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 infrastructure.
- Benefits: Fully remote work, competitive salary, flexible arrangements, and equity opportunities.
- Other info: Great career growth potential and the chance to work with cutting-edge technologies.
- Why this job: Join a dynamic team and shape the future of data architecture in a meaningful way.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and cloud experience.
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.
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
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.
Ingegnere dei dati (f/m) employer: SearchWorks
Join a dynamic and innovative technology company that is at the forefront of transforming industries through AI and modern data infrastructure. 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 (f/m)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's GitHub repos or case studies, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s tech stack. Practice common data engineering problems and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers, and applying directly can give you a better chance of getting noticed by our hiring team.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your Python, SQL, and cloud data warehouse experience to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your skills in action!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at SearchWorks
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your hands-on experience with transformation frameworks like dbt or Spark, and how you've used cloud data warehouses such as Snowflake or BigQuery in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data pipelines or data quality issues. Think about times when you implemented monitoring or alerting systems and how that improved the overall data infrastructure.
✨Collaborate Like a Pro
Since this role involves working closely with product, engineering, and AI teams, be ready to discuss your experience in cross-functional collaboration. Highlight any projects where you aligned operational and analytical systems, and how you communicated effectively with different teams.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s data architecture and future plans. This shows your genuine interest in the role and helps you understand how you can contribute to their growth.
