At a Glance
- Tasks: Join our team to develop AI-driven analytics and data models that make a real impact.
- Company: Crisp, a forward-thinking tech company focused on collaboration and innovation.
- Benefits: Competitive pay, growth opportunities, and a supportive work environment.
- Other info: Dynamic culture that values collaboration, creativity, and personal growth.
- Why this job: Shape the future of analytics while working with cutting-edge AI technologies.
- Qualifications: Experience in PowerBI, BigQuery, and a passion for data storytelling.
The predicted salary is between 36000 - 60000 £ per year.
Here at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply and solve them together. Come join us, and help build the type of business you’d like to be a part of.
Our Focus on Agentic AI
At Crisp, we are increasingly focused on Agentic AI, using intelligent autonomous agents to drive decision-making, automation, and insights for our customers. This includes integrating AI-powered agents into our analytics workflows, enabling faster data exploration, contextualized recommendations, and automated actions based on real-time business signals. As part of this role, you will have opportunities to work alongside our AI initiatives, influencing how these technologies are embedded into our BI and data platform to unlock new levels of efficiency and value for our customers. This is an evolving role with ample opportunity for growth if you play to your strengths.
Required Skills:
- PowerBI, including Tabular Editor for semantic model development and optimization
- BigQuery for querying and working with large-scale datasets in our cloud data warehouse
- dbt for data transformation and modeling
- GitHub for version control and peer collaboration
- Jira for agile work tracking
- Azure DevOps for CI/CD workflows and deployment of analytics components
Signs of a Great Candidate for a Sr. Software Engineer (Analytics & Data Modeling):
- Focus on the business problem. You are passionate about using visualizations to tell stories and glean actionable insights.
- A strong sense of aesthetics and user experience. You feel strongly about not just making Business Intelligence visually appealing, but also ensuring that it’s easy to learn and a pleasure to use.
- Technical curiosity and tooling depth. You understand how analytics tools interface with data models and infrastructure and are eager to dig deep.
- Experience with data transformation, version control, and deployment.
- Interest in AI-driven analytics. You are excited by the prospect of integrating Agentic AI capabilities into BI workflows and driving adoption of emerging technologies that make analytics more adaptive and proactive.
Crisp’s Business Intelligence Stack:
- Google Cloud and Microsoft Azure. The fundamentals of the Crisp Data Platform are built on the Google Cloud Platform, with our primary data warehouse in Google BigQuery.
- Microsoft PowerBI (with Tabular Editor expertise). Our embedded BI tooling leverages PowerBI capabilities to meet our customers’ needs for rich, interactive analytics experiences.
- Modern data and collaboration tools. We leverage dbt for data transformation, GitHub for code versioning, Azure DevOps for deployment workflows, and Jira for work management in agile teams.
What Makes a Great Fit at Crisp:
- Collaboration: You believe the best results come from working together.
- Grit: You’re curious, self-driven, and unafraid to roll up your sleeves.
- People: You stay close to those we serve.
- Feedback: You see it as fuel.
- Ingenuity: You solve problems with creativity and speed.
We are committed to transparency, diversity, and meritocracy, fostering an environment where every team member is empowered to make an impact, grow personally, and advance in their career. We invite you to join us – not just to take on a role, but to help shape a company you’re proud to be part of.
Compensation for this role is determined based on a variety of factors, including individual qualifications, professional experience, skills, and geographic location. We are committed to fair and competitive pay, and compensation details and expectations will be shared and discussed with candidates as the hiring process progresses. Applicants must be authorized to work for any employer in the U.S. Crisp is unable to sponsor or take over sponsorship of an employment Visa at this time.
Sr. Software Engineer, Data Modeling employer: Rippling
At Crisp, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact. With a strong focus on Agentic AI and cutting-edge analytics, our team enjoys ample opportunities for personal and professional growth while working in a diverse environment that values transparency and creativity. Located in a vibrant area, Crisp offers competitive compensation and the chance to shape the future of our business alongside passionate colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Software Engineer, Data Modeling
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Crisp on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or GitHub with projects that highlight your experience with PowerBI, BigQuery, or AI-driven analytics, make sure to share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for the interview by understanding Crisp’s mission and values. Think about how your background aligns with their focus on collaboration and ingenuity. Be ready to share examples of how you've worked in teams and solved problems creatively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Crisp team.
We think you need these skills to ace Sr. Software Engineer, Data Modeling
Some tips for your application 🫡
Show Your Passion for Data:When you write your application, let your enthusiasm for data and analytics shine through. Talk about how you've used visualisations to tell compelling stories and drive insights in your previous roles. We love candidates who can connect the dots between data and business problems!
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your expertise with tools like PowerBI, BigQuery, and dbt, and explain how you've used them to solve real-world challenges. This shows us you're not just a good fit, but the right fit!
Emphasise Collaboration:At Crisp, teamwork is key! In your application, share examples of how you've collaborated with others to achieve goals. Whether it's working with stakeholders or fellow engineers, we want to see that you value collaboration as much as we do.
Be Authentic:Don't be afraid to let your personality come through in your writing. We appreciate authenticity and want to get to know the real you. Share your journey, your motivations, and what excites you about the role. Remember, we're looking for someone who will help shape our company culture!
How to prepare for a job interview at Rippling
✨Know Your Tools Inside Out
Make sure you’re well-versed in PowerBI, BigQuery, dbt, GitHub, Jira, and Azure DevOps. Be ready to discuss how you've used these tools in past projects, especially in relation to data transformation and analytics workflows. This will show your technical depth and curiosity.
✨Showcase Your Collaboration Skills
Crisp values teamwork, so be prepared to share examples of how you've successfully collaborated with others. Highlight instances where you’ve shared ideas, supported teammates, or contributed to a group project. This will demonstrate that you align with their collaborative culture.
✨Understand the Business Context
Familiarise yourself with how data analytics can solve real business problems. Be ready to discuss how you’ve used visualisations to tell stories and provide actionable insights. This shows you’re not just technically skilled but also understand the bigger picture.
✨Embrace Feedback and Adaptability
Crisp appreciates candidates who see feedback as a growth opportunity. Share experiences where you’ve received constructive criticism and how you adapted your approach. This will highlight your grit and willingness to learn, which are key traits they’re looking for.
