Data Engineer

Data Engineer
London - 4 Days on-site
£40,000 - £65,000 DOE + Equity + Unlimited Annual Leave

This is an excellent opportunity for a Junior Data Engineer to join a rapidly growing start-up offering great progression and the chance to further enhance your skills.

This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency.

In this varied role you will be responsible for building and maintaining scalable data pipelines for data integration into customer-facing mobile and web apps, as well as internal dashboards. Responsibilities include designing and implementing data architecture to optimise data storage, retrieval, and processing, alongside developing ETL processes to ingest, transform, and load data from various sources, particularly APIs. The ideal candidate will possess strong foundations in data architecture with a degree in a relative subject or industry experience. Scalable data solutions, coupled with a solid understanding of data modelling techniques, database design, and data normalisation is required for the role. Equally, proficiency in Python and SQL is essential, ideally with experience using data processing frameworks such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential for the is a fantastic opportunity for a Data Engineer to join a rapidly expanding start-up at an important time where you will have great progression opportunities.

The Role:

Build and maintain scalable data pipelines. Design/implement optimised data architecture. Develop ETL processes for various data sources. Integrate data for apps and dashboards.

The Person:

Strong data architecture foundation (degree/experience). Scalable data solutions & data modelling expertise. Proficient as a Data Engineer with Python, SQL, and data frameworks. AWS/Azure experience with relevant data services.