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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

Foodics

You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.
What Will You Do
<ul>
 <li>Design and implement scalable ETL/ELT pipelines using cloud-native tools.</li>
 <li>Define and enforce data contracts with domain squads and internal consumers.</li>
 <li>Collaborate with ML Engineers on feature engineering and model-ready datasets.</li>
 <li>Build monitoring, alerting, and observability into the data infrastructure.</li>
 <li>Ensure data security, lineage, and compliance with internal standards.</li>
 <li>Contribute to onboarding toolkits and reusable data components.</li>
</ul>
What Are We Looking For
<ul>
 <li>5+ years of experience in data engineering, with a track record in scalable pipelines.</li>
 <li>Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).</li>
 <li>Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).</li>
 <li>Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)</li>
 <li>Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with time travel, schema evolution, and transactional guarantees.</li>
 <li>Experience building fault-tolerant, testable, and maintainable pipelines in production environments.</li>
 <li>Proven ability to work in cross-functional teams, collaborating with ML Engineers, Analysts, and Product Managers.</li>
 <li>Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred).</li>
 <li>Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.</li>
</ul>
Who Will Excel
<ul>
 <li>Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).</li>
</ul>

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

Codvo.ai

<div><div><div>Job Title: Databricks Solution Architect
Experience: 10+ years<div>
Location - Dubai</div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.<div></div> 
Senior / Expert Databricks Solutions Architect &mdash; Job Description
About the role
We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collaborate with cross-functional teams, and guide customers from concept through implementation and adoption.
What you&rsquo;ll do (Responsibilities)<ul><li>Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution.</li><li>Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics.</li><li>Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans).</li><li>Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization.</li><li>Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.</li><li>Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls).</li><li>Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI/CD for data and ML pipelines.</li><li>Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs; provide strategic guidance on platform adoption and ROI.</li><li>Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions.</li><li>Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements.</li></ul>
What you&rsquo;ll bring (Required qualifications)<ul><li>8+ years of experience in solutions/enterprise architecture or senior data engineering roles; 3+ years of hands-on experience with the Databricks platform and Spark-based architectures.</li><li>Deep expertise in Databricks components: Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, notebooks, and orchestration patterns.</li><li>Strong cloud experience (AWS, Azure, or GCP) with data storage and compute services (e.g., S3/Blob, ADLS, GCS, Redshift, BigQuery, Synapse, EMR/Databricks on cloud).</li><li>Proficiency in data integration and orchestration tools (e.g., Apache Airflow, dbt, Kafka, Spark Structured Streaming).</li><li>Advanced SQL and programming skills (Python or Scala); ability to prototype and review data pipelines, models, and analytics solutions.</li><li>Excellent communication and stakeholder management skills; ability to present complex technical concepts to both technical and non-technical audiences.</li><li>Experience delivering large-scale data lakehouse migrations/transformations, performance tuning, and cost optimization.</li><li>Databricks certification(s) or equivalent demonstrable expertise; willingness to obtain relevant certifications if not already held.</li></ul>
Preferred qualifications<ul><li>Experience with ML and MLOps on Databricks (MLflow, feature stores, model registry, CI/CD for ML).</li><li>Domain expertise in industries such as financial services, healthcare, retail, or telecommunications.</li><li>Familiarity with data governance, privacy regulations, and security frameworks (e.g., GDPR, HIPAA, SOC 2).</li><li>Familiarity with real-time data processing and streaming architectures.</li><li>Prior experience in pre-sales or solutioning for customers, including building compelling ROI stories and technical demos.</li></ul>
About you (soft skills and capabilities)<ul><li>Strategic thinker with a hands-on mindset; comfortable operating at both business and technical levels.</li><li>Strong analytical, problem-solving, and decision-making capabilities.</li><li>Collaborative team player who can lead without authority and influence stakeholders.</li><li>Comfortable working in a fast-paced, client-facing environment with travel as needed.</li><li>Submit your resume/CV and a brief cover letter outlining your Databricks projects and impact.</li><li>Include links to relevant work (e.g., public case studies, GitHub repositories, or portfolio demos) if available.</li></ul></div></div></div>

Databricks Solution Architect(UAE)

Explore 6537+ Senior data engineer in House Counsel Jobs In Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

6537 senior data engineer jobs IN House Counsel Jobs In Dubai United Arab Emirates

Senior Data Engineer

Senior Data Engineer (2-Months) Contract

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

Senior Data Science Engineer

Databricks Solution Architect(UAE)