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data pipeline engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. 
Key Responsibilities:<ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Data Engineer

<div>M&uuml;ller'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:<ul>
<li>Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources.</li>
<li>Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time.</li>
<li>Implement data quality checks and validation procedures to maintain data integrity.</li>
<li>Optimize data pipelines for performance and scalability, ensuring efficient data processing.</li>
<li>Monitor data flow and resolve any issues related to data processing or quality.</li>
<li>Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team.</li>
<li>Stay updated on best practices and advancements in data engineering, Talend, and related technologies.</li> 
</ul> 
 
Requirements 
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Proven experience as a Data Engineer, with a strong focus on Talend.</li>
<li>Expertise in ETL design and implementation using Talend data integration tools.</li>
<li>Solid understanding of database management systems, SQL, and data warehousing concepts.</li>
<li>Experience with data modeling and database design best practices.</li>
<li>Strong analytical and problem-solving skills, with attention to detail.</li>
<li>Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus.</li>
<li>Excellent communication skills for collaborating with cross-functional teams and stakeholders.</li>
<li>A self-starter with the ability to work independently as well as part of a team.</li>
<li>Knowledge of data governance and data security practices.</li> 
</ul> 
 
Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Data Engineer

<div>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li> 
</ul> 
 
Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul>Preferred Qualifications:<ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Big Data Engineer

MASTER-WORKS

<div>Master Works is hiring an experienced Data Engineer (5+ years) in Riyadh to design and optimize large-scale real-time and batch data pipelines within the Telecom domain.<ul><li>
Design, develop, and maintain real-time and batch data pipelines leveraging Kafka, Spark, and Hadoop components.</li><li>
Must have understanding of Teradata CLDM, should know how to create new Data Model or modify existing data model based on business requirement</li><li>
Collaborate with business analysts and data architects to translate business requirements into robust data models and ETL frameworks.</li><li>
Apply Relational and Dimensional modeling techniques to design databases and ensure data is organized effectively for both operational and analytical purposes.</li><li>
Write, debug, and optimize SQL and Stored Procedures to ensure efficient data processing.</li><li>
Work closely with BI, Data Science, and Campaign teams to ensure seamless data availability for analytics</li><li>
Work closely with Data Architects, Analysts, and Business Stakeholders to translate business requirements into database solutions.</li><li>
Ensure all database design and code is well-documented and follows best practices for performance and maintainability.</li><li>
Involves designing fact and dimension tables for reporting and analytics purposes, often in a star or snowflake schema.</li><li>
Develop and maintain technical documentation (data flow diagrams, source-to-target mappings, architecture documents).</li><li>
Ensure that the Data Dictionary is always up-to-date, capturing all changes to the database schema, including newly created or modified tables, columns, views,</li><li>
Perform data quality checks, validation, and ensure end-to-end data accuracy and lineage.</li><li>
Support and troubleshoot real-time streaming jobs and ensure high availability of data pipelines</li></ul> 
 
 
Requirements 
Have-Must<ul><li>
Strong expertise in real-time data integration using Kafka, Spark Streaming, or Dataflow.</li><li>
Hands-on experience with Hadoop ecosystem components (HDFS, Hive, Sqoop, Spark etc.).</li><li>
Strong Data Modeling concepts including FSLDM, CLDM, and Dimensional / Data Vault modeling.</li><li>
Deep understanding of Telecom domain (BSS/OSS, CDR, usage, revenue, and campaign data).</li><li>
Experience building and optimizing ETL pipelines and data ingestion frameworks for structured and unstructured data.</li><li>
Proficiency in SQL and distributed data processing using Hive, Spark SQL, or PySpark.</li><li>
Good understanding of data governance, data quality, and lineage frameworks.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and collaboration skills with cross-functional teams.</li><li>
Experience in working on data vartulization tools like (Tibco. Trino etc)</li></ul> 
Good-to-Have<ul><li>
Familiarity with Data Catalogs, Metadata Management, and NDMO data governance standards.</li><li>
Experience with Data Catalogue tools.</li><li>
Familiarity with CI/CD pipelines, Git.</li><li>
Knowledge of ETL orchestration tools like Airflow, NiFi</li></ul></div>

