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For Companies At a Glance
- Tasks: Gather and analyse data to provide business insights and improve decision-making.
- Company: Join a dynamic team in Coventry focused on data-driven solutions.
- Benefits: Enjoy a competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a culture that values innovation and collaboration while making a real impact.
- Qualifications: Experience with Python, SQL, and data engineering tools is essential.
- Other info: This is a permanent role with one day onsite each week.
Permanent
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
– Coventry – 1 day onsite
– £35k – £40k
Insight: Recognise opportuni es to gather and use our data to provide business insight, iden fying issues and areas for improvement
System Integration: Work with internal colleagues and external partners to ensure accurate data transmission between our various IT systems and pla orms, suppor ng deployment of new systems or system enhancements as necessary.
Collect Data: Ensure our data is being collected accurately and in a mely manner
Store Data: Ensure best prac ce in data storage and security whilst ensuring accessibility
Analyse Data: Extract insights from data to help the business make decisions.
Reporting: Deliver automated and ad-hoc repor ng as necessary to improve business insight and decision making
Informa on Sharing: Support accessibility to key business data for senior management
What You’ll Bring
Technical ability
• Relevant languages: Python, SQL etc.
• Data Engineering/ETL skills: Pipeline Development: Airflow, Fabric, Azure, Logging, API Integra on: REST API, JSON Processing, Data Mapping, Valida on & Quality Controls
• Programs/Tech Stack: SSMS – SQL Server Management Studio, Docker, Apache Airflow, Power BI, Looker Studio, Excel or similar, preferred but not all essen al
• Version Control: Git/Github General
• Retail/supply chain, distribu on or similar background preferable
• Previous experience working in a similar role
• Able to self-manage
• Self-driven and organised
• Good communication
• Attention to detail
Data Insight Engineer employer: Uniting People
Contact Detail:
Uniting People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insight Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and Apache Airflow. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in retail or supply chain sectors. Engaging with them on platforms like LinkedIn can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to drive business insights in previous roles. Being able to articulate your thought process and the impact of your work will demonstrate your value to the team.
✨Tip Number 4
Stay updated on the latest trends and best practices in data storage and security. Showing that you are proactive about learning and adapting to new technologies can impress hiring managers and show your commitment to the role.
We think you need these skills to ace Data Insight Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Insight Engineer role. Emphasise your proficiency in Python, SQL, and any data engineering tools you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the company's needs. Mention specific examples of how you've used data to drive business insights in previous roles.
Highlight Technical Skills: Clearly list your technical abilities, especially those mentioned in the job description such as ETL skills, pipeline development, and familiarity with tools like Apache Airflow and Power BI. This will help you stand out.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Insight Engineer.
How to prepare for a job interview at Uniting People
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in relevant programming languages like Python and SQL during the interview. Be prepared to discuss your experience with data engineering tools and techniques, such as pipeline development and API integration, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've identified issues and implemented improvements in previous roles. This will show your potential employer that you can recognise opportunities for business insight and effectively analyse data to support decision-making.
✨Communicate Clearly
Good communication is key in this role, especially when working with internal colleagues and external partners. Practice explaining complex technical concepts in simple terms, as you'll need to share insights with senior management who may not have a technical background.
✨Be Organised and Self-Driven
Since the role requires self-management, be ready to discuss how you prioritise tasks and manage your time effectively. Share specific strategies or tools you use to stay organised, as this will demonstrate your ability to thrive in a fast-paced environment.
