Data Engineer

Job description

The client is looking for a Data Engineer

As a Data Engineer, you are in charge of the client's data warehouse and data pipelines. To support their Data Analysts in the creation of specialized dashboards and reports you manage a diverse set of data sources by utilizing different ETL platforms and building custom connectors.

Your tasks:

* Identify opportunities for leveraging audience and business data in collaboration with the Commerce, Audience Development and Product team
* Define relevant KPIs & implement required tracking to derive analytical insights for different departments
* Evolve dashboards & reporting
* Drive testing initiatives utilizing best practices for set-up and data collection
* Grow our data warehouse and connect a wide range of data sources
* Perform ad-hoc analysis as needed

Your skills:

* 3+ years relevant experience in a data science, data engineering or back-end engineering role
* Experience in building and maintaining ETL pipelines
* Experience in operating multiple databases/data warehouses
* Strong knowledge of SQL, relational database systems (e.g. PostgreSQL), column-based databases (e.g. BigQuery) and stream based systems (e.g. Kafka)
* Knowledge of Ruby, Elixir, Python or R are a big plus
* Ability to synthesize data from multiple sources and strong data visualization skills
* Strong analytical and problem-solving skills
* Comfortable working with cleaning and organizing data and presenting it in informative ways
* Experience with E-Commerce and/or publishing/social media data is a big plus
* Strong communication and interpersonal skills
* Proactive, creative & self-starter attitude

Must have skills
Apache Kafka, PostgreSQL, SQL

Start date
Earliest: asap
Work can begin immediately.

Length
max. 3 months
Trial project for one week, followed by a cooperation of up to three months.

Engagement
Fulltime

Remote
Not possible
No remote work possible

Language requirements
English

Budget
max. 105€ per hour
incl. Uplink fee

Onsite locations
10785 Berlin