At a Glance
- Tasks: Lead the development of a robust data platform and ensure data quality across the organisation.
- Company: A dynamic, data-driven company undergoing transformation.
- Benefits: Competitive daily rate, remote work flexibility, and a chance to shape data strategy.
- Other info: Exciting opportunity for career growth in a fast-evolving tech environment.
- Why this job: Be at the forefront of data innovation and make a significant impact on business operations.
- Qualifications: Strong background in data engineering and experience with cloud platforms like Snowflake and Azure.
We’re partnering with a scaling, data-driven organisation as they invest heavily in their data capability during a period of transformation. The business is evolving from a primarily manual, compliance-led setup into a more product-oriented, technology-enabled operation. Data is a key enabler of that shift, and this contract role will play a central part in laying the foundations.
This is a hands-on Head of Data contract focused on building a joined-up, dependable data platform from a fragmented starting point. You’ll take ownership of data architecture and delivery, working closely with engineering and product leaders to ensure data is reliable, well-modelled, and embedded into core applications.
- Design and own end-to-end data architecture from ingestion through to consumption
- Establish robust data models to support analytics, workflows, and product features
- Introduce data quality, validation, and monitoring practices
- Ensure data is accessible and genuinely useful across the business
- Work closely with engineering teams to integrate data into applications
- Define standards for testing, deployment, and version control
- Collaborate with external partners while shaping longer-term internal capability
- Building and scaling data platforms in SaaS or data-centric organisations
- Strong background in data engineering, modelling, and cloud platforms
- Hands-on experience with tools such as Snowflake, dbt, Azure Data Factory (or equivalents)
- Advanced SQL skills and experience working with complex datasets
- Experience where data underpins customer-facing products
Head of Data (Remote) in Bristol employer: Opus Recruitment Solutions Ltd
As a forward-thinking organisation based in Bristol, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our investment in training and development, ensuring that you have the tools and support needed to excel in your role as Head of Data. With a focus on building a robust data platform, you'll be at the forefront of our transformation journey, making a meaningful impact while enjoying the flexibility of a hybrid working environment.
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data (Remote) in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Head of Data role.
✨Tip Number 2
Showcase your skills! Create a portfolio or a case study that highlights your experience with data architecture and engineering. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with tools like Snowflake and Azure Data Factory, as well as your approach to building scalable data platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Head of Data (Remote) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Data role. Highlight your experience with data architecture, engineering, and any relevant tools like Snowflake or Azure Data Factory. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our transformation. Keep it concise but impactful – we love a good story!
Showcase Your Hands-On Experience:We’re looking for someone who’s not just theoretical but has hands-on experience. Be sure to mention specific projects where you’ve built data platforms or improved data quality. We want to know what you've done in real-world scenarios!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data architecture and engineering. Brush up on your knowledge of tools like Snowflake, dbt, and Azure Data Factory, as well as your SQL skills. Being able to discuss your hands-on experience with these technologies will show that you’re not just a theorist but someone who can get things done.
✨Showcase Your Strategic Vision
This role is about transforming a fragmented data setup into a cohesive platform. Be prepared to discuss your vision for data architecture and how you would approach building robust data models. Think about examples from your past where you’ve successfully implemented similar strategies and be ready to share them.
✨Emphasise Collaboration Skills
Since this position involves working closely with engineering and product teams, highlight your experience in cross-functional collaboration. Prepare examples of how you’ve worked with different teams to integrate data into applications and ensure it’s genuinely useful across the business.
✨Prepare for Technical Questions
Expect some technical questions that will test your knowledge of data quality, validation, and monitoring practices. Brush up on best practices in these areas and be ready to discuss how you would implement them in a real-world scenario. This will demonstrate your readiness to take ownership of the data architecture.
