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aws glue data engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Glue Data Engineer

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are looking for a Data Assurance Lead to serve as the ultimate guardian of data trust across our clients' complex Lakehouse environments. In this high-impact consultancy role, you won't just monitor data; you will design, implement, and operationalize a robust Data Assurance Framework from the ground up. Utilizing Soda Core across the Medallion architecture (Bronze, Silver, Gold), you will define rigorous quality rules, automate data contracts, and integrate scorecards into OpenMetadata.
As a consultant, you are much more than a technical expert; you are a strategic advocate for data reliability. You must possess the communication mastery to &quot;sell&quot; the value of data assurance to stakeholders, lead cross-functional squads through aggressive migration targets, and embed a culture of quality within AWS Glue and Data Factory workflows. If you have 8+ years of experience&mdash;ideally within the Financial Services or Banking sectors&mdash;and thrive in fast-paced, Agile environments where you can automate the complex and influence the senior-most stakeholders, this is your next challenge.
Your responsibilities as the Data Assurance Lead include:<ul>
<li>
Data Quality Framework Implementation</li>
<li><ul><li>Implement Soda Core data quality checks across all Medallion layers (Bronze, Silver, Gold).</li>
<li>Define and maintain a data quality rules library, covering:</li>
<li><ul><li>Schema validation (completeness, uniqueness, data types)</li>
<li>Business rule validation (referential integrity, value ranges)</li>
<li>Reconciliation checks (source-to-target, row counts, checksums)</li>
<li>Freshness and timeliness SLAs as per data contracts 
</li></ul></li></ul></li><li>Automation &amp; Governance</li>
<li><ul><li>Implement automated data contracts using Soda and secure sign-off with producers and consumers.</li>
<li>Create automated validation and reconciliation processes.</li>
<li>Establish data quality scorecards in OpenMetadata, integrated with Soda.</li>
<li>Retrofit assurance checks across all live data flows.</li>
<li>Develop automated regression test suites for critical flows. 
</li></ul></li><li>Monitoring &amp; Incident Management</li>
<li><ul><li>Configure data quality alerts and thresholds.</li>
<li>Define escalation procedures for data incidents.</li>
<li>Collaborate with operational teams for alerting and monitoring.</li>
<li>Analyze data issues, implement countermeasures, and optimize check performance. 
</li></ul></li><li>Collaboration &amp; Training</li>
<li><ul><li>Work closely with Data Factory squads to embed data quality best practices.</li>
<li>Provide QA on Glue jobs to ensure compliance with the assurance framework.</li>
<li>Maintain comprehensive documentation and runbooks.</li>
<li>Train teams on data quality standards and tools.</li></ul></li> 
</ul> 
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
strong experience with data quality frameworks and tools (Soda Core or similar).</li>
<li>hands-on experience with Lakehouse architectures and Medallion design.</li>
<li>proficiency in AWS services (S3, Glue, Athena) and data validation techniques.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>8+ years experience in data engineering or data quality roles, with at least 3 years in data assurance leadership.</li>
</ul>
You will also have experience in:<ul>
<li>
identifying ways to automate their work / repetitive tasks.</li>
<li>dealing with data contracts, metadata management, and lineage tools (OpenMetadata preferred).</li>
<li>building automated validation and reconciliation pipelines.</li>
<li>communicating and stakeholder management.</li>
<li>leading cross-functional initiatives and drive adoption.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Working with Deeplight, you will have access to our great benefits which include:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Data Assurance Lead

