At a Glance
- Tasks: Design and maintain scalable data models and dashboards for impactful analytics.
- Company: Global tech organisation focused on data-driven decision making.
- Benefits: Competitive salary, fully remote work, and a collaborative culture.
- Other info: Opportunity for mentorship and growth in a dynamic environment.
- Why this job: Shape the future of data analytics and make a real impact from day one.
- Qualifications: Strong experience in BI engineering and advanced SQL skills required.
The predicted salary is between 65000 - 65000 € per year.
This is an opportunity to take ownership of a modern BI and analytics environment within a globally scaled, data-driven organisation. You will play a key role in shaping how data is modelled, visualised, and consumed across the business, with direct exposure to senior stakeholders and meaningful impact from day one.
The Company
They are a technology-led organisation operating at global scale, enabling businesses to make better decisions through high-quality data and insights. Data sits at the core of everything they do, supporting commercial strategy, product development, and performance measurement. With a strong culture of collaboration and innovation, they invest heavily in their data platform and analytical capability.
The Role
- Design, build, and maintain scalable data models and automated ETL or ELT pipelines within a cloud data warehouse environment.
- Lead the development of executive-level dashboards and self-serve reporting solutions that balance clarity with analytical depth.
- Partner with stakeholders across non-technical teams to define KPIs and translate business questions into robust analytical solutions.
- Establish best practices around data governance, documentation, and quality to ensure a trusted single source of truth.
- Optimise SQL queries and BI assets to deliver high-performing, low-latency analytics at scale.
- Provide technical guidance through code reviews and mentorship, raising standards across data modelling and visualisation.
Your Skills and Experience
- Strong commercial experience in BI engineering, analytics engineering, or data engineering within a modern data stack.
- Advanced SQL capability, including complex transformations, window functions, and performance optimisation.
- Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery.
- Deep understanding of dimensional modelling techniques and tools such as dbt.
- Hands-on expertise with enterprise BI platforms, such as Power BI, Looker or Omni.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Senior BI Engineer in London employer: Harnham
As a Senior BI Engineer at this globally scaled, technology-led organisation, you will thrive in a fully remote environment that champions collaboration and innovation. The company prioritises employee growth through continuous investment in its data platform and analytical capabilities, offering you the chance to make a meaningful impact from day one while enjoying a supportive work culture that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its data culture, and be ready to discuss how your skills in BI engineering can make an impact. Practise common interview questions and think of examples that showcase your experience with SQL and cloud data warehouses.
✨Tip Number 3
Showcase your work! Create a portfolio of your BI projects, dashboards, and any relevant analytics work. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance of getting noticed. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior BI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior BI Engineer. Highlight your experience with BI engineering, analytics, and any cloud data warehouses you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our data-driven culture. Don't forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your advanced SQL capabilities and experience with BI platforms like Power BI or Looker. We love seeing examples of how you've optimised queries or built dashboards that made an impact!
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the data stack and tools mentioned in the job description. Brush up on your SQL skills, especially complex transformations and performance optimisation techniques. Being able to discuss specific examples of how you've used these skills in past roles will really impress.
✨Showcase Your BI Projects
Prepare to talk about your previous BI projects, particularly those involving cloud data warehouses like Databricks or Snowflake. Highlight your role in designing dashboards or reporting solutions, and be ready to explain how you translated business questions into analytical insights.
✨Communicate Clearly
Since the role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of a few examples where you successfully communicated technical details to a non-technical audience, as this will demonstrate your ability to bridge the gap.
✨Emphasise Collaboration and Best Practices
The company values collaboration and best practices in data governance. Be prepared to discuss how you’ve established best practices in your previous roles, and share examples of how you’ve worked with cross-functional teams to ensure data quality and a single source of truth.
