At a Glance
- Tasks: Design and maintain scalable data models and automated pipelines in a cloud environment.
- Company: Global data-driven organisation with a strong culture of collaboration and innovation.
- Benefits: Competitive salary, fully remote work, and impactful projects from day one.
- Other info: Opportunity for mentorship and raising standards in data modelling and visualisation.
- Why this job: Shape the future of data analytics and make a real impact on business decisions.
- 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 SQL Engineer employer: Harnham
As a Senior SQL Engineer at our globally scaled, data-driven organisation, you will thrive in a fully remote environment that champions collaboration and innovation. We offer competitive remuneration, a strong commitment to employee growth through mentorship opportunities, and the chance to make a meaningful impact from day one by shaping our BI and analytics landscape. Join us to be part of a culture that values high-quality data insights and empowers you to drive strategic decisions across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Senior SQL Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with BI and data engineering. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best SQL queries, dashboards, and any cool projects you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common BI and SQL questions. Practice explaining your thought process when solving problems, as this will demonstrate your analytical depth and clarity.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application super easy for both you and us.
We think you need these skills to ace Senior SQL Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior SQL Engineer role. Highlight your advanced SQL capabilities and any experience with cloud data warehouses like Databricks or Snowflake.
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. Share specific examples of your past work that align with the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in SQL and BI platforms. We want to see your hands-on experience with tools like Power BI or Looker, so make sure to include relevant projects you've worked on.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex transformations, window functions, and performance optimisation techniques. Practising some real-world scenarios can help you articulate your thought process during technical questions.
✨Showcase Your BI Experience
Highlight your experience with BI engineering and analytics. Prepare examples of how you've designed and built scalable data models or automated ETL pipelines. Discuss any executive-level dashboards you've developed and how they impacted decision-making in your previous roles.
✨Understand Their Data Culture
Research the company’s approach to data governance and quality. Be ready to discuss best practices you've implemented in past roles. Showing that you understand their emphasis on a trusted single source of truth will demonstrate your alignment with their values.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around cloud data warehouses like Databricks or Snowflake. Brush up on your knowledge of enterprise BI platforms such as Power BI or Looker, and be ready to explain how you've used them to deliver insights effectively.
