Data Technical Architect, Data Warehouse, Dunstable-Hybrid, £85k - £95k This is the chance for you to join our prestige client and be part of an exciting transformation. As a Data Technical Architect, you will be providing technical leadership to a data engineering team. You will also have the fantastic opportunity to play a major role in adhering to big data best practices whilst building and maintaining reliable data pipelines and products across a range of exciting projects. Essential Provide technical data solutions, design and development of logical and physical data models and databases for business solutions. Providing technical expertise and guidance to development teams around solution/system design and coding, ensuring standards are consistency upheld and quality practices are Embedded early within delivery teams. Lead the Data Engineering board by building and where necessary redefining patterns and standards for the data engineering teams. Develop robust data pipelines to serve analyst and data science community. Building a documentation library for all data pipelines and data catalogue. Extensive Data modelling experience from conceptual to logical models. Taking long term ownership of the data models and analytical products built on top of them. Experience within a combination of cloud based Big data technologies (eg HDFS, Blob Storage, Spark, Kafka, Delta, Hive, Airflow and DBT) and OLTP and Data Warehousing - within SQL server or other RDBMS's. (SQL server). Understanding of Lake House Architecture and Databricks. Building solution blueprints. Up to date knowledge of data and analytical technical domain. New technology awareness, evaluation and selection. Running or supporting vendor RFI and RFP process. Good understanding of software best practices, including design principles & patterns, security and performance. Methodical, logical and flexible in approach, you will have gained significant experience as a Technical Architect. Airline/retail experience. Knowledge of analysis and development techniques eg SCRUM, Agile & Waterfall. Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply. Interviews will take place next week, so please apply immediately to be considered for this exciting contract role or call Bangura Solutions to discuss this role further.
19/12/2024
Full time
Data Technical Architect, Data Warehouse, Dunstable-Hybrid, £85k - £95k This is the chance for you to join our prestige client and be part of an exciting transformation. As a Data Technical Architect, you will be providing technical leadership to a data engineering team. You will also have the fantastic opportunity to play a major role in adhering to big data best practices whilst building and maintaining reliable data pipelines and products across a range of exciting projects. Essential Provide technical data solutions, design and development of logical and physical data models and databases for business solutions. Providing technical expertise and guidance to development teams around solution/system design and coding, ensuring standards are consistency upheld and quality practices are Embedded early within delivery teams. Lead the Data Engineering board by building and where necessary redefining patterns and standards for the data engineering teams. Develop robust data pipelines to serve analyst and data science community. Building a documentation library for all data pipelines and data catalogue. Extensive Data modelling experience from conceptual to logical models. Taking long term ownership of the data models and analytical products built on top of them. Experience within a combination of cloud based Big data technologies (eg HDFS, Blob Storage, Spark, Kafka, Delta, Hive, Airflow and DBT) and OLTP and Data Warehousing - within SQL server or other RDBMS's. (SQL server). Understanding of Lake House Architecture and Databricks. Building solution blueprints. Up to date knowledge of data and analytical technical domain. New technology awareness, evaluation and selection. Running or supporting vendor RFI and RFP process. Good understanding of software best practices, including design principles & patterns, security and performance. Methodical, logical and flexible in approach, you will have gained significant experience as a Technical Architect. Airline/retail experience. Knowledge of analysis and development techniques eg SCRUM, Agile & Waterfall. Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply. Interviews will take place next week, so please apply immediately to be considered for this exciting contract role or call Bangura Solutions to discuss this role further.
