Senior Data Manager and AI Engineering
1 week ago
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 Operations teams in the UK and India for deliverables across UK & Ireland.
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, ensuring alignment with company standards.
- Lead the evolution of our data engineering framework on Azure Databricks.
- Provide hands-on mentorship, guidance, and education for engineering, data science, and ML Ops team members, promoting a high-performance culture.
- Oversee the design, implementation, and maintenance of scalable and reliable data engineering and ML Ops services and patterns on the Azure Databricks platform.
- Ensure delivery of robust and efficient data pipelines and architectures that support our data science teams.
- Work with Data and Portfolio project leads to deliver data and AI related projects.
- Be accountable for the delivery of data and AI engineering components of transformation and other relevant projects, ensuring timely and high-quality outcomes.
- Implement, maintain, and evangelize best practices for data engineering, including data governance, security, and compliance.
The 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 utilizing 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.
- Ideally 3+ years 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 optimizing cloud resources for performance and cost-efficiency.
- Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters.
- Experience in deploying, monitoring, and optimizing machine learning models in a production environment.
- Proficiency in programming languages such as Python, Scala, and SQL.
- Excellent written, oral communication, and advocacy skills, with demonstrable experience of prioritizing effectively, managing diverse and multiple stakeholders.
- Company Bonus
- Private Medical
- Hybrid Working
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. p>
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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