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 initiatives, and generous holiday allowance.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact by shaping the future of organisational design.
- Qualifications: Strong SQL skills, experience with Snowflake, and a passion for data.
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.
Role Overview
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 include:
- Building semantic data models
- Developing automated insight pipelines
- Integrating Snowflake Cortex capabilities to support conversational analytics and AI-driven business intelligence
Data Pipeline Engineering
- 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
AI Insight Pipeline Development and ownership
- Automate recurring analysis traditionally performed manually
- Enable natural-language analytics across curated datasets
- Develop systems that translate business questions into structured data queries
Semantic Data Modelling
- 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
Governance and Quality Assurance
- Monitor model performance, accuracy, and cost usage
- Implement safeguards to ensure reliable and explainable outputs
- Maintain governance standards for AI-enabled analytics workflows
Required Skills:
- 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
Preferred but not essential:
- 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
Benefits:
- 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 employer: Orgvue
Orgvue is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for Data & Insight Engineers to thrive. With a strong emphasis on employee wellbeing, including access to coaching, fitness sessions, and generous holiday allowances, Orgvue supports personal and professional growth in a dynamic hybrid working environment. Located in London, employees benefit from a vibrant city atmosphere while contributing to cutting-edge AI-driven analytics that empower leading enterprises worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insight Engineer
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Orgvue. A friendly chat can open doors and give you insider info about the company culture and what they really value.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering and analytics prowess. This is your chance to demonstrate how you can build those automated insight pipelines they’re after.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled data quality issues or built data models in the past. They want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data & Insight Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data & Insight Engineer role. Highlight your experience with SQL, data modelling, and any work you've done with Snowflake. 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 tell us why you're passionate about data engineering and AI insights. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially those involving automated insight pipelines or data quality frameworks.
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 get all the updates directly from us. Plus, it shows you're keen on joining our team!
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 how you've built and maintained data pipelines in the past.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to translate business questions into analytical models. Think of specific examples where you've developed automated insight pipelines or worked with analytics engineering tools like dbt, and be ready to share those stories.
✨Familiarise Yourself with AI Insights
Since this role involves AI-enabled insight generation, it’s a good idea to understand how large language models work and how they can be applied in analytics. If you have any experience with AI-assisted workflows, make sure to highlight that during the interview.
✨Engage with the Company Culture
Orgvue values individualism and diversity, so don’t hesitate to express your unique perspective. Research their wellbeing initiatives and be prepared to discuss how you can contribute to a positive team environment while also thriving in a hybrid working setup.
