HAYS

Stanowisko:

Data Modeller

Lokalizacja:

Kraków

małopolskie

Opis stanowiska podany przez pracodawcę:

Data Modeller
Kraków
NR REF.: 1188959

Your new company

You will join a global IT consulting company that specialises in transformational management and technology. After joining the organisation, you will be supporting their clients from the banking industry, and work on strategic solutions to address the challenges of financial data quality, accessibility, and control, ensuring access to reliable source data for finance consumption and the data generated by finance.

Your new role

We are looking for a Data Modeller with a passion for organising and transforming complex financial data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure to designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution.

The responsibilities in this role include:

Supporting the design and development of the product’s (finance data platform) conceptual, logical and application data models as per the bank39s Future State Architecture (Data Asset Strategy) and working across finance business teams to drive understanding, interpretation, design, and implementation.
Supporting Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues.
Developing data modelling schemas aligned with enterprise data models and supporting Financial Data Assets.
Contributing to program model development planning and scheduling.
Continuously improving a product’s data modelling estate adhering to risks, controls, security, and regulatory compliance standards.
Advising and supporting financial modelling data requirements that support new use case and data changes.
Serve as the product’s data modelling subject-matter expert.
Support finance adoption and implementation of data models to meet the bank39s strategic data needs.
Participating in data modelling and data architecture governance forums.
Coordinating and collaborating with cross-functional teams, change delivery teams, technology teams and subject-matter experts - stakeholders.
Creating and maintaining a range of data modelling documents including model requirements, data flow diagrams, data catalogues, data definitions, design specification, data models, traceability matrices, data quality rules and more.
Responsibility for translating the Finance business requirements into the data modelling solution and Finance Data Assets.
Conducting a continuous audit of data models and refine whenever required. This includes the reporting of any challenges or risks to senior management.
Ensure Finance data models align with Enterprise data models and adhere to Enterprise Architecture principles and standards.
Seek opportunities to simplify, automate, rationalise, and improve the efficiency of financial IT and modelling solutions.
Updating and maintaining the key product modelling artefacts, (i.e., Confluence, SharePoint, documents, reports, roadmap, and other domain artefacts).
Providing data modelling and technical advice as well as maintaining ongoing relationships.
Providing feedback in a timely manner to ensure that model development or modification meets the business needs.
Communicating product’s data modelling solutions to both technical and non-technical audiences, ensuring the communication style is appropriate for the intended audience.
Supporting cross-program, and cross-group Data Assets execution and delivery strategies, opportunities, and problem resolution.
Continuously reassessing and managing operational risks, considering legal, regulatory, and technological changes, while implementing the Operational Risk control framework in collaboration with relevant departments.
Ensuring compliance with all relevant rules, regulations, and procedures, maintaining internal control standards, addressing audit points and regulatory issues promptly, and managing operational risks associated with your role.

What you39ll need to succeed
Several years39 experience of data management and modelling solutions working as a Data Modeller within the Financial Services sector; preferably in a Treasury/Finance function and/or related front-office environment.
A proven track record working in a large and global banking environment
Experience in designing data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary.
Good understanding of managing 39data as a product (asset)’ principle across enterprise domains and technology landscapes.
Good understanding of architectural domains (business, data, application, and technology)
Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders.
Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets.
Experience of working with Agile and Scrum in a large scalable Agile environment
Knowledge of reference/master data management
Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc.
Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN.
Being results oriented with the ability to produce solutions that deliver organisational benefit.
Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery
Exposure to data governance initiatives such as lineage, masking, retention policy, and data quality
Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership of key deliverables.
Approach problems with an open mind and challenge to ensure appropriate pragmatic clean designs.
Exposure to ETL architectures and tools, including data virtualisation, and integration with APIs is desirable.

Nice to have:
Experience with data standards, data governance, data strategy and data lineage
Exposure to cloud solutions implemented in either GCP, AWS or Azure
Exposure to Big Data solutions

What you39ll get in return
Long-term B2B contract
Hybrid work in Kraków

As a contractor, you will be eligible for the following services (in full or in part) - at your own cost:
Medical care - Medicover
Health insurance
Multisport card

Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.