Morson Edge
Senior Data Engineer ( Retail)
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About the Role
We are seeking an experienced Senior Data Engineer to join the Customer Data team within the Data & AI function of a leading UK retail organisation. The team is responsible for building and operating the data foundations that support a wide range of customer-focused use cases, including Customer 360, analytics, AI/ML, marketing and data-driven commercial initiatives.
Responsibilities
This is a hands-on engineering role suited to someone who enjoys solving complex data problems, building scalable solutions and working within modern software engineering environments. You will play a key role in designing and delivering reliable, production-grade data ingestion and transformation pipelines, while contributing to the wider architecture and technical direction of customer data capabilities.
- Designing, building and operating scalable data ingestion, transformation and integration pipelines for high-volume customer data, with a strong focus on performance, reliability, scalability and data quality.
- Contributing to solution design and technical architecture, taking a holistic view of systems, integrations, dependencies and potential risks, while identifying opportunities to improve the wider data estate.
- Working across development and production environments, following established software engineering practices including Git/GitHub, CI/CD, testing, version control and release management.
- Collaborating closely with Data Engineers, Software Engineers, Architects, Product teams and other technical stakeholders to deliver complex data initiatives, including real-time, high-throughput and low-latency data solutions where appropriate.
- Producing clear technical documentation, proactively investigating and resolving complex engineering issues, and taking ownership of problems from initial solution design through to deployment and ongoing operation.
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Requirements
- Strong commercial experience working on production-scale data platforms and pipelines, together with a solid understanding of software engineering fundamentals.
- Background in Computer Science, Software Engineering or a similar technical discipline would be advantageous.
- Proven experience designing and building data ingestion, transformation and integration pipelines at scale, alongside strong hands-on experience with Python and SQL.
- Experience working with modern cloud-based data platforms across AWS, Azure and/or GCP.
- An understanding of contemporary data engineering technologies, distributed systems, data modelling and scalable architecture patterns.
- Comfortable working in engineering environments where quality, maintainability, observability and production reliability are important.
- A proactive approach to problem solving is essential, as is the ability to work independently, identify potential issues before they become blockers and communicate effectively with engineers, technical leads and wider stakeholders.
Technical Environment
- Python, SQL, AWS, Azure, GCP, Databricks, Apache Spark, PySpark, Kafka, Airflow, dbt, Git/GitHub, CI/CD and Infrastructure as Code.
- Experience with modern data platforms and distributed processing technologies would be beneficial.
- Experience with Databricks or Hadoop-style data processing environments is useful, although candidates with strong transferable experience across modern data platforms will also be considered.
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Desirable Experience
- Previous experience within retail or e-commerce would be advantageous, particularly exposure to customer data environments, MarTech, CRM or digital customer journeys.
- Experience with Customer 360, Customer Data Platforms, identity resolution, Reverse ETL, MarTech and CRM integrations, data monetisation, analytics enablement, high-throughput or low-latency data systems, or customer data governance and privacy would also be beneficial.
Team and Reporting
You will join an established Customer Data engineering squad of around eight engineers, working on strategic customer data initiatives within a wider Data & AI function. You will report to the Lead Data Engineer and work closely with senior and lead engineers across the squad. This is a hands-on individual contributor position with no people management responsibility, offering the opportunity to take ownership of significant technical challenges and contribute directly to the design and evolution of strategic customer data capabilities.
Why Apply?
If you are an experienced Data Engineer who combines strong technical engineering skills with a pragmatic, ownership-focused approach and wants to work on complex customer data challenges at scale, this could be an excellent opportunity to join a high-performing engineering team within a leading UK retailer.
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