Data Engineer

Culture Amp is the world's leading employee experience platform, helping 25 million employees across 6,500 companies create a better world of work.
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

Culture Amp is revolutionizing the employee experience landscape as the world's leading platform in this space. With a reach extending to over 25 million employees across 6,500+ companies, we're at the forefront of transforming workplace culture and performance management.

As a Data Engineer in our Data Platform team, you'll be integral to supporting and enhancing Culture Amp's Data Platforms through sophisticated data engineering, ML engineering, and data science initiatives. The role combines technical expertise with strategic thinking, as you'll be working on developing robust data pipelines and improving our reporting and analytics capabilities.

We're backed by top-tier venture capital and have established a global presence with offices across the US, UK, Germany, and Australia. Our platform serves innovative industry leaders like Canva, On, Asana, Dolby, McDonalds, and Nasdaq, demonstrating our crucial role in shaping modern workplace cultures.

The position offers an exceptional opportunity to work with cutting-edge technologies while making a meaningful impact on how organizations worldwide manage and enhance their employee experience. You'll be joining a collaborative environment where your technical skills in SQL, Python, and cloud technologies will be put to excellent use, while working alongside cross-functional teams to deliver impactful solutions.

We offer comprehensive benefits, including an Employee Share Options Program, professional development opportunities, mental wellbeing support, and various work-life balance initiatives. Our commitment to diversity, equity, and inclusion is demonstrated through active Employee Resource Groups and a strong anti-racism stance.

This role is perfect for someone who combines technical expertise with a collaborative mindset and a passion for solving complex data challenges that directly impact millions of employees globally. Join us in our mission to create a better world of work through data-driven solutions and innovative technology.

Last updated a month ago

Responsibilities For Data Engineer

  • Design and build data pipelines that ingest data from different sources
  • Ensure pipelines are tested, performant and observable
  • Monitor end-user performance and provide guidance on optimisation opportunities
  • Collaborate with stakeholders to ensure responsible data management aligned with privacy, security and compliance requirements

Requirements For Data Engineer

Python
  • Experience with cloud data warehouses such as Redshift
  • Skills in modelling and querying data in SQL and Python
  • Experience with ETL/ELT tooling including DBT and Airflow
  • Experience with CI/CD and infrastructure-as-code, ideally within AWS cloud
  • Familiarity with AWS' data tools such as EMR, MWAA, MSK (desirable)

Benefits For Data Engineer

Equity
Medical Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • Employee Share Options Program
  • Professional development programs and coaching
  • Mental wellbeing and coaching support
  • Monthly Camper Life Allowance
  • Team building activities budget
  • Quarterly wellbeing pause days
  • Extended year-end breaks
  • Parental leave
  • 5 Social Impact Days annually
  • MacBook and work from home office budget
  • Medical insurance coverage (US & UK)

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