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AWS Lead Data Engineer

2 months ago

London, Greater London, United Kingdom Curveanalytics Full time
About the Role

Curveanalytics is seeking an experienced AWS Lead Data Engineer to join our Technology Practice. As a key member of our team, you will lead the design, build, and deployment of innovative data solutions in the cloud, from scratch. You will report directly to the Head of Technology and collaborate with a team of Data Scientists & Engineers, Software Engineers, and Architects to deliver and manage innovative projects that push the boundaries of what we can do with data.

Key Responsibilities
  • Lead technical delivery of strategic programmes, taking ownership for designing and building innovative data solutions, including managing teams of Data Scientists & Engineers.
  • Work with a mix of cloud services (majoring in Databricks and Azure, alongside AWS and Snowflake).
  • Support in setting the direction and vision of the Data Engineering part of our business, putting in place frameworks and guidance to support colleagues in reaching this vision, instilling a culture of quality, reliability, and innovation in the team.
  • Develop and deploy automated ETL/ELT pipelines using Python, PySpark, and SQL, to bring together best-in-class technologies to meet our clients' needs.
  • Design Data and Solution Architectures, supporting in assuring they're robust, secure, scalable, and ultimately meet the needs of our great clients.
  • Help to deploy machine learning models and AI capabilities.
  • Act as a technical counterpart to a project lead from our Consulting practice, and alongside Product Managers, data scientists, and analysts – and interface with client stakeholders.
  • Interrogate rich data sources such as social, search, surveys, reviews, clickstream, sales, connected devices, and beyond.
  • Identify and explore opportunities to acquire new data sources that deliver innovative perspectives to our clients.
  • Work with increasing autonomy to shape the data engineering and technology work we do now and in the future.
Requirements
  • Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths, or similar Science or Engineering discipline.
  • A track record of developing leading data solutions (likely 4+ years professional experience) in cloud environments such as Azure, AWS, or GCP – including Databricks.
  • An expert in designing efficient physical data models/schemas and developing ETL/ELT scripts in large organisations or data platforms.
  • Strong Python and other programming skills (Spark/Scala desirable).
  • Experience both using and building APIs.
  • Strong SQL background.
  • Exposure to big data technologies (Spark, Hadoop, Presto, etc.).
Nice to Haves or Excited to Learn
  • Experience of Solution, Integration, and Network Architecture design.
  • Experience utilising consumer datasets such as eCommerce, CRM, Social Media.
  • Experience of Object Oriented Programming, CI/CD pipelines, and broader DevOps technologies and practices.
  • Experience setting technology and data strategies, shaping technical teams, and ways of working.