Bromley Business Centre, 27 Hastings Road, Bromley, Kent BR2 8NA, UK

Data Modeler

Our client is looking for an experienced Data Modeler to join an exciting project in Romania. This role is 100% remote for Romanian citizens.
This role has the responsibility to design and document data models (conceptual, logical and physical) belonging to multiple subject areas across multiple countries, being an expert in Data Modelling and being able to clearly articulate best practice aroud data modelling to the business.

Summary of the Role & Responsibilities:

Main responsibilities:

· Analysing and translating business needs into long-term solution data models
· Evaluating existing data systems
· Working with the development team to create conceptual data models and data flows
· Developing best practices for data coding to ensure consistency within the system
· Evaluate existing data models and physical databases for variances and discrepancies
· Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives – delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc.
· Create entity-relationship diagrams for relational systems and dimensional diagrams for the existing and proposed Data Warehouse, Data Marts, and data cubes
· Define ownership, obtain approvals, and communicate data models to Technology teams
· Ensure consistent enterprise view and usage of data assets across the global functions and standards
· Provide architectural expertise in Data warehouse construction and engineering, data source identification, engineering, and migration on latest DB technologies – Snowflake
· Provide feedback to Business Intelligence project and management team to improve data acquisition (structured and unstructured), warehousing methodologies and tools

Requirements | Skills, Knowledge and Abilities:

Must have:
· Data Modeling concepts (Advanced Level)
· ErWin, Snowflake, DB/MS SQLServer
· Modeling experience across large volume based (Tb/Petabytes) environments
· Over-All understanding of Database space (Databases, Data Warehouses, Reporting, Analytics)
· Well versed with Data Modeling platforms like Erwin, ER STUDIO
· Strong skills in Entity Relationship Modeling (ERWin modeling software preferred)
· Good knowledge about Database Designing / Administration, Advanced Data Modeling for Star Schema design
· Good understanding of Normalized / Denormalized / Star / Snowflake design concepts
· SQL query development for investigation and analysis
· Demonstrable experience using data modeling tools – e.g., ErWin, SQLDBM

Nice to have:
· Open to learn new technologies in-line with organizational needs / direction
· Experience with Data Profiling Tools and BI tools like MicroStrategy
· Experience with the technologies in the Hadoop ecosystem like Hadoop, HDFS, Spark, and Hive
· Experience in working with modern cloud data platforms in AWS (preferred)
· Experience in Agile development processes
· Experience in Cross industry / Quick service restaurant / Retail

Other details:
· Ability to independently learn new technologies and data related approaches
· Effective writing and presentation skills
· Excellent problem-solving skills, should possess a consulting mindset
· Experience with managing meta data for data models
· Demonstrable experience in developing, publishing, and maintaining all documentation for data models
· Significant proven experience in applying rigorous data management principles and industry standard development approach to model complex and high-volume data assets to build, maintain conceptual, logical, and physical data models

Data Modeler

Our client is looking for an experienced Data Modeler to join an exciting project in Surrey.

Significant proven experience in applying rigorous data management principles and industry standard development approach to model complex and high-volume data assets to build, maintain conceptual, logical, and physical data models
Demonstrable experience using data modeling tools – e.g., ErWin , SQLDBM
Evaluate existing data models and physical databases for variances and discrepancies
Experience with managing meta data for data models
Demonstrable experience in developing, publishing, and maintaining all documentation for data models
Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives – delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc.
Create entity-relationship diagrams for relational systems and dimensional diagrams for the existing and proposed Data Warehouse, Data Marts, and data cubes
Define ownership, obtain approvals, and communicate data models to Technology teams. Ensure consistent enterprise view and usage of data assets across the global functions and standards
Provide architectural expertise in Data warehouse construction and engineering, data source identification, engineering, and migration on latest DB technologies – Snowflake
Provide feedback to Business Intelligence project and management team to improve data acquisition (structured and unstructured), warehousing methodologies and tools
Experience in Agile development processes
Ability to independently learn new technologies and data related approaches
Effective writing and presentation skills
Excellent problem solving skills, should possess a consulting mindset
Cross industry experience is preferred

Technical Skills

Data Modeling concepts (Advanced Level)
ErWin, Snowflake, DB/MS SQLServer
Modeling experience across large volume based (Tb/Petabytes) environments
Over-All understanding of Database space (Databases, Data Warehouses, Reporting, Analytics)
Open to learn new technologies in-line with organizational needs / direction
Experience with the technologies in the Hadoop ecosystem like Hadoop, HDFS, Spark, and Hive is a plus
Experience in working with modern cloud data platforms in AWS (preferred)
Well versed with Data Modeling platforms like Erwin, ER STUDIO etc.
Strong skills in Entity Relationship Modeling (ERWin modeling software preferred)
Good knowledge about Database Designing / Administration, Advanced Data Modeling for Star Schema design
Good understanding of Normalized / Denormalized / Star / Snowflake design concepts
SQL query development for investigation and analysis
Experience with Data Profiling Tools and BI tools like MicroStrategy will be plus

Data Modeler

Our client is looking for an experienced Data Modeler to join a project in Romania,

