Data Engineer

As a Data Engineer, youll work within a cross:functional team, delivering customer value at pace and insisting on high quality and simplicity.

What youll do:

: Integrate additional internal and third party resources and handle ETL for data ingestion.

: Delivering and promoting technical excellence based on fundamental principles and standards that you contribute to.

: Working with the Chief Data Officer, Data Architect, fellow data engineers and other teams to implement and deliver the Data Analytics platform.

: Maintaing robust and performant data pipelines.

: Sharing your technical expertise within the team.

: Supporting and enforcing controls on the data platform to contain risk and align with regulatory policies.

The skills youll need:

: Programming languages, including Python, SQL, Scala or Java.

: ETL processes, such as Apache Airflow.

: Messaging, event and streaming technology, including Apache Kafta.

: Big databases, such as AWS Redshift, Postgres, Snowflake.

: Infrastructure such as code, including Terraform.

: Containerization, such as Docker and Kubernetes.

: Cloud technologies, including Amazon Web Services and Google Cloud Platform.

: Large:scale data processing frameworks, such as Spark or Hadoop.

: Passionate about data, technologies and techniques.

: Experience in engineering for Data Science, Big Data or related software industry areas.

: Ability to explain data pipelines in the forms of diagrams and other documentation.

: Experience of building data processing pipelines for use in production hands:off environments.

: Having a deep understanding of data structures and schema design.