We're looking for enthusiastic and resourceful data engineers who are passionate about turning data into insights. You want to help teams make data-informed decisions and take data-informed actions, you have a curious mindset, and you are motivated to understand our business better.

You will:

Take end-to-end responsibility for designing, building, and maintenance of batch and real-time data pipelines and data solutions.

Choose and manage tools and technologies to build and support a robust data infrastructure.

Be responsible for the data modelling and schema design of our data warehouse.

Identify bottlenecks and improve the performance of all our data pipelines.

Ensure all necessary monitoring and backup solutions are in place.

Be one of the primary points of contact within the organization for data pipelines, ETL processes, and complex queries required by the product or for business intelligence purposes.

Requirements

Strong experience using distributed streaming platforms such as Apache Kafka or Amazon Kinesis.

Strong experience developing ETLs and data pipelines using Apache Spark 2.0.0 or higher.

Strong experience with data modelling for data warehousing use-cases, design patterns, and building highly scalable and secure solutions.

Experience with Python, PostgreSQL, and Amazon Redshift.

Experience with Hadoop, plus distributions like EMR, Cloudera or Hortonworks.

Experience with workflow management tools such as Airflow, Luigi or similar.

Experience with end-to-end testing of data pipelines.

A desire to work in a respectful, transparent, and transparent work environment, following Our’s company values, culture and ways of working

Will submit to a background check, confidentially processed by our third-party partner.

Plus points:

Knowledge of data visualization and reporting tools such as Tableau

Experience with Elasticsearch and Redis

Experience with Segment (CDI)

Experience with distributed architectures and microservices.

Experience with cloud services (e.g. AWS, GCP, Azure), Containerization, configuration management and infrastructure automation.