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- Tasks: Lead BI and data engineering projects to create impactful digital systems.
- Company: Join STEM Learning, a leader in Tech for Good, dedicated to making a difference.
- Benefits: Enjoy up to £65,000 salary, 38 days holiday, pension, and hybrid working.
- Why this job: Make a real impact on young people's lives while collaborating with an amazing team.
- Qualifications: Experience in BI and data engineering is essential.
- Other info: Work in a supportive environment focused on innovation and social change.
The predicted salary is between 52000 - 78000 £ per year.
Up to £65,000 + 38 Days Holiday + Pension
York, Hybrid Working, 37 hour week
Are you an experienced BI & Data Engineer looking to work in the Tech for Good space? Do you want to collaborate with an amazing team to develop digital systems that make a real difference to young people?
WRK digital is delighted to be working in exclusive partnership with STEM Learning.
BI & Data Engineering Lead employer: WRK DIGITAL LTD
Contact Detail:
WRK DIGITAL LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI & Data Engineering Lead
✨Tip Number 1
Familiarise yourself with the latest BI and data engineering tools and technologies. Being well-versed in platforms like Power BI, Tableau, or SQL can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the Tech for Good sector. Attend relevant meetups or webinars to connect with people who work in similar roles, as they might provide insights or even referrals.
✨Tip Number 3
Showcase your passion for making a difference through data. Be prepared to discuss any projects or initiatives you've been involved in that align with the mission of STEM Learning and how they benefited young people.
✨Tip Number 4
Prepare for technical interviews by brushing up on your problem-solving skills. Practice common data engineering scenarios and be ready to demonstrate your analytical thinking during discussions.
We think you need these skills to ace BI & Data Engineering Lead
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences required for the BI & Data Engineering Lead position. Tailor your application to highlight how your background aligns with these requirements.
Craft a Compelling CV: Ensure your CV is up-to-date and clearly outlines your relevant experience in BI and data engineering. Use bullet points to make it easy to read, and quantify your achievements where possible to demonstrate your impact.
Write a Strong Cover Letter: In your cover letter, express your passion for working in the Tech for Good space and how you can contribute to the mission of STEM Learning. Be specific about your previous projects and how they relate to the role.
Proofread Your Application: Before submitting, thoroughly proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at WRK DIGITAL LTD
✨Show Your Passion for Tech for Good
Make sure to express your enthusiasm for working in the Tech for Good space. Share examples of how your previous work has positively impacted others, especially young people, as this aligns with the company's mission.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with BI and data engineering tools. Highlight specific projects where you successfully implemented data solutions, and be ready to answer technical questions that showcase your expertise.
✨Emphasise Team Collaboration
Since the role involves working with a team, share experiences that demonstrate your ability to collaborate effectively. Discuss how you’ve worked with cross-functional teams to achieve common goals, particularly in a digital environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of making a difference.
