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- Tasks: Lead a team to design and evolve our data infrastructure for advanced analytics.
- Company: Join Intercom, the AI Customer Service leader transforming customer experiences.
- Benefits: Competitive salary, equity, flexible holidays, and comprehensive health insurance.
- Why this job: Make a real impact on data solutions that shape the future of customer service.
- Qualifications: 7+ years in data engineering with leadership experience and technical depth.
- Other info: Hybrid work culture with a focus on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service.
The volume and velocity of data at Intercom are exploding, fueled by our growth and our drive to integrate more sophisticated, AI-assisted data solutions. The Data Engineering team is the critical engine powering Intercom's future. We are responsible for building and maintaining the distributed foundations that transform raw information into actionable intelligence, empowering all Intercom teams, from Product to Research.
We are looking for a seasoned Senior Data Engineering Manager to take ownership of key data initiatives and drive these efforts forward.
What will I be doing?
- Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.
- Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they need to move fast and deploy safely.
- Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.
- Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.
The Strategic Impact You’ll Drive
- GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business focused internal software.
- Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.
- Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.
Recent Wins You’ll Build Upon
- AI-assisted Local Analytics Development Environment for Airflow and DBT.
- Data-rich AI apps containerized on Snowflake SPCS.
- A new, modern data catalog solution.
- Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.
Who you are
You are a leader, a builder, and a problem-solver who thrives on solving real world business problems.
The Essentials:
- 7+ Years Experience: You have a proven, full-time career history in the data space, leading teams of 6+ Engineers.
- Stakeholder Focus: You can communicate complex technical solutions to a business focused audience and vice versa.
- Technical Depth: Your team will be responsible for the majority of execution, but you’re not afraid to get your hands dirty and write code when it’s needed.
- A Leader & Mentor: You naturally recognize opportunities to step back and mentor others, understanding when your guidance will multiply the team's output.
Bonus Points (Our Modern Stack Knowledge)
- Airflow at Scale: Extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.
- Modern Data Stack Fluency: Familiarity with tools like Snowflake and DBT.
- Future-Focused: You keep a keen eye on industry trends and emerging technologies, always thinking about what’s next.
Next Steps
If you are passionate about designing resilient analytics infrastructure that scales with a high-growth, global product, we encourage you to apply!
Benefits
- Competitive salary and equity in a fast-growing start-up.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
- Regular compensation reviews - we reward great work!
- Pension scheme & match up to 4%.
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
- Open vacation policy and flexible holidays so you can take time off when you need it.
- Paid maternity leave, as well as 6 weeks paternity leave for fathers.
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme.
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We respect personal opinion and expression on non-work related topics on personal social platforms on personal time.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity.
Senior Data Engineering Manager in London employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data architecture and automation. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s data initiatives. Understand their tech stack and think about how your experience aligns with their goals. This will help you demonstrate your value and show that you're genuinely interested in their mission.
✨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 serious about joining the team and ready to contribute to our exciting data journey.
We think you need these skills to ace Senior Data Engineering Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineering Manager role. Highlight your experience with data architecture and team leadership, and show how your skills align with our mission at Intercom.
Showcase Your Impact: When detailing your past roles, focus on the impact you've made. Use specific examples of how you've driven data initiatives or improved processes, as we love to see results that speak for themselves!
Be Authentic: Let your personality shine through in your application. We value authenticity and want to get a sense of who you are beyond your technical skills. Share your passion for data and how it drives you.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Intercom!
How to prepare for a job interview at Intercom
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack, especially tools like Airflow, Snowflake, and DBT. Brush up on how these tools integrate and support advanced analytics and AI applications, as this knowledge will be crucial when discussing your vision for the next-gen platform.
✨Showcase Leadership Skills
Prepare to discuss your experience leading teams of engineers. Think of specific examples where you’ve mentored others or driven significant projects. Highlight how you balance hands-on coding with leadership, as they’ll want to see you can lead from the front while still being technically savvy.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate that you can bridge the gap between technical teams and business stakeholders. Consider preparing a few scenarios where you successfully communicated a technical solution to a non-technical audience.
✨Emphasise Data Quality and Automation
Be ready to discuss your strategies for ensuring data quality and driving automation within data processes. Share any experiences you have with implementing monitoring systems or developing tooling that enhances efficiency, as this aligns perfectly with their focus on high-quality analytics data.
