At a Glance
- Tasks: Transform raw data into trusted datasets and build interactive dashboards.
- Company: Join Currys, a leading tech retailer with a commitment to diversity.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on inclusion and career development.
- Why this job: Make an impact by turning complex data into actionable insights.
- Qualifications: 4+ years in analytics, strong SQL skills, and experience with dbt.
The predicted salary is between 55000 - 65000 € per year.
Role overview:
- 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.
- Support self‑service analytics by building reusable, high‑quality data models.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Collaborate with data engineers to define requirements for new data sources and pipelines.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance.
- Build interactive dashboards and reports that empower self‑service analytics.
- Design visualisations that clearly communicate complex data stories to both technical and non‑technical audiences.
What you’ll bring:
- Strong SQL skills with experience in complex data transformations, CTEs and window functions.
- Expertise with dbt and modern analytics engineering tools.
- Solid understanding of dimensional modelling and data warehousing concepts.
- Experience with Git‑based workflows for version control and collaboration for analytics.
- Knowledge of data testing frameworks and quality assurance practices.
- Experience with Snowflake, Databricks or similar data platforms.
- Proficiency in Looker or similar BI tools (Tableau, Power BI).
- Strong analytical thinking and problem‑solving abilities.
- Excellent communication skills with ability to present findings to diverse audiences.
Experience Required:
- 4+ years of experience in a data analyst or analytics engineer role.
- Degree in Computer Science, Analytics or a related technical field highly desirable.
- dbt & Analytics platform certification beneficial.
Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and we'll do our best to help.
Senior Analytics Engineer in London employer: Dixons Carphone
At Currys, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation at our London Campus in Waterloo. As a Senior Analytics Engineer, you will benefit from continuous professional development opportunities, a commitment to diversity and inclusion, and the chance to work with cutting-edge technologies in a supportive environment that values your contributions and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Currys. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dbt models, dashboards, and any cool projects you've worked on. This gives us a tangible way to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and analytics concepts. We love candidates who can dive deep into data discussions, so be ready to showcase your analytical thinking and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL skills and experience with dbt. We want to see how your background aligns with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Analytics Engineer role. Share your passion for data and how you’ve used analytics to drive business decisions in the past.
Showcase Your Technical Skills:Don’t forget to mention your experience with data platforms like Snowflake or Databricks. We love seeing candidates who can demonstrate their technical prowess, especially with tools like Looker or Tableau!
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 Dixons Carphone
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex data transformations, CTEs, and window functions. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your dbt Expertise
Since this role heavily involves dbt, be ready to talk about your experience with it. Prepare examples of how you've used dbt to create reliable datasets and any challenges you faced while implementing data quality tests. This will demonstrate your hands-on knowledge and problem-solving abilities.
✨Communicate Clearly
You’ll need to present findings to both technical and non-technical audiences, so practice explaining complex data concepts in simple terms. Think of a few examples where you successfully communicated insights and how that impacted decision-making.
✨Collaborate and Connect
This role requires collaboration with cross-functional teams, so be ready to discuss your experience working with others. Share specific instances where you translated business requirements into technical solutions, and highlight your teamwork skills to show you’re a great fit for their culture.
