Data Engineer

Location: Remote – with requirement to visit London based office twice a month

Hours: 37.5 Hours a week (Monday – Friday 9:00am – 17:00pm)

Salary Range: £40,000 – £80,000 per annum (Depending on Experience)

Contract Type: Permanent, Full-Time

About the Opportunity

An outstanding opportunity has arisen for a Data Engineer with various levels of experience to join an innovative, forward-thinking Data division within a UK-leading, award-winning corporate organisation.

In this role, you will become part of a highly collaborative team comprising data and AI engineers, data scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support advanced analytics and directly improve products across the entire business.

This is a fantastic opportunity to work on a highly modern technology stack and learn from an exceptional team, offering immense scope for technical growth and career development.

Key Responsibilities

Data Product Development: Build and support robust data products within a modern, cloud-based data platform.
Collaborative Design: Design and deliver innovative data solutions alongside data engineers, scientists, and product teams.
Pipeline Optimisation: Develop, maintain, and optimize scalable data pipelines across the analytics platform.
Data Integration: Integrate large, diverse datasets from various sources while maintaining exceptionally high quality and governance standards.
Platform Orchestration: Maintain the orchestration, proactive monitoring, and general performance of data platform components.
Engineering Excellence: Champion high coding and data practice standards, helping to improve engineering processes across the wider data community.
Innovation: Experiment with emerging data, machine learning (ML), and generative AI technologies to drive business value.
Architectural Partnership: Partner with data architects on the high-level design of data products.
Agile Squads: Work collaboratively within multi-functional agile squads.
AI Infrastructure : Support machine learning and GenAI infrastructure and end-to-end workflows.

What We Are Looking For

To be successful in this role, you will have a genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise:

Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS.
Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow.
Data Modelling: Advanced SQL skills and extensive experience with end-to-end data modelling.
Data Integration: Proven experience building both batch and real-time data integrations.
CI/CD & Infrastructure: Hands-on CI/CD experience with Git, Jenkins, or similar tools, along with knowledge of Terraform or equivalent Infrastructure as Code (IaC) tools.
Data Ingestion: The ability to successfully ingest, cleanse, and structure large, complex datasets.
Desirable Skills: Prior experience with Docker and Kubernetes, or exposure to production-level Generative AI, is highly beneficial.
Collaboration: Strong communication and collaboration skills, coupled with a proactive, inquisitive attitude.

Salary, Benefits & Culture

This organisation has been officially recognised as a leading UK employer, offering an inclusive, supportive, and modern environment where your development is fully supported. Alongside a highly competitive salary, you will receive a comprehensive and flexible rewards package:

Flexible & Hybrid Working: Modern hybrid working options designed to support work-life balance, with flexibility around working hours and genuine part-time or job-share arrangements available.
Generous Annual Leave: A highly competitive annual leave allowance with options to customise your holiday balance through buying and selling schemes.
Health & Wellbeing: Comprehensive healthcare options, including dental plans, health cash plans, screening services, and dedicated mental health and wellness support.
Financial Benefits: Highly competitive corporate pension plans, regular salary reviews, discretionary bonus schemes, and exclusive employee savings and loan initiatives.
Family-Friendly Policies: Enhanced paid parental and partner leave schemes, alongside structured return-to-work programmes to support family life.
Perks & Lifestyle: Tech saving schemes, cycle-to-work programs, vehicle scheme options, and a variety of corporate lifestyle discounts and social club events.

How to Apply

If you are an ambitious Data Engineer looking to work with cutting-edge technologies within a highly collaborative and rewarding environment, please submit your CV for consideration.

DATA ENGINEER

Start with your email