, and Grafana. Highlight specific projects where you've successfully built or optimised data pipelines.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your analytical and problem-solving abilities. Prepare examples of how you've tackled complex data-related challenges in previous roles, particularly in a dynamic environment like finance.
✨Emphasise Collaboration and Communication
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with BI and Analytics teams. Showcase your ability to communicate complex information clearly to diverse audiences.
✨Familiarise Yourself with Agile Methodologies
As the role requires working within Agile frameworks, brush up on your knowledge of Scrum and Kanban. Be prepared to discuss how you've applied these methodologies in past projects and how they can enhance team productivity.
