Qureos Mentor

Bbi UK is a design-led commercial interior fit-out company focused on creating optimal working environments for clients. They offer a range of services including commercial fit-out design, project management, and account management, ensuring quality and value for money in their solutions. Their expertise spans various sectors such as healthcare, education, and leisure, aiming to enhance workplace functionality and aesthetics.

<div>Job Overview:
We are seeking a highly experienced and motivated Consultant to join our Data Strategy and Consulting team. The ideal candidate will have a strong background in data strategy, data governance, and analytics, with the ability to drive data-driven decision-making processes within organizations. This role involves leading complex projects, working closely with clients to develop and implement data strategies, and ensuring data governance frameworks are effectively established and maintained. 
Key Responsibilities:<ul><li>Data Strategy Development:</li></ul>
o Lead the design and implementation of comprehensive data strategies that align with clients' business objectives.
o Conduct assessments of current data capabilities and provide actionable insights to enhance data-driven decision-making.
o Develop roadmaps for data management, analytics, and governance initiatives.<ul><li>Data Governance:</li></ul>
o Establish and implement data governance frameworks to ensure data quality, integrity, and security.
o Define and enforce data standards, policies, and procedures across the organization.
o Collaborate with cross-functional teams to ensure compliance with data regulations and industry standards.<ul><li>Client Consulting:</li></ul>
o Work closely with clients to understand their data challenges and provide tailored consulting solutions.
o Conduct workshops, training sessions, and presentations to educate clients on data governance best practices.
o Lead client engagements, manage stakeholder expectations, and deliver high-quality consulting services.<ul><li>Project Management:</li></ul>
o Manage multiple projects simultaneously, ensuring they are delivered on time, within scope, and within budget.
o Lead and coordinate with internal teams to ensure project deliverables.
o Monitor project progress, identify risks, and implement mitigation strategies as needed.<ul><li> 
Thought Leadership:</li></ul>
o Stay abreast of industry trends, emerging technologies, upcoming regional and global data regulations, and best practices in data management and governance.
o Lead and mentor team of consultants and analysts and effectively enable them to grow.
Qualifications:<ul><li>Education:</li></ul>
o Bachelor&rsquo;s degree in computer science, information systems, or any data related field.<ul><li>Experience:</li></ul>
o Minimum of 3 years of experience in data management, data governance, or related roles.
o Proven track record of successfully leading data strategy and governance projects for large organizations.
o Comprehensive knowledge of DAMA or NDMO.
o Experience in consulting and client management is highly desirable.<ul><li> 
Skills:</li></ul>
o Strong understanding of data governance principles, frameworks, and tools.
o Proficiency in data management and analytics platforms (e.g., SQL, Python, Tableau, Power BI).
o Excellent bilingual verbal/written communication skills (Arabic and English).
o Exceptional presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
Preferred Qualifications:<ul><li>Certifications in data governance (e.g., DAMA, CIMP).</li><li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.</li><li>Familiarity with regulatory requirements (e.g., GDPR, CCPA, KSA Personal Data Protection Law) and their impact on data governance.</li></ul></div>

Data Strategy Consultant

<div>Responsibilities:<ul><li>Develop and maintain conceptual, logical, and physical data models using data modeling tools.</li><li>Collaborate with stakeholders, business analysts, and Data Engineer teams to gather business requirements and define data modeling standards.</li><li>Design and implement data models that support business intelligence, data warehousing, and analytics initiatives.</li><li>Ensure data models adhere to data governance policies, data quality standards, and industry best practices.</li><li>Develop and maintain data model documentation, including data dictionaries, entity-relationship diagrams, and data flow diagrams.</li><li>Participate in data architecture discussions and contribute to the development of the enterprise data architecture.</li></ul>
&bull; Collaborate with database administrators to ensure physical database design aligns with data models. &bull; Stay up-to-date with industry trends, emerging technologies, and data modeling best practices.
Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems, or related field.</li><li>5-8 years of experience in data modeling, data architecture, or related field. Proficiency in data modeling.</li><li>Strong understanding of data modeling concepts, including entity-relationship modeling, dimensional modeling, and data normalization.</li><li>Experience using Erwin Data Modeler is a plus.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work in a team environment and collaborate with stakeholders.</li></ul></div>

