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Sainsbury's Tech - Senior Engineer Machine Learning - Hybrid Working - London based
Why join us
Joining Sainsbury's Tech as a Senior Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers who are empowered to define and deliver through the use of technology. With a focus on continuous improvement and technical excellence, you'll have the opportunity to shape our engineering vision, drive adoption of best practises, and work with cutting-edge technologies. Not only will you contribute to innovative solutions that impact millions of customers, but you'll also be part of a progressive community that fosters growth, collaboration, and the advancement of engineering expertise. With the support and resources available, you can accelerate your professional development and enhance your skills within a dynamic, agile environment.
What you'll do
As a Senior Machine Learning Data Engineer, you will play a critical role in designing, building, and maintaining data pipelines and infrastructure that enable the development and deployment of machine learning models and drive engineering excellence. You will collaborate closely with data scientists, lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large-scale processing and analysis.
Key Responsibilities
- Data Pipeline Development: Lead the technical direction of projects and ensure the use of Sainsbury’s best practices to the best quality.
- Data Integration: Lead and provide expertise on integrating data from various sources, ensuring data consistency, integrity, and quality across the entire data lifecycle.
- Infrastructure Management: Provide guidance for junior and mid-level Data Engineers on best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., Hadoop, Spark).
- Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation.
- Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models in production.
- Performance Optimisation: Optimise data processing workflows and storage solutions to improve performance and reduce costs.
- Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to deliver data solutions that meet business needs.
- Mentorship: Mentor junior and mid-level data engineers and provide technical guidance on best practices and emerging technologies in data engineering and machine learning.
- Knowledge Sharing and Empowerment: Promote a culture of knowledge sharing within the engineering teams by organising regular technical workshops, brown bag sessions, and code reviews.
- Innovation and Continuous Improvement: Foster a collaborative and inclusive team environment that encourages continuous learning and improvement.
Leadership and Communication
- Strong leadership skills with the ability to inspire and guide the team.
- Lead scrum ceremonies as needed (Standup, Planning, and grooming sessions).
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts.
- Creating a safe and inclusive environment where all team members feel that their input is valued.
- Strong team player with a collaborative approach to working with cross-functional teams.
- Open to feedback and willing to provide constructive criticism to others.
- Be available for the team, responding within a reasonable time frame and if not possible clearly signposting alternative contacts who can guide.
- Building a community across the Media Agency.
- Contribute to a positive and inclusive atmosphere within the team.
Knowledge Sharing and Empowerment
- Commitment to fostering a learning culture within the team and ensuring knowledge transfer across all levels.
- Support and mentor engineers by providing them opportunities to lead initiatives and contribute to the technical roadmap.
What you need to know and show
- Education: Bachelor's degree in computer science, Data Engineering, or a related field. A Master’s or PhD is preferred.
- Experience: 5+ years of experience in data engineering, with a focus on building and managing data pipelines for machine learning applications.
Technical Skills
- Strong programming skill in Python, Node.js, or Scala.
- Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra, Snowflake).
- Strong experience with data processing frameworks (e.g., Apache Spark, Flink).
- Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift).
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving).
- Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:
Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU, and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform.
Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest-free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers. And if you ever need it, there is also an Employee Assistance Programme, and you will also be eligible for private healthcare.
Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
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