Location:

Central London (2 days/week onsite)Salary:

60,000 - 70,000 (depending on experience)Employment Type:

Full-Time, PermanentOverview

A dynamic consultancy is seeking a Senior Analytics Engineer to lead the development of scalable data solutions across a range of high-impact projects. This role offers the opportunity to work at the intersection of data engineering, analytics, and software development, contributing to innovative products and services that drive real business value.Key Responsibilities

Design and implement robust data pipelines using tools such as

dbt

and

Airflow .Collaborate with clients to understand business challenges and deliver tailored data solutions.Transform raw data into structured, actionable datasets for use in

AI ,

predictive modelling , and

platform development .Promote engineering best practices including automation, testing, and code quality.Mentor junior team members and lead technical workstreams to elevate team capability.Essential Skills and Experience

Proven experience in

analytics engineering ,

data engineering , or

model development

roles.Advanced proficiency in

Python

(including libraries such as NumPy and Pandas) and

SQL .Demonstrated ability to deliver production-ready solutions in a commercial environment.Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes.Hands-on experience with

cloud platforms

(preferably AWS or Snowflake) and

ETL/ELT orchestration tools

(e.g. Airflow, dbt).Desirable Skills

Familiarity with tools such as

MongoDB ,

Glue ,

Athena , and

React .Experience in

API development

and working with modern data infrastructure.Ability to work independently, solve complex problems, and contribute ideas proactively.Working Environment

Hybrid working model with 2 days per week in a central London office.Collaborative, fast-paced consultancy environment with a focus on innovation and impact.

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