Data Quality Lead at Egis Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Management, Data Governance, Data Analytics, Data Management Tools, BI Platforms, SQL, Excel Macro, Data Cleaning, Validation Processes, Analytical Skills, Problem-Solving Skills, Proactiveness, Interpersonal Skills, Curiosity

Industry

Civil Engineering

Description

Company Description Egis Engineering is an independent multi-disciplinary consultancy providing engineering services for the built environment. We are based in the Middle East, India and deliver engineering solutions around the globe. Joining Egis is a leading global consulting, construction engineering and operating firm. We work together with our clients across every aspect of transport, energy, and the built environment to build a more balanced, sustainable, and resilient world. Egis group comes with more than 50 years of experience and a team of 20,000 employees in over 120 countries around the world. Joining our Group means, above all, sharing our values as a people-first company, strongly committed to sustainability and innovation. Job Description We are looking for a Data Quality Lead to ensure the accuracy, consistency, and reliability of HR data across global systems. In a fast-growing environment, you will play a key role in guaranteeing that decision-makers have access to high-quality data for reporting, analytics, and strategic planning. Key responsibilities will include: Data Quality Management Define and enforce data quality standards, processes, and controls. Conduct regular audits to identify inconsistencies and ensure data integrity. Governance & Compliance Ensure compliance with GDPR and internal data protection policies. Maintain documentation of data quality procedures and technical guidelines. Monitoring & Reporting Develop dashboards and KPIs to track data quality performance. Follow the evolution of KPIs and track the corrections done locally. Collaboration & Training Work closely with internal cross-functional stakeholders to align data quality initiatives. (Including regions - Finance, HR and IT). Guide stakeholders on best practices for data entry, maintenance, and usage. Continuous Improvement Keep abreast of the trends in data governance. Propose innovative solutions to enhance data reliability and usage. Qualifications Qualification Requirement: MBA – Good to have Any Undergraduate – Information Systems Data analytics certification – Good to have. Minimum 5–7 years in data quality, data governance, or BI roles, ideally in an HR context. Technical Expertise Strong knowledge of data management tools and BI platforms (Power BI, Power queries, Excel Macro, SQL, etc.). Familiarity with data cleaning, validation, and delivery processes. Soft Skills Excellent analytical and problem-solving skills. Proactiveness Curiosity Interpersonal Skills Additional Information Equality, Diversity & Inclusion We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one’s contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected. Business Line: Shared Services Type of contract: Permanent contract Service Line: Shared Services ITE Region: Middle East and South Asia Job Family: Digital, Information and Technology Profession: Data

Responsibilities

The Data Quality Lead will ensure the accuracy, consistency, and reliability of HR data across global systems. Key responsibilities include defining data quality standards, conducting audits, ensuring compliance with data protection policies, and developing dashboards to track data quality performance.