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senior data engineer

BBGC

We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, bu We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance. Requirements 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.

Senior Data Engineer

BlackStone eIT

BlackStone eIT is seeking a highly motivated Senior Data Engineer for a 2-month contract to assist in the development and optimization of our data infrastructure. This temporary role will provide the opportunity to work on critical projects and make an immediate impact within our team. As a Senior Data Engineer, you will design and implement data pipelines, ensuring the efficient processing and analysis of large sets of data. Your expertise will enhance our data management strategies and support data-driven decision-making across the organization within a tight timeframe. Key Responsibilities <ul> <li>Design and develop data pipelines for both batch and real-time data processing.</li> <li>Implement ETL processes, ensuring timely and accurate data flow from various sources.</li> <li>Optimize existing data infrastructures for improved performance and accessibility.</li> <li>Collaborate closely with data analysts and business stakeholders to understand their data needs.</li> <li>Conduct data quality assessments and implement solutions to improve data integrity.</li> <li>Document processes and workflows for future reference.</li> <li>Quickly troubleshoot and resolve any data-related issues that arise.</li> </ul>

Senior Data Engineer (2-Months) Contract

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. TThis allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The Senior Data Quality &amp; Automation Engineer is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves hands on contributing to quality practices along with designing and implementing data quality and automation platforms. They will also provide support to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.
In this role, you will:
<ul><li>Build and support generating or mocking of test data for exploratory analysis and running tests.
</li><li>Design and build automated tests / jobs of moderate to high scope and complexity across all stages of the data pipeline while demonstrating good coding &amp; design practices and adhering to published coding standards and guidelines.
</li><li>Build and enhance data quality rules and platforms for observability across the data pipeline.
</li><li>Debug complex issues, resolve blockers and follow design documents with minimal or no supervision.
</li><li>Conduct data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping ensuring delivery on business needs.
</li><li>Support in updating data inventories and registries as required to keep metadata and data lineage up-to date, following agreed Data Governance standards, guidelines and principles.
</li><li>Work closely with product owners, analysts, software engineers and architects to understand the technical landscape and context of deliveries to refine complex functional and non-functional requirements and translate it into fit for purpose acceptance tests.
</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and select methods to validate and automate the solution.
</li><li>Build test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<ul><li>Qualifications: Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
</li><li>2+ years experience in Data Engineering with focus on quality &amp; automation.
</li><li>Minimum 2+ years of testing, automation and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure).
</li></ul>Knowledge/Skills:
<ul><li>Seasoned in identifying quality issues across complex data pipelines running on big data technologies and defining rules for validating health of the data.
</li><li>Experienced in a wide variety of testing methods and tools covering functional, performance, security tests across individual jobs, pipelines and end to end across enterprise.
</li><li>Well versed in building automated checks running in a CI pipeline to validate the ETL / ELT jobs are performing as expected.
</li><li>Experience with batch and real-time data ingestion/integration tools and technologies handling massive quantities of data (structured and unstructured).
</li><li>Exposed to data architecture concepts such as data modelling, Big Data storage, and dimensional modelling.
</li><li>Exposed to working with jobs in data pipelines and define metrics / measures to ensure correctness of the data.
</li><li>Programming (Python or Scala) and SQL querying skills is required.
</li><li>Exposure to Spark &amp; airline industry experience is nice-to-have.
</li><li>Ability to drive quality of data assets independently.
</li><li>Able to deliver solutions (and associated value) interactively.
</li><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred.
</li><li>Operates with a You Code It, You Own It? mindset (i.e. supports the products they build).
</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues.
</li><li>Is accountable and displays positive attitude.
</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space.
</li></ul>Technology Domain Key Technologies/Tools:
<ul><li>Big Data &amp; distributed processing: Spark, Hadoop (HDFS, Hive, H-Base, Oozie), Airflow, , Apache Nifi, Azure (ADLS, DataBricks, Azure Data Factory) Elasticsearch, AVRO / PARQUET file formats Data Analysis, Modelling and Reporting : Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI.
</li><li>Cloud Technologies: Microsoft Azure and Cloudera technology stacks.
</li><li>Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka, CI/CD : GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, docker, SonarQube, Gatling.
</li><li>Languages : Scala, Python.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. so if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and discover what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city by visiting the Dubai Lifestyle section on our career&rsquo;s website: www.emirates.com/careers .</div>

