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Senior Data Engineer - Nectar; SN

Job in City Of London, Central London, Greater London, England, UK
Listing for: Sainsbury's Supermarkets Ltd
Contract position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer - Nectar (SN)
Location: City Of London

Salary:
Competitive Plus Benefits

Location:

London Store Support Centre, London, EC1M 6HA

Contract type:
Permanent
Business area:
Sainsbury's Tech
Closing date: 08 June 2026
Requisition :

About the role

As a Senior Data Engineer, you will play a pivotal role in designing, building and optimising the data platforms, pipelines and services that enable scalable machine learning solutions across the organisation. You will partner closely with Data Scientists, to ensure data is reliable, accessible and production‑ready.

You will also contribute to engineering excellence by driving best practices, mentoring other engineers, and shaping the technical direction of data and ML workflows across our domain.

Key Responsibilities
  • Lead the design and build of high-quality, scalable and reusable data pipelines using Sainsbury’s engineering standards and best practices.
  • Integrate and manage data from multiple sources, ensuring consistency, integrity and quality throughout the data lifecycle.
  • Provide guidance for the junior & mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop).
  • Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation.
  • Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models in production.
  • Optimise data processing workflows and storage solutions to improve performance and reduce costs.
  • Work closely with cross-functional teams, including data science, engineering, and product management, to deliver data solutions that meet business needs.
  • Mentorship:junior and mid-leveldata engineers and provide technical guidance on best practices and emerging technologies in data engineering and machine learning and helping to enhance their skills and career growth.
  • 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.
  • Expertise with Py Spark or PyTorch for large-scale distributed data processing, including optimisation, partitioning, and debugging on managed Spark clusters (AWS EMR)
  • Experience with containerisation and orchestration tools (e.g., Docker, Airflow, Kubernetes).
  • Hands‑on expertise with Snowflake as a cloud data warehouse, including writing and optimising SQL and integrating securely into pipelines.
  • Hands‑on experience with cloud platforms (e.g., AWS, GCP, Azure)
  • Strong experience with data processing frameworks (e.g., Apache Spark, Flink).
  • Expertise in SQL and No

    SQL databases (e.g., MySQL, Postgre

    SQL, Mongo

    DB, Cassandra).
  • Experience with CI/CD pipelines and automation tools like Git Hub Actions.
  • Understanding of monitoring and logging tools (e.g., New Relic, Grafana).
  • Certifications:

    AWS Certified Big Data Specialty, Google Professional Data Engineer, or equivalent.
  • Strong analytical and problem‑solving skills.
  • Excellent communication skills, able to explain complex concepts to non‑technical stakeholders.
  • Ability to work independently as well as collaboratively within cross‑functional teams.

What you'll be doing

Leadership and Communication
  • Provide technical direction, set standards, and lead by example in engineering excellence.
  • Facilitate Scrum ceremonies when required (stand‑ups, planning, grooming).
  • Communicate clearly and transparently creating an inclusive environment where diverse opinions are encouraged.
  • Strong team player with a collaborative approach to working with cross‑functional teams within the Media Agency.
  • 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 sign positing alternative contacts who can guide.
  • Building a community across Media Agency.
  • Contribute to a positive and inclusive atmosphere within the team.
Knowledge Sharing and Empowerment
  • Commitment to…
Position Requirements
10+ Years work experience
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