Data engineer

<div>Master-Works is looking for a talented Data Engineer - ETL to join our dynamic team. In this role, you will focus on designing, developing, and maintaining ETL processes that extract, transform, and load data from various sources into our data platforms. Your work will enable data accessibility for analytics and reporting, driving key business decisions.
Key Responsibilities:<ul>
<li>Design, develop, and implement robust ETL processes to ensure efficient data extraction, transformation, and loading.</li>
<li>Collaborate with data analysts and business stakeholders to gather data requirements and translate them into technical specifications.</li>
<li>Optimize ETL workflows for performance, scalability, and reliability.</li>
<li>Monitor ETL processes to proactively identify and resolve data quality issues.</li>
<li>Document ETL processes, data models, and architecture to ensure clear understanding and maintainability.</li>
<li>Stay updated on emerging data technologies and best practices to recommend improvements to existing systems.</li> 
</ul> 
 
Requirements 
<ul><li>
Experience with ETL tools such as Informatica, Talend, and SSIS
</li><li>Proficient in programming languages such as Python, Java, Scala, or other relevant languages
</li><li>Strong skills in SQL and programming
</li><li>Ability to optimize ETL performance
</li><li>Experience with data integration techniques and tools to design efficient and scalable data architectures
</li><li>6+ years of professional experience</li></ul></div>

Data Engineer - ETL

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 Supervise the delivery and operation of data engineering pipelines and platforms by coordinating implementation activities, enforcing data quality and compliance requirements, and ensuring reliable, secure, and timely data availability for analytics and AI use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Supervise the development, execution, and maintenance of data pipelines to ensure consistent ingestion, transformation, and delivery of data in line with approved technical designs and operational requirements.
 </li>
 <li>
 Control compliance with data protection, privacy, and governance requirements by ensuring PDPL-aligned data handling, access controls, logging, and documentation across data engineering activities.
 </li>
 <li>
 Review data pipeline performance, stability, and data integrity, coordinating corrective actions for failures, delays, or quality issues with engineering and platform teams.
 </li>
 <li>
 Optimize data processing workflows, scheduling logic, and storage configurations to improve performance, availability, and cost efficiency within approved cloud environments.
 </li>
 <li>
 Coordinate with data science, analytics, and business teams to translate data requirements into executable pipelines and curated datasets aligned with agreed specifications and service expectations.
 </li>
 <li>
 Plan and oversee implementation of data quality checks, validation rules, and monitoring mechanisms to ensure engineered datasets meet usability and consistency standards.
 </li>
 <li>
 Participate in deployment and operational support of cloud-based data platforms, orchestration tools, and automation frameworks in accordance with approved architectures.
 </li>
 <li>
 Review infrastructure-as-code scripts and deployment pipelines to ensure controlled releases, environment consistency, and minimal disruption to data services.
 </li>
 <li>
 Assist in incident response activities by supporting root-cause analysis, remediation planning, and documentation for data pipeline and platform issues.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Academic Qualifications:
 
 Bachelor&rsquo;s degree in computer science, Data Engineering, or Information Systems, or a related field.
 </li>
 <li>
 
 Years of Experience:
 
 6 years of relevant experience.
 </li>
 <li>
 
 Other Requirements:
 
 AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer is preferred.
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Assistant Manager – Data Engineering

Atos

<div>
 
 About Atos Group
 
 
 
 Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. &euro;10 billion, operating in 61 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
 
 
 The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Data &amp; AI Sales Manager &mdash; Dubai- UAE/ Riyadh -KSA
 
 
 
 Function Sales | Role Type Individual Contributor with Orchestration Leadership
 
 
 Role Mission
 
 
 Drive sustainable, compliant revenue growth in Middle East by acquiring and expanding strategic accounts through consultative selling of Data, AI/ML and Generative AI solutions. Orchestrate internal teams and partners to translate business outcomes into secure, governed and scalable programs that deliver measurable time-to-value.
 
