Data Engineer (Dwh/big Data/data Ingestion)
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We are entrepreneurs in disruptive technology, at Devoteam, we deliver innovative technology consulting for business. Digital Transformakers, we are 7,000+ professionals across EMEA dedicated to ensuring our clients win their digital battle. We improve business performance making their companies truly digital. We advise our clients and build IT infrastructure for digital, making sure people are along for the ride.
Devoteam Middle East, we are the region's leading consulting firm delivering innovative Business & Technology Consulting & Solutions. Our 14 years of existence anchored in technologies that enables our clients business to flourish, accordingly our focus is to help our clients' win the digital battle, adapted to our clients’ business challenges, with a unique consideration to its impact on their systems and structures.
**Job Description**:
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
**Responsibilities**
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep data separated and secure across national boundaries through multiple data centers and regions.
- Identify ways to improve data reliability, efficiency, and quality
- Ensure data availability and accessibility by the right parties
- Guarantee data pipelines adhere to data governance practices
**Qualifications**:
- 1-3 years of experience in data warehousing and big data projects.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Experience in Informatica & Data Quality (Informatica Powercenter and Informatica Data quality Certifications is a plus)
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
- Fluent in English & Arabic
Analytics / Big Data Sales Executive
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Clariba SEIDOR, recognized as a leading SAP, Corporater, Snowflake, Qlik and Dataiku partner in EMEA, is an independent, expert consultancy that provides industry-focused solutions for enterprise performance management, business intelligence, machine learning, and organizational alignment.
Core Functions:
- Manage an assigned territory to build solid pipeline for sales of consultancy, training and licenses to meet personal sales quota;
- Work closely with other Sales Managers in Middle East of Clariba SEIDOR and the Account Executives of our Analytics Technology Partners (SAP, Snowflake, Qlik, Dataiku, etc.) on growth objectives in order to maximize revenue;
- Cover end to end sales cycle (pipeline management, qualification, presales, proposal preparation, negotiation and closure) as well as subsequent account management (periodic follow ups and escalations);
- Actively engage with Middle East management team to develop new solutions and go-to-market strategies in line with Clariba’s growth strategy.
Job Responsibilities:
- Work closely with our Analytics Technology Partners (SAP, Snowflake, Qlik, Dataiku, etc.) to identify target markets, go-to-market strategies, marketing campaigns and sales execution with partner account executives, sales specialists and inside sales teams;
- Generate Net New Names for Middle East region and manage customer renewals;
- Perform end-to-end sales activities on target accounts and negotiate sales price and discounts;
- Coordinate and select proper company resources to ensure efficient and stable sales results;
- Accurately forecast annual, quarterly and monthly revenue streams for assigned territory and work in close collaboration with Global Sales Director and Global Operations Director to provide input and guidance on resourcing needs for committed projects;
- Collaborate with Marketing to develop brand and demand generation campaigns for Clariba SEIDOR’s core markets and actively participate in their execution.
**Requirements**:
Required Skills and Experience:
- A technical background in Engineering or IT, or a business background with the ability to learn and explain technical concepts with ease;
- Proven experience in the implementation of analytics projects, preferably SAP Analytics (SAP BW, SAP HANA, SAP BusinessObjects, SAP Analytics Cloud,) or comparable enterprise BI/Analytics solutions (Cognos, MicroStrategy, Qlik, Tableau, Azure,)
- Experience in presales with creation of demos/POCs and customer presentations based on requirements;
- Experience developing proposals for services and license sales;
- Solid functional understanding of line of business processes (Finance, HR, Procurement, Marketing, etc.) as well as multiple industry specific processes
- Initial sales experience for an analytics consultancy are preferred, but not absolutely necessary
Required Competencies:
- Creativity and innovation;
- Excellent presentation and demonstration skills;
- Ability to communicate comfortably with C-level executives and IT Decision makers;
- Ability to handle objections with confidence and negotiate a positive outcome;
- Operate at a fluent level of written & verbal English (fluency in Arabic is nice to have)
- Ability to make decisions and take appropriate actions in order to achieve sales targets;
- Multi-tasking, coordinating multiple new opportunities and renewals throughout sales cycle;
- Self-learner, interest and ability to learn new technical concepts quickly.
Work Environment Requirements:
- Driver’s License;
- 100% available for regular travel within Middle East countries;
- Comfortable working in multicultural environment;
- Ability to multi-task with a variety of customers and projects.
