At a Glance
- Tasks: Build scalable analytics and data models using Power BI and Databricks.
- Company: Howden, a leader in innovative analytics solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for career advancement.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: Experience in data engineering and proficiency in Power BI and Databricks.
The predicted salary is between 50000 - 65000 € per year.
Howden is seeking a Data Engineer to enhance our analytics capability. This individual-contributor role focuses on building scalable analytics through effective data modeling, supported by Power BI and Databricks practices.
You will collaborate with analysts and stakeholders to define datasets that underpin analytics delivery across Howden Markets, while providing technical leadership and mentorship to the data team.
Data Engineer - Analytics, Power BI & Databricks employer: Howden
Howden is an excellent employer that fosters a collaborative and innovative work culture, where data engineers can thrive in their roles. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to work with cutting-edge technologies like Power BI and Databricks. Located in a dynamic environment, Howden offers a supportive atmosphere that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Analytics, Power BI & Databricks
✨Tip Number 1
Network like a pro! Reach out to current employees at Howden on LinkedIn or through industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with Power BI and Databricks. We want to see how you’ve tackled data challenges and built scalable analytics solutions.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data modelling and analytics concepts. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Analytics, Power BI & Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data modelling, Power BI, and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing analytics capabilities and how you can contribute to our team at Howden. Keep it engaging and personal.
Showcase Collaboration Skills:Since this role involves working closely with analysts and stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on data projects. We love teamwork!
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’s super easy!
How to prepare for a job interview at Howden
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and Databricks. Brush up on your knowledge of data modelling techniques and be ready to discuss how you've used these tools in past projects. This will show that you can hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analysts and stakeholders, prepare examples of how you've successfully collaborated in the past. Think about specific projects where your teamwork made a difference and be ready to share those stories.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and analytics. Review common data structures, algorithms, and best practices in data modelling. Being able to articulate your thought process will impress the interviewers.
✨Demonstrate Leadership Potential
Even though this is an individual-contributor role, showing that you can provide technical leadership and mentorship is key. Prepare to discuss any experiences where you’ve guided others or taken initiative in your previous roles.
