Data Engineer

Data Science Festival; London; Hybrid; GBP 60,000 - 70,000; Full time

Job summary

An innovative company is seeking a Data Engineer to join its dynamic team. This role offers the chance to design and maintain robust data pipelines, ensuring data accessibility and reliability. You'll collaborate with analysts and data scientists to build scalable data systems that empower smarter business decisions. With a focus on continuous development, the company provides an annual learning budget to enhance your skills. If you're passionate about data and eager to contribute to a data-driven environment, this opportunity is perfect for you.

Benefits

Annual Learning Budget

Hybrid Working

Qualifications

• Strong SQL and Python skills for building and optimising data pipelines.
• Experience with cloud platforms and modern data stack tools.

Responsibilities

• Design and maintain robust data pipelines in a collaborative team.
• Ensure data is well-structured and readily available for business decisions.

Skills

SQL

Python

Cloud Platforms (AWS, GCP, Azure)

Data Modelling

Data Warehousing Principles

Large Datasets Management

Tools

dbt

Airflow

Snowflake

Redshift

BigQuery

Job description

Data Engineer

Salary: £60,000 – £70,000

Location: Hybrid, London

Data Idols is proud to be working with a company on a mission to make data accessible, accurate, and actionable, helping teams across the business make smarter decisions. This is a great opportunity to join a data-driven environment where your work will directly contribute to building scalable and reliable data systems.

The Opportunity

As a Data Engineer, you’ll be part of a collaborative data team responsible for designing, building, and maintaining robust data pipelines. You’ll work closely with analysts, data scientists, and other engineers to ensure data is well-structured, reliable, and readily available. The company supports continuous development and provides an annual learning budget to help grow your technical skills.

Skills and Experience

• Strong SQL and Python skills for building and optimising data pipelines
• Experience working with cloud platforms (e.g., AWS, GCP, or Azure)
• Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery)
• Understanding of data modelling and warehousing principles
• Experience working with large datasets and distributed systems

What’s in it for you?

• Up to £70k
• Hybrid working