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- Tasks: Prepare and transform data, build models, and deliver insights using Power BI.
- Company: Join a forward-thinking business focused on evolving their data platform.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Combine your passion for data engineering and analytics to drive impactful decisions.
- Qualifications: Strong experience with SQL, dbt, and Power BI required.
The predicted salary is between 130000 - 130000 £ per year.
£500/day (Outside IR35) | 6 Months | Hybrid (1–2 days per week in office)
We’re working with a business looking for an Analytics Engineer to support the evolution of their data platform. This role sits between data engineering and analytics, ideal for someone who enjoys both preparing data and generating insights.
Tech: SQL, dbt, Power BI (Azure a bonus, open to other clouds)
- Prepare and transform data for analysis
- Build and optimise data models (dbt)
- Write efficient SQL queries
- Deliver insights via Power BI
- Support data-driven decision making
- Help improve and mature the data platform
Strong experience as an Analytics Engineer or similar
Strong SQL, dbt, and Power BI experience
Experience across both data engineering and analytics
If you enjoy both building and using data, this could be a great fit.
Implementation Engineer (Software) employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Implementation Engineer (Software)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that sweet Analytics Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, dbt models, and Power BI dashboards. We want to see what you can do, so make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data engineering and analytics. We suggest practising how you’d explain your past projects and the impact they had on decision-making.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours.
We think you need these skills to ace Implementation Engineer (Software)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, dbt, and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in data engineering and analytics makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data preparation or analysis. We love seeing how you approach problems and deliver insights that drive decisions!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, dbt, and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Journey
Prepare to talk about your experience in both data engineering and analytics. Highlight how you've transformed data for analysis and delivered insights that drove decision-making. Use examples that demonstrate your ability to bridge the gap between the two areas.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's data platform evolution. Ask about their current challenges or future goals regarding data maturity. This not only shows your enthusiasm but also helps you gauge if the role is a good fit for you.
✨Practice Problem-Solving Scenarios
Be ready for technical questions or case studies that test your problem-solving skills. Practise explaining your thought process clearly and concisely, as this will demonstrate your analytical thinking and ability to communicate complex ideas effectively.