At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
The Senior Manager – Data and AI Engineering role is a senior hands-on technical role. It will be accountable for leading our Data and AI Engineering and Machine Learning (ML) Ops teams in the UK and India for deliverables across UK & Ireland.
Role overview:
As part of this role, you'll be responsible for: Hands-on leadership of the Data and AI Engineering teams and ML Ops capability based in the UK and India. Increasing the capability and standards of our Engineering and ML Ops function. Leading the evolution of our data engineering framework on Azure Databricks. Working with the Principal AI engineer on the adaptation and evolution of our Gen AI Platform. Developing and socialising Data, AI and ML Ops standards across our data engineering and data science practices. Assisting in the creation of solution designs for approval by our architecture, governance, and security functions. Developing and implementing patterns to ingest and analyse unstructured data. Ensuring cost-efficient data operations on the platform. Delivering robust and efficient data pipelines and architectures that support our data science teams. Staying abreast of the latest industry trends and technologies, integrating new technology and best practices into the team's workflows where appropriate. Implementing, maintaining, and evangelising best practices for data engineering, including data governance, security, and compliance. Optimising performance, scalability, and efficiency of data pipelines and ML Ops processes. Driving continuous improvement initiatives, leveraging feedback and performance metrics to enhance team effectiveness and project outcomes. Minimising consumption and storage costs across our Azure Databricks platform. This role will define, document, and enforce data and ML engineering standards. It will have accountability for the performant and efficient build and operation of data components on our Azure Databricks Cloud platform. The role will be responsible for ensuring that we are utilising the optimal software components on the platform and will own our data ingestion patterns and ML Ops practice. You will need: Experience delivering data engineering solutions in cross-functional environments. Experience of leading data engineering teams / ML Ops functions and supporting Data Science teams in cross-functional environments. Deep understanding of Azure services, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Storage, and Azure ML. Proficiency in managing and optimising cloud resources for performance and cost-efficiency. Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters. Experience in deploying, monitoring, and optimising machine learning models in a production environment. Proficiency in programming languages such as Python, Scala, and SQL. Knowledge of scripting languages for automation and orchestration. Experience with DevOps practices. Familiarity with containerization. Excellent written, oral communication and advocacy skills, with demonstrable experience of prioritising effectively, managing diverse and multiple stakeholders. We know our people are the secret to our success. That's why we're always looking for ways to reward great work. You'll find a host of benefits designed to work for you, including: Company bonus Private Medical Pension Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, ongoing training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.
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As part of this role, you'll be responsible for: Hands-on leadership of the Data and AI Engineering teams and ML Ops capability based in the UK and India. Increasing the capability and standards of our Engineering and ML Ops function. Leading the evolution of our data engineering framework on Azure Databricks. Working with the Principal AI engineer on the adaptation and evolution of our Gen AI Platform. Developing and socialising Data, AI and ML Ops standards across our data engineering and data science practices. Assisting in the creation of solution designs for approval by our architecture, governance, and security functions. Developing and implementing patterns to ingest and analyse unstructured data. Ensuring cost-efficient data operations on the platform. Delivering robust and efficient data pipelines and architectures that support our data science teams. Staying abreast of the latest industry trends and technologies, integrating new technology and best practices into the team's workflows where appropriate. Implementing, maintaining, and evangelising best practices for data engineering, including data governance, security, and compliance. Optimising performance, scalability, and efficiency of data pipelines and ML Ops processes. Driving continuous improvement initiatives, leveraging feedback and performance metrics to enhance team effectiveness and project outcomes. Minimising consumption and storage costs across our Azure Databricks platform. This role will define, document, and enforce data and ML engineering standards. It will have accountability for the performant and efficient build and operation of data components on our Azure Databricks Cloud platform. The role will be responsible for ensuring that we are utilising the optimal software components on the platform and will own our data ingestion patterns and ML Ops practice. You will need: Experience delivering data engineering solutions in cross-functional environments. Experience of leading data engineering teams / ML Ops functions and supporting Data Science teams in cross-functional environments. Deep understanding of Azure services, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Storage, and Azure ML. Proficiency in managing and optimising cloud resources for performance and cost-efficiency. Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters. Experience in deploying, monitoring, and optimising machine learning models in a production environment. Proficiency in programming languages such as Python, Scala, and SQL. Knowledge of scripting languages for automation and orchestration. Experience with DevOps practices. Familiarity with containerization. Excellent written, oral communication and advocacy skills, with demonstrable experience of prioritising effectively, managing diverse and multiple stakeholders. We know our people are the secret to our success. That's why we're always looking for ways to reward great work. You'll find a host of benefits designed to work for you, including: Company bonus Private Medical Pension Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, ongoing training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.
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