Senior Data Engineer - Ecommerce - Hybrid Luton

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team.
This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams can increase overall value.
They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker.
The role:

• Develop robust and scalable data pipelines.
• Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities.
• Contribute to the development of our clients in-house Machine Learning operations framework.
• Support the data science and analytics team in deploying pipelines.
• Coach and mentor the team to improve development standards.

Key requirements:

• Strong hands-on experience with Databricks, Spark, SQL or Scala.
• Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.)
• Hands-on software development experience with Python/Release engineering practices sch as CI/CD.
• Experience deploying/monitoring machine learning models and following best practices.
• The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks.
• Strong experience with data programming frameworks such as Apache Spark.
• Understanding of common Data Science and Machine Learning models, libraries and frameworks.

This role provides a competitive salary plus excellent benefits package.
In terms of working structure, this role is hybrid with three days per week in our clients Luton office and the rest remote.