Database Expert ( big data & data warehouse )
Posted 13 days ago
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4 weeks ago Be among the first 25 applicants
Data Warehouse Design and Implementation: They design, build, and maintain data warehouses and data lakes, optimizing them for analytical queries and reporting. This includes selecting appropriate architectures (e.g., Kimball, Inmon), ETL (Extract, Transform, Load) processes, and data modeling techniques.
Big Data Platform Management: They manage and administer big data platforms like Hadoop, Spark, and Hive, ensuring they are scalable, reliable, and secure. This involves cluster management, resource allocation, and performance tuning.
Data Integration: They integrate data from various sources (structured and unstructured, internal and external) into the data warehouse or data lake, ensuring data quality and consistency.
Performance Optimization: They optimize the performance of big data systems and data warehouses for complex analytical queries, using techniques like indexing, partitioning, and query optimization.
Data Governance and Security: They implement data governance policies and security measures to protect sensitive data within the data warehouse and big data environment. This includes access control, data masking, and compliance with regulations like GDPR.
Data Modeling for Analytics: They design data models optimized for analytical queries, enabling business users to easily access and analyze data.
Tool Selection and Evaluation: They evaluate and recommend appropriate big data and data warehousing tools and technologies, staying abreast of the latest advancements in the field.
Collaboration: They work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide support for data-driven initiatives.
Requirements
- A bachelor's degree in computer science, information technology, or a related field is typically required
- Min 8 years experience
- Expert in big Data
- Expert in data warehouse
- Seniority level Mid-Senior level
- Employment type Contract
- Job function Information Technology
- Industries IT Services and IT Consulting
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Sign in to set job alerts for “Database Specialist” roles.Riyadh, Riyadh, Saudi Arabia 21 hours ago
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#J-18808-LjbffrSolutions Architect, Public Cloud/Big Data & AI
Posted 25 days ago
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Direct message the job poster from Alibaba Cloud
Regional Recruiter, Alibaba Cloud Global Talent Acquisition TeamResponsibilities
- Market Insights & Competitive Strategy
- Analyze market trends, opportunities, and challenges to produce actionable insights reports.
- Conduct competitor research and develop differentiated strategies to enhance market positioning.
- Opportunity Identification & Customer Engagement
- Lead customer interactions, uncovering real needs and driving business opportunities.
- Build trust and influence customer's decision-making
- Solution Design & Implementation
- Craft tailored cloud solutions and strategies (e.g., product selection, POC, RFP) to secure contracts and grow market share.
- Scale solutions across industries, managing risks and ensuring successful project delivery.
- Knowledge Sharing & Team Empowerment
- Develop best practices, architecture templates, and case studies for specific domains.
- Train and mentor sales teams and partners, enhancing their technical expertise.
- Identify product improvements and defects, driving innovation and enhancing competitiveness.
- Collaborate on new product launches and major feature development.
Qualifications
- 5+ years in cloud sales or pre-sales roles.
- 2+ years in technical development (e.g., infrastructure, software, SRE).
- Proven experience in cloud architecture design and POC testing.
- Strong understanding of Alibaba Cloud’s core technologies, products, and competitive edge.
- Experience with Azure or AWS is a plus (Public Cloud Division).
- Excellent communication skills and ability to work cross-functionally.
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT System Custom Software Development
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#J-18808-LjbffrData Engineer
Posted 1 day ago
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Position Overview
Master Works is seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in data engineering best practices and big data technologies. This role involves designing, developing, and maintaining data pipelines, optimizing data processing performance, and collaborating with data scientists and analysts to ensure data quality and integrity.
Key Responsibilities
- Data Pipeline Development: Design, develop, and maintain data pipelines using industry-standard tools and technologies.
- ETL Processes: Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
- Performance Optimization: Optimize data processing performance and scalability to handle large volumes of data efficiently.
- Data Quality: Collaborate with data scientists and analysts to ensure data quality, integrity, and accuracy.
- Technical Expertise: Utilize proficiency in SQL and programming languages such as Python to develop data solutions and address technical
Qualifications
- Experience: +3 years of experience with big data technologies such as Hadoop, Spark, and Hive.
- Data Modelling: Knowledge of data modelling and data warehousing concepts.
- Programming Skills: Proficiency in SQL and Python programming.
- Data Integration: Familiarity with data integration tools and techniques.
