Data analytics engineer

About the role

Seccl is seeking a Data Analytics Engineer to sit at the intersection of data engineering and analytics. You will use software engineering and data modelling practices to develop production-quality datasets while collaborating with stakeholders to solve business problems and evolve data processing capabilities.

Responsibilities

• 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

Required skills

• SQL
• Data modelling
• Python
• DBT
• Relational database architecture
• Non-relational database architecture
• Dimensional modelling
• AWS
• Airflow

Nice to have

• Kafka
• AWS MSK
• MongoDB change streams
• CDC

Benefits

• 27 days holiday
• Birthday day off
• Dependant leave
• Volunteering days
• Paid sabbatical
• 6% employer pension contribution
• Life assurance
• Private medical insurance
• Enhanced Parental leave
• Learning budget

About the Company

Seccl is the Octopus-owned embedded investment platform, building the infrastructure behind the next generation of investing. They power fintechs, banks, financial advisers and wealth firms, and are B Corp certified.