Property Finder Group

Reports To:
Director of Data Engineering
Summary
We are in search of a talented and passionate Data Engineer to enhance our data engineering capabilities at Property Finder in Dubai. In this role, you will driving the development and maintenance of sophisticated data solutions, building data pipelines in batch and real time. Beyond that, you will contribute in building and maintaining the infrastructure necessary for data engineering processes.
Collaborating with cross-functional teams, you will contribute to building self-service data layers and provide crucial insights to align data architecture with broader business strategies. Your contribution towards innovative solutions and ensuring the highest standards of data quality.
Key Responsibilities:
<ul>
<li>Design and implement real time data pipelines in Cloud.</li>
<li>Design and implement complex ETL solutions for large datasets.</li>
<li>Optimise and fine-tune SQL and/or Python code for performance.</li>
<li>Design and maintain data models for efficient storage and retrieval.</li>
<li>Troubleshoot and resolve issues related to data pipeline performance.</li>
<li>Build and maintain self-service datasets to accelerate data democratization efforts.</li>
<li>Contribute to the initiatives for managing and optimizing infrastructure.</li>
<li>Implement best practices for version control and collaboration in Terraform.</li>
</ul>
Our Tech Stack:
Languages: Java/Scala, SQL &amp; Python
Message Queues: Kafka, Kinesis Data Streams
Data stores: Snowflake, Redshift, Clickhouse, S3
Pipeline orchestration tool: Dagster (Legacy: Airflow)
Platforms &amp; Services: Docker, Kubernetes
PaaS: AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3 and others.)
ETL: FiveTran &amp; DBT for transformation
IaC: Terraform (with Terragrunt)

Legacy Smart Employment Services

- Architect and manage robust big data pipelines using the Hadoop ecosystem (HDFS, Hive, Pig, HBase, Sqoop, Flume, etc.) - Develop and optimize solutions using Spark, MapReduce, and NoSQL databases like Cassandra and HBase. - Write clean, scalable code in Java, Python, Scala, or R — bonus points if you&#x27;re comfortable in Linux environments. - Own end-to-end data engineering deliverables and lead the charge on performance, scalability, and reliability. - Collaborate with cross-functional teams to solve complex data and system integration challenges.

