Senior Data Engineer
London, United Kingdom
ChangeEngine
ChangeEngine. Discover, design, and send contextual communications during the moments that matter most throughout the employee journey.Company Description
ChangeEngine, at its core, is an innovative platform designed to redefine employee engagement for the modern workplace. Recognized as one of Fortune’s 100 top SMB Workplaces, we’re building a future where work is more connected, meaningful, and fulfilling. Dubbed the Canva meets HubSpot for the people team, we operate on the belief that the well-being of employees is fundamental to organizational success. Our mission is to streamline how companies communicate with their workforce, transitioning from outdated methods to a more personalized and impactful approach. Founded by entrepreneurs with a successful track record in Silicon Valley and the UK, ChangeEngine is propelled by significant investment to enhance the employee experience through intelligent communication solutions.
Job Description
As a Senior Data Engineer at ChangeEngine, you will have a unique opportunity to shape the foundation of our data infrastructure. You will be responsible for designing, implementing, and maintaining robust data pipelines that support our analytics and product development efforts. This senior-level position requires extensive experience in data engineering, a strong background in B2B SaaS environments, and familiarity with the challenges of early-stage and scale-up companies. You will play a critical role in selecting the right tools and technologies to ensure our data ecosystem is scalable, reliable, and efficient.
Key Responsibilities
Design, develop, and maintain scalable data pipelines to support various data needs across the organization.
Select and implement the best tools and technologies for data processing, storage, and analytics.
Collaborate with the wider engineering and product team to understand data requirements and ensure data quality and integrity.
Optimize and tune data pipelines for performance and scalability.
Qualifications
5+ years of experience in data engineering, with a focus on building and maintaining data pipelines.
Proven experience in a senior-level role within a B2B SaaS environment.
Strong knowledge of data architecture and data processing frameworks (e.g., Apache Airflow, dbt).
Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Familiarity with database technologies such as PostgreSQL.
Experience in early-stage and scale-up environments is highly desirable.
Proficiency in SQL and programming languages such as Python or Scala.
Additional Information
- Stock options
- Flexible working: Be part of a culture of trust and autonomy, where you're empowered to manage your workload and schedule in a way that works best for you.
- Experience the best of both worlds with our hybrid work model, combining in-person collaboration with the flexibility to work remotely as needed. No fixed office days, just the freedom to thrive.
- Health insurance via Vitality
- £400 WFH budget
- £500 annual L&D budget to help you continually grow
- Annual company wide retreats
- 25 days holiday + bank holidays
- 4 days a year where the focus is on generating new ideas and prioritising your wellness
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Data pipelines Data quality dbt Engineering GCP HubSpot Pipelines PostgreSQL Python Scala SQL
Perks/benefits: Career development Equity / stock options Flex hours Startup environment Team events
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