civil engineer

planning engineer

electrical engineer

business analyst

construction manager

database engineer

Talogy Middle East & Africa

<div>
 
 
 About Talogy
 
 
 
 At Talogy, our mission is to help people meet their potential. That is our core purpose, enabling our vision to empower people in their careers and drive organizational success. We achieve this by being the one workforce solutions provider that fuses science, technology and expertise to deliver best-in-class testing, assessment and development products and services.
 
 
 Talogy&rsquo;s culture is as strong as the people who embody our core values. These include our drive to work together as one team, to be dependable in our pursuit of rigor and excellence, to value people and respect everyone&rsquo;s talents, to embrace diversity in perspectives and culture, and to think creatively with the willingness to experiment.
 
 
 Learn more about what we do at: www.talogy.com
 
 
 
 
 
 
 Why This Role is Important to Talogy
 
 
 
 Access to data and information is important to enable timely and informed business decisions to be made or to meet contractual or compliance requirements. Developer as part of data platform engineering team ensure that data is available, secure and comply with Talogy policies all the time across the globe.
 
 
 
 
 
 
 Who We Are Looking For
 
 
 
 This opportunity is ideal for a determined and proactive individual who is willing to develop their skills in a variety of technical disciplines. This role requires an analytical thinker who pays significant attention to detail in their work.
 
 
 The Data Engineer will spend most of their time working in the space of managing databases and database servers ensuring database health, availability, security and backups etc as well as developing and supporting SSIS packages, ADF pipelines, SSRS and Power BI reports/dashboards,
 
 
 We are looking for an experienced Data Engineer who has multi-vendor management databases administration and design experience as well as extensive experience with Azure cloud databases. We have MS SQL servers, Azure SQL databases, Azure Cosmos databases, multiple SSIS packages, ADF/Fabric pipelines, Power BI dashboards, multiple ETL packages with diverse data sources and are looking for someone with experience in most of the above (if not all).
 
 <ul>
 <li>
 Degree in a computer science or related field or equivalent experience.
 </li>
 <li>
 High degree of intellectual curiosity; constantly think about how we can improve our process and produce excellent high-quality solutions for our customers.
 </li>
 </ul>
 
 
 
 
 
 Core Responsibilities
 
 
 
 The Data Engineer is primarily responsible for:
 
 <ul>
 <li>
 Understanding business needs and designing and building solutions that meet those needs. Capable of designing and defending a solution.
 </li>
 <li>
 Managing and maintaining SQL Servers, Azure SQL databases, Azure Cosmos Databases
 </li>
 <li>
 Developing, Managing and maintaining SSIS packages, ADF/Fabric pipelines.
 </li>
 <li>
 BAU support for all SQL and NoSQL servers/databases including patching.
 </li>
 <li>
 Work closely with development, infrastructure, DevOps and client solutions and endeavour to provide best services.
 </li>
 <li>
 Support in building resilient, reliable, secure and cost-effective solutions.
 </li>
 <li>
 Staying ahead of issues with proactive monitoring and alerting.
 </li>
 <li>
 Implementing best practices.
 </li>
 </ul>
 
 
 
 
 
 Role Requirements
 
 
 <ul>
 <li>
 Strong experience as MS SQL, Azure SQL and Cosmos DBs database administrator.
 </li>
 <li>
 End-to-end knowledge from databases architecture to implementation, deployment and administration.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSIS packages involving scripting tasks.
 </li>
 <li>
 Experience in Azure cloud data technologies including Azure SQL database, Azure SQL managed instance and Azure Cosmos DB.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting ADF/Fabric pipelines.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSRS reports/dashboards.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting Power BI dashboards and reports.
 </li>
 <li>
 In depth experience and knowledge of Power BI architecture, components and troubleshooting.
 </li>
 <li>
 Strong experience and knowledge of Python.
 </li>
 <li>
 Experience of using GitHub or similar repositories collaboration and version controls.
 </li>
 <li>
 Maintain technical documentation and source control related to project design and implementation.
 </li>
 <li>
 Monitor performance of database systems resources and query throughput.
 </li>
 <li>
 Optimize Code/scripts as necessary, monitor and maintain databases at database and OS level.
 </li>
 <li>
 Monitor and maintain databases to have up to date backups as per company SLAs.
 </li>
 <li>
 Nice to have knowledge of DevOps repositories, CI/CD pipelines.
 </li>
 <li>
 Expert in writing TSQL queries, functions, stored procedures, views etc.
 </li>
 <li>
 Experience with Azure AI Foundry will be beneficial.
 </li>
 <li>
 Some knowledge of .Net/C# required.
 </li>
 <li>
 Azure/SQL/NoSQL or other database certification desirable.
 </li>
 <li>
 Participation in On-Call rotations or Shift work as required by specific role or assignment.
 </li>
 <li>
 Excellent communication skills, both verbal and written.
 </li>
 <li>
 Comfortable working with staff at all levels.
 </li>
 <li>
 Ability to self-organise, prioritise and track tasks.
 </li>
 <li>
 Can work on their own or as part of a team.
 </li>
 </ul>
</div>

