(Senior) Analytics Engineer*

Remote (Deutschland)
Datenbankentwicklung, Data Warehouse


In our Data Product team, we solve data-related challenges by designing & building end-to-end advanced analytical solutions, including infrastructure, analyses & visualisations, based on a deep understanding of our clients’ businesses and needs.
As an analytics engineer, you will organize, build and maintain data warehouses and data models, while contributing to the development of the team and our service portfolio.



  • You work on projects with data engineers and business intelligence consultants to provide clean, timely and reliable data sets for data analysts and business users.
  • Based on the client’s needs and business, you design, build and optimize accurate, scalable and maintainable data warehouses, data pipelines and data models.
  • You define, implement and maintain ETL/ELT pipelines together with data engineers and business intelligence consultants and help us to streamline the collaboration between both areas of expertise.
  • You bring software engineering principles to the data stack including version control, continuous integration, unit testing & documentation.
  • You advise and work on modelling strategy and data tech stack implementation depending on the client’s needs and ambitions across various industries (e.g. dbt, Snowflake, Big Query, Airbyte, Fivetran)
  • As a member of the Data Product team, you will shape the team structure and artefacts, as well as drive the further development of our tool stack to be future proof.



  • You have data engineering, business intelligence, analytics or other relevant working experience.
  • Within the team and on specific client projects, we communicate in English and German, therefore oral and written communication in both languages should be easy for you.
  • You are highly proficient in SQL. Python knowledge is a big plus.
  • You already have experience with designing and building scalable, reliable, and reusable data models. Confident usage of Git and a first hands-on experience with dbt is required.
  • You have first hands-on experience or interest in learning and leveraging emerging tools within the data ecosystem. Experience with tools, such as Snowflake, BigQuery, Databricks, Airbyte, dlt, Fivetran, Airflow is a plus.
  • You are able to manage multiple concurrent engagements and enjoy working in a team. At the same time, you feel like proactively taking care of your own area of responsibility - whether it’s consulting with clients, tinkering with a technical challenge, or further developing a service area.



  • Flexibility: You can adjust your working hours to your personal rhythm in consultation with your team - we know and want that there is a life outside of work.
  • Sustainable Pace: We try to avoid overtime - but if it does happen, you can easily make up for it on your own responsibility.
  • Remote Work: Choose the place where you can work most efficiently - whether in the office (equipped with fresh fruit, coffee, ice cream and beer), at home, on the road or in one of our coworking spaces!
  • Self-organization: You are given full responsibility from day 1 - through our shared leadership principle, there are no hierarchies and everyone in the team can take on a leadership role.
  • Development: All doors are open to you to get to know various areas within FELD M and to develop yourself further in different skills - we will be happy to support you in this, e.g. in the form of internal coaching!
  • Team spirit: Team cohesion is important to us, starting by setting English as our default language, ensuring an open and inclusive work environment, taking the time for team offsites and celebrating team successes together with various company or team events.
  • Equipment: Decide for yourself whether you prefer to work with Windows, Ubuntu or macOS - we will take care of the hardware of your choice - and everything you need for pleasant working.


If you have any questions, Christina and Héloïse from the People & Teams Team will be happy to help you - we are looking forward to receiving your application!

*People of all gender identities are welcome!

Aktualisiert: vor 10 Stunden
Job ID 11805800
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51-200 Mitarbeitende
Strategische Managementleistungen

FELD M is a consultancy for data driven marketing in a digital world. We develop strategies and analyses with which our clients reach their digital media goals.

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  1. (Senior) Analytics Engineer*