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

bunch.capital; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote-flexible hybrid

Great tech setup

Diverse team from 40+ countries

Zusammenfassung

bunch is hiring a (Senior) Analytics Engineer to own the data stack from ingestion to the semantic layer, feeding our BI and product analytics today with embedded analytics likely next.

You will model data, migrate pipelines to dlt, and ensure reliability with IaC and monitoring. You’ll run Lightdash and enable conversational analytics, shaping business outcomes with pragmatic, scalable data practices.

Qualifikationen

• 4+ years in analytics or data engineering with ownership of the full stack.
• Real opinions on dimensional modeling, layering and contracts.
• dbt beyond SQL: materializations, incremental strategies, macros, CI.
• Python production-quality ingestion: APIs, pagination, incremental loads, schema drift; dlt bonus.
• Infrastructure ownership: scheduling with Airflow, Dagster or similar.
• Pragmatic, business-focused mindset; knows when good enough is good enough.

Aufgaben

• Own data modeling and the semantic layer everything else is built on.
• Move pipelines onto dlt in Python you control.
• Make the stack reliable by default: scheduling, monitoring, IaC.
• Run our self-hosted Lightdash, down to the deployment.
• Make conversational analytics work, so people can ask in plain language and trust the answer.

Kenntnisse

Data modeling

Python

SQL

dbt

Airflow

Dagster

Ownership

Business-driven

Tools

BigQuery

dbt

dlt

Lightdash

PostHog

Jobbeschreibung

bunch 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.

Your Role

As a (Senior) Analytics Engineer at bunch, 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

About you

• 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

Our tech stack

• Data warehouse: BigQuery

• Transformation: dbt

• Data ingestion: dlt

• BI / semantic layer: Lightdash

• Event tracking: PostHog

Workplace & Benefits

• 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

Hiring process

1. Screening Interview (30 min) with our People Team to get to know each other

2. Technical Interview (60 min): a live SQL exercise and a design discussion

3. Deep Dive (45 min): your track record and how you work

4. Final Round (30 min): culture, growth, and strategic fit

Questions? Reach out to [e-mail]

Curious to learn more?

Get a feel for who we are, how we work, and what we're building:

• About bunch: our mission, product, and journey so far

• Case Studies: about those who already build on bunch

• Gathering insights: our latest bunch of blog posts

• Glossary: explore commonly used private market terms

About bunch

bunch 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 bunch, 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.