Whiteshield

<div>Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in &quot;connecting the dots&quot; between policy, business and technology.
Whiteshield X is Whiteshield&rsquo;s product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. We develop a host of different SaaS modules from job matching to managing scholarship programs, and from delivering financial support to growth support for SMEs. These modules support governments around the world with delivering G2C and G2B services efficiently and significantly improve policy outcomes.
We are seeking a Senior Data Engineer who combines deep technical expertise with architectural vision to build the next generation of AI-accelerated data platforms.
You will play a pivotal role in defining and implementing the organization&rsquo;s data architecture and platform strategy &mdash; ensuring that data is reliable, well-structured, and easily consumable across systems and applications. This is both a strategic and hands-on position: you&rsquo;ll design scalable architectures, build data pipelines, and collaborate with application and product teams to embed data excellence into every part of the technology stack.
If you&rsquo;re passionate about data craftsmanship, AI-driven automation, and modern cloud-native ecosystems, this is an opportunity to make a large-scale impact.
What You'll Do<ul><li>
Data Architecture &amp; Strategy</li></ul><ul><li>
Define and maintain the enterprise data architecture blueprint, spanning ingestion, lake, warehouse, and semantic layers.</li></ul><ul><li>
Collaborate closely with application and platform teams to design robust data strategies &mdash; ensuring alignment between application design, API contracts, and long-term data scalability.</li></ul><ul><li>
Develop integration patterns and governance models that support cross-platform interoperability, data lineage, and secure data sharing.</li></ul><ul><li>
Partner with cloud architects to ensure performance, scalability, and compliance across Azure environments.</li></ul><ul><li>
Data Engineering &amp; Orchestration</li></ul><ul><li>
Build and optimize end-to-end data pipelines using Apache Airflow, Azure Fabric, Azure Data Factory, and SSIS &mdash; integrating diverse data sources (transactional, streaming, and analytical).</li></ul><ul><li>
Implement AI-accelerated data processing for intelligent schema mapping, deduplication, and performance optimization.</li></ul><ul><li>
Develop and maintain ETL/ELT frameworks using SQL and Python (Pandas, PySpark) for high-volume, low-latency data movement.</li></ul><ul><li>
Data Modeling &amp; Warehousing</li></ul><ul><li>
Design semantic data models, dimensional schemas, and data marts using SSAS, PostgreSQL, MSSQL, and Azure Synapse/Fabric.</li></ul><ul><li>
Collaborate with BI and analytics teams to support dashboards, reports, and forecasting tools with clean, contextualized, and well-documented data models.</li></ul><ul><li>
Performance, Quality &amp; Governance</li></ul><ul><li>
Define standards for data quality, lineage, observability, and access control.</li></ul><ul><li>
Implement automated validation, monitoring, and reconciliation mechanisms.</li></ul><ul><li>
Work with governance and security teams to ensure compliance with national and organizational data frameworks.</li></ul><ul><li>
Collaboration &amp; Enablement</li></ul><ul><li>
Partner with application engineers, data scientists, and business analysts to deliver AI-ready, high-quality data products.</li></ul><ul><li>
Act as a bridge between application development and data architecture, ensuring consistent data design across services.</li></ul><ul><li>
Mentor junior data engineers and champion best practices in modern data engineering and DevOps for data.</li></ul>
Requirements
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related discipline.</li></ul><ul><li>
6+ years of experience in data engineering and architecture, preferably in complex or government-scale environments.</li></ul>
Expertise in:<ul><li>
Orchestration: Apache Airflow, Azure Data Factory, or equivalent.</li></ul><ul><li>
ETL / BI Stack: SSIS, SSAS, dbt, Power BI semantic models.</li></ul><ul><li>
Databases: MSSQL, PostgreSQL, Azure Synapse, Azure Fabric Data Lake.</li></ul><ul><li>
Cloud Platforms: Deep knowledge of Azure (Fabric, Synapse, Blob, Data Lake, Functions, Logic Apps). Google Cloud is a plus.</li></ul><ul><li>
Languages: SQL and Python (Pandas, PySpark); experience with CI/CD pipelines and GitOps practices.</li></ul><ul><li>
Demonstrated experience designing AI-ready architectures and leveraging machine learning for data enrichment and automation.</li></ul><ul><li>
Strong understanding of data governance, interoperability standards, and scalable architecture design patterns.</li></ul>
Benefits
WHY CHOOSE US |
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</div>

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

Antons

Key Responsibilities 
<ul>
<li>
 ML Pipeline Engineering: Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.
</li>
<li>
 Model Development: Develop and optimize ML models, particularly for healthcare predictive analytics.
</li>
<li>
 Integration: Embed ML models into KPI-driven data processing and analytics workflows.
</li>
<li>
 Model Lifecycle Management: Implement model monitoring, drift detection, retraining, and continuous improvement strategies.
</li>
<li>
 Collaboration: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.
</li>
</ul>

Senior Data Science Engineer

Explore 6542+ Senior data engineer in Dubai this November. Find roles across top companies and apply now to boost your career.

6542 senior data engineer jobs IN Dubai

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Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

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