Data Engineer

Quickline Communications; Hull and East Yorkshire; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading broadband provider is seeking a Data Engineer to design and develop robust data pipelines and enhance data quality. This role requires proficiency in Python and SQL, along with experience in data modelling and orchestration tools. Join a team dedicated to providing reliable broadband solutions tailored to customer needs. Benefits include a pension scheme, generous annual leave, and various discounts.

Benefits

5% employer pension contribution

Healthcare benefits

25 days annual leave

Option to buy additional leave

High Street shopping discounts

Free on-site parking

Regular social events

Qualifications

• Previous experience in data engineering or backend development is essential.
• Strong understanding of data modelling and schema design is required.
• Expertise in Python and SQL is crucial for reliable solutions.

Responsibilities

• Design and develop scalable data pipelines for analytics.
• Build and optimise data models using data lakes.
• Collaborate with stakeholders for data solutions.

Skills

Data modelling

Schema design

Normalisation

Python

SQL

Modern data warehousing

Orchestration tools

Machine learning methods

Tools

Databricks

Airbyte

Azure

Keras

TensorFlow

Scikit-learn

Job description

Overview

• Location: Willerby, East Riding of Yorkshire, United Kingdom
• Earnings: Depending on Experience

Data Engineer

We're Quickline, and we believe everyone deserves great internet. Whoever you are, wherever you are and whatever you do online - our customers are at the heart of everything we do. So we're on a mission to provide lightning fast, reliable broadband that reaches the places other providers leave behind. Our mission relies on a team full of inspiring, customer obsessed people, and we're looking for a Data Engineer to build, optimise, and maintain the data architecture that powers our analytics.

If you thrive in a fast-paced environment, enjoy building systems from the ground up, and take pride in creating clean, well-structured data, we'd love to hear from you.

Responsibilities

• Design and develop scalable data pipelines and ETL processes that power analytics and insight across the business.
• Build and optimise data models using data lakes and a data warehouse, shaping the backbone of our data ecosystem.
• Collaborate with GTM and product analysts, plus other key stakeholders, to translate business needs into well-structured data solutions.
• Automate data ingestion from a variety of internal and external sources, making data more accessible and efficient.
• Safeguard and enhance data quality, security, and compliance while implementing tools for orchestration, workflow management, and performance monitoring.

Requirements

• You'll have previous experience in data engineering or backend development.
• Strong understanding of data modelling, schema design, and normalisation.
• Proficiency in Python and SQL to build robust, reliable solutions.
• Familiarity with modern data warehousing (e.g., Databricks) and orchestration tools (e.g., Airbyte); Azure experience is a plus.
• Exploration of machine learning methods and tools (Keras, TensorFlow, Scikit-learn) is an added strength.

Benefits

• Pension - 5% employer / 5% employee contribution.
• WPA Health Scheme with various healthcare benefits.
• 25 days annual leave + bank holidays, plus birthday, house move, and wedding day off.
• Option to buy up to 3 additional days annual leave.
• Discounts through High Street Shopping Scheme on holidays, food and drink, insurance, sport, tech, and more.
• Free on-site parking.
• Regular Lunch & Learns and company-wide Elevenses meetings to discuss company direction.
• Social events, including Summer and End of Year parties.
• Thank Q Awards with monthly and yearly prize opportunities.
• More benefits to come.

Note: Quickline have an internal recruitment team. We will not accept unsolicited CVs from any source other than directly from a candidate via our Applicant Tracking System (ATS). For further information refer to our careers page.

Please note: You must have the right to work in the UK in order to be successfully appointed to this role.

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