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Senior Analytics Engineer (d/f/m)

AI-powered people platform revolutionizing HR for modern teams, automating and simplifying employee lifecycle processes.
Data
Senior Software Engineer
Hybrid
101 - 500 Employees
4+ years of experience
AI · Enterprise SaaS
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Job Description

Leapsome, an AI-powered people platform revolutionizing HR for modern teams, is seeking a Senior Analytics Engineer to join their Business Operations team in Berlin. This role presents an exciting opportunity to be part of a fast-growing scale-up that secured $60 million in Series A funding and is reshaping the future of work.

The position involves working with a full-stack data team that manages its infrastructure on AWS, utilizing tools like Airbyte for ingestion, dbt Core for transformation, Snowflake as the data warehouse, and Metabase for reporting. As a Senior Analytics Engineer reporting to the Head of Data, you'll be crucial in empowering business decisions through robust data infrastructure and key insights delivery.

The ideal candidate should have 4+ years of experience, exceptional SQL skills, and strong analytical thinking abilities. You'll be responsible for developing data platforms, maintaining scalable pipelines, working closely with stakeholders, and ensuring accurate data delivery. Experience with AI developer tools and an "AI-first" mentality is essential.

Leapsome offers an attractive benefits package including hybrid work options, flexible hours, a €2,000 yearly development budget, 30 vacation days, health and wellness benefits, and a competitive compensation package with pre-IPO equity. The company culture emphasizes impact, continuous learning, transparency, and kindness, making it an ideal environment for professionals who want to contribute to making work fulfilling for millions of people worldwide.

The role combines technical expertise with business acumen, offering opportunities to work on challenging projects while making a significant impact on the company's growth. If you're passionate about data engineering, analytics, and want to be part of a company that's transforming how organizations approach HR and team performance, this position at Leapsome could be your next career move.

Last updated 4 days ago

Responsibilities For Senior Analytics Engineer (d/f/m)

  • Participate in full lifecycle of analytics projects
  • Design, build, and maintain scalable data pipelines with dbt and Python
  • Work with stakeholders to understand and address data needs
  • Ensure accurate and timely data delivery
  • Create reports and dashboards using Metabase
  • Monitor data infrastructure health
  • Implement data governance and security procedures

Requirements For Senior Analytics Engineer (d/f/m)

Python
  • 4+ years of experience in a similar role
  • Advanced SQL skills
  • Analytical thinking and ability to understand business needs
  • Understanding of data warehousing and ELT/ETL concepts
  • Ability to communicate complex data concepts
  • Experience with AI developer tools
  • Experience with Airbyte, dbt Core, Snowflake, Metabase is a plus

Benefits For Senior Analytics Engineer (d/f/m)

Mental Health Assistance
Education Budget
Equity
  • Competitive pay and pre-IPO equity package
  • 30 vacation days plus public holidays
  • €2,000 yearly development budget
  • Free Urban Sports Club membership
  • Mental health support through Oliva
  • €1,000 work-from-home stipend
  • Monthly team activities
  • Flexible working hours
  • Option to work elsewhere for up to 2 months per year
  • Access to Good Habitz platform