Data Analytics Engineer – Finance

This position is advertised as a hybrid or on-site role at our headquarters in Tutzing (south of Munich). We welcome applications from all qualified candidates, regardless of gender identity.
As part of our growing investments in a modern, scalable finance data infrastructure, we are seeking an experienced Data Analytics Engineer – Finance (m/f/d) for our internal Data & Analytics Department. This department is part of Lobster's internal Finance and Operations function and is responsible for building, developing, and continuously improving our internal data infrastructure – including the Finance Data Mart, data pipelines, and analytical models that support financial reporting and decision-making within Lobster DATA.
In this role, you will be responsible for building and developing our Finance Data Mart on a modern dbt + Snowflake stack. You will translate complex finance and business requirements into reliable, well-documented data models, support our CFO and management with KPI reporting, and enable high-quality investor reporting for our PE partner.
Ready to make a difference?

The design and construction of dbt models across our entire layer architecture (Staging Intermediate Marts)

• Reporting) – with clean, tested and documented transformation logic
• The migration of our existing SQL-based data warehouse to Snowflake on AWS, with the Finance Data Mart as the first productive result.
• The end-to-end implementation of our Finance KPI framework – including ARR, NRR, Churn, Subscription Flips, Cloud Margin and over 65 other defined metrics.
• The setup and maintenance of data pipelines from our central source systems: Vemas, Datev, HubSpot and Personio
• Direct collaboration with the CFO and the finance team to translate business requirements into reliable, self-contained data products.
• Support for ad-hoc analyses and in-depth evaluations for PE reporting, where speed and precision are equally important.
• Reducing dependencies on individuals in our current processes by replacing manual logic with maintainable, versioned code

• 3–5 years of experience in Analytics Engineering, Data Engineering or Business Intelligence
• Solid DBT knowledge – you understand layer architectures and know why transformation logic belongs in int_* models and not in dashboards.
• Practical experience with cloud data warehouse environments such as Snowflake, BigQuery or Redshift
• Strong SQL skills, including window functions, CTEs, and performance optimization.
• The ability to work closely with non-technical stakeholders – to translate finance requirements into data models and to communicate data decisions clearly to a CFO.
• Knowledge of common SaaS finance metrics (ARR, NRR, Churn, GRR) is a clear plus.
• Experience with ERP or billing system data (e.g., Datev) is an advantage. Very good English skills;
• Conversational level knowledge is a must.

• a modern, spacious office with a view of Lake Starnberg in Tutzing
• Subsidies for lunch in our in-house restaurant
• a personal training budget
• 30 vacation days per year
• 2 additional paid days off on Christmas Eve and New Year's Eve
• Up to 30 days of remote work per year from an EU country
• Bicycle leasing through our partnership with JobRad
• the possibility to work flexibly from home
• Team evenings every Thursday with refreshments at company expense
• a company pension scheme (bAV)

Even if you don't fully meet all the requirements, we encourage you to apply anyway!
Lobster is an equal opportunity employer . We are actively committed to a diverse and inclusive work environment – ​​characterized by empathy and mutual respect.