Data Modeller

Synechron; Kraków; On-site; PLN 120,000 - 190,000; Full time

Job summary

Synechron seeks a Data Modeller to design and maintain data models supporting an analytical data platform. You will collaborate with data modelers, architects, analysts and delivery teams to shape data products with strong data integrity and performance.

Applicants should bring deep data modelling expertise, experience with Data Vault 2.0, Star Schema and 3NF, plus data governance capabilities. The role emphasizes collaboration across data teams and evolving technology stacks.

Qualifications

• Deep understanding of data modelling for operational and analytical systems.
• Experience with Data Vault 2.0, Star Schema, and 3NF modelling.
• Experience in data profiling and directed data analysis on relational and semi-structured data.
• Strong communication skills to explain complex data concepts to stakeholders.
• Strong knowledge of data governance principles, data quality, and protection.

Responsibilities

• Design and develop conceptual, logical and physical data models.
• Collaborate with stakeholders to gather requirements and translate them into data models.
• Work with data analysts and source system experts to collect data details for modelling.
• Coordinate with data architects and engineers to ensure scalable, maintainable data structures.
• Participate in design discussions to align with data design standards and best practices.
• Stay updated on emerging data technologies and trends.
• Improve existing processes to boost quality and automation.

Skills

Data modelling

Data Vault 2.0

Star Schema

Data profiling

Data governance

Tools

Python

AWS

Azure

Hadoop

Spark

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description:

As a Data Modeller, you will be responsible for designing and maintaining data models that will support one of organization’s analytical data platform. You will collaborate with other data modelers, data architects, data and business analysts and the delivery team to the design for data products.

The design work should contain data model definitions, source to target mappings, mapping to the abstract reference data models, data integrity checks and data quality rules design.

Key responsibilities:

• Design and develop conceptual, logical and physical data models to support business requirements, operational and analytical needs.
• Collaborate with stakeholders and business analysts to gather requirements and translate them into data modelling solutions that meet business needs.
• Collaborate with Data Analysts and source system experts to gather all necessary information about data to be modelled.
• Work closely with data architects, data engineers to ensure that designed structure and underlying data transformation mappings allows development team to deliver data product of desired value and quality, ready for handful and performant consumption.
• Participate in design and architecture discussions to ensure alignment with data design standards and principles.
• Stay up to date with emerging data technologies, trends, and industry developments.
• Help to improve existing processes leading to better quality and higher automation.

Required Skills:

• 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.
• Data Modelling Techniques: Experience in the implementation of Data Modelling approaches: Data Vault 2.0, Star Schema (multidimensional modelling), 3NF.
• Data Manipulation Skills: You have experience in performing data profiling and directed data analysis on top of relational data and hierarchical files (JSON, XML). You are capable of guiding data analyst to do the same.
• 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.
• 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).
• Python hands-on
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of banking industry topics and banking models (BIAN, FSDM, FIBO, SWIFT, BDW etc.) or experience in designing enterprise data models