Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own the analytics layer, build data models, and create impactful dashboards.
- Company: Dynamic data-driven organisation in Central London.
- Benefits: Salary up to £60,000, great benefits, and career growth.
- Why this job: Make a real impact with data and influence strategic decisions.
- Qualifications: Experience with dbt, SQL, Power BI, and Tableau required.
- Other info: On-site role with strong collaboration and visibility across the business.
The predicted salary is between 36000 - 60000 £ per year.
Data Analytics Engineer to take ownership of the analytics layer within a growing, data-driven organisation based in Central London. This is a hands-on role for someone who enjoys building trusted data foundations and then turning them into clear, decision-ready insight. You'll sit at the intersection of data engineering and business intelligence, modelling clean, reliable datasets in dbt and designing impactful dashboards in Power BI and Tableau.
If you care about well-defined metrics, strong governance, and dashboards that genuinely support strategic decisions (not just look good), this role offers real ownership and visibility. You'll lead the development of the analytics layer, building and maintaining robust dimensional models using dbt. You'll create production-ready fact and dimension tables, implement testing and documentation standards, and ensure business metrics are consistent and reliable.
Working closely with stakeholders across product, finance, operations and leadership, you'll translate business questions into structured data models and intuitive dashboards. You'll also collaborate with data engineers to refine upstream data structures and improve overall data quality. This is an on-site role, based in London offering strong collaboration with senior stakeholders and direct influence on decision-making.
You need the following experience:
- Strong experience using dbt in a production environment
- Excellent SQL and solid dimensional modelling expertise (star schemas, metric frameworks)
- Experience with modern cloud warehouses (Snowflake, BigQuery or Redshift)
- Hands-on dashboard development in Power BI and Tableau
- Experience working with Git-based workflows
- Confident engaging with non-technical stakeholders
- Experience in regulated or data-sensitive environments would be advantageous.
If you're looking to build analytics properly with structure, governance and business impact then this role offers you:
- Clear ownership of the analytics layer
- High visibility across the business
- Permanent role offering stability and growth
- Central London location
- Salary up to £60,000 and great benefits.
Data Analytics Engineer Analytics | dbt | Power BI | Tableau | Cloud Data in London employer: Elgin Shaw
Contact Detail:
Elgin Shaw Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer Analytics | dbt | Power BI | Tableau | Cloud Data in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common interview questions related to data analytics. We recommend having a few examples ready that showcase your experience with dbt, SQL, and dashboard development.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any dashboards you've built in Power BI or Tableau. We love seeing real examples of what you can do, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to make an impact in the data world.
We think you need these skills to ace Data Analytics Engineer Analytics | dbt | Power BI | Tableau | Cloud Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with dbt, SQL, and dashboard development in Power BI and Tableau. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Share specific examples of your past work that demonstrate your ability to create impactful dashboards and reliable data models.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with cloud warehouses like Snowflake or BigQuery, and any Git-based workflows you've used. We love seeing candidates who are hands-on and ready to dive into the tech.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Elgin Shaw
✨Know Your Tools Inside Out
Make sure you’re well-versed in dbt, Power BI, and Tableau. Be ready to discuss specific projects where you've used these tools to create impactful dashboards or clean data models. This shows you not only understand the tools but can also apply them effectively.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem on the spot, so brush up on writing queries and working with dimensional models. Highlight any experience with star schemas or metric frameworks to impress your interviewers.
✨Engage with Stakeholders
Since this role involves working closely with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully translated business questions into data insights, as this will show your ability to bridge the gap between tech and business.
✨Understand the Business Impact
Be prepared to discuss how your work in analytics has driven decision-making in previous roles. Think about metrics you’ve defined and how they’ve influenced strategy. This will demonstrate that you care about governance and creating dashboards that genuinely support business objectives.