Data Engineer

GSSTech Group

<div>We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives. 
Requirements 
 
Key Responsibilities<ul><li>
Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.</li><li>
Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.</li><li>
Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.</li><li>
Design, develop, and maintain scalable, secure, and high-performance data pipelines.</li><li>
Acquire, ingest, process, and transform large-scale structured and unstructured datasets.</li><li>
Implement data engineering best practices for building reliable and production-ready data platforms.</li><li>
Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.</li><li>
Design and develop modular data pipelines to generate reusable features and modeling datasets.</li><li>
Build and optimize data architectures supporting advanced analytics and machine learning workloads.</li><li>
Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.</li><li>
Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.</li><li>
Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.</li><li>
Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.</li></ul>
Required Technical SkillsCore Data Engineering<ul><li>
Strong experience in Data Engineering and Big Data solutions.</li><li>
Expert-level proficiency in PySpark.</li><li>
Strong programming experience in Python.</li><li>
Experience building large-scale distributed data processing pipelines.</li></ul>
Data Processing &amp; ETL<ul><li>
Data Ingestion</li><li>
Data Transformation</li><li>
Data Wrangling</li><li>
Data Preparation</li><li>
Data Modeling</li><li>
Feature Engineering</li><li>
ETL/ELT Development</li><li>
Batch Processing</li><li>
Data Pipeline Development</li></ul>
Big Data Technologies<ul><li>
Apache Spark / PySpark</li><li>
Distributed Data Processing Frameworks</li><li>
Big Data Ecosystems</li></ul>
Database Technologies<ul><li>
Strong SQL expertise</li><li>
Experience with Relational Databases</li><li>
Experience with NoSQL Databases</li><li>
Data Warehousing Concepts</li></ul>
Cloud &amp; Analytics Platforms (Preferred)<ul><li>
Azure Data Platform</li><li>
AWS Data Services</li><li>
Google Cloud Data Services</li><li>
Databricks</li><li>
Hadoop Ecosystem</li></ul>
Machine Learning Data Support<ul><li>
Feature Engineering for ML Models</li><li>
Data Preparation for Analytics and AI Use Cases</li><li>
Building Modeling and Feature Tables</li><li>
Supporting Data Science Workloads</li></ul>
Engineering Best Practices<ul><li>
Software Engineering Principles</li><li>
Data Pipeline Optimization</li><li>
Data Quality Management</li><li>
Performance Tuning</li><li>
Scalability &amp; Security</li><li>
Version Control (Git)</li><li>
CI/CD Concepts</li><li>
Documentation Standards</li></ul>
Required Soft Skills<ul><li>
Strong stakeholder management and communication skills.</li><li>
Experience working with Business Analysts, Data Scientists, and Product Teams.</li><li>
Ability to translate business requirements into scalable data solutions.</li><li>
Strong analytical and problem-solving skills.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Ability to work independently and within cross-functional teams.</li></ul>
Preferred Qualifications<ul><li>
Experience working in enterprise-scale data platforms.</li><li>
Experience supporting machine learning and advanced analytics initiatives.</li><li>
Exposure to cloud-native data engineering solutions.</li><li>
Experience designing modern data architectures and data lake environments.</li></ul></div>

