At a Glance
- Tasks: Design and build data pipelines, ensuring smooth data flow and quality.
- Company: Fast-growing tech company revolutionising industries with AI and modern data solutions.
- Benefits: Fully remote work, competitive salary, flexible arrangements, and equity opportunities.
- Other info: Great potential for rapid growth and meaningful impact in a collaborative environment.
- Why this job: Join a dynamic team to shape the future of data architecture and AI.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills required.
The predicted salary is between 80000 - 120000 £ per year.
Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure. We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce friction, and create better customer experiences at scale.
We’re looking for a Data Engineer to build and scale the data foundations that power our platform, customer experience, analytics, and AI systems.
This is a hands-on role with meaningful ownership and the opportunity to influence how data architecture evolves as the business scales.
- Design and build reliable end-to-end data pipelines connecting customer systems, internal platforms, and AI-generated outputs.
- Create and maintain transformation layers that convert raw data into trusted, documented datasets.
- Implement monitoring, alerting, and data quality checks to proactively identify issues.
- Lead customer data onboarding by mapping datasets and building scalable integration processes.
- Improve performance and optimize warehouse costs as data volumes grow.
- Collaborate with backend, AI, and product teams to align operational and analytical systems.
- Establish best practices for data modeling, testing, documentation, schema management, and code review.
- Support and improve AI-driven workflows and data capabilities.
Requirements:
- 5+ years of experience in data engineering within production environments.
- Strong Python and SQL skills.
- Hands-on experience with transformation frameworks such as dbt or Spark.
- Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Strong understanding of data modeling principles across analytical and operational systems.
- Experience with monitoring and data quality tooling.
- Familiarity with CI/CD practices and testing for data workflows.
- Comfortable working with emerging technologies, including AI-assisted development tools.
Flexible working arrangements, competitive compensation, and potential equity participation. Opportunities for rapid growth and meaningful impact.
IT Data Architect employer: SearchWorks
As a fast-growing technology company, we offer an exceptional work environment that fosters innovation and collaboration. Our fully remote setup allows for flexible working arrangements, while our competitive compensation package and potential equity participation ensure that your contributions are recognised and rewarded. With ample opportunities for rapid growth and the chance to make a meaningful impact in the evolving field of AI and data architecture, joining our team means being part of a transformative journey in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and cloud data warehouses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising performance – it’s all about demonstrating your hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace IT Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, transformation frameworks, and any relevant projects that showcase your skills in Python and SQL. We want to see how your background aligns with 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 engineering and how you can contribute to our mission at StudySmarter. Be sure to mention any specific experiences that relate to AI and data architecture.
Showcase Your Projects:If you've worked on any interesting data projects, don’t hold back! Include links or descriptions of your work that demonstrate your hands-on experience with cloud data warehouses and transformation tools. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly 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 us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at SearchWorks
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering principles mentioned in the job description. Brush up on your Python and SQL skills, and be ready to discuss your experience with transformation frameworks like dbt or Spark. Having specific examples of how you've built and optimised data pipelines will really impress them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially around data quality and monitoring. Think of a couple of scenarios where you identified issues proactively and how you resolved them. This shows that you can think critically and act decisively, which is key for this role.
✨Collaborate Like a Pro
Since this role involves working closely with product, engineering, and AI teams, be ready to discuss your collaborative experiences. Share examples of how you’ve worked cross-functionally to align operational and analytical systems. Highlighting your teamwork skills will show that you can thrive in their environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data architecture challenges or how they envision the evolution of their data systems. This not only shows your interest but also gives you a chance to demonstrate your knowledge and enthusiasm for the role.
