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 City of 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 City of 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
Showcase your skills! Create a portfolio that highlights your best BI projects, dashboards, and data models. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data strategy. Be ready to discuss how you can contribute to their BI environment and improve their analytics capabilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior BI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior BI Engineer role. Highlight your experience with BI engineering, analytics, and data engineering, especially within a modern data stack. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and built scalable data models or automated ETL pipelines. We love seeing real examples of your work, so don’t hold back on the details that demonstrate your impact!
Be Clear and Concise:When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts, as you would when communicating with non-technical stakeholders. We appreciate clarity just as much as depth!
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. Plus, we love seeing candidates who take that extra step!
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.