Senior Data Modeler

<div><ul><li>Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets.</li><li>Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data.</li><li>Participates in evaluation and deployment of big data tools, relevant to the development.</li><li>Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization.</li><li>Optimize and tune data systems for performance and reliability.</li><li>Develop and implement data models and schemas to support business intelligence and analytics needs.</li><li>Monitor and troubleshoot data pipelines to ensure smooth and efficient operation.</li><li>Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure.</li><li>Document data engineering architectures and follow best practices.</li></ul><div>
Qualifications: 
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>5+ years of experience as a Data Engineer or similar role.</li><li>Strong programming skills in Python.</li><li>Experience with UNIX system administration using command line.</li><li>Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka, Proficiency in SQL and experience with relational databases.</li><li>Knowledge of data modeling, ETL processes, and data warehousing solutions.</li><li>Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
</li><li>Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO.</li><li>Experience in enhancing the performance of big data applications, including optimizing system operations.</li></ul></div></div>

Senior Data Engineer

<div><div>Responsibilities: 
<ul><li>Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration)</li><li>Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.</li><li>Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.</li><li>Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).</li><li>Optimize the Informatica workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.</li><li>Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.</li><li>Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access to processed data.</li><li>Implement partitioning, bucketing, and indexing strategies in Hive and HBase to improve query performance on large datasets.</li><li>Implement and enforce data quality rules within Informatica workflows, ensuring that all transformations meet the required standards for completeness, consistency, and accuracy.</li><li>Ensure compliance with data governance and security protocols (e.g., encryption, masking, access control) in accordance with industry best practices.</li><li>Automation and Scheduling: Automate ETL workflows using Informatica Server, integrating with Airflow, Nifi or other workflow orchestration tools for scheduling and monitoring jobs.</li><li>Utilize Cloudera Navigator for monitoring and auditing data processes within the Hadoop ecosystem.</li><li>Perform regular tuning of the ETL pipelines, data flows, and SQL queries to ensure optimal performance.
</li></ul></div><div>Qualifications: 
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>6+ years of experience in the same field.</li><li>Proven experience with the Cloudera Distribution of Hadoop (CDH), including expertise in HDFS, Hive, Impala, Spark, and HBase.</li><li>Strong hands-on experience with Informatica PowerCenter (ETL), EDC, IDQ, B2B, and Axon.</li><li>Deep understanding of ETL best practices, data pipelines, and distributed computing technologies such as Spark, MapReduce, PySpark, and Hadoop ecosystem components.</li><li>Advanced SQL skills for data manipulation, aggregation, optimization, and reporting across relational and non-relational data stores (e.g., SQL Server, MySQL, PostgreSQL, Hive, Impala).</li><li>Experience in Python and SQL.</li><li>Strong background in data warehousing principles and data modeling, including dimensional modeling (star schema, snowflake schema) and OLAP/OLTP considerations.</li></ul></div></div>

Senior Big Data Engineer

<div>Responsibilities:
Writing clean, high-quality, high-performance, maintainable code.
Designing, developing, and testing Odoo ERP modules and interfaces.
Customize backend and frontend different Odoo modules.
Maintaining existing modules &amp; customize Odoo addons.
Integrate Odoo with other web applications.
Maintain code version control branching strategies.
Configuration, installation, and maintenance of servers and multi-databases Odoo environments.
Identify and fix issues related to Odoo development.
Qualifications:
Bachelor's degree in engineering or computer science or any equivalent major. 2 - 3 years of work experience.
Expertise in PostgreSQL database. Strong expertise in Python, CSS, HTML, XML, JS and jQuery.
Good expertise with Linux OS for developing and maintaining purposes. Previous Work Experience in the same role.</div>

