1. Designing and Maintaining Data Architectures and Pipelines:
   • Create and optimize robust data architectures and pipelines.
   • Assemble intricate data sets that align with both functional and non-functional business requirements.
   • Identify opportunities to acquire new data from various systems.
2. Enhancing Processes:
   • Develop and refine data set processes for effective data modeling, mining, and production.
   • Build the necessary infrastructure for seamless data extraction, transformation, and loading from diverse data sources.
3. Data Reliability and Efficiency:
   • Recommend and implement strategies to enhance data reliability, efficiency, and quality.
   • Collaborate with Data Scientists and Machine Learning Engineers to construct analytics tools that leverage the data pipeline. These tools provide actionable insights related to asset management, operational efficiency, and other critical business metrics.
4. Cross-Functional Collaboration:
   • Work closely with stakeholders, including Product Owners, data science teams, and design teams. Assist them with data-related technical challenges and support their data infrastructure needs.
5. Creating Tools:
   • Develop data tools tailored for analytics and data scientist team members. These tools empower them to build and optimize products that drive business success.

• Educational Background:
  • A degree or equivalent in a relevant field, such as Computer Science, Information Systems, or a related Technical Discipline.
• Technical Expertise:
  • Proficiency in SQL and experience with cloud-based data pipelines (Azure, AWS, GCP).
  • Familiarity with big data tools like Hadoop and Spark.
• Data Management Skills:
  • Hands-on experience working with large data sets, data pipelines, workflow management tools, and Azure cloud services.
  • Exposure to stream-processing systems.
• Agile Mindset:
  • Comfort working in an agile environment or organisation with an agile culture.
• Problem-Solving Attitude:
  • A professional demeanour and the ability to think creatively to solve complex challenges.
• Programming Background:
  • Knowledge of programming languages such as Python, Scala, C, C++, or Java would be advantageous.
• Effective Communication:
  • Strong written and verbal communication skills, coupled with a desire to collaborate in cross-functional teams.

What you need to do now
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