Senior Manager - Data & AI Engineering

Senior Manager - Data & AI Engineering

Waterloo - Hybrid Working
Full time

Permanent
Grade 5

At Currys were united by one passion: to help everyone enjoy amazing technology. As the UKs best-known retailer of tech, were proud of the service our customers receive - and its 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, youll be responsible for:

1. Hands-on leadership of the Data and AI Engineering teams and ML Ops capability based in the UK and India
2. Increase the capability and standards of our Engineering and ML Ops function
3. Lead the evolution of our data engineering framework on Azure Databricks
4. Work with the Principal AI engineer of the adaptation and evolution of our Gen AI Platform
5. Develop and socialize Data, AI and ML Ops standards across our data engineering and data science practices
6. Assist in the creation of solution designs for the approval by our architecture, governance and security functions
7. Develop and implement patterns to ingest and analyze unstructured data
8. Ensure cost-efficient data operations on the platform
9. Ensure delivery of robust and efficient data pipelines and architectures that support our data science teams
10. Stay abreast of the latest industry trends and technologies, integrating new technology and best practices into the teams workflows where appropriate
11. Implement, maintain and evangelize best practices for data engineering, including data governance, security, and compliance
12. Optimize performance, scalability, and efficiency of data pipelines and ML Ops processes
13. Drive continuous improvement initiatives, leveraging feedback and performance metrics to enhance team effectiveness and project outcomes
14. Minimize 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 utilizing the optimal software components on the platform and will own our data ingestion patterns and ML Ops practice.

You will need:

1. Experience delivering data engineering solutions in cross-functional environments
2. Experience of leading data engineering teams / ML Ops functions and supporting Data Science teams in cross-functional environments
3. Deep understanding of Azure services, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Storage, and Azure ML
4. Proficiency in managing and optimizing cloud resources for performance and cost-efficiency
5. Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters
6. Experience in deploying, monitoring, and optimizing machine learning models in a production environment
7. Proficiency in programming languages such as Python, Scala, and SQL
8. Knowledge of scripting languages for automation and orchestration
9. Experience with DevOps practices
10. Familiarity with containerization
11. Excellent written, oral communication and advocacy skills, with demonstrable experience of prioritizing effectively, managing diverse and multiple stakeholders

We know our people are the secret to our success. Thats why were always looking for ways to reward great work. Youll find a host of benefits designed to work for you, including:

• Company bonus
• Private Medical
• Pension

Why join us:

Join our team and well 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, were in a position to make a real impact on people and the planet.

Every voice has a space at our table and were 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 and well do our best to help.

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