Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain backend systems and data pipelines for AI solutions.
- Company: Join a Fortune 500 leader in digital transformation with a global presence.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Dynamic team environment with excellent growth potential and innovative projects.
- Why this job: Be at the forefront of AI technology and make a real impact on business solutions.
- Qualifications: Experience in backend and data engineering, with strong database management skills.
The predicted salary is between 50000 - 70000 £ per year.
Insight Enterprises, Inc. is a Fortune 500 solutions integrator helping organizations accelerate their digital journey to modernize their business and maximize the value of technology. Insight’s technical expertise spans cloud and edge-based transformation solutions, with global scale and optimization built on 33+ years of deep partnerships with the world’s leading and emerging technology providers.
We are seeking a highly skilled and motivated Backend + Data Engineer to join our AI Coach development team. In this role, you will be designing, building, and maintaining our backend infrastructure and data pipelines that power our core applications and data analytics capabilities. You will collaborate closely with cross-functional teams including frontend, AI engineering and product managers, and frontend developers to deliver scalable, reliable, and efficient solutions. This position requires a strong foundation in backend systems, proficiency in database management, and expertise in data engineering to handle large datasets and ensure data quality and availability. You will have the opportunity to work on new Insight initiatives to bring AI solutions to the wider Insight sales community.
Responsibilities
- Design, develop, and maintain backend services and APIs to support business applications.
- Build and optimize scalable data pipelines and ETL processes to ingest, process, and transform large volumes of data.
- Ensure data quality, integrity, and consistency across multiple data sources and databases.
- Collaborate with data scientists and analysts to enable efficient data access and analysis.
- Implement monitoring, alerting, and performance tuning for backend systems and data workflows.
- Participate in architectural discussions and contribute to technology roadmap decisions.
- Troubleshoot and resolve backend and data-related issues promptly to minimize downtime.
- Develop and maintain documentation for backend systems and data engineering processes.
Requirements
- Proven experience as a backend engineer and data engineer or in a combined role.
- Strong understanding of relational and NoSQL databases, including experience with query optimization.
- Hands‑on experience with data pipeline and workflow management tools like Apache Airflow or similar.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and associated data services.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Excellent problem‑solving skills and ability to work independently and in a team environment.
- Strong communication skills to collaborate effectively across multiple teams.
Data Engineer employer: Insight
Contact Detail:
Insight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 Insight. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving backend systems or data pipelines. Let them see what you can do in action!
✨Tailor Your Approach
Every company is different, so make sure you understand Insight’s values and tech stack. When you’re talking to them, highlight how your experience aligns with their needs, especially in cloud and data engineering.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows you're genuinely interested and gives you a better chance of being noticed by the hiring team. Plus, it’s super easy to do!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with backend systems, data pipelines, and any relevant technologies like AWS or Apache Airflow. We want to see how your skills match 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 this role and how your background makes you a great fit. Don’t forget to mention any collaborative projects you've worked on with cross-functional teams, as teamwork is key for us.
Showcase Your Projects: If you've worked on any cool projects related to data engineering or backend development, make sure to include them! We love seeing real examples of your work, especially if they demonstrate your problem-solving skills and ability to handle large datasets.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Insight
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like relational and NoSQL databases, Apache Airflow, and cloud platforms. Brush up on your knowledge of Docker and Kubernetes too, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Insight Enterprises values excellent problem-solving skills, so having concrete examples ready will demonstrate your capability and fit for the team.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, be ready to talk about your experience collaborating with data scientists, analysts, and product managers. Highlight any successful projects where teamwork made a significant impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and how they plan to leverage data engineering in their projects. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.