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the &quot;connective tissue&quot; of the enterprise&mdash;designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:<ul>
<li>
Data Modeling</li>
<li><ul><li>Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).</li>
<li>Implement dimensional modeling for analytical layers.</li>
<li>Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.</li>
<li>Define and enforce naming conventions, metadata standards, and maintain model documentation. 
</li></ul></li><li>Semantic Layer &amp; Ontologies</li>
<li><ul><li>Design and implement a semantic layer to enable business-friendly data access and self-service analytics.</li>
<li>Work with advanced AI-tooling for semantic layer deployment and integration.</li>
<li>Develop and maintain ontologies and taxonomies to standardize business concepts across domains.</li>
<li>Ensure semantic consistency across data products and reporting layers. 
</li></ul></li><li>Knowledge Graph Development</li>
<li><ul><li>Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.</li>
<li>Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).</li>
<li>Collaborate with architects and platform engineers to ensure graph scalability and performance. 
</li></ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Work closely with Data Architects to align models with Lakehouse design principles.</li>
<li>Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.</li>
<li>Collaborate with Data Quality teams to embed validation rules and ensure compliance. 
</li></ul></li></ul><ul><li>Optimisation &amp; Standards</li>
<li><ul><li>Ensure models support schema evolution, partitioning strategies, and performance optimisation.</li>
<li>Create reusable modeling templates and best practices for Data Factory squads.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
Strong experience in data modeling for Lakehouse or data warehouse environments.</li>
<li>Proficiency in semantic layer design, ontologies, and knowledge graph development.</li>
<li>Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.</li>
<li>Understanding of metadata management and lineage tools (OpenMetadata preferred).</li>
<li>7+ years in data modeling or data architecture roles.</li>
<li>Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus.</li>
</ul>
You will also have experience in:<ul>
<li>
Data modeling tools (ERwin, PowerDesigner, or similar).</li>
<li>Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).</li>
<li>Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).</li>
<li>Analytical and conceptual thinking.</li>
<li>communicating and stakeholder engagement abilities.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication with different levels of stakeholders.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Data Modeler

Reqiva

<div>Operations Software Engineer 
 
Abu Dhabi 
 
A multi-strategy hedge fund is building out its operations technology function and is hiring Operations Software Engineers to develop the systems that support the full trade lifecycle. 
 
You&rsquo;ll work closely with Operations, Finance, Risk, Treasury, and Compliance teams to build scalable, reliable tools covering trade capture, reconciliation, settlement, P&amp;L, and reporting, as well as integrations with brokers, fund administrators, and custodians. Both individual contributor and team lead roles are available. 
 
Requirements: 
<ul><li>3&ndash;7+ years&rsquo; software engineering experience in financial services</li>
<li>Strong skills in Python or Java</li>
<li>Experience with SQL and data modelling</li>
<li>Understanding of the trade lifecycle</li>
<li>Strong attention to detail and communication skills</li>
</ul>Nice to have: FIX / SWIFT, cloud platforms (AWS/GCP/Azure), data pipelines or workflow tools. 
 
Our client offers an excellent base salary plus annual bonus &amp; additional benefits. 
 
Apply now for more info.</div>

Operations Software Engineer | Python / Java

Charterhouse Middle East

<div>
 
 
 Competitive Salary, Plus Family Benefits
 
 
 
 
 
 
 Charterhouse is working with a Family Office based in Abu Dhabi that is seeking to hire a Security Engineer to join their Product Support &amp; Design Division. This is a unique opportunity to work in a forward-thinking, innovation-led environment and play a critical role in securing cutting-edge digital platforms.
 
 
 
 
 
 The Security Engineer will be responsible for securing cloud environments (AWS preferred) and containerized workloads, embedding security into Git-based CI/CD pipelines, and hardening Linux systems. The role includes designing and operating layered cloud security, implementing secure patterns for orchestration, and governing software supply chain integrity through artifact and package controls.
 
 
 
 
 
 This role will also integrate automated vulnerability checks across the SDLC, manage incident response including root-cause analysis and forensics, and build telemetry pipelines feeding SIEM for actionable detection and alerting.
 
 
 
 
 
 Additional responsibilities involve defining secure-by-default architectures, enforcing policy guardrails, conducting security trainings, and enabling developer teams with practical secure coding guidance. The Security Engineer will configure and optimize WAF/CDN protections, enforce software supply chain integrity through artifact governance and SBOMs, and develop DevSecOps automation to embed security checks and guardrails into pipelines.
 
 
 
 
 
 The ideal Security Engineer will have a Bachelor&rsquo;s degree in Computer Science, Information Security, or equivalent experience, and at least three years of experience in security engineering, application security, or DevSecOps delivering engineered controls at scale.
 
 
 
 
 
 Candidates must demonstrate proficiency in at least one modern scripting or programming language for automation and integrations, experience operating CI/CD and infrastructure as code with security controls baked into pipelines, and hands-on practice with SIEM, detection engineering, vulnerability assessment, and incident response.
 
