Data Engineer

Data Engineer

Full-Time 55000 - 60000 £ / year (est.) No working from home possible
Pentasia

At a Glance

  • Tasks: Design, build, and maintain scalable data pipelines for real-time products and data science initiatives.
  • Company: A fast-growing AI technology company based in London, focusing on innovative data solutions.
  • Benefits: Salary range of £55,000–£60,000 plus an annual bonus and enhanced pension.
  • Other info: Hybrid role requiring office attendance in Piccadilly three days a week.
  • Why this job: Join a dynamic team to enhance real-time systems and support cutting-edge data architecture.
  • Qualifications: Experience with ETL processes, advanced Python, SQL, and cloud platforms like Azure or AWS required.

The predicted salary is between 55000 - 60000 £ per year.

A fast-growing AI technology company is looking for a Data Engineer to design, build and maintain scalable data pipelines supporting real-time products and data science initiatives. This is a London-based hybrid role, with office attendance in Piccadilly 3 days/week. Salary: £55,000–£60,000 + annual bonus and enhanced pension.

Main Responsibilities:

  • Build scalable and reliable ETL processes and data pipelines using multiple data sources.
  • Partner with data scientists to deploy models and analytics workflows into production.
  • Support the design and maintenance of the company’s data architecture.
  • Improve real-time systems, platform stability and ETL reliability.
  • Monitor and enhance data quality, performance and scalability.

Desired experience:

  • Experience building scalable ETL processes and data pipelines.
  • Advanced Python for data processing.
  • Candidates must be comfortable writing performant, production-grade code and clearly explaining it.
  • Experience with pandas, including transformations, joins, aggregations and large datasets.
  • SQL & Git.
  • Experience with cloud (Azure, AWS etc).
  • Ability to commute to the London office three days per week.
  • Experience with Airflow, Dagster, Jenkins, Tableau, Power BI, Synapse, Snowflake, Docker, RabbitMQ, Kafka or Spark would be advantageous, but is not mandatory.

Data Engineer employer: Pentasia

This London-based AI technology company offers competitive salaries and benefits, including an annual bonus and enhanced pension. The team is dedicated to building scalable data solutions that drive innovation in real-time products. Join a collaborative environment where your contributions directly impact the company's success.

Pentasia

Contact Details:

Pentasia Recruitment Team

We think you need these skills to ace Data Engineer

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration