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# Data analytics engineer

- **Company:** SECCL
- **Location:** London, UK (Remote available)
- **Salary:** £75,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Business Logic, Big Data, Continuous Integration, Information Engineering, Python (Programming Language), MongoDB, Cloud Services, Software Engineering, SQL Databases, Data Streaming, Data Processing, Data Analytics, Apache Kafka, Non-relational Database, Data Delivery, Software Version Control, Data Pipelines
- **Published:** October 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=98482c99543cd50a

## About the Role

* Have strong SQL and data modelling skills and are comfortable transforming large, complex datasets into reliable, reusable analytical models
 * Have experience with Python and modern analytics engineering tooling such as DBT, including testing, documentation, version control, and CI/CD practices
 * Are familiar with both relational and non-relational database architecture
 * Understand dimensional modelling and how to design datasets that are intuitive and effective for analytics, BI, and downstream data products
 * Have experience working with cloud data platforms and services, ideally within AWS
 * Ideally have experience with event-driven or streaming data architectures, particularly Kafka/AWS MSK, MongoDB change streams, CDC, or similar technologies
 * Have hands on experience working with an orchestration tool such as Airflow
 * Thrive in cross-functional collaboration, working effectively with Product managers, Engineers, Operations, analysts, and client facing teams
 * Communicate clearly and can explain technical concepts and trade-offs to both technical and non-technical audiences
 * Take ownership of problems end-to-end, from understanding the requirement and designing the solution through to implementation, validation, documentation, and adoption

## Description

Seccl is growing fast, and so is the opportunity to make better use of our data. Our Data Engineering team has built strong foundations for reliable, scalable data delivery, and we're now expanding our capabilities to make that data more accessible, actionable, and valuable to our teams and clients.

As a Data Analytics Engineer, you'll sit at the intersection of data engineering and analytics. You'll use strong software engineering and data modelling practices to develop production-quality datasets, while working closely with stakeholders to understand how data can help solve real business problems.

You'll also help us evolve how data moves through our platform, including opportunities to work with streaming and event-driven technologies as we move towards more timely and incremental data processing.

On a typical day you will be…

 * Designing, building, and maintaining robust data models using SQL and DBT, transforming complex source data into clear, reusable datasets for analytics and downstream consumers
 * Working with Product managers, Engineers, Operations, and client-facing teams to understand requirements, clarify business logic, and translate problems into scalable data solutions
 * Helping define and maintain consistent metrics, modelling standards, and analytical best practices across the business
 * Supporting our journey towards more real-time and incremental data processing, including working with technologies such as MongoDB change streams, Kafka, and AWS MSK
 * Helping teams become more self-sufficient with data by making datasets understandable, well documented, and easy to consume