 
 
 Role Summary (What You Will Own)
 
 
 
 <ul>
 <li>
 End-to-end commercial ownership of Data &amp; AI opportunities demand generation, qualification, deal shaping, pricing, contracting, closure and expansion.
 </li>
 <li>
 Quota attainment and predictable forecasting through disciplined pipeline management and value-based selling.
 </li>
 <li>
 C-level relationships (CIO/CDO/CISO/Line-of-Business heads) and stakeholder alignment across business, IT, security, procurement and finance.
 </li>
 <li>
 Partner motions with hyperscalers and key data/AI platforms to accelerate pipeline, funding and wins.
 </li>
 <li>
 Inclusion of data governance, privacy and security-by-design in every opportunity&mdash;especially for regulated sectors.
 
 
 
 </li>
 </ul>
 Scope, Stakeholders &amp; Ways of Working
 
 
 This role succeeds by combining commercial leadership with strong solution fluency and internal orchestration
 
 
 <ul>
 <li>
 Primary focus Abu Dhabi strategic accounts across Government/Public Sector, Energy, Financial Services, Aviation and large enterprises.
 </li>
 <li>
 Internal interfaces Account Executives, Presales/Solution Architects, Delivery/Program Leaders, Partner/Alliance Managers, Legal/Finance, Marketing, and Global Data &amp; AI leadership.
 </li>
 <li>
 Customer interfaces CXO-level sponsors, Data Office/CDO, Architecture, Security/CISO, Compliance/Privacy, Operations, Procurement, and Finance.
 </li>
 <li>
 Operating cadence weekly pipeline reviews; monthly forecast calls; QBRs with strategic accounts; joint partner account planning.
 
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 Territory &amp; Account Leadership
 
 
 <ul>
 <li>
 Build and execute territory plans , including target account lists, stakeholder maps, whitespace analysis and competitive strategy.
 </li>
 <li>
 Establish executive sponsorship and account governance; run outcome-focused workshops to uncover high-value use cases.
 </li>
 <li>
 Develop 3&ndash;5 sector plays (e.g., citizen services automation, fraud &amp; risk analytics, asset performance, predictive maintenance, GenAI copilots, operational intelligence).
 
 
 
 </li>
 </ul>
 Pipeline, Qualification &amp; Forecasting
 
 
 <ul>
 <li>
 Create and progress a healthy pipeline using MEDDICC (or equivalent); maintain CRM hygiene and accurate stage discipline.
 </li>
 <li>
 Drive deal inspection compelling event, economic buyer, technical win plan, security/compliance approach, and mutual close plan.
 </li>
 <li>
 Provide predictable forecasting with clearly defined committed, best-case and pipeline scenarios.
 
 
 
 </li>
 </ul>
 Deal Shaping &amp; Value Engineering
 
 
 <ul>
 <li>
 Lead multi-stakeholder deal strategy, orchestrating presales and delivery to create a differentiated, executable solution and roadmap.
 </li>
 <li>
 Develop business cases and value models (TCO/ROI), quantify outcomes and validate assumptions with customer finance and program owners.
 </li>
 <li>
 Own pricing strategy, proposal quality and negotiation; protect margin while meeting customer outcomes and delivery feasibility.
 
 
 
 </li>
 </ul>
 Partner &amp; Ecosystem Growth
 
 
 <ul>
 <li>
 Run partner-led and partner-assisted motions with hyperscalers (Azure/AWS/Google Cloud) and platform partners (e.g., Databricks/Snowflake).
 </li>
 <li>
 Leverage co-sell programs and funding mechanisms to accelerate PoCs, reference architectures and joint wins.
 </li>
 <li>
 Create repeatable assets pitch decks, value narratives, case studies, and proposal templates aligned to Abu Dhabi priorities.
 
