At a Glance
- Tasks: Lead the design and development of impactful BI solutions in a fully remote role.
- Company: Join a global, data-driven organisation that values innovation and collaboration.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Work with cutting-edge cloud technologies and enhance your career in a dynamic environment.
- Why this job: Make a real impact on data-driven decisions 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.
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.
- 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.
- 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.
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.
Hands-on expertise with enterprise BI platforms, such as Power BI, Looker or Omni.
Senior Engineer (Projects) in City of London employer: Harnham
As a Senior Engineer in this fully remote role, you will join a globally scaled, data-driven organisation that prioritises innovation and collaboration. The company offers a dynamic work culture with significant investment in its data platform, providing employees with opportunities for professional growth and the chance to make a meaningful impact from day one. With a focus on high-quality data and insights, you will be part of a team that empowers businesses to make informed decisions while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer (Projects) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Senior Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best BI projects, dashboards, and data models. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools. Be ready to discuss your experience with cloud data warehouses and how you've optimised analytics in previous roles. Confidence in your technical skills can make all the difference!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and how you can contribute to our data-driven culture.
We think you need these skills to ace Senior Engineer (Projects) in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior BI Engineer role. Highlight your experience with cloud data warehouses and BI platforms, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about BI engineering and how you can contribute to our data-driven culture. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your SQL capabilities and any experience with ETL/ELT processes. We want to see your hands-on expertise, so include examples of projects where you’ve optimised performance or built scalable data models.
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 during the process.
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of BI engineering and analytics. Brush up on your SQL skills, especially complex transformations and performance optimisation, as these will likely come up during technical discussions.
✨Showcase Your Project Experience
Prepare to discuss your previous projects in detail, particularly those involving cloud data warehouses like Databricks or Snowflake. Highlight how you’ve designed and maintained scalable data models and automated ETL/ELT pipelines.
✨Demonstrate Your Stakeholder Engagement Skills
Since this role involves direct exposure to senior stakeholders, be ready to share examples of how you've effectively communicated complex data insights. Show that you can balance clarity with analytical depth in your reporting solutions.
✨Emphasise Collaboration and Best Practices
Talk about your experience in establishing best practices around data governance and quality. Mention any mentorship roles you've had, as they’ll want to see your ability to raise standards across data modelling and visualisation.
