REQUIRED SKILLS

• Apache Kafka
• Apache NiFI
• SQL and noSQL databases (e.g. MongoDB)
• ETL processing languages such as Groovy, Python or Java.
  Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe that’s our mission, passion, and motivation.

ROLE

As a Data Engineer, you’ll be actively involved in development of mission critical technical solutions that focus on data services for our National Security customers.
You will work alongside our customers to solve their complex and unique challenges.
As our next Data Engineer, you’ll be managing and developing data pipelines that transform raw data into valuable insights for Roke’s National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets.

YOU WILL BE RESPONSIBLE FOR

• Data pipeline development - Data ingestion and pipeline orchestration design and tooling.
• Database schema design / database modelling
• Data integration - Integrating and enriching data from various sources, ensuring data consistency and quality.
• ETL processing design and coding - Extract transform and load processing such as NiFI.
• Create code that is open by default and easy for others to reuse
• Maintain and develop existing architectural components including Data Ingest and Data Stores
• Work as part of an operational team investigating and diagnosing problems identified with integrated (enriched) data.
• Explain the difference between user needs and the desires of the user
• Data security - Implementing data security measures to protect sensitive information.
• Be able to help the scrum team decompose user requests and key results into epics and stories.
• Writing clean, secure code following a test-driven approach
• Create code that is open by default and easy for others to reuse
• Monitor and maintain - Monitor data systems for performance issues and make any necessary updates.