At a Glance
- Tasks: Build AI-driven analytics environments and automate insights from data.
- Company: Join Orgvue, a leading platform transforming workforce planning.
- Benefits: Enjoy hybrid working, wellbeing perks, and generous holiday allowance.
- Other info: Diverse culture promoting individualism and excellent career growth.
- Why this job: Make an impact with cutting-edge technology in a dynamic environment.
- Qualifications: Strong SQL skills and experience with data pipelines and Snowflake.
The predicted salary is between 60000 - 75000 € per year.
Orgvue is an organizational design and planning platform that empowers businesses to transform their workforce by understanding the work people do and the skills they have. Our platform connects strategy to structure, providing clarity of vision, so leaders can build a more adaptable, better performing organization that thrives in a constantly changing world of work.
The world’s largest and best-known enterprises and consulting firms use Orgvue to visualize and model current and future states of the organization and make faster, more informed decisions. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney.
The Data & Insight Engineer will build and own an AI-native analytics environment where insights are generated automatically from data rather than manually through dashboards and reports. This role combines data engineering, analytics engineering, and AI-enabled insight generation.
Responsibilities- Build and maintain robust data ingestion and transformation pipelines
- Integrate data from operational systems into the analytics platform
- Maintain data quality frameworks and validation checks
- Optimise performance of data processing and analytics workloads
- Automate recurring analysis traditionally performed manually
- Enable natural-language analytics across curated datasets
- Develop systems that translate business questions into structured data queries
- Design and maintain curated business data models that support reliable analytics and AI-driven insights
- Define core business entities, metrics, and KPI definitions
- Build and maintain semantic layers within Snowflake
- Monitor model performance, accuracy, and cost usage
- Implement safeguards to ensure reliable and explainable outputs
- Maintain governance standards for AI-enabled analytics workflows
- Strong SQL and data modelling expertise
- Experience working with Snowflake
- Experience with analytics engineering tools such as dbt
- Proficiency with Python or similar languages for data workflows
- Experience building and maintaining data pipelines
- Experience translating business questions into analytical models and metrics
- Experience working with analysts, product teams, and business stakeholders to support decision-making
- Experience working with large language models (LLMs) or AI-enabled analytics platforms
- Familiarity with prompt design or AI-assisted analytical workflows
- Familiarity with Snowflake Intelligence
- Hybrid working - 2 days a week in the London office
- Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day
- Subsidised Gym Membership
- Private Medical Insurance (including Dental and Vision) and Life Assurance
- 25 days holiday (increasing to 30 days at a rate of 1 extra day per year)
- Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3%
- Season ticket Loan
- Cycle to Work Scheme
- Annual Discretionary Bonus
Here at Orgvue we promote individualism and a diverse workforce to build on our future success.
Data & Insight Engineer in London employer: Orgvue
Orgvue is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Data & Insight Engineer to thrive. With a hybrid working model, comprehensive wellbeing initiatives, and generous holiday allowances, employees are empowered to maintain a healthy work-life balance while pursuing professional growth through cutting-edge projects in AI and analytics. Located in the vibrant city of London, Orgvue offers a dynamic environment where your contributions directly impact leading enterprises and consulting firms worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insight Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Orgvue. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives you a chance to demonstrate your SQL, Python, and analytics engineering prowess in a tangible way.
✨Tip Number 3
Prepare for the interview by understanding Orgvue’s platform inside out. Familiarise yourself with their AI-native analytics environment and think about how your experience aligns with their needs. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Orgvue.
We think you need these skills to ace Data & Insight Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data & Insight Engineer role. Highlight your SQL skills, data modelling expertise, and any experience with Snowflake. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our AI-native analytics environment. Keep it engaging and personal – we love a good story!
Showcase Relevant Projects:If you've worked on projects that involved building data pipelines or automating insights, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
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. Plus, it’s super easy!
How to prepare for a job interview at Orgvue
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and data modelling, as these are crucial for the Data & Insight Engineer role. Brush up on your experience with Snowflake and be ready to discuss specific projects where you've built or maintained data pipelines.
✨Showcase Your Analytical Skills
Prepare to demonstrate how you've translated business questions into analytical models. Think of examples where you've automated insights or developed systems for natural-language analytics, as this will highlight your fit for the AI insight pipeline development.
✨Familiarise Yourself with the Company
Research Orgvue’s platform and its impact on organisational design. Understanding their mission and how they empower businesses will help you align your answers with their goals during the interview.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the responsibilities of the Data & Insight Engineer position. This shows your genuine interest and helps you gauge if the role aligns with your career aspirations.
