Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

ETL Test

Cornhill, Greater London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Urgent Contract Test Lead
Location: London (3 days/week from office)
Employment Type: 3 months contract initial
Key Skills: ETL Testing
Daily Rate: £250 per day (inside IR35)
As a Data Test Engineer / ETL tester you would be responsible for validating data sources, extracting data applications of transformation logic, and uploading data in target tables.
You would be responsible for designing, testing, and troubleshooting the company's data storage system before it goes live.
Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts
Define scope, execution plans, and coordinate test activities
Ensure all sign-offs on deliverables (overall test strategy, test plan, test cases, ) and that testing meets governance requirements
Responsible for ensuring the quality of their work the work of the entire development team
Strong experience in of the following technologies preferred -SQL, PYTHON, JavaScript, Java
Participate in data conversion Testing and data maintenance, authoring SQL queries to fetch the data between various databases, execute them and analyze the data
Create SIT test cases/test data and perform Test execution
Validates data by running queries in the database and verify that the results match the expectations
Will be responsible to ensure quality of process and measurements are acceptable in accordance with the specifications
Analyses and troubleshoots erroneous results, determines the root cause of defects, logs the defects in JIRA and enables defect management, including working with the development team on the resolution of Software related defects
Works closely with the software development team (Data Engineer, Business Analysts, Developers & other testers) to ensure timely and effective testing effort
Writing queries to extract data for test case data comparisons
Requirements:
4+ experience as Data warehouse developer tester or ETL Tester
Graduate degree preferred in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Expert in understanding and implementing QA/Testing Lifecycle
Expertise in DB-related testing and ETL testing
Testing experience with reporting and BI tools
Writing basic SQLs to check record counts, data truncation, invalid data types, NULLs and data integrity, data transformation, aggregate functions testing
Expertise preferred in testing our current or a similar analytics stack
Experience in transforming complex Business logic into SQL or PL/SQL queries
Must be a self-starter with the ability to work on complex projects and analyzes business requirements independently
Must be able to identify and document testing issues and quality risks, participate in defect remediation
Willingness to follow Agile Testing practices and guidelines, including Defect Management
Actively participate in all test management activities like assessment, test strategies and test plans
Knowledge of Database objects and relational data model
Experience in scripting
Test automation experience is huge plus
Understanding of ETL requirements (source-to-target mappings)
Testing experience with different file types

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.