Data Architect

2 weeks ago


London, Greater London, United Kingdom With Intelligence Full time

About With Intelligence

With Intelligence has evolved from a traditional financial publisher into a dynamic, product-led fintech company. Our mission is to empower investors and managers worldwide by connecting them to the people and data they need to raise and allocate assets efficiently.

We are rapidly expanding our focus on data, both internally and within our products and services. We are now looking for talented individuals to join our team and help us keep up with the growing demands of a dynamic, data-driven organization.

The Role: Senior Data Engineer

As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure. You will be responsible for developing, optimizing, and managing ETL processes, creating data models, and ensuring the seamless integration of data across various systems.

Responsibilities:

  • Develop, maintain, and optimize ETL processes for data extraction, transformation, and loading.
  • Create and manage data models and data warehousing solutions.
  • Write and maintain structured queries as well as content scraping projects.
  • Utilize programming languages like Python and SQL for data processing tasks.
  • Enable integration of applications/services and connecting to internal and third-party APIs.
  • Collaborate with cross-functional teams to ensure seamless integration of data processes.
  • Optimize data pipelines for performance and efficiency.
  • Work closely with data scientists and analysts to support their data needs.
  • Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs.

Requirements:

  • Proven experience in data engineering and proficient in designing and implementing scalable data architectures.
  • Strong experience with ETL processes, data modeling, and data warehousing.
  • Expertise in database technologies, both relational (SQL) and NoSQL.
  • Knowledge of cloud platforms (AWS).
  • Solid understanding of data security measures and compliance standards.
  • Excellent Python experience.
  • Collaborative skills to work effectively with cross-functional teams.


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