Data Engineering Lead

2 months 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 have recently secured a new round of funding from a prominent technology investor. This investment will drive our committed plan to elevate our product into a pioneering, market-leading platform.

We are rapidly expanding our focus on data, both internally and within our products and services. We are now looking for more help in this area to keep up with the growing demands of a dynamic, data driven organisation

Your Role: Data Engineering Lead

As a Data Engineering Lead, you will play a pivotal role in shaping our data infrastructure and ensuring its scalability and efficiency. You will lead a team of talented data engineers and scientists, guiding them in the development and maintenance of robust data pipelines.

  • Develop, maintain, and optimize ETL processes for data extraction, transformation, and loading.
  • Create and manage data models and data warehousing solutions.
  • Lead a cross-functional team of data scientists and data engineers.
  • Utilize programming languages like Python, SQL for data processing tasks.
  • Develop and deploy AI & ML pipelines (alongside data scientists).
  • Optimize data pipelines for performance and efficiency.
  • Work closely with data scientists and analysts to support their data needs.
  • Define and maintain best practices across the team.

Your Skills & Experience:

  • Proven experience in data engineering and proficient in designing and implementing scalable data architectures.
  • Strong experience with ETL processes, data modeling, and data warehousing (we use airflow, dbt and redshift).
  • Expertise in database technologies, both relational (SQL) and NoSQL.
  • Expert in cloud platforms (AWS).
  • Solid understanding of data security measures and compliance standards.
  • Excellent Python experience.
  • Good understanding of IAC technologies (we use terraform) and the DevOps environment.
  • Collaborative skills to work closely with data scientists and analysts.
  • Ability to optimize data pipelines for performance and efficiency.
  • Ability to build, test and maintain data solutions.

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