Data Modeller @ Mindbox S.A.
(práce v Polsku)

Data Modeller @ Mindbox S.A.

Polsko

• Leadership: You possess strong leadership skills, enabling you to support and inspire a team of Data Modellers. You can effectively communicate the strategic vision and guide the team towards achieving data modelling excellence.
• Data Modelling Expertise: You have a deep understanding of data modelling (for both operational and analytical systems), data analysis, metadata. You can elicit, document and verify requirements and translate them into scalable and efficient data models.
• Communication with Impact: Your communication skills are strong, allowing you to effectively convey complex data modelling concepts to both technical and non-technical stakeholders. You can influence and align stakeholders in getting the required signoffs.
• Consulting: You demonstrate strong consulting skills, leveraging your expertise to provide valuable insights and guidance to cross-functional teams. You can identify opportunities for improvement and drive data modelling excellence.
• Relationship/Stakeholder Management: You excel in managing relationships and stakeholders at various levels, establishing trust and collaboration to drive successful outcomes. You can effectively navigate and influence within a complex organisational structure.
• Problem Solving: Your problem-solving skills are expert level, enabling you to analyse complex data challenges and develop innovative solutions. You can guide the team in overcoming technical obstacles and making informed decisions.
• Data Governance: You have a strong understanding of data governance principles and can establish and enforce data governance frameworks, data quality standards, and data protection measures.

Good to have:

• Experience in cloud data solutions (e.g., AWS, Azure, Google Cloud).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of industry models (BIAN, FSDM, BDW etc.) or experience in designing enterprise data models

We are the team that provides the metrics and analytical products that drive change in DevOps practices across the bank. We provide the key measures that track performance and capabilities of our engineering teams across the world, and the critical insights and intelligence that leadership teams rely on to shape and deliver strategic change.

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

? Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

?Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

?Talent Network - we provide access to the best specialists.

☁ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

,[As a Data Modeller, you will be responsible for designing, implementing, and maintaining data models that will support organization’s data architecture and analytics initiatives. You will lead a team of Data modellers and collaborate with cross-functional teams to ensure data integrity, availability, and consistency, enabling informed decision-making across the organization. Your expertise will be instrumental in shaping and implementing data architecture strategies, ensuring data quality, integrity, security, and optimal performance., Lead the design and development of conceptual, logical and physical data models to support business requirements, operational and analytical needs., Collaborate with stakeholders to gather requirements and translate them into data modelling solutions that meet business needs., Establish and maintain data standards, best practices, and governance policies for data modelling., Mentor and train team members on data modelling techniques, best practises, tools, and methodologies., Work closely with data architects, data engineers, and analysts to create a cohesive data strategy., Participate in design and architecture discussions to ensure alignment with data modelling efforts., Stay up to date with emerging data technologies, trends, and industry developments. Evaluate and recommend new tools and methodologies to enhance data capabilities] Requirements: Data modeling, Data analysis, Metadata, Data Governance , Azure, GCP, AWS, Hadoop, Spark Tools: Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget.

Kategorie

data

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