Test Engineer

London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Test Engineer

Automotive Test Engineer

Service and Test Engineer

LabVIEW Automation & Test Engineer

Test Automation Engineer - 12 month FTC

Senior Test Lead Engineer | Network Services

Job Title: Test Engineer
Location: Remote
Salary/Rate: £440
Start Date: 05/05/2025
Job Type: Contract

Job Responsibilities/Objectives:
You will be responsible for ensuring data quality and integrity by developing, maintaining, and executing automated data tests across complex ETL pipelines and cloud-based systems. This includes collaboration with cross-functional teams to implement effective testing strategies and improve continuous integration and delivery practices.

Design, develop, and maintain automated test scripts in Python for data validation and ETL testing.
Conduct thorough testing of ETL processes within AWS environments to ensure accuracy and performance.
Collaborate with data engineers and analysts to troubleshoot complex data issues and ensure test coverage.
Implement and integrate automated testing into CI/CD pipelines for seamless deployment processes.
Analyse large datasets to identify and resolve data quality issues efficiently.
Work within Agile teams to deliver high-quality, tested data solutions in iterative development cycles.

Required Skills/Experience:
The ideal candidate will have the following:

Proficiency in Python with a strong background in writing automated test scripts.
Solid understanding of ETL processes and hands-on experience with AWS services such as Glue, Lambda, and Redshift.
Familiarity with SQL for data querying, manipulation, and validation.
Experience with data testing frameworks and integrating them into CI/CD environments.
Strong analytical and problem-solving skills for handling large and complex datasets.
Prior experience in roles such as Data Test Engineer, ETL Tester, or similar, preferably within Agile teams.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.

Careers Jobs

Data Engineering Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

The world of data engineering has rapidly emerged as a critical pillar for businesses, enabling them to extract insights from vast amounts of information and power data-driven decision-making. From building scalable ETL pipelines to designing real-time streaming infrastructures and cloud data warehouses, data engineers are in high demand across every industry—from tech giants to healthcare providers to financial institutions. If you’re seeking a data engineering role, you may already know that interviews can be rigorous, spanning software development, database design, distributed systems, and cloud computing. Many organisations need engineers who can handle both traditional batch processing and cutting-edge real-time analytics frameworks, all while keeping data secure, consistent, and optimised. In this guide, we’ll explore 30 real coding & system-design questions that often come up in data engineering interviews. From classic coding challenges to architecture-focused scenarios, these questions will help you gauge your readiness and build confidence before stepping into that interview room. If you’re actively searching for new data engineering opportunities in the UK, www.dataengineeringjobs.co.uk is a fantastic resource. It features a wide range of vacancies—from junior data engineering positions to senior-level cloud architecture roles. Let’s dive in so you can approach your next interview with insight and poise.

Jobs

Negotiating Your Data Engineering Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Reflects Your Value in the UK’s Fast-Growing Data Ecosystem Introduction Data engineering has quickly become the backbone of modern business operations. Whether powering analytics platforms, migrating data to the cloud, or building pipelines for machine learning, data engineers enable organisations to extract meaningful insights from vast datasets. With companies across every sector looking to harness data for competitive advantage, mid‑senior data engineers are in especially high demand—and that spells opportunity for you to negotiate a compelling compensation package. Yet for many professionals, negotiations around a job offer still focus primarily on salary, leading them to overlook valuable components such as equity, performance bonuses, and perks that can collectively add significant value to your overall deal. In the world of data engineering, it’s not uncommon to see advanced compensation packages involving shares, annual or quarterly bonuses, and a range of benefits that support both your technical growth and work-life balance. This guide aims to be your comprehensive manual for negotiating a data engineering job offer in the UK. We’ll cover why negotiation isn’t just about your monthly paycheck, explore how equity works in data-centric organisations, break down different bonus structures, and highlight perks that matter most for mid‑senior professionals. By the end, you’ll have the knowledge—and the confidence—to land a package that fully reflects your critical role in unlocking the power of data.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.