(Senior) Analytics Engineer

bunch

Berlin, Germany

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

de.indeed.com

Tech stack

Application Programming Interfaces (APIs) Airflow Data Analysis BigQuery Information Engineering Data Warehousing Dimensional Modeling Python (Programming Language) SQL Databases Data Ingestion Pagination

Job description

Data warehouse: BigQuery
Transformation: dbt
Data ingestion: dlt
BI / semantic layer: Lightdash
Event tracking: PostHog

Requirements

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, * 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

Benefits & conditions

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, * 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