Location: Limassol; Nicosia; London; Athens; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
We are looking for a passionate and experienced Data Steward to join our fast-growing team! The successful candidate will join a Data Governance team responsible for collaborating with our main IT stakeholders and the business data consumers to implement standard methodologies related to data cataloguing, data issues process, implementing data quality metrics and governance model plus establishing business rules and data requirements that align with each department’s goal.
The main responsibilities of the position include:
Be the eyes and ears for data-related matters within an organisation
Engage with data champions and working groups across the organisation
Implement standardised data process and guidelines to ensure they are being followed
Drive consistent data accuracy, serve as an escalation point and resolve data related issues
Create and maintain business metadata definitions, domain values and business rules
Support Data Catalogue implementation, development, and enrichment
Support governed change control of metadata
Embed data ownership
Guide and advise the business users, projects, and IT teams on meaning and use of data
Perform execution of data issue process
Assist in the development of data domain business rules (algorithms, calculations, processing requirements, etc.)
Work with the Data Quality Analyst team to define data standards, business rules and embed best practice
Main requirements:
BSc/MSc in Information Technology or any other related field
Minimum 2 years’ experience in data stewardship or a similar role
Excellent stakeholder management and collaboration skills
Sound knowledge of data governance practices and processes
Good understanding of data quality processes
Experience working with business, operational data and technical teams to clearly detail data governance and metadata requirements
Experience in executing remediation activity to address quality issues, identifying data enhancements or improvements, and defining master / golden sources
Broad understanding of client journeys in a service- and product-oriented organisation
Strong analytical skillset
Ability to inspire users to follow the data governance framework at the company; have a good rapport with the users, and possess business maturity
Experience in either creating or using a data catalogue
Benefit from:
Attractive remuneration package plus performance related reward
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
ГибридseniorПомогают с релокацией (Португалия); Conduct data studies to uncover insights Write ETL pipelines (data marts, alerts, and predictions) Ask "why" and "what problem are we solving" Requirements Experience in data analysis and in marketing analytics Understanding of marketing KPIs, attribution models, and the problems ad platforms solve Knowledge of mathematical statistics and experience applying it Ability to write complex SQL queries Data analysis skills in Python Ability to choose the right evaluation approach: analytics, research, or use of external data Ability to solve non-trivial problems under incomplete data Attention to detail and ability to see any task through to completion Good English verbal and written communication skills (B2+) Preferred Experience running A/B, geo, and other types of experiments Experience in econometrics Benefits Compensation package: base salary and performance-based bonuses Relocation support: full assistance for a smooth relocation for employees and their families to Lisbon, Portugal Office-first: flexible hours with the possibility to work remotely 52 days per year Care and wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team and growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional training, and English and Portuguese courses Community and engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork