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- Tasks: Design and maintain scalable data infrastructure for impactful AI solutions.
- Company: Join Knovia, a forward-thinking tech company transforming education with data.
- Benefits: Up to £60,000 salary, generous annual leave, and remote work options.
- Why this job: Make a real-world impact by building modern data platforms.
- Qualifications: 3+ years in Data Engineering with cloud platform experience.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
At Knovia, we are transforming how data enables intelligent systems, automation, and AI across education and skills. You will join a forward-thinking team building the foundations for scalable, ethical, and impactful data solutions. If you are excited about designing modern data platforms that drive real-world impact, we would love to hear from you.
Knovia Group is building a next-generation data platform to power intelligent automation, AI-enabled services, and real-time insight across our organisation. We are looking for an experienced Data Engineer to design, develop, and maintain the scalable data infrastructure that underpins our transformation. You will integrate disparate systems, modernise architecture, and help establish a secure, future-proof data platform that turns data into a strategic asset.
This is an opportunity to play a pivotal role in delivering Knovia's mission to ensure AI leaves no one behind, with key role responsibilities including:
- Data Engineering
- Design, build, and maintain scalable ETL/ELT pipelines from multiple internal and external sources
- Develop reliable batch and streaming data ingestion processes
- Build and manage data warehouses, data lakes, and lakehouse architectures
- Implement automated data quality frameworks, testing, monitoring, and alerting
- Optimise performance, scalability, and cost-efficiency across the data platform
- Ensure infrastructure supports analytics, automation, and AI workloads
- Contribute to the design and evolution of modern, cloud-based data architectures
- Apply best-practice data modelling (dimensional, relational, semantic, data vault where appropriate)
- Participate in architectural reviews and technical roadmapping
- Lead proof-of-concept initiatives for new tools, frameworks, and cloud-native services
- Document architecture, data flows, and technical decisions
- Embed strong data governance practices
- Implement metadata management, cataloguing, and lineage tracking
- Support GDPR, data protection, retention, and access control requirements
- Champion security, privacy, and data ethics best practices
- Work cross-functionally with Engineering, IT, Analytics, and AI teams
- Partner with Integration & Automation Specialists to build APIs and event-driven pipelines
- Translate business requirements into scalable technical solutions
- Contribute to a collaborative engineering culture (code reviews, knowledge sharing)
What we need from you:
- Degree in Computer Science, Data Engineering, Mathematics, or related field (or equivalent experience)
- Minimum 3 years' experience in a Data Engineer role
- Proven experience building cloud-based data platforms
- Hands-on experience with: SQL and Python, ADF, Airflow, or similar orchestration tools, Databricks, Snowflake, Microsoft Fabric, or similar platforms, ETL/ELT frameworks, Azure or equivalent cloud environments
- Experience supporting BI, analytics, ML, or automation workloads (desirable)
- Strong understanding of modern data architectures (lakehouse, streaming, API-driven)
- Solid grasp of data modelling principles
- Strong debugging, optimisation, and problem-solving capability
- Confident communicator with both technical and non-technical stakeholders
- Collaborative mindset with a passion for building modern data ecosystems
We have a number of benefits available and all colleagues benefit from our standard benefits including; Generous Annual Leave: 25 days, increasing with length of service, and 8 Public Holidays.
Data Engineer in Bristol employer: Paragon Skills
Contact Detail:
Paragon Skills Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Knovia. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data platforms or ETL processes. This will give you an edge and show us what you can really do.
✨Ace the Interview
Prepare for technical questions by brushing up on SQL, Python, and cloud-based data platforms. We love candidates who can think on their feet, so practice problem-solving scenarios related to data engineering.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way for us to see your application and get you in front of the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at Knovia. Highlight your experience with cloud-based data platforms and any relevant projects that showcase your skills in SQL, Python, and ETL/ELT frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about transforming data for intelligent systems and how your background aligns with Knovia's mission. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Databricks, Snowflake, or Azure. Be specific about your contributions to previous projects and how they relate to the responsibilities listed in the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to submit all your documents in one go. We can’t wait to see your application!
How to prepare for a job interview at Paragon Skills
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around ETL/ELT processes and cloud-based platforms like Azure or Snowflake. Be ready to discuss specific projects where you've built scalable data solutions, as this will show your hands-on experience.
✨Understand the Company’s Mission
Familiarise yourself with Knovia's mission to ensure AI leaves no one behind. Think about how your role as a Data Engineer can contribute to this goal and be prepared to share your thoughts during the interview.
✨Prepare for Technical Questions
Expect technical questions that dive deep into data modelling principles and modern architectures. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Show Your Collaborative Spirit
Knovia values teamwork, so be ready to discuss how you've worked cross-functionally in the past. Share examples of how you've partnered with other teams, like Engineering or Analytics, to deliver successful data solutions.