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 data.
- Benefits: Fully remote work, competitive salary, equity options, and flexible hours.
- Other info: Great opportunities for growth and making a real impact.
- Why this job: Join a dynamic team and shape the future of data architecture.
- 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.
Fully Remote - Salary Dependant on Experience (£80,000-£120,000)
As a Data Engineer, you'll design and operate the infrastructure that moves, transforms, and structures data across our systems. You'll work across ingestion pipelines, transformation layers, monitoring, customer onboarding, and analytics while partnering closely with product, engineering, and AI teams. 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
Benefits:
- Flexible working arrangements
- Competitive compensation and potential equity participation
- Opportunities for rapid growth and meaningful impact
Ingegnere Dei Dati employer: SearchWorks
Join a fast-growing, venture-backed technology company that is at the forefront of transforming a complex industry through innovative AI solutions. As a Data Engineer, you will enjoy a fully remote work environment with flexible arrangements, competitive compensation, and the chance to participate in equity opportunities. Our collaborative culture fosters rapid growth and meaningful impact, allowing you to take ownership of your work and influence the evolution of our data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's products. Be ready to discuss how your experience aligns with their needs, especially around data pipelines and AI systems.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Ingegnere Dei Dati
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission. Be sure to mention any hands-on experience with tools like dbt or Spark that you've got up your sleeve.
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you tackle real-world data challenges.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you're keen on joining us at StudySmarter!
How to prepare for a job interview at SearchWorks
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with Python, SQL, and any transformation frameworks like dbt or Spark. They’ll likely ask you to explain how you've built and maintained data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data quality or performance optimisation. Think about times when you implemented monitoring tools or improved data workflows, as these experiences will highlight your hands-on expertise.
✨Understand Their Tech Stack
Familiarise yourself with the cloud data warehouses mentioned in the job description, such as Snowflake or BigQuery. Being able to discuss your experience with these technologies will show that you're not just a fit for the role but also genuinely interested in their operations.
✨Collaborate and Communicate
Since this role involves working closely with product, engineering, and AI teams, be prepared to discuss how you’ve collaborated in the past. Highlight your communication skills and how you ensure alignment across different teams, as this is crucial for success in a fast-paced environment.
