Gemma Analytics
Location
Berlin | Germany
Job description
At Gemma, we help our clients activate data by using state-of-the-art technology. Our clients make better choices and are empowered to make use of their data on their own. We are service-focused, yet also build open-source tools to deliver a more effective and efficient service. You can read more about our data philosophy here .
Our clients range from Series A ventures to SMEs with 30 to 13,000 employees per client. We have an honest, pleasant, and fun work environment. Please make reference calls on us for validation :)Gemma Analytics is data-driven and helps clients to become more data-driven.
As one of our senior analytics engineers, you play a critical role in helping our clients to generate business value out of their existing data sets. There are no two ways about it – you’re a Data Magician. While manipulating data, you bring out the detailed information and quirky insights. You find what others can’t and glean business insights from numbers. By collaborating with clients, you find pragmatic solutions to complex problems. As a senior, we expect you to become a coach for junior team members. You have the opportunity to work on difficult problems while helping startups and SMEs to make well-informed choices based on data. Responsibilities:Technologies you’ll use:
Working with multiple clients, we are in touch with many technologies, which is truly exciting. We aim to use state-of-the-art technologies while being fully pragmatic (we do not crack a walnut with a sledgehammer). We follow an ELT philosophy and divide the tasks between Data Engineering and Analytics Engineering accordingly.
The following technologies constitute our preferred data tech stack:
Data Loading
For our clients, we either use a scheduler (e.g. Apache Airflow or Prefect) and run Python DAGs with it - we also like to work with dlt as a framework
For standard connectors, we work with Fivetran or Airbyte Cloud preferably
Data Warehousing
For smaller data loads, we mostly use PostgreSQL databases
For larger datasets, we mostly work with Snowflake or BigQuery
Data Transformation
We love to use dbt (data build tool) since 2018 - we can also work without it, yet we are fans to be honest
It is important to us that we work version-controlled, peer-reviewed, with data testing, and other engineering best practices
Data Visualization
For smaller businesses with < 100 FTE, we mostly recommend Metabase or Superset as a powerful open-source reporting tool
For specified needs and a centralized BI, we recommend PowerBI or Tableau
For a decentralized, self-service BI with more than 50 users, we recommend Looker, Holistics, or ThoughtSpot
We are always on the lookout for new tools, at the moment we are excited about Lightdash, Omni, dlt, and other tools
We believe in a good mixture of experience and upside in our team. We are looking for both types of people equally - for this role, we require more experience and proof of trajectory.
Besides that we are looking for the following:We are located in Berlin, close to Nordbahnhof. We are currently 15 colleagues and will grow to 23 colleagues in the next 12 to 18 months. Other perks include:
We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.
Job tags
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