Senior Data Analytics Engineer
Senior Data Analytics Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We are Gemma Analytics: a Berlinbased company specializing in generating insights in highperformance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 70 companies to become more datadriven and successful. We have a fun honest and inclusive work environment. We are always looking for dataminded people we can learn from.
Tasks
Gemma Analytics is datadriven and helps clients to become more datadriven.
As our Senior Data & Analytics Engineers you play a critical role in helping our clients unlock business value from their data. Youre not just technically strong youre a Data Magician who uncovers structure in chaos and turns raw data into meaningful actionable insight. You dig into complex datasets spot what others overlook and guide clients toward pragmatic highimpact solutions.
But your impact doesnt stop at client work. As a senior team member you act as a sparring partner and coach to your colleagues. Youre someone others turn to for advice on technical challenges project structure and best practices and youre excited to help them grow.
You have the opportunity to work on difficult problems while helping startups and SMEs to make wellinformed decisions based on :
- As we are toolingagnostic you will touch on multiple technologies and understand the ins & outs of what is currently possible in the data landscape
- Collaborate with domain experts and client stakeholders to solve data challenges across a variety of industries
- Support and mentor other team members through code reviews pair programming and knowledge sharing
- Lead internal sparring sessions and contribute to developing teamwide best practices and scalable project structures
Technologies youll use
Working with multiple clients we are in touch with many technologies which is truly exciting. We use stateoftheart technologies while being fully pragmatic (we do not 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 versioncontrolled peerreviewed 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 opensource reporting tool
- For specified needs and a centralized BI we recommend PowerBI or Tableau
- For a decentralized selfservice 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 expertise and proof of trajectory.
Besides that we are looking for the following:
- 34 years of handson experience in data engineering or analytics engineering with a strong focus on building and maintaining robust data pipelines and analyticsready data models
- Proficient in SQL and experienced with relational databases capable of translating complex business logic into clear maintainable queries
- Handson experience using dbt (preferably dbt Cloud) in production environments following best practices for modular testable and documented code
- Solid understanding of data modeling techniques (e.g. Kimball dimensional modeling Data Vault star/snowflake schema) and data warehousing principles
- Experience working with modern data stack tools such as Snowflake BigQuery Airflow Airbyte/Fivetran Git and CI/CD workflows
- Proficient in Python (or a similar scripting language) for use cases such as API integration data loading and automation
- Strong communication skills in English (written and spoken) with the ability to explain technical decisions and collaborate with both technical and nontechnical stakeholders
- Comfortable working in clientfacing projects navigating ambiguity and delivering highquality results with minimal oversight
- Experience coaching or mentoring junior team members through code reviews sparring and knowledge sharing
- Bonus: Familiarity with data visualization tools (e.g. Tableau Power BI Looker) to support endtoend workflows or assist analysts
- Bonus: Fluency in German
Benefits
We are located in Berlin close to Nordbahnhof. We are currently 20 colleagues and will grow to 22 colleagues this year. 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 intraEU workcations for up to 3 months a year (extraEU workcations also if this is allowed)
- We have an honest inclusive work environment and want to nurture this environment
- We dont 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 marketfriendly salary and we additionally distribute at least 20 of profits to our employees
- We are fastgrowing 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: Germany 2025: Spain)
How youll get here
- CV Screening
- Phone/Coffee/Tea Initial Conversation
- Hiring Test @home
- Interviews with 23 future colleagues
- Reference calls
- Offer Hired
Looking forward to your application :
Employment Type
Full Time
