Intellias

About the Company

Intellias is a global software engineering and digital consulting company and a trusted technology partner to top-tier organizations that helps them accelerate their pace of sustainable digitalization. We empower businesses operating in North America, Europe, Middle East, and Asia to embrace innovation at scale. For more than 20 years, Intellias has been building mission-critical projects and delivering measurable outcomes to ensure lasting change for our clients. We are contributing to the success of the world’s leading brands that include HERE Technologies, Rand McNally, TomTom, HelloFresh, and Travis Perkins.

Listed Jobs

Company Name

Intellias

Job Title

Senior Data QA Engineer

Job Description

Our client has a mission to become the leading B2B integrated technology solutions provider in the markets that we serve. A major programme of transformation in underway to redefine & optimise our operating models and modernising our business systems. Client’s Business Transformation is responsible for driving and accelerating change and transformation across people, process, and systems. Its role is to:
Provide portfolio management for all change initiatives ensuring they are assessed, prioritised, sequenced, and governed to maximise benefit to Client’s customers and co-workers, supported by robust Change Management.
Support change initiatives
Own business-wide initiatives including the implementation of Salesforce, to support initially the delivery of CRM capability across the UK Business.
Therefore, we are looking for an Data QA to join a growing team to support Data Migration activity, ensuring seamless integration and data flow between new and legacy systems.
Requirements:
Proven 3+ experience as a Data QA Tester or similar role, with a focus on data integration and migration testing, specifically Salesforce reports and dashboards.
Strong & Proven proficiency in Behaviour-Driven Development (BDD) techniques, tools (e.g., Cucumber, SpecFlow), and frameworks.
Extensive hands-on experience with Salesforce testing, including report validation, data validation, and dashboard testing.
Proficiency in dataset generation techniques, SQL querying, and data manipulation.
Experience working in Agile development methodologies, such as Scrum or Kanban, with a strong understanding of the testing lifecycle in Agile projects.
Ability to effectively test, validate, and verify Salesforce reports and dashboards against business requirements.
Excellent analytical skills and attention to detail, with the ability to identify data inconsistencies, anomalies, and discrepancies.
Strong communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.
Proactive mindset, with a passion for continuous learning and staying abreast of the latest trends and advancements in data QA testing.
Experience of reconciliation testing between source and target data sources.
Nice To Have
Experience with Azure DevOps, including Test Plan experience.
Employing automation tools and frameworks to streamline testing processes and increase efficiency, particularly for regression testing.
Personal Attributes
Self-driven, does not require micromanagement.
Comfortable in fast-paced environments with occasionally shifting, ambiguous requirements.
Passionate about both process and technology and the impact they can have on business and our customers.
Articulate and credible.
Quality and detail-oriented.
Positive attitude and influence on others.
Fast learner and able to adapt to new technology and keep abreast of current industry trends and practices.
Excellent communicator in all forms to key stakeholders.
Excellent organization and time management skills.
Responsibilities:
Develop Test Plans and Strategies: Create comprehensive test plans and strategies for the Salesforce project, ensuring all aspects of the program are covered.
Design and Execute Test Cases: Develop and execute detailed test cases to identify and report bugs, glitches, and other issues, ensuring thorough testing of all functionalities.
System and Functional Testing: Perform system and functional testing to ensure the solution meets business requirements and acceptance criteria, validating the effectiveness of the integration.
Issue Resolution: Collaborate with developers to resolve issues and improve the user experience, ensuring a seamless integration process.
Maintain Test Documentation: Keep detailed test documentation and record defect details. Track defects through their lifecycle, from identification to resolution and retesting, ensuring closure.
Quality Assurance: Ensure that the software meets the quality criteria established by the program team and end users, maintaining high standards of performance and reliability.
Regression Testing: Conduct regression testing to ensure new solutions or updates do not negatively impact existing core processes, maintaining system integrity.
Comprehensive Testing: Where applicable, appropriate, and feasible, ensure that testing includes performance, regression, functionality, non-functional, and integration tests, providing a holistic approach to quality assurance.
Manual and Automated Testing: Perform both manual and automated testing to ensure thorough coverage and efficiency in the testing process.
Reconciliation Testing: Designing tests and validations to ensure that migrated data is consistent across each phase of the migration pathway, from source staging to Salesforce.

England, United Kingdom

Hybrid

12-03-2025

Company Name

Intellias

Job Title

Senior Data Engineer

Job Description

Senior Data Engineer
Our client is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, the company was founded in 1984 and employs approximately 14,900 coworkers.
Client has a mission to become the leading B2B integrated technology solutions provider in the markets that we serve. A major programme of transformation in underway to redefine & optimise our operating models and modernising our business systems. Client’s Business Transformation is responsible for driving and accelerating change and transformation across people, process, and systems. Its role is to:
• Provide portfolio management for all change initiatives ensuring they are assessed, prioritised, sequenced, and governed to maximise benefit to Client’s customers and co-workers, supported by robust Change Management.
• Support change initiatives
• Own business-wide initiatives including the implementation of Salesforce, to support initially the delivery of CRM capability across the UK Business.
• Therefore, we are looking for a Data Engineer to join a growing team to support Data Migration activity, ensuring seamless integration and data flow between new and legacy systems.

Requirements:
Must Have (3 + years of expirience)
Strong experience with data integration and migration, particularly with Salesforce.
Experience with programming languages such as Python, C#, or PowerShell.
Strong experience in writing text cleansing routines in Databricks Python/SQL and the ability to measure data quality/execute data validation tests, ideally in Databricks.
Proficiency in Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks.
Proficiency in building pipelines and utilising python/SQL within Databricks
Experience with DevOps practices, including CI/CD, unit testing, and version control.
Excellent written and verbal communication skills.
A minimum of 2 years of experience in a data engineering role.
Nice To Have
Experience with Power BI and data visualisation tools.
Certified SCRUM Developer (CSD) or similar certifications.
Personal Attributes
Self-driven and organised.
Comfortable in fast-paced environments with shifting requirements.
Passionate about technology and its impact on business.
Excellent communicator and team player.
Detail-oriented and quality-focused.
Responsibilities:
Data Integration and Migration: Ingest, cleanse, and model data from various sources, including on-premise SQL databases, REST APIs, and Salesforce, ensuring data quality and consistency.
Salesforce Integration: Define and implement data integration solutions to support Salesforce, ensuring data is accurately migrated and integrated into Salesforce from legacy systems.
Data Quality Assurance: Define and apply cleansing rules to the data to ensure it meets quality expectations. Monitor data pipelines to ensure business-critical data is processed within time constraints and quality standards.
DevOps Practices: Utilise DevOps approaches to software development and support, including creating high-quality code, implementing CI/CD pipelines, and conducting peer reviews.
Collaboration and Documentation: Work closely with the data migration team to translate user requirements into technical specifications. Document datasets, solution designs, and integration processes in data catalogues and wikis.
Stakeholder Engagement: Build strong relationships with stakeholders to gather requirements, prioritise activities, and support change management efforts related to the Salesforce Integration project.
Ad-hoc Analysis: Perform ad-hoc analysis of structured and unstructured data to inform solution design and support decision-making processes.

Why this client?
It is a big TOP 200 US company that provides multiple Enterprise solutions across different business domains: retail, healthcare, education. It is opportunity to work on the platform similar to how Amazon operates.
Looking for engineers to start development of new platform.
Why this team?
There are about 100+ engineers already on the account. Most of them are Senior ones with 10+ years of commercial experience.
Why this technology?
There are many different technologies as the client's product paltforms are being evolved at the moment as a part of global modernization strategy.

London, United Kingdom

Hybrid

17-03-2025