Data Engineer

Intec Select; City Of London; Hybrid; GBP 130,000; Full time

Job summary

A prominent FinTech company is seeking a skilled Senior Data Engineer to manage analytical data models and support decision-making across the business. The role requires strong SQL and data modeling skills, along with fluent Russian. This is a permanent position with a hybrid work setup and a competitive salary package including bonuses and benefits.

Qualifications

• Experience as an Analytics Engineer or Data Engineer, particularly in data modelling.
• Strong communication and documentation skills.
• Familiarity with workflow orchestration and BI tooling.

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.

Skills

Fluent Russian

Data modelling

SQL

dbt

Cloud data platforms (Snowflake, Redshift, BigQuery)

Python

Version control (Git)

Communication skills

Detail-oriented mindset

Job description

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

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