Senior Data Engineer

DICETEK LLC

<div>The Business Analyst &mdash; Power BI, Power Automate &amp; Data is a pivotal programme resource for Project, responsible for bridging the gap between raw legacy data and actionable business intelligence during. This role combines deep data extraction and modelling capability with hands-on Power BI dashboard development and Power Automate workflow automation, enabling to maintain business visibility, improve process efficiency, and support data-driven decision-making throughout the critical transition period from legacy systems to Oracle Fusion Cloud.
The role operates across all functional domains &mdash; Finance, Projects, and HR &mdash; working closely with the Data Analysts to develop consolidated data models that span Sage Evolution, Deltek Vantagepoint, Smart HR and other sources like Excel. This is a unique, high-impact position that serves both the programme and the business simultaneously. 
Essential Requirements<ul><li>Minimum 4 years' experience as a Business Analyst or BI Developer</li><li>Expert-level Power BI: data modelling, DAX, Power Query (M), RLS, workspaces, gateway management</li><li>Hands-on Power Automate: cloud flows, approval workflows, scheduled triggers, Microsoft 365 connectors</li><li>Proficiency in SQL for data extraction, transformation, and validation across relational databases</li><li>Experience extracting data from ERP or finance systems (Sage, SAP, Oracle, Dynamics, or similar)</li><li>Advanced Microsoft Excel: Power Query, pivot tables, dynamic arrays, data modelling</li><li>Experience with data from project management or PSA systems (Deltek, Project Online, or similar)</li><li>Strong data modelling skills: star schema, fact/dimension tables, relationship management</li><li>Ability to conduct requirements workshops and translate business needs into technical BI solutions</li><li>Bachelor's degree in Business, Information Systems, Computer Science, or related field</li></ul> 
Desirable / Advantageous<ul><li>Microsoft PL-300 (Power BI Data Analyst) certification</li><li>Microsoft Power Platform (PL-200) certification</li><li>Experience with Oracle Fusion OTBI, Oracle Analytics Cloud, or BIP (BI Publisher)</li><li>Familiarity with Sage Evolution reporting or database schema</li><li>Experience with Deltek Vantagepoint reporting APIs or database</li><li>Knowledge of Oracle Fusion Cloud data structures for GL, AP, AR, PPM, and HCM</li><li>Experience in ERP implementation or system migration programmes</li><li>Python for data extraction, transformation, or automation scripting</li><li>Familiarity with Azure Data Factory, Dataverse, or SharePoint as data sources in Power Platform</li><li>GCC / UAE industry experience (Construction, leisure, real estate, or professional services)</li></ul></div>

SQL and Power BI Data Engineer

Heidelberg Materials Trading

<div>
 
 Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 
 
 
 
 
 Data Engineer
 
 
 
 
 
 
 
 About the Role:
 
 
 
 This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
 </li>
 <li>
 Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
 </li>
 <li>
 Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
 </li>
 <li>
 Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
 </li>
 <li>
 Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
 </li>
 <li>
 Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
 </li>
 <li>
 Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
 </li>
 <li>
 Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
 </li>
 <li>
 Contribute to data governance, security standards, and consistent documentation practices.
 </li>
 <li>
 Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
 </li>
 <li>
 Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
 </li>
 <li>
 Strong SQL skills with experience working on relational databases and transformation logic.
 </li>
 <li>
 Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
 </li>
 <li>
 Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
 </li>
 <li>
 Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
 </li>
 <li>
 Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
 </li>
 <li>
 Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
 </li>
 <li>
 Strong communication skills with the ability to translate technical detail into clear business language.
 </li>
 <li>
 Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
 </li>
 <li>
 Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
 </li>
 <li>
 Experience in trading, logistics, or supply chain environments is beneficial.
 </li>
 <li>
 Familiarity with Azure‑based cloud data architectures is preferred.
 </li>
 </ul>
 
 
 
 
 
 
 We thank all applicants for their interest, but only shortlisted candidates will be contacted.
 
 
 
 
 All applications will be kept strictly confidential.
 
 
</div>

<div>We are looking for a highly skilled Data Engineer with strong expertise in PySpark and Informatica Platform Engineering to support enterprise-scale Digital Products and Digital Onboarding initiatives.
The ideal candidate should have strong experience in enterprise data engineering, big data ecosystems, data architecture, and modern data management practices within large and complex environments, preferably in banking or financial services. 
Requirements 
 
