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For Companies At a Glance
- Tasks: Design and build intelligent reporting solutions using modern cloud technologies.
- Company: Join Insight, a Fortune 500 Solutions Integrator driving digital transformation.
- Benefits: Enjoy competitive pay, growth opportunities, and a supportive work culture.
- Other info: Be part of a high-performing team with genuine opportunities for influence and improvement.
- Why this job: Make a real impact with cutting-edge data technologies in a collaborative team.
- Qualifications: Experience with cloud data tech, Python, SQL, and self-service BI tools.
The predicted salary is between 40000 - 50000 £ per year.
We’re looking for a Data Engineer to join Insight’s Global Business Intelligence team, supporting the delivery of intelligent, scalable reporting and data solutions using modern cloud technologies. At Insight, you’ll be part of a collaborative, forward‑thinking team that plays a key role in supporting strategic and operational decision‑making across the business.
The Role
As a Data Engineer, you’ll be responsible for designing, building and delivering intelligent reporting solutions, working closely with stakeholders across the business to translate requirements into meaningful, high‑quality data outputs. You’ll play a hands‑on role in refining reporting requirements, developing automated data solutions and supporting wider data engineering capability within the team.
What You’ll Be Doing
- Designing, building and delivering moderate to complex reporting solutions using modern cloud technologies
- Working closely with business stakeholders to refine requirements and ensure data accuracy and structure supports effective reporting
- Building views and datasets for reporting, supporting testing and user adoption
- Following best practice and agile methodologies to deliver solutions iteratively and at pace
- Identifying opportunities to automate and improve reporting processes
- Supporting and mentoring Associate Data Engineers, helping to develop team capability
- Producing clear documentation to ensure solutions are reusable and scalable
What We’re Looking For
- Strong experience with cloud data technologies such as Databricks, Azure SQL, Azure Data Warehouse or Azure Data Factory (or similar in AWS/GCP)
- Working knowledge of Python, SQL or R
- Experience with self‑service BI tools such as Power BI (or Qlik, Tableau, Spotfire)
- Solid understanding of data modelling
- Ability to analyse and interpret technical and business data, and present insights to senior stakeholders
- Educated to degree level or equivalent professional experience
- Strong written and spoken English
- Experience building ETL solutions and CI/CD pipelines
- Understanding of Agile delivery (Jira / Confluence)
- A proactive communicator who enjoys working collaboratively across teams
Why Join Insight?
- Work with cutting‑edge cloud and data technologies
- Be part of a global, high‑performing BI team
- Genuine opportunities to influence, automate and improve how data is used across the organisation
- Supportive, collaborative culture with a strong focus on growth and development
Insight is committed to providing equal opportunities for all applicants and recognizes and values the unique talents and perspectives which individuals with disabilities bring to our workplace and we encourage them to apply.
Data Engineer in Sheffield employer: Insight Enterprises, Inc.
Contact Detail:
Insight Enterprises, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current employees at Insight or similar companies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using cloud technologies. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to Insight's goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Insight team.
We think you need these skills to ace Data Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud technologies and data solutions, as these are key for us at Insight. Use specific examples that showcase your skills in Python, SQL, or any relevant tools.
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 team. Mention your understanding of Agile methodologies and your experience with BI tools, as these align perfectly with what we’re looking for.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and deliver reporting solutions. This will help us see your hands-on experience and creativity in action.
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 you’re keen on joining our collaborative culture at Insight!
How to prepare for a job interview at Insight Enterprises, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud data technologies mentioned in the job description, like Databricks and Azure SQL. Brush up on your Python and SQL skills too, as these will likely come up during technical discussions.
✨Understand the Business Context
Familiarise yourself with how data engineering supports business intelligence. Be ready to discuss how you can translate business requirements into effective data solutions, showcasing your ability to communicate with stakeholders.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified opportunities to automate or improve reporting processes in previous roles. This will demonstrate your proactive approach and ability to think critically about data challenges.
✨Emphasise Collaboration
Insight values teamwork, so be prepared to talk about your experience working in collaborative environments. Highlight any mentoring roles you've had, especially if you've supported junior engineers, as this aligns with their team culture.