50% on-site in Brussels, 50% remote working Must be based in Brussels . As a Data Engineer Expert, you will be integral to the Data Hub team, responsible for building a new Data Warehouse. The team operates in an agile environment, with analysts based in Brussels and developers in Paris, ensuring close collaboration with both business and technological platforms. Key Responsibilities Data Analysis & Modelling: Analyse data extracts from operational systems for the raw layer, propagate data to the conformed layer, and design data models for DataMart's. Requirement Definition: Define data models, data dictionaries, and data mappings for developers, and validate their developments. Quality Assurance: Ensure the quality of data through rigorous testing. Skills & Experience Minimum of 6 years in Data Warehouse development. Proficiency in Data Analysis, Data Modelling, and Data Mapping. Experience in building or expanding Data warehouses, Data Hubs, or Data Vaults. Business Acumen: Preferable experience in credit, loans, or banking sectors. Strong team player with excellent relationship-building abilities. Proactive, autonomous, and pragmatic approach. English: Fluent (mandatory) French: Fluent (advantageous) Dutch: Fluent (advantageous) Location: Brussels, with occasional travel to Paris or Rotterdam. Telework: 50% on-site and 50% homeworking. Teleworking from abroad is not permitted. Apply now or email (see below)
19/12/2024
Project-based
50% on-site in Brussels, 50% remote working Must be based in Brussels . As a Data Engineer Expert, you will be integral to the Data Hub team, responsible for building a new Data Warehouse. The team operates in an agile environment, with analysts based in Brussels and developers in Paris, ensuring close collaboration with both business and technological platforms. Key Responsibilities Data Analysis & Modelling: Analyse data extracts from operational systems for the raw layer, propagate data to the conformed layer, and design data models for DataMart's. Requirement Definition: Define data models, data dictionaries, and data mappings for developers, and validate their developments. Quality Assurance: Ensure the quality of data through rigorous testing. Skills & Experience Minimum of 6 years in Data Warehouse development. Proficiency in Data Analysis, Data Modelling, and Data Mapping. Experience in building or expanding Data warehouses, Data Hubs, or Data Vaults. Business Acumen: Preferable experience in credit, loans, or banking sectors. Strong team player with excellent relationship-building abilities. Proactive, autonomous, and pragmatic approach. English: Fluent (mandatory) French: Fluent (advantageous) Dutch: Fluent (advantageous) Location: Brussels, with occasional travel to Paris or Rotterdam. Telework: 50% on-site and 50% homeworking. Teleworking from abroad is not permitted. Apply now or email (see below)
*BI Data Architect - Freelance & Fully Remote contract.* One of our International Customers at RED is in the search of experienced BI Data Architect for a freelance contract in Europe. Role: Business Intelligence Data Architect Industry: Pharmaceuticals Start Date: January 2025 Duration: 12 Months (possibility of extension, after initial contract) Contract: Freelance (no permanent/no Visa/No sponsorship can be offered) Workload: Full Time (5 Days Per Week) Location: Remote (no travel required) Language: English (Written and Spoken) Rate: Euros Per Day (competitive budget) Qualifications Proven experience as a Data Architect- must have completed at least 2 projects In-depth understanding of data warehouse's structure principles and solutions Expertise in SQL and database management systems (eg, Oracle, SQL Server, PostgreSQL). Knowledge of data visualization tools (eg, Qlik, Power BI). Extensive experience in architecting and modelling BI and Analytics solutions. Proficiency in designing and implementing ETL processes and data integration workflows. Strong background in developing data models and data warehousing solutions to support BI and Analytics. Hands-on experience with Databricks for data engineering and SQL warehouse. - MUST If you are interested in discussing this opportunity further, then please apply/email me your updated CV see below) ) *Only suitable candidates will be contacted as priority.*
17/12/2024
Project-based
*BI Data Architect - Freelance & Fully Remote contract.* One of our International Customers at RED is in the search of experienced BI Data Architect for a freelance contract in Europe. Role: Business Intelligence Data Architect Industry: Pharmaceuticals Start Date: January 2025 Duration: 12 Months (possibility of extension, after initial contract) Contract: Freelance (no permanent/no Visa/No sponsorship can be offered) Workload: Full Time (5 Days Per Week) Location: Remote (no travel required) Language: English (Written and Spoken) Rate: Euros Per Day (competitive budget) Qualifications Proven experience as a Data Architect- must have completed at least 2 projects In-depth understanding of data warehouse's structure principles and solutions Expertise in SQL and database management systems (eg, Oracle, SQL Server, PostgreSQL). Knowledge of data visualization tools (eg, Qlik, Power BI). Extensive experience in architecting and modelling BI and Analytics solutions. Proficiency in designing and implementing ETL processes and data integration workflows. Strong background in developing data models and data warehousing solutions to support BI and Analytics. Hands-on experience with Databricks for data engineering and SQL warehouse. - MUST If you are interested in discussing this opportunity further, then please apply/email me your updated CV see below) ) *Only suitable candidates will be contacted as priority.*
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
16/12/2024
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
