At a Glance
- Tasks: Design and implement data solutions for personalised customer experiences while ensuring data quality.
- Company: Join a forward-thinking consultancy in the heart of London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make an impact by transforming raw data into actionable insights and engaging visualisations.
- Qualifications: Experience in data modelling, dbt, and customer data analytics required.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for an Analytics Engineer who will design and implement customer data solutions that enable personalised experiences while ensuring privacy, quality, and accessibility of customer information across all touchpoints.
Length: 12 months
Location: London, UK
Environment: Hybrid - 2-3 days in the office
Key responsibilities:
- Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
- Implement data quality tests and monitoring to ensure accuracy and reliability
- Optimise query performance using effective data modelling and materialisation strategies
- Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
- Build interactive dashboards and reports that empower self-service analytics
- Design visualizations that clearly communicate complex data stories to both technical and non-technical audiences
What is required to be successful in this role:
- Experience in data modelling, dbt, data visualisations
- Customer data background
- Experience with Snowflake, Databricks, or similar data platforms
- Proficiency in Looker or similar BI tools (Tableau, Power BI)
Data Engineer Consulting employer: Morson Edge (Technology)
Join a forward-thinking company in London that values innovation and collaboration, offering a hybrid work environment that promotes work-life balance. As a Data Engineer Consultant, you'll have the opportunity to develop your skills in cutting-edge technologies while contributing to meaningful projects that enhance customer experiences. With a strong focus on employee growth and a culture that encourages creativity and teamwork, this is an excellent place for professionals looking to make a significant impact in the data analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Consulting
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any cool projects you've worked on. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with dbt, Snowflake, and data visualisations. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer Consulting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer Consulting role. Highlight your experience with data modelling, dbt, and any relevant customer data projects. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've developed dbt models or built interactive dashboards. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Morson Edge (Technology)
✨Know Your Data Tools
Make sure you brush up on your experience with dbt, Snowflake, and Looker. 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 Analytical Skills
Prepare to talk about your experience with exploratory data analysis. Think of examples where you identified trends or anomalies that had a significant impact on business decisions. This will demonstrate your ability to turn data into actionable insights.
✨Communicate Clearly
Since you'll be designing visualisations for both technical and non-technical audiences, practice explaining complex data stories in simple terms. You might even want to prepare a mini-presentation to showcase your communication skills during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and how they ensure data quality and privacy. This shows your genuine interest in the role and helps you understand if the company aligns with your values.
