Senior Analytics Engineer

Employee

Engineering

We are Gemma Analytics: a Berlin-based company specializing in generating insights in high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since, we have helped over 70 companies to become 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.

Tasks

About the Job

Gemma Analytics helps clients to become more data-driven.

As one of our analytics engineers, you play a critical role in helping our clients 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 detailed information and quirky insights. You find what others can’t and glean business insights from numbers. By collaborating with clients, you find practical solutions to 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

As we are tooling-agnostic, you will touch multiple technologies and understand the in’s & out’s what is currently possible in the data landscape
Collaborate and connect with domain experts to solve data obstacles in various industries
Develop advanced data reporting and visualizations
Apply data modeling methodologies and contribute to a robust data platform for our clients

Technologies you’ll use

Working with multiple clients, we are in touch with many technologies, which is truly exciting. We 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

Requirements

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:

Experience with SQL and relational databases
Experience in using dbt (cloud) in production
Understanding of data modeling techniques (e.g. Data Vaults, Kimball’s Dimensional Modelling, etc.) and data warehousing in general
Business Fluency (C2 or native) in German or English
Optional: Experience with one or more programming languages (Python preferred)
Optional: Experience with managing stakeholder relationships in projects

Benefits

We are located in Berlin, close to Nordbahnhof. We are currently 17 colleagues and will grow to 23 colleagues in the next 12 to 18 months. Other perks include:

We are a hybrid company that meets in the office twice a week - one common office day and one flexible day
We allow for intra-EU workcations for up to 3 months a year (extra-EU workcations also if this is allowed)
We have an honest, inclusive work environment and want to nurture this environment
We don’t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective
We will surround you with great people who love to solve (mostly data) riddles
We believe in efficient working hours rather than long working hours - we focus on the output rather than the input
We learn and share during meetups, lunch & learn sessions and are open to further initiatives
We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees
We are fast-growing and have technology at our core, yet we do not rely on a VC and operate profitably
We have a great yearly offsite event that brings us all together for a full week, enjoying good food, and having a good time (2021: Austria, 2022: Czech Republic, 2023: Germany)

How you’ll get here