At a Glance
- Tasks: Lead a team to design and evolve our core data infrastructure for advanced analytics.
- Company: Join Intercom, the AI Customer Service leader transforming customer experiences globally.
- Benefits: Enjoy competitive salary, equity, flexible holidays, and comprehensive health benefits.
- Why this job: Make a real impact by driving innovative data solutions in a fast-growing environment.
- Qualifications: 7+ years in data engineering with leadership experience and strong technical skills.
- Other info: Hybrid work culture with a focus on collaboration and personal growth.
The predicted salary is between 54000 - 84000 £ 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.
This role is about impact and ownership. You will lead a team at the forefront of designing and evolving the core infrastructure that powers our entire data ecosystem.
- 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.
To put things in context, here are examples of the strategic, company-shaping initiatives you will be expected to own and drive as a Senior Data Engineering Manager:
- 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.
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.
- 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.
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. With secure bike storage too.
- 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. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity.
Senior Data Engineering Manager employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineering Manager role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile is up-to-date and showcases your experience in leading data teams and driving impactful projects. Engage with relevant content and connect with industry leaders to increase your visibility.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership experiences. Be ready to discuss how you've tackled complex data challenges and led teams to success. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission at Intercom. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Senior Data Engineering Manager
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, as these are key aspects of the job. We want to see how your skills align with our mission at Intercom!
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with tools like Apache Airflow, Snowflake, and DBT. We’re looking for someone who can get hands-on when needed, so let us know about your coding skills too!
Communicate Clearly: Remember, you’ll be interacting with various stakeholders. Use clear and concise language in your application to demonstrate your ability to communicate complex ideas effectively. We appreciate straightforwardness and clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on 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 Snowflake and DBT. Brush up on your knowledge of Apache Airflow too, as it’s crucial for managing high-volume environments. Being able to discuss these technologies confidently will show that you’re ready to lead the team.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Highlight your experience mentoring others and how you’ve driven projects forward. Intercom values leaders who can communicate complex technical solutions to a business-focused audience, so be ready to demonstrate this skill.
✨Understand the Business Impact
Familiarise yourself with how data engineering impacts customer service and business operations. Be prepared to discuss how your initiatives can drive value for the company. This shows that you’re not just technically savvy but also understand the bigger picture.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about challenges you’ve faced in previous roles and how you overcame them. This will help you illustrate your ability to handle real-world business problems effectively.