Key Responsibilities<ul><li>
Design and develop scalable enterprise data engineering solutions using PySpark and Informatica platforms</li><li>
Build and model Raw Data Vault structures with strong understanding of:</li><li><ul><li>
Source system data structures</li><li>
Data retention policies</li><li>
Data partitioning strategies</li></ul></li><li>
Drive data reusability and reduce data duplication while optimizing performance</li><li>
Define and implement enterprise data architecture standards and best practices</li><li>
Create data exchange standards to support reusable and decoupled architectures</li><li>
Define standards for data archival, retention, and purging</li><li>
Identify and document critical data elements across enterprise source systems</li><li>
Collaborate with data engineers, architects, and source system SMEs to establish data engineering principles and governance standards</li><li>
Support large-scale data transformation and analytics initiatives</li><li>
Contribute to CI/CD-enabled data engineering and deployment environments</li><li>
Ensure compliance with enterprise data quality, governance, and security standards</li></ul>
Required Skills &amp; Experience<ul><li>
Strong hands-on experience in:</li><li><ul><li>
PySpark</li><li>
Informatica Platform Engineering</li><li>
Enterprise Data Engineering</li><li>
Big Data Ecosystems</li></ul></li><li>
Strong expertise in:</li><li><ul><li>
Data Architecture</li><li>
Data Strategy &amp; Roadmaps</li><li>
Enterprise Data Management</li><li>
Data Warehousing &amp; Analytics Solutions</li></ul></li><li>
Strong understanding of:</li><li><ul><li>
Dimensional Modeling</li><li>
Star &amp; Snowflake Schemas</li><li>
Slowly Changing Dimensions (SCD)</li><li>
Role-playing Dimensions</li><li>
Dimensional Hierarchies</li><li>
Data Classification</li></ul></li><li>
Experience transforming traditional Data Warehouse environments into Big Data-based architectures</li><li>
Expertise in:</li><li><ul><li>
Data Quality</li><li>
Data Profiling</li><li>
Data Governance</li><li>
Data Security</li><li>
Metadata Management</li><li>
Data Archival</li></ul></li><li>
Experience with cloud-native principles, architectures, and deployments</li><li>
Strong exposure to Continuous Integration (CI) and Continuous Deployment (CD) environments</li><li>
Strong analytical, troubleshooting, and problem-solving capabilities</li></ul>
Preferred Experience<ul><li>
Banking or financial services domain experience is highly preferred</li><li>
Experience working within enterprise-scale digital transformation programs</li><li>
Exposure to modern analytics and enterprise data platforms</li></ul>
Education
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Information Technology, Engineering, or related field
Preferred Candidate Profile<ul><li>
Ability to work in fast-paced and evolving environments</li><li>
Strong stakeholder collaboration and communication skills</li><li>
Experience handling multiple priorities and enterprise-scale projects</li><li>
Strong ownership mindset and attention to detail</li></ul></div>

Data Engineer - PySpark & Informatica

Dubai Holding

<div>
 
 Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai&rsquo;s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai&rsquo;s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
 
 
 
 
 
 Dubai Holding is committed to the diversification of Dubai&rsquo;s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure &amp; entertainment, ICT, design, education, media, retail, manufacturing &amp; logistics, and science.
 
 
 
 
 
 
 For the Good of Tomorrow
 
 
 
 Dubai Holding is looking to hire a
 
 Data Engineer
 
 . The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs. This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
 
 
 
 
 
 If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 Data Infrastructure &amp; Pipeline Development
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, lakes, and warehouses.
 </li>
 <li>
 Develop ETL jobs and stored procedures/functions/packages.
 </li>
 <li>
 Ensure robust data storage and high-quality data delivery.
 </li>
 </ul>
 
 
 Technical Guidance &amp; Integration
 
 
 <ul>
 <li>
 Own and implement ETL operating standards.
 </li>
 <li>
 Provide guidance on infrastructure for analytics and AI use cases.
 </li>
 <li>
 Collaborate with backend developers and IT architecture teams for seamless integration.
 </li>
 </ul>
 
 
 Product &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Work with Product Owners to understand and meet data needs.
 </li>
 <li>
 Translate product requirements into engineering plans and roadmaps.
 </li>
 <li>
 Gather stakeholder requirements and build architectures aligned with business goals.
 </li>
 </ul>
 
 
 Quality &amp; Process Excellence
 
 
 <ul>
 <li>
 Promote a culture of process and data quality.
 </li>
 <li>
 Implement best practices for data management and quality assurance.
 </li>
 <li>
 Support bug fixing and performance optimization.
 </li>
 </ul>
 
 
 Agile Delivery &amp; Team Collaboration
 
 
 <ul>
 <li>
 Advocate for agile methodologies and iterative development
 </li>
 <li>
 Collaborate cross-functionally to deliver project outcomes.
 </li>
 </ul>
 
