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Senior Data Engineer – Hybrid / London - £130K + Bonus & Benefits – FinTech


Overview:

An established global FinTech organisation is seeking a skilled Senior Analytics Engineer / Data Engineer to help define and manage its analytical data models and semantic layers.

You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business.

Fluent Russian language skills are essential for this role.


Role & Responsibilities:

  • Build and maintain scalable semantic/analytics layers to create consistent business metrics and definitions.
  • Work with teams across the business to understand requirements and translate them into reliable models.
  • Develop core data models following modern data warehouse principles.
  • Write high-quality SQL and maintain dbt-based transformations, tests, and documentation.
  • Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem.
  • Collaborate with data engineering teams to shape upstream data needs.
  • Work with analysts and data consumers to promote usability and data literacy.


Essential Skills & Experience:

  • Fluent Russian language proficiency.
  • Experience as an Analytics Engineer or Data Engineer, particularly in data modelling.
  • Strong SQL and hands-on dbt experience.
  • Ability to convert business requirements into logical, scalable data models.
  • Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery).
  • Strong communication and documentation skills.
  • Structured, detail-oriented mindset.

Desirable:

  • Experience with semantic modelling tools (e.g., dbt SL, LookML).
  • Familiarity with workflow orchestration and BI tooling.
  • Version control experience (Git).
  • Python for scripting.


Offer Details:

  • Type: Permanent
  • Location: London / Hybrid (4X per week in London)
  • Compensation: £130K & Bonus + benefits
  • Health & wellbeing support
  • Learning & development opportunities
  • Social / team activities

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