Odoo Developer

<div>Linux Systems Administration<ul><li>Install, configure, manage, and harden Linux systems (RHEL).</li><li>Monitor system performance, availability, and log data.</li><li>Perform patching, upgrades, and capacity planning.</li><li>Manage users, permissions, storage, and backups.</li><li>Troubleshoot OS-level issues and performance bottlenecks.</li><li>Enforce security policies and system hardening standards.</li><li>Administer Red Hat Identity Manager.</li><li>Administer Red Hat Satellite</li></ul>
Automation &amp; Configuration Management<ul><li>Develop and maintain Ansible playbooks and roles for system provisioning and configuration.</li><li>Automate repetitive tasks and manage configuration with Ansible</li></ul>
DevOps<ul><li>Deploy, maintain, and operate Kubernetes clusters.</li><li>Manage workloads, namespaces, networking, and storage.</li><li>Administer CI/CD pipelines and Tools</li></ul>
Qualifications:<ul><li>B.Sc. in Computer Science, Computer Engineering, or a related field.</li><li>2+ years of experience in Linux systems administration or DevOps roles.</li><li>RHCSA or RHCE certificate is a plus.</li><li>Hands-on experience managing production systems.</li><li>Ability to troubleshoot complex multi-layer issues.</li><li>Documentation and operational discipline.</li><li>Experience with RHEL-based environments.</li><li>Advanced Linux administration experience.</li><li>Strong Ansible automation skills.</li><li>Solid Kubernetes administration knowledge.</li><li>Bash and/or Python scripting skills.</li><li>Experience with Docker or Podman.</li><li>Familiarity with CI/CD tools and pipelines.</li><li>Experience with monitoring and logging tools.</li><li>Strong networking fundamentals (TCP/IP, Layer 2/3, etc..).</li><li>Experience with Git-based workflows.</li><li>Strong problem-solving ability.</li><li>Clear documentation and communication.</li><li>Ability to work under pressure.</li></ul>
Flexibility to work late hours and on weekends</div>

Linux Administrator

<div><ul><li>Excellent analytical, organizational, and problem-solving and skills.</li><li>Has excellent written and verbal communication skills, as well as presentation skills.</li><li>Able to communicate to multiple levels of the organization, including stakeholders and third-party vendors, via phone, email, and chat.</li><li>Ability to work independently and collaborate with others at all levels of technical understanding.</li><li>Able to handle multiple concurrent projects, with an ability to prioritize and manage projects effectively.</li><li>Self-motivated and dedicated with the ability to triage and prioritize technical issues, work with service providers and team members to problem resolution.</li><li>Ability to plan and carry out responsibilities with minimal direction.</li><li>Ability to mentor others, including peers and application developers, clearly explain complex technical issues to business analysts and end users.</li><li>Ability to quickly learn new systems and business processes and adapt to changing technology and priorities.</li><li>Experience in coordinating with data stewards and analysts to understand business requirements, functional requirements, and conversion of business rules into technical specifications.</li><li>Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines.</li><li>Experience in various programming languages like Java and Python, orchestration tools and processes or other directly related experience.</li><li>Hands on experience in database and table design, proficient in writing complex SQLs, expertise in performance tuning of SQLs.</li><li>Excellent knowledge of the Informatica platform as a whole and the integration among different Informatica components and services.</li><li>Good experience in end-to-end implementation of DW &amp; BI projects, especially in data warehouse and mart developments.</li><li>Experience in Relational Modeling, Dimensional Modeling, Modeling of Unstructured Data and business process relationships.</li><li>Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts.</li><li>Working knowledge in handling various web services and APIs (Soap, REST).</li><li>Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts.</li><li>Working knowledge in handling various web services and APIs (Soap, REST)</li><li>Working experience on Informatica Cloud Services (IDMC) development; Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Data Quality CDQ and CDGC</li><li>Experience in ETL design and development using Informatica PowerCenter, Data Quality, and Data Engineering using various transformations, and ETL design/development methodologies.</li><li>Experience developing profiles and scripts for the execution and testing of mappings and workflows to implement data stewardship and exception processing</li><li>Full lifecycle project experience as a developer in designing and developing ETL jobs.</li><li>Knowledge of UNIX/Linux shell scripting, scheduling and orchestration tools and processes.</li><li>Good understanding of XML/Json structures.</li><li>Experience working in Agile framework and project management methodologies.</li><li>Knowledge of data analysis in AWS environment (Athena, Redshift, S3, Sagemaker, EMR) is a plus.</li><li>Knowledge of Python libraries (Pandas, Numpy, Plotly, Pyspark, Sklearn) is a plus.</li><li>Knowledge of using Change Data Capture methodologies is a plus.</li><li>Knowledge of data analysis in Azure platform (Data Factory/Synapse/etc.) is a plus.</li><li>Experience working with Power BI in data analytics space is a plus.</li></ul><div> 
Special Requirements: 
<ul><li>Strong hands-on expertise in Hadoop ecosystem (HDFS, YARN, Hive, HBase, Oozie, Sqoop).
</li></ul></div><ul><li>Proficiency in Spark (PySpark/Scala), Kafka, and distributed data processing frameworks.
</li><li>Skilled in SQL, Python, Scala, and Java for data engineering use cases.</li></ul></div>

Data Management Senior Engineer I

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