 
 
 
 
 Who we are looking for:
 
 
 <ul>
 <li>
 At least 3-6 years of experience in Data Engineering roles
 </li>
 <li>
 Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
 </li>
 <li>
 Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
 </li>
 <li>
 Experience in implementing AI solutions including OCR, Large Language Models, etc.
 </li>
 <li>
 Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
 </li>
 <li>
 Proficiency in Python, SQL, PL/SQL, Spark and similar languages
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Experience working in a tech/ product environment is a plus
 </li>
 </ul>
 
 
 
 
 
 Behavioural Competencies
 
 
 <ul>
 <li>
 High-energy, ownership-driven mindset
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Comfortable navigating ambiguity and driving clarity
 </li>
 <li>
 Experience in agile/start-up environments preferred
 </li>
 <li>
 Successful track record of leading complex projects is a plus
 </li>
 </ul>
 
 
 
 
 
 As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
 
 
 
 
 
 
 
 This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
 
 
</div>

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Senior Data Engineer to design, develop, and maintain the data infrastructure that supports the organization's AI, machine learning, and analytics initiatives. Working closely with data scientists, ML engineers, and business stakeholders, the Senior Data Engineer will be responsible for building scalable, reliable data pipelines and ensuring data is accessible, consistent, and production-ready across the organization.
Key Responsibilities<ul><li>
Design, construct, install, test, and maintain highly scalable data pipelines with a focus on machine learning models and analytics</li><li>
Work closely with data scientists, ML engineers, and stakeholders to ensure data is accessible, consistent, and reliable for ongoing projects</li><li>
Develop and maintain APIs for data access and manipulation, and integrate with external data services as needed</li><li>
Manage and optimize data storage solutions for both structured and unstructured data, including relational databases, NoSQL databases, search engines such as Elasticsearch, and object storage, covering text, image, audio, and video data to support machine learning model requirements</li><li>
Implement data quality monitoring processes to ensure production data is always accurate and available to key stakeholders</li><li>
Collaborate with ML engineers on data-related technical issues and provide architectural guidance and solutions</li><li>
Support metadata management and data governance using cataloging tools such as OpenMetadata</li><li>
Ensure compliance with data security and privacy policies across all data systems</li><li>
Maintain clear and up-to-date documentation including data dictionaries, metadata, and architectural diagrams</li><li>
Contribute to real-time and streaming data processing requirements where applicable</li></ul>
Requirements<ul><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience</li><li>
8 or more years of experience in a data engineering role</li><li>
Proficiency in Python, Java, and Scala, with experience managing large-scale data at terabyte to petabyte scale</li><li>
Hands-on experience with big data technologies including Hadoop, Spark, and Flink</li><li>
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar</li><li>
Strong understanding of data warehousing, ETL processes, and data modeling concepts</li><li>
Experience with cloud platforms, with AWS as the primary platform including S3, Redshift, Glue, and Lambda; Azure, GCP, and VMware experience is beneficial</li><li>
Experience with API development using RESTful or GraphQL approaches</li><li>
Knowledge of DevOps practices, CI/CD, and containerization using Docker or Kubernetes</li><li>
Familiarity with BI tools such as Metabase and data catalog tooling such as OpenMetadata</li><li>
Experience with streaming platforms such as Kafka or RabbitMQ</li><li>
Fintech sector experience is an advantage</li></ul>
Technical Skills<ul><li>
Languages: Python, Java, Scala, SQL, Bash</li><li>
Big Data: Hadoop, Spark, Flink</li><li>
Unstructured Data: Text, Image, Audio and Video</li><li>
Databases: MySQL, PostgreSQL, MongoDB, Cassandra, HBase, Redis</li><li>
Cloud: AWS (S3, Redshift, Glue, Lambda) as primary; Azure, GCP, VMware</li><li>
APIs: RESTful, GraphQL, OpenAPI</li><li>
Data Services: Kafka, RabbitMQ</li><li>
Containers: Docker, Kubernetes</li><li>
BI and Cataloging: Metabase, OpenMetadata</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

Explore 583+ Database engineer in Dubai this June. Find roles across top companies and apply now to boost your career.

583 database engineer jobs In Dubai

Data Engineer

Senior Data Engineer

SQL and Power BI Data Engineer

Data Engineer

Data Engineer - PySpark & Informatica

Data Engineer

Senior Data Engineer