(Senior) Analytics Engineer (f/m/d)
3 нед. назад
GermanyEuropeSenior
pythondbtsqlairflowlightdashdata modelinginfrastructure as code
Ownership and development of the end-to-end data stack for business intelligence and product analytics, including data modeling, pipeline reliability, and conversational analytics.
Обязанности
- As a (Senior) Analytics Engineer at , you'll own our data stack end to end, from ingestion to the semantic layer. It feeds our business intelligence and product analytics today, with embedded analytics likely next.
- You will:
- Own data modeling and the semantic layer everything else is built on
- Move every remaining pipeline onto dlt, in Python you control
- Make the stack reliable by default: scheduling, monitoring, infrastructure as code
- Run our self-hosted Lightdash, down to the deployment
- Make conversational analytics work, so people can ask in plain language and trust the answer
Требования
- Experience: 4+ years in analytics or data engineering, ideally somewhere you owned the whole stack
- Modeling: you have real opinions on dimensional modeling, layering and contracts
- dbt: you know dbt past writing sql models, so materializations, incremental strategies, macros, CI, and where it breaks
- Python: production-quality, with a proper understanding of ingestion (APIs, pagination, incremental loads, schema drift). dlt experience is a bonus
- Infrastructure: comfortable owning deployed infra, scheduling with Airflow, Dagster or similar is a plus
- Pragmatic: you start from what the business needs and you know when good enough is good enough
Условия
- Customizable benefits package (wellbeing, sport, mobility, food, and more)
- 28 days of vacation, plus 2 company days and local public holidays
- Remote-flexible hybrid (3 days/week in office)
- Up to 4 remote calendar weeks a year
- A great tech and work setup
- Work with a diverse team of 120+ bunchies from 40+ countries, with leaders who are best-in-class in their domains
Как откликнуться
- Screening Interview (30 min) with our People Team to get to know each other
- Technical Interview (60 min): a live SQL exercise and a design discussion
- Deep Dive (45 min): your track record and how you work
- Final Round (30 min): culture, growth, and strategic fit
- Questions? Reach out to recruiting@.capital
Другое
- is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real responsibility, and working with a thoughtful, ambitious team, this role might be for you.
- Data warehouse: BigQuery
- Transformation: dbt
- Data ingestion: dlt
- BI / semantic layer: Lightdash
- Event tracking: PostHog
- Get a feel for who we are, how we work, and what we're building:
- About : our mission, product, and journey so far
- Case Studies : about those who already build on
- Gathering insights : our latest of blog posts
- Glossary : explore commonly used private market terms
- is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management.
- We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026. We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that actually matters to the people using it.
- ____ At , we're committed to an inclusive environment where diversity is valued and celebrated. We provide equal opportunities to all qualified applicants.
- We process personal data in line with applicable laws (including GDPR). See our Privacy Policy for details on your rights and how to reach us.