Position Overview:
This is a vacancy for a hybrid or on-site role at our HQ in Tutzing (South of Munich). We encourage applications from all qualified candidates, regardless of gender identity. As we expand our data-driven product development capabilities, we are seeking a
Product Analytics Engineer (m/f/x) to join our Product & Engineering department. This department is responsible for the design, development, and growth of our Data Platform and connected Services like Pathfinder our AI Co-pilot system.
In this role, you will own the full lifecycle of product analytics. From defining metrics and building data pipelines to creating dashboards and delivering insights that drive product decisions. Our platform is deployed across hundreds of distributed environments worldwide, from our own cloud to customer-hosted infrastructure, making this a uniquely challenging and rewarding data engineering problem. You will have the opportunity to architect our data lake infrastructure from the ground up and shape how we turn raw product telemetry into actionable intelligence.
Ready to make an impact?
You’ll get to take ownership of:
- Defining, documenting, and prioritising product metrics and KPIs in close collaboration with Product Managers and senior leadership, ensuring alignment with strategic goals.
- Designing and building robust data pipelines to extract product telemetry from our distributed Java-based middleware platform, spanning Lobster-hosted cloud instances and customer-hosted environments (public cloud, private cloud, and on-premises). Engineering relevant collectors, cleanup & interpolation tasks and data validators.
- Architecting and developing the centralised data lake and warehouse infrastructure, selecting and implementing the right technologies to support scalable, reliable analytics based on a variety of data sources.
- Creating and maintaining interactive dashboards and reports in Tableau or Microsoft Power BI, tailored to the needs of different stakeholders from C-level to product teams.
- Validating and quality-assuring incoming data for plausibility, completeness, and consistency, proactively identifying anomalies and data integrity issues across distributed sources.
- Delivering regular analytical reports and ad-hoc insights to senior management and product managers, translating raw data into clear narratives that inform product strategy.
- Collaborating with the Power BI specialist and product engineers to establish best practices, documentation, and scalable processes for the analytics function.
We’d love to meet someone with:
- 3–5 years of experience in a data engineering, analytics engineering, or product analytics role, ideally in a B2B software or SaaS environment.
- Strong proficiency in SQL (including stored procedures and views) and experience with at least one programming language for data processing (Python, Java, or similar).
- Hands-on experience building and maintaining ETL/ELT data pipelines and working with data warehouse or data lake architectures.
- Proficiency with Tableau, Microsoft Power BI and Power Query or a comparable business intelligence tool (Tableau, Looker) for creating dashboards and reports.
- Experience with data quality frameworks, the ability to validate, reconcile, and troubleshoot data from distributed and heterogeneous sources.
- Understanding of distributed systems and how product telemetry is collected from environments you don’t fully control (cloud, on-premises, hybrid deployments).
- Analytical mindset with strong attention to detail and the ability to translate business questions into data requirements.
- A clear and efficient communication style in English. German language skills are a plus.
Nice to have:
- Experience with modern data stack tools such as Airflow, Spark, Snowflake, Databricks, or Azure Synapse.
- Familiarity with Java-based applications and understanding how middleware or integration platforms work.
- Experience defining product metrics frameworks (e.g., HEART, North Star, pirate metrics) in a product-ledorganization.
- Knowledge of data governance, data cataloguing, or metadata management practices.
You can look forward to:
- A modern, spacious office with a view of Lake Starnberg in Tutzing
- Subsidised lunches in our in-house restaurant
- A personal learning and development 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 any EU country
- Bike leasing through our partnership with JobRad
- Opportunity to work flexibly from home
- Team evenings every Thursday with refreshments covered by the company
- A company pension plan (bAV)
If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.