 
 
 </li>
 </ul>
 Post-Sale Expansion (Land-and-Expand)
 
 
 <ul>
 <li>
 Ensure high-quality handover to delivery with clear scope, governance, success metrics and stakeholder alignment.
 </li>
 <li>
 Identify expansion roadmap within 90&ndash;180 days of delivery start (next use case, scale-out, managed services, platform adoption).
 </li>
 <li>
 Monitor customer satisfaction and executive alignment to sustain long-term account growth.
 
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 7&ndash;12+ years of enterprise technology sales experience with 3+ years selling Data/Analytics/AI/GenAI solutions or services.
 </li>
 <li>
 Proven track record of closing complex, multi-stakeholder transformation deals (multi-million AED / equivalent) and consistent quota attainment.
 </li>
 <li>
 Experience selling in UAE /KSA -regulated sectors (Government/Public Sector, BFSI, Energy, Aviation).
 </li>
 <li>
 Strong value selling and commercial skills business case creation, pricing, negotiation, contracting, and margin discipline.
 </li>
 <li>
 Comfortable working with solution architects and delivery leads to produce credible architectures, statements of work, and transformation roadmaps.
 </li>
 <li>
 Executive presence, strong written and verbal communication.
 </li>
 <li>
 Bilingual Arabic &amp; English Communication is a plus.
 
 
 
 </li>
 </ul>
 Core Competencies (How You Win)
 
 
 <ul>
 <li>
 Consultative selling discovery depth, outcome framing, and stakeholder alignment.
 </li>
 <li>
 Deal leadership clear win plans, mutual close plans, and disciplined qualification.
 </li>
 <li>
 Technical fluency ability to sell outcomes without overselling risk; credible in governance/security conversations.
 </li>
 <li>
 Partner orchestration co-sell, funding utilization, and joint account execution.
 </li>
 <li>
 Sales Operational excellence forecasting accuracy, CRM discipline, and repeatable sales motions.
 </li>
 <li>
 Integrity and customer trust responsible AI positioning and confidentiality.
 
 
 
 </li>
 </ul>
 KPIs &amp; Success Metrics
 
 
 Targets may be calibrated by segment and annual plan; the measures below define expected performance and operating discipline.
 
 
 
 KPI
 
 
 
 
 How Measured
 
 
 
 
 Target Guidance
 
 
 
 
 Quota Attainment (Bookings)
 
 
 
 Closed-won bookings vs target (quarterly/annual).
 
 
 &ge;100% annual; &ge;90% quarterly
 
 
 
 Pipeline Coverage
 
 
 
 Qualified pipeline for next 2 quarters / quota.
 
 
 &ge;3.0x (Q+1); &ge;2.0x (Q+2)
 
 
 
 Win Rate
 
 
 
 Closed-won / closed for qualified opportunities.
 
 
 &ge;30&ndash;40% for complex deals
 
 
 
 Forecast Accuracy
 
 
 
 Committed forecast vs actual bookings.
 
 
 &plusmn;10% monthly
 
 
 
 Deal Quality
 
 
 
 Margin, scope clarity, delivery feasibility; reduced rework.
 
 
 Meets margin guardrails; minimal scope churn
 
 
 
 Partner Impact
 
 
 
 Partner-sourced/influenced pipeline and bookings.
 
 
 &ge;20&ndash;30% influenced
 
 
 
 Governance/ Compliance
 
 
 
 Critical compliance issues attributable to deal/scope.
 
 
 Zero critical breaches
 
 
 
 Customer Satisfaction
 
 
 
 CSAT/NPS or executive feedback after delivery start.
 
 
 &ge;8/10 or company standard
 
 
 
 Choose your future. Choose Atos.
 
</div>

Data & AI Sales Manager

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