Data Engineering Professional

Why this job matters

The Network Engineering Professional supports the delivery of engineering activities that contributes client technical requirements, deploying optimal networking and connectivity solutions that enable clients and the enterprise to achieve their operational and business goals.

What you’ll be doing

• The Data Engineering Professional supports the capture, management, storage, and utilization of structured and unstructured data from internal and external sources, turning business needs into the data that supports the data strategic decision making

• Supports the design, coding, unit testing and deployment of data processes for ingestion, transformation or curation of big data while keeping data security and privacy in mind

• Supports the development of architecture and design patterns to process and store high volume data sets

• Supports the delivery of a range of projects driving new solutions to large, open-ended problems

• Delivers and generates business relevant, actionable insights in support of the data engineering specialism

• Follow best practises and delivers in an Agile process that consistently delivers a quality product for the organization

• Supports and assists in the execution of initiatives focused on the development of data and analytic infrastructure for product development

• Supports the implementation of ways to improve working processes within the area of data engineering responsibility

• Owns contribution to team and data governance processes, policies & regulations. Follows best practises and agile methodology, owning sprint goals and participating in sprint activities and governance

Skills needed

Key Skills:

• Data Analysis / Data Preparation
• Dataset Creation / Data Visualisation
• Data Quality Management
• Data Engineering
• Programming / Scripting
• Data Storytelling
• Business Analysis / Requirements Analysis
• Data Dashboards
• Business Intelligence Reporting
• Database Systems
• Agile Methodologies / Decision Support

Technical Skills:

• Cloud - GCP with AWS or Azure
• Database systems (SQL and NoSQL / Big Query / DBMS)
• Data warehousing solutions
• ETL Tools
• Data APIs
• Python, Java, and Scala etc
• Some knowledge understanding the basics of distributed systems
• Some knowledge of algorithms and optimal data structures for analytics

Soft Skills and time management skills

Key Skills:

• Data Analysis / Data Preparation
• Dataset Creation / Data Visualisation
• Data Quality Management
• Data Engineering
• Programming / Scripting
• Data Storytelling
• Business Analysis / Requirements Analysis
• Data Dashboards
• Business Intelligence Reporting
• Database Systems
• Agile Methodologies / Decision Support

Technical Skills:

• Cloud - GCP with AWS or Azure
• Database systems (SQL and NoSQL / Big Query / DBMS)
• Data warehousing solutions
• ETL Tools
• Data APIs
• Python, Java, and Scala etc
• Some knowledge understanding the basics of distributed systems
• Some knowledge of algorithms and optimal data structures for analytics

Soft Skills and time management skills

Our leadership standards

Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.

Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.

Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.