Data Engineer

Data Engineer (with Data Analytics Background)

Location: City of London

Employment Type: Full-time

Salary: £90,000–£100,000

Sector: Fintech

We’re looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector. This role is ideal for someone who began their career as a Data Analyst and has since transitioned into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it.

You’ll work extensively with Python, Snowflake, SQL, and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to someone who’s confident communicating with data, product, and engineering teams, not a “heads-down coder” type.

Top 4 Core Skills

• 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.

Key Responsibilities

• 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).

Skills & Experience

• 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.

Nice to Have

• 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.