> Markdown version of [/jobs/ext/2046937-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2046937-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Zepz - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £82,784.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Digital Assets, Monitoring of Systems, Python (Programming Language), Meta-Data Management, Performance Tuning, Software Tools, Cloud Services, Standard Sql, DataOps, Scala (Programming Language), Workflow Management Systems, Datadog, Google Cloud, Data Ingestion, Apache Spark, Build Management, Data Lakes, Apache Flink, Data Management, Video Streaming, Terraform, Stream Processing, Data Pipelines, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5837676845 ## About the Role * Experience: At least 7 years of experience in data engineering, with a strong emphasis on developing data platforms, data modeling, and managing data assets. * Data Platform Expertise: In-depth, hands-on experience with technologies for data ingestion, job orchestration, data warehousing, and reporting. * ETL/ELT: Proven ability to design, implement, and manage robust ETL/ELT pipelines using various tools (e.g., Spark, dbt). * Cloud Platforms: Strong experience with cloud data platforms (e.g., AWS, GCP, Azure), including compute, storage, and database services. * Programming: Proficient in SQL and advanced programming in at least one language (e.g., Python, Scala, Java). * Orchestration: Experience with workflow orchestration tools (e.g., Astronomer, Apache Airflow). * Data Governance: Solid understanding and practical experience with data governance principles, data cataloging, and metadata management. * Performance Optimization: Demonstrated ability to optimize data platform performance and manage compute resources efficiently. * Problem-Solving: Excellent analytical and problem-solving skills with meticulous attention to detail. * Communication: Strong communication and interpersonal skills, capable of articulating complex technical concepts to both technical and non-technical audiences. Bonus Points * Experience in the financial services or FinTech industry, specifically with cross-border payments. * End-to-end experience building data platforms, connecting all components from ingestion to reporting, using industry-standard tools. These include: Fivetran (ingestion), Databricks (lakehouse), Astronomer/Apache Airflow (orchestration), and Metaplane/Datadog (observability). * Proficiency in data modeling tools and techniques (e.g. dbt). * Familiarity with modern data lake formats such as Delta Lake and Iceberg. * Experience with real-time data processing and streaming technologies (e.g. Flink, Epsio). * Experience with infrastructure as code (e.g., Terraform) for managing data platform resources. * Familiarity with data observability and monitoring tools (e.g. Metaplane, Datadog). * Proficiency in BI and data visualization tools; experience using Mode is preferred. * Experience using Blackline or Autorek reconciliation software AI Literacy & Tools As Zepz continues to build AI into how we work, we expect everyone to engage with it as a core part of their role. For this position we are looking for: * A genuine curiosity about AI and how it can be applied in your area of work - from accelerating analysis and insight generation, to improving how we design and deliver processes and communications. * Practical experience using AI tools in a professional context - whether to connect information, draft content, build frameworks, or create insights from data. We want people who actively use AI to increase productivity, not those who are waiting to be told to. * Strong AI literacy - an understanding of what AI assistants can and cannot do, how to prompt effectively, and how to critically evaluate AI-generated output before using it. * Awareness of the ethical considerations and responsible use of AI in the workplace, particularly in the context of sensitive data, customer experience, and compliance. * Prior experience using Claude (Anthropic) is a nice-to-have but not essential - what matters most is that you are genuinely engaged with AI as a tool, comfortable experimenting, and eager to share what works with your wider team If you want to join us in our journey to help break barriers in financial access and improve lives globally, there's no better place or time to join. Our global team of 800+ people is spread across six continents. We aspire to hire the best mix of people from former Olympians to YouTube influencers and we speak over twenty languages. This incredible diversity isn't a bonus; it's the engine that lets us serve the world. ## Description We are seeking a highly skilled and experienced Senior Data Engineer to lead the development and management of our data platform. This pivotal role will focus on supporting critical data needs and developing foundational data models that are essential for advancing our cross-border remittances business. You will leverage your expertise in data warehousing, transformation, and modeling to build robust and scalable data solutions. Your responsibilities will encompass the entire build and deployment lifecycle of data movement and transformation, including managing users, scaling compute resources, and ensuring the platform operates optimally and efficiently. A key focus will be on maintaining robust data governance, ensuring data is well-defined, searchable, and trusted across the entire organization. What you'll own Data Modeling & Management * Design, implement, and evolve data models for core datasets, including creating new models and enhancing existing ones to meet business requirements. * Collaborate with stakeholders across the organization to translate commercial objectives into trusted data outcomes and dependable solutions. * Establish and enforce data governance policies to guarantee data quality, security, and compliance. * Implement and maintain data cataloging and metadata management solutions for easy data discoverability and self-serve. Platform Operations & Optimization * Manage all aspects of the build and deployment lifecycle for data movement and transformation processes. * Oversee user access and resource allocation for compute infrastructure, ensuring efficient scaling and utilization. * Ensure effective use of platform tools and resources for efficient ETL/ELT processing, providing customized tooling where appropriate. * Manage the costs associated with all data platform technologies through effective tooling. Technical Leadership & Innovation * Provide technical leadership and mentorship to other data engineers within the team. * Evaluate and integrate new data technologies and tools to enhance the capabilities and efficiency of the data platform. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Your next 10x engineer isn't in your city. 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