Data Engineer

SearchWorks
London
1 week ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer SAP {Defence, MoD

Company

My client are a fast-growing startup revolutionising the hospitality industry by connecting businesses with a flexible, student-powered workforce. The platform enables partners—from local pubs to multinational chains—to optimise staffing in real-time, enhancing efficiency and profitability.

The Role

As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include:

  • Building and Maintaining Data Pipelines:Design and implement scalable ETL processes to integrate data into our mobile and web applications, as well as internal dashboards.
  • Data Architecture Design:Develop and optimise data storage, retrieval, and processing systems to ensure efficiency and scalability.
  • Collaboration:Work closely with data scientists, software engineers, and internal stakeholders to understand data needs and deliver solutions that drive data-driven decisions.
  • Monitoring and Troubleshooting:Oversee pipeline performance, address issues promptly, and maintain comprehensive data documentation.

What You’ll Bring

  • Technical Expertise:Proficiency in Python and SQL; experience with data processing frameworks such as Airflow, Spark, or TensorFlow.
  • Data Engineering Fundamentals:Strong understanding of data architecture, data modelling, and scalable data solutions.
  • Backend Development:Willingness to develop proficiency in backend technologies (e.g., Python with Django) to support data pipeline integrations.
  • Cloud Platforms:Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker.
  • Data Quality Management:Experience with data versioning and quality assurance practices.
  • Automation and CI/CD:Knowledge of build and deployment automation processes.

Nice to Have

  • Production Experience:Experience building and maintaining data pipelines in a live environment.
  • Data Storage Solutions:Familiarity with data lakes, warehousing, and other data storage patterns.
  • Advanced Tools:Experience with tools like Kafka, Jenkins, Athena, or Spark.


This role will require 4 days per week onsite in the office, this is not optional and you must be open to this in order to proceed with the role.

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