Data Engineer

Data Engineer (with Data Analytics Background) – City of London, United Kingdom. This role focuses on designing, building, and maintaining scalable data pipelines and models to support decision-making across the business. The candidate should have a strong background in data analytics and experience in the Fintech sector, with the ability to understand business context as well as technical implementation.

Location: City of London

Employment Type: Full-time

Sector: Fintech

This range is provided by 83data. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

• Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases.
• Develop and maintain Python workflows for data ingestion, transformation, and automation.
• Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs.
• Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions.
• Write production-grade SQL and ensure data quality through testing, documentation, and version control.
• Promote best practices around data reliability, observability, and maintainability.
• (Optional but valued) Contribute to Infrastructure as Code and CI/CD pipelines (e.g., Terraform, GitHub Actions).

• Python — workflow automation, data processing, and ETL/ELT development.
• Snowflake — scalable data architecture, performance optimisation, and governance.
• SQL — expert-level query writing and optimisation for analytics and transformations.
• dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control.

• 5+ years of experience in data-focused roles, ideally progressing from Data Analyst to Data Engineer.
• Proven Fintech or Payments industry experience — strong understanding of the data challenges and regulatory context within the sector.
• Deep proficiency in Python, Snowflake, SQL, and dbt.
• Excellent communication and collaboration skills, with the ability to work effectively across data, product, and business teams.
• Solid grasp of modern data modelling techniques (star/snowflake schemas, data contracts, documentation).
• Experience working in cloud-based environments; familiarity with Terraform or similar IaC tools is a plus.
• Proactive, delivery-focused, and able to contribute quickly in a fast-moving environment.

• Experience with Power BI or other data visualisation tools.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Understanding of CI/CD practices in data and analytics engineering.
• Knowledge of data governance, observability, and security best practices in cloud environments.

• Mid-Senior level

• Information Technology

We strive for fair recruitment and encourage applicants from all backgrounds. This listing may include interim notes and market context; the essential focus remains on the responsibilities and qualifications required for the Data Engineer role.