 
 
 
 
 Familiarity with industry security frameworks and benchmarks, as well as an understanding of LLM security basics, is essential. Relevant certifications such as AWS Certified Security Specialty, OSCP or OSWE, CKS, and GIAC GCSA, GCIA or GCIH certifications are strongly preferred.
 
</div>

DevSecOps Engineer

Sky News Arabia

<div>Job Description 
As a DevOps Engineer, you will join a digital development team that uses cutting-edge cloud and containerization technologies to support mission-critical digital products across Sky News Arabia and other IMI brands. We look to hire and develop the very best engineering talent and will ensure you receive the training and technical exposure needed to succeed and grow within Sky News Arabia.
Key Responsibilities<ul><li> 
Manage cloud-based hosting infrastructure and associated services.</li><li>
Build and maintain cloud-native development and deployment infrastructure.</li><li>
Support engineering teams with platform operations, reliability, and deployment workflows.</li><li>
Automate and improve development, deployment, and release processes.</li><li>
Ensure systems are safe, secure, and compliant with cybersecurity standards.</li><li>
Design, deploy, and manage containerized applications using AWS ECS.</li><li>
Operate scalable, highly available container-based production environments.</li><li>
Partner with engineering teams to optimize cloud-native architectures.</li><li>
Drive improvements in observability, monitoring, and incident response.</li><li>
Serve as release engineer for deployments across digital platforms.</li><li>
Provide technical incident support as part of a 24/7 on-call rota.</li></ul>
KEY SKILLS, EXPERIENCE AND EDUCATION<ul><li> 
Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field.</li><li>
Minimum 2+ years of relevant DevOps or cloud engineering experience.</li><li>
Solid experience with AWS cloud environments.</li><li>
Strong experience with CI/CD automation.</li><li>
Strong hands-on experience with monitoring and observability tools Zabbix, Grafana, Prometheus, or ELK.</li><li>
Extensive knowledge of Agile-based software development life cycles.</li><li>
Use Python and shell scripting to automate cloud infrastructure and deployment workflows.</li><li>
Strong Linux systems and services administration experience.</li><li>
Strong experience operating containerized workloads using AWS ECS.</li><li>
Experience with Docker containerization.</li><li>
Experience with PostgreSQL/MySQL or other relational databases.</li><li>
Strong experience using Git-based source control workflows (GitHub/GitLab).</li><li>
Familiarity with microservices architecture and cloud deployment patterns.</li><li>
Proficient in CI/CD tools such as Jenkins, Ansible, Terraform, and CloudFormation.</li><li>
Experience with performance testing and tuning of distributed systems.</li><li>
Working knowledge of Kubernetes (K8s) is a strong advantage.</li><li>
Experience with NGINX administration and optimization.</li><li>
CDN configuration and implementation experience.</li><li>
Understanding of VOD and streaming protocols (HLS / RTMP / DASH / RTP).</li></ul></div>

DevOps Engineer

Durlston Partners

<div></div><div><div><div><div>DevOps
</div><div>$250,000 (tax-free)
</div><div>Abu Dhabi</div><div>
</div></div></div><div><div><div><ul><li>Position: DevOps Engineer</li>
<li>Location: Abu Dhabi, UAE &ndash; full relocation assistance provided</li>
<li>Industry: Leading Crypto Trading Firm</li>
<li>Compensation: Up to $250,000 (tax-free)</li>
</ul>
Durlston Partners is working with a top-tier Quant Trading firm seeking a DevOps Engineer to help design, automate, and scale their trading infrastructure. You&rsquo;ll play a key role in ensuring system reliability, performance, and scalability in a fast-moving, mission-critical environment.

Key Responsibilities:
<ul>
<li>Build and maintain high-performance, scalable infrastructure for trading systems</li>
<li>Automate deployments, monitoring, and operational workflows</li>
<li>Improve reliability, observability, and performance across distributed systems</li>
</ul>
Ideal Experience:
<ul>
<li>4+ years as a DevOps Engineer, SRE, or Systems Engineer</li>
<li>Strong Python experience</li>
<li>Strong Linux and AWS background</li>
<li>Hands-on experience with Kubernetes, Terraform, Grafana, or similar tools</li>
<li>Familiarity with distributed systems, low-latency environments, or trading infrastructure</li>
</ul>
How to:
Please<ul><li> to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: david@durlstonpartners.com</li></ul></div></div></div></div>

DevOps Engineer – Quant Trading

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