About the Role
Parser is looking for an experienced Senior Data Engineer to join a client delivery team working on the E-commerce Search & Product Discovery Platform for a major multinational retailer. The client operates across multiple regions—including the UK, Europe, and Asia—offering groceries, clothing, electronics, and consumer goods via physical stores and large-scale e-commerce platforms, alongside financial, mobile, and fuel services.
As a Senior Data Engineer at Parser, you will construct the core data platform powering search relevance and optimization initiatives. This foundation aggregates multi-source event streams and telemetry data to ensure it is clean, traceable, and readily accessible for downstream applications—supporting automated search problem discovery, offline change evaluation, and human relevance testing. Joining in week 1, you will collaborate with the client’s analytics team to establish the platform architecture and build key data pipeline components to deliver a functional prototype by week 2.
Key Responsibilities
- Data Foundation Architecture: Build and scale the shared search data foundation using a
Medallion Architecture: Bronze (raw source ingestion), Silver (cleaned, validated, and standardized datasets), and Gold (business-ready data for relevance analysis and offline evaluation). - Search Telemetry Integration: Integrate and join complex search data sources (clickstream, query logs, product interactions) in close collaboration with client analytics and data science teams.
- Platform Evaluation: Review existing data pipelines, dashboards, and technology stacks (Azure, Kafka, Elasticsearch) during week 1 to define and agree on optimal data lake architecture.
- Data Quality & Lineage: Implement robust data quality checks and end-to-end data lineage to ensure datasets can be audited, validated, and reused across search initiatives.
- Relevance Feedback Loops: Supply high-quality datasets to power discovery tools and offline evaluation frameworks, ingesting human relevance ratings back into the core data foundation.
- Engineering Excellence: Write clean, maintainable, and well-tested code, documenting design decisions and pipeline architectures for seamless handover.
Required Experience and Qualifications
- Data Engineering Expertise: 6+ years of hands-on experience in data engineering using at least one modern programming language (Python preferred) and advanced SQL.
- Cloud & Distributed Computing: Proven track record building and operating production data pipelines on major cloud platforms (Azure strongly preferred), including distributed processing engines (Apache Spark).
- Streaming & Search Engines: Practical experience working with event-driven architectures (Apache Kafka) and/or enterprise search engines (Elasticsearch).
- Modern Data Architectures: Solid understanding of data modeling, Medallion Architecture, data lineage, governance, and quality frameworks.
- Cross-functional Collaboration: Strong ability to partner with Analytics, Data Science, and Product teams to align on architecture and problem-solving strategies.
- Drive & Execution: Self-motivated with a strong bias for action and excellent organizational skills to deliver in a fast-paced environment.
What We Offer
- A highly collaborative and engineering-focused culture.
- A strong bias for action with minimal bureaucracy.
- The opportunity to engineer the core data engine driving product discovery for millions of daily active users using Azure, Kafka, Spark, Elasticsearch, and Medallion Data Architecture.
Come and join our #ParserCommunity.
https://parserdigital.com/
Skills Required
- 6+ years of hands-on data engineering experience
- Experience with a modern programming language, preferably Python
- Advanced SQL skills
- Experience building and operating production data pipelines on major cloud platforms
- Azure cloud experience
- Experience with distributed processing engines, including Apache Spark
- Practical experience with event-driven architectures such as Apache Kafka and/or enterprise search engines such as Elasticsearch
- Understanding of data modeling, Medallion Architecture, data lineage, governance, and data quality frameworks
- Ability to collaborate with Analytics, Data Science, and Product teams
- Self-motivation, strong organizational skills, and ability to execute in a fast-paced environment
What We Do
At Parser we help organisations leverage on digital to advance their business strategy. For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products. Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents. Our services: - Digital Strategy & Transformation We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation. - Digital Portfolio Management Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process. - Product & Service Development We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.