Data Engineer
Posted 1 day ago
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Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
Key Responsibilities:- Data Integration and ETL Development: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, flat files) into a centralized data platform. Design and develop complex ETL processes to ensure data quality, consistency, and reliability. Optimize workflows for performance and scalability.
- Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs. Ensure data infrastructure's reliability, security, and availability through monitoring, troubleshooting, and disaster recovery planning.
- Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures. Develop and maintain metadata management systems for data lineage, provenance, and traceability. Implement data quality control and validation processes to maintain data integrity.
- 5-6 years of experience as a Data Engineer or in a related role within a data-driven organization.
- Proficiency in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services.
- Experience managing data infrastructure such as data lakes, data warehouses, and real-time streaming platforms (e.g., Elastic, Google BigQuery, Mongodb).
- Expertise in data modeling, data quality, and metadata management.
- Proficiency in programming languages like Python or Java, and SQL.
- Familiarity with cloud platforms (AWS, Google Cloud) and DevOps practices.
- Strong problem-solving skills and ability to collaborate across teams.
- Excellent communication and presentation skills to translate technical concepts to business stakeholders.
- Knowledge of data visualization and BI tools (e.g., Tableau, Qlik).
- Understanding of machine learning and AI applications in data initiatives.
- Project management experience and leadership in data projects.
If you are a seasoned Data Engineer passionate about building scalable and robust data solutions, we encourage you to apply for this exciting opportunity.
#J-18808-LjbffrData Engineer
Posted 2 days ago
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The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:
- Designing and implementing ETL processes to move and transform data from various sources.
- Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
- Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
- Ensuring data quality and integrity throughout the data lifecycle.
- Optimizing data storage and retrieval processes for performance and scalability.
- Documenting data flows, transformations, and any changes to data architecture.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in a Data Engineer or similar role.
- Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
- Proficient in programming languages such as Python, Java, or Scala.
- Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong attention to detail and ability to ensure data accuracy and consistency.
- Excellent communication skills and ability to work collaboratively with cross-functional teams.
This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.
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Data Engineer
Posted 3 days ago
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Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis.
Responsibilities:
- Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources
- Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time
- Implement data quality checks and validation procedures to maintain data integrity
- Optimize data pipelines for performance and scalability, ensuring efficient data processing
- Monitor data flow and resolve any issues related to data processing or quality
- Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team
- Stay updated on best practices and advancements in data engineering, Talend, and related technologies
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer, with a strong focus on Talend
- Expertise in ETL design and implementation using Talend data integration tools
- Solid understanding of database management systems, SQL, and data warehousing concepts
- Experience with data modeling and database design best practices
- Strong analytical and problem-solving skills, with attention to detail
- Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus
- Excellent communication skills for collaborating with cross-functional teams and stakeholders
- A self-starter with the ability to work independently as well as part of a team
- Knowledge of data governance and data security practices
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment. Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
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Riyadh, Riyadh, Saudi Arabia SAR12,000.00-SAR17,000.00 1 month ago
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#J-18808-LjbffrData Engineer
Posted 9 days ago
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Join to apply for the Data Engineer role at Accenture Middle East
Join to apply for the Data Engineer role at Accenture Middle East
Accenture Technology:
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at
Accenture Technology:
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at Overview:
As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components—from data pipelines to ETL flows—maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.
Key Responsibilities:
If this sounds like the ideal role, career and company for you, click to apply.
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTub
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Business Consulting and Services
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Sign in to set job alerts for “Data Engineer” roles. Quality Assurance (QA) Software Engineer - Remote Option AvailableWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Engineer
Posted 11 days ago
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3 weeks ago Be among the first 25 applicants
- Develop and maintain robust data architectures that support business needs and provide reliable data accessibility
- Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions
- Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity
- Optimize data storage and access strategies for improved performance and efficiency
- Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes
- Create comprehensive documentation for data workflows and system architecture
- Develop and maintain robust data architectures that support business needs and provide reliable data accessibility
- Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions
- Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity
- Optimize data storage and access strategies for improved performance and efficiency
- Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes
- Create comprehensive documentation for data workflows and system architecture
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in data engineering or related roles
- Proficiency in programming languages such as Python, Java, or Scala
- Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB
- Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark)
- Strong analytical skills and attention to detail
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
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Riyadh, Riyadh, Saudi Arabia 53 minutes ago
Quality Assurance (QA) Software Engineer - Remote Option Available Full Stack Mobile Application DevelopmentWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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