Qualifications:
· Significant proven experience in applying rigorous data management principles and industry standard development approach to model complex and high-volume data assets to build, maintain conceptual, logical, and physical data models
· Demonstrable experience using data modeling tools – e.g., ErWin
· Evaluate existing data models and physical databases for variances and discrepancies
· Experience with managing meta data for data models
· Experience with large-scale, Hadoop big data methods, such as Spark, Scala, NiFi,
· Demonstrable experience in developing, publishing, and maintaining all documentation for datamodels
· Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives – delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc.
· Create entity-relationship diagrams for relational systems and dimensional diagrams for the existing and proposed Data Warehouse, Data Marts, and data cubes
· Define ownership, obtain approvals, and communicate data models to Technology teams. Ensure consistent enterprise view and usage of data assets across the global functions and standards
· Provide architectural expertise in Data warehouse construction and engineering, data source identification, engineering, and migration on latest DB technologies – Snowflake, NoSQL
· Provide feedback to Business Intelligence project and management team to improve data acquisition (structured and unstructured), warehousing methodologies and tools
· Experience in Agile development processes
· Ability to independently learn new technologies and data related approaches
· Effective writing and presentation skills
Skills
· Data Modeling concepts (Advanced Level)
· ErWin, Snowflake, DB/MS SQLServer, NoSQL experience is must.
· Modeling experience across large volume based (Tb/Petabytes) environments
· Over-All understanding of Database space (Databases, Data Warehouses, Reporting, Analytics)
· Open to learn new technologies in-line with organizational needs / direction
· Experience with the technologies in the Hadoop ecosystem like Hadoop, HDFS, Spark, and Hive. Additional skillset of MapReduce and Pig is plus
· Well versed with Data Modeling platforms like Erwin, ER STUDIO etc.
· Strong skills in Entity Relationship Modeling (ERWin modeling software preferred)
· Good knowledge about Database Designing / Administration, Advanced Data Modeling for Star Schema design
· Good understanding of Normalized / Denormalized / Star / Snowflake design concepts
· SQL query development for investigation and analysis
· Experience with Data Profiling Tools and BI tools like MicroStrategy will be plus

Data Modeler

Our client is looking for an experienced Data Modeler to join an exciting project. This is a remote position with HQ in Romania.
Qualifications:
· Significant proven experience in applying rigorous data management principles and industry standard development approach to model complex and high-volume data assets to build, maintain conceptual, logical, and physical data models
· Demonstrable experience using data modeling tools – e.g., ErWin
· Evaluate existing data models and physical databases for variances and discrepancies
· Experience with managing meta data for data models
· Experience with large-scale, Hadoop big data methods, such as Spark, Scala, NiFi,
· Demonstrable experience in developing, publishing, and maintaining all documentation for datamodels
· Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives – delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc.
· Create entity-relationship diagrams for relational systems and dimensional diagrams for the existing and proposed Data Warehouse, Data Marts, and data cubes
· Define ownership, obtain approvals, and communicate data models to Technology teams. Ensure consistent enterprise view and usage of data assets across the global functions and standards
· Provide architectural expertise in Data warehouse construction and engineering, data source identification, engineering, and migration on latest DB technologies – Snowflake, NoSQL
· Provide feedback to Business Intelligence project and management team to improve data acquisition (structured and unstructured), warehousing methodologies and tools
· Experience in Agile development processes
· Ability to independently learn new technologies and data related approaches
· Effective writing and presentation skills
Skills
· Data Modeling concepts (Advanced Level)
· ErWin, Snowflake, DB/MS SQLServer, NoSQL experience is must.
· Modeling experience across large volume based (Tb/Petabytes) environments
· Over-All understanding of Database space (Databases, Data Warehouses, Reporting, Analytics)
· Open to learn new technologies in-line with organizational needs / direction
· Experience with the technologies in the Hadoop ecosystem like Hadoop, HDFS, Spark, and Hive. Additional skillset of MapReduce and Pig is plus
· Well versed with Data Modeling platforms like Erwin, ER STUDIO etc.
· Strong skills in Entity Relationship Modeling (ERWin modeling software preferred)
· Good knowledge about Database Designing / Administration, Advanced Data Modeling for Star Schema design
· Good understanding of Normalized / Denormalized / Star / Snowflake design concepts
· SQL query development for investigation and analysis
· Experience with Data Profiling Tools and BI tools like MicroStrategy will be plus

Data Modeler

Our client is looking for Data Modeler/Architect to join their team in London.

The Data professional will define, develop and maintain Data Models, Data Governance (Ownership and Quality) and Metadata representing data stores on the Sources and Data Lake and build the mappings into the Data Model of the new application. You will be part of the design and build team.

Minimum qualifications

· Numerate Degree to BSC level or above
· Strong communicator – English in spoken and written form

Preferred qualifications

· Any previous work experience in Banking/Financial Services domain with regard to data modelling and mapping and data management design and delivery roles
· Experience working with trade and transaction life cycles
· Experience working in regulatory reporting implementations

Must have the ability to:

· Design models of data processing that implement the intended business model
· Develop diagrams representing key data entities and their relationships
· Person must have experience working with Big data and big data / cloud technologies preferably GCP
· Understand a list of components needed to build the designed system
· Ability to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases,
· Predictive analytics, data visualization, and unstructured data

Day to day responsibilities

· Execute the Data mapping process based on an Agile way of working
· Map incoming data into the Local and Data Models
· Raise Data Quality issues, define rules and implement checks
· Based on the input of business representatives refine requirements and translate them into business data terms and conceptual data models.
· Deliver conformed agreed data principles and quality criteria: business terms, Conceptual Data Models, data requirements, Logical- and Physical Data Models, requirements mapping and documentation necessary
· Supporting, coaching and training of colleagues and client stakeholders
· Report on the process and communication to stakeholders.
· Maintaining and supporting the usage of the data models in the organization;
· Maintaining business terms and definitions, including data quality requirements and additional meta data;
· Set up and maintain design principles, standards and guidelines for Data Model components and way of working