At a Glance
- Tasks: Build AI-driven analytics environments and automate data insights for impactful decision-making.
- Company: Join Orgvue, a leading platform transforming workforce planning and design.
- Benefits: Enjoy hybrid working, subsidised gym membership, private medical insurance, and 25+ days holiday.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Make a real difference by leveraging cutting-edge technology in a dynamic work environment.
- Qualifications: Strong SQL skills, experience with Snowflake, and a passion for data engineering.
The predicted salary is between 70000 - 90000 £ 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, and integrating Snowflake Cortex capabilities to support conversational analytics and AI-driven business intelligence.
Responsibilities
- 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
- 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
- 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
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StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Orgvue!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Orgvue.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Orgvue.
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Orgvue, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Orgvue. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Orgvue
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Orgvue!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
