Test Engineer

Change Job Ltd
Edinburgh, UK
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Business Analytics Applications Automation of Tests Microsoft Azure Software Bug Management Cloud Computing Databases Data Validation Information Engineering Extract Transform Load (ETL) Data Transformation Data Migration Data Systems
+19 more
Data Warehousing Database Applications Database Queries Python (Programming Language) Microsoft Software Microsoft SQL Server Power BI Software Engineering Strategies of Testing Freeform SQL Azure Data Factory Test Scripts Backend Microsoft Fabric Pyspark Data Management Azure Synapse Analytics Data Pipelines Databricks

Job description

I’m looking for an experienced and driven Test Engineer to join my clients growing Data & Analytics practice. This is an exciting opportunity to work on enterprise-scale data transformation and analytics programmes, ensuring the quality and integrity of modern cloud-based data platforms. As a Test Engineer, you will work closely with clients, business stakeholders, developers, data engineers, and solution architects to deliver robust testing solutions across data warehousing, business intelligence, reporting, and cloud analytics environments. Its hybrid working (3 days from home) and you need to live within commuting distance from one of their offices in Edinburgh, London, Manchester, Birmingham or Leeds The Role You will be responsible for designing, executing, and managing test activities across a range of data-focused projects leveraging Microsoft technologies. Key responsibilities include:

  • Designing and executing test strategies, test plans, test cases, and test scripts.
  • Performing functional, integration, system, regression, user acceptance, and data validation testing.
  • Testing data solutions
  • Validating ETL/ELT processes, data pipelines, and data transformations.
  • Conducting database and back-end testing using complex SQL queries.
  • Ensuring data quality, completeness, integrity, and reconciliation across multiple systems.
  • Identifying, documenting, tracking, and managing defects through to resolution.
  • Working collaboratively with Agile delivery teams to ensure quality throughout the software development lifecycle.
  • Supporting test automation initiatives where appropriate.
  • Producing clear and concise testing documentation and reports for stakeholders.

Requirements

  • Experienced Test Engineer, Test Analyst, or QA Engineer
  • Experience testing data-centric applications and analytics platforms
  • Strong MS SQL Server skills, including query writing and data validation
  • Experience testing cloud-based solutions within Microsoft Azure
  • Understanding of Azure Databricks and data engineering workflows
  • Knowledge of data warehouses, ETL/ELT processes, and data migration testing
  • Excellent defect management and root cause analysis skills
  • Experience working within Agile delivery environments
  • Strong stakeholder management and client-facing communication skills
  • Ability to work independently and as part of a collaborative team

  • Experience within Financial Services, Retail, Utilities, Public Sector, or Insurance sectors

Desirable Skills

  • ISTQB Foundation or Advanced Certification
  • Experience with test automation tools and frameworks

  • Experience validating dashboards, reports, and datasets within Power BI

  • Azure Data Factory
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Python or PySpark

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.co.uk

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · WWC Europe 2026

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

See all

Related articles

See all