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data engineer

Heidelberg Materials Trading

<div>
 <p>
  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:
 </p>
 <p>
 </p>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <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>
 <p>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <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>
 <p>
 </p>
 <p>
 </p>
 <p>
  <strong>
   We thank all applicants for their interest, but only shortlisted candidates will be contacted.
  </strong>
 </p>
 <p>
  <strong>
   All applications will be kept strictly confidential.
  </strong>
 </p>
</div>


Data Engineer

GSSTech Group

<div><p>We are seeking a highly skilled Data Engineer with strong expertise in <b>PySpark</b> and the <b>Cloudera Data Platform (CDP)</b>. The ideal candidate will design, develop, and maintain scalable data pipelines while ensuring high data quality, performance, and availability across the organisation.</p><p>
This role requires hands-on experience in big data ecosystems, cloud-native technologies, and advanced data processing frameworks. You will collaborate with cross-functional teams to build reliable and high-performance data solutions that drive business insights.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
1. Data Pipeline Development</b></h3><ul>
<li>Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on CDP
</li><li>Ensure data integrity, reliability, and performance optimisation
</li></ul><h3 class="jobSectionHeader"><b>2. Data Ingestion</b></h3><ul>
<li>Develop ingestion frameworks to collect data from relational databases, APIs, streaming sources, and file systems
</li><li>Load structured and unstructured data into Data Lake/Data Warehouse environments
</li></ul><h3 class="jobSectionHeader"><b>3. Data Transformation &amp; Processing</b></h3><ul>
<li>Process, cleanse, and transform large-scale datasets using PySpark
</li><li>Build reusable data processing components
</li></ul><h3 class="jobSectionHeader"><b>4. Performance Optimisation</b></h3><ul>
<li>Tune Spark jobs and Cloudera components for optimal performance
</li><li>Optimise memory, partitioning, and execution plans
</li><li>Reduce ETL runtime and improve cluster efficiency
</li></ul><h3 class="jobSectionHeader"><b>5. Data Quality &amp; Validation</b></h3><ul>
<li>Implement data validation checks and monitoring mechanisms
</li><li>Ensure end-to-end data quality and governance standards
</li></ul><h3 class="jobSectionHeader"><b>6. Automation &amp; Orchestration</b></h3><ul>
<li>Automate workflows using tools such as Apache Oozie, Apache Airflow, or similar orchestration frameworks
</li><li>Maintain CI/CD integration for data pipelines
</li></ul><h3 class="jobSectionHeader"><b>7. Monitoring &amp; Support</b></h3><ul>
<li>Monitor pipeline health and troubleshoot failures
</li><li>Provide production support and continuous improvements
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3><ul>
<li>5+ years of experience in Data Engineering
</li><li>Strong hands-on experience in <b>PySpark</b>
</li><li>Experience working on <b>Cloudera Data Platform (CDP)</b>
</li><li>Strong knowledge of Hadoop ecosystem (HDFS, Hive, Impala, YARN)
</li><li>Proficiency in SQL and data modelling concepts
</li><li>Experience with workflow orchestration tools (Airflow, Oozie, etc.)
</li><li>Good understanding of data warehousing concepts
</li><li>Experience with performance tuning and optimisation
</li></ul><p></p><h3 class="jobSectionHeader"><b>Good to Have</b></h3><ul>
<li>Experience with cloud platforms (AWS, Azure, GCP)
</li><li>Knowledge of streaming tools (Kafka, Spark Streaming)
</li><li>Exposure to DevOps practices and CI/CD pipelines
</li><li>Banking/Financial Services domain experience</li></ul></div>

Data Engineer (PySpark)

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Data Engineer - Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across global futures markets. Our research and trading systems rely on robust, scalable data infrastructure. We are looking for Data Engineers to help us design, build, and optimize that infrastructure alongside senior engineers and the CIO.</p><p></p><p><b>
Key Responsibilities</b><br>
You&rsquo;ll work on projects such as:</p><ul>
<li>
Designing and maintaining data pipelines to collect, clean, and transform market and alternative datasets (e.g., futures, options, weather, satellite, fundamentals).</li>
<li>Building ETL workflows using Python (pandas/polars) and orchestration tools such as Airflow or Prefect.</li>
<li>Structuring data warehouses and APIs (SQL, Snowflake, or similar) for efficient query and analysis.</li>
<li>Developing data quality and monitoring systems for latency, completeness, and integrity.</li>
<li>Assisting in cloud deployments (AWS, Docker) and automation for data ingestion and versioning.</li>
<li>Collaborating with Quant Researchers to make research datasets reproducible and production-ready.</li>
<li>Contributing to internal documentation and code standards to ensure long-term maintainability.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Strong programming skills in Python and familiarity with SQL.</li></ul><ul>
<li>Understanding of data structures, algorithms, and software engineering best practices.</li>
<li>Interest in large-scale data systems, cloud computing, or distributed processing.</li>
<li>Self-starter with curiosity and attention to detail.</li>
</ul><p></p><p>
Bonus points for:</p><br>
<ul>
<li>
Experience with Airflow, Docker, or AWS.</li>
<li>Familiarity with Snowflake, Polars, or Pandas workflows.</li>
<li>Exposure to financial or time-series data.</li>
<li>Understanding of CI/CD, version control, or testing frameworks.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
Real-world impact: Help build data systems that directly feed institutional-grade trading research and live execution.</li>
<li>Technical depth: Gain hands-on experience with distributed data pipelines, cloud infrastructure, and production data engineering.</li>
<li>Mentorship: Work closely with senior engineers, the CIO, and Quant Researchers on live projects.</li>
<li>Collaborative culture: Inclusive, high-trust team that values initiative and learning.</li>
<li>Compensation: Competitive stipend/salary based on experience.</li></ul></div>

Data Engineer - Systematic Commodities Hedge Fund

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><div><p>
Position Overview</p></div><p>
Parsons is seeking a high-potential Data Engineer Graduate Intern to join our Technology and Innovation team. This role is designed for candidates with strong analytical foundations and an interest in building scalable, enterprise-grade data platforms that support operational, engineering, and executive decision-making.</p><p>
As an intern, you will contribute to the design, development, and optimization of cloud-based data pipelines and analytics platforms, primarily within the Microsoft Azure ecosystem. You will work alongside experienced data engineers, architects, and product teams on real delivery programs, gaining exposure to enterprise data standards, governance, and DevOps practices.</p><p><b>
Key Responsibilities</b></p><p><b>
Data Processing</b></p><ul><li>
Work with frameworks like Apache Spark, Hadoop, or Apache Beam to process large datasets efficiently.</li><li>
Support development of batch and streaming data pipelines using Python and distributed processing frameworks such as Apache Spark (Databricks)</li><li>
Assist in processing and transforming structured and semi-structured data at scale</li></ul><p></p><p><b>
ETL/ELT Implementation</b></p><ul><li>
Assist in designing and implementing ETL/ELT processes for data integration and transformation.</li><li>
Contribute to the design and implementation of ETL/ELT workflows using Azure Data Factory, Databricks, or equivalent tools</li><li>
Support data ingestion from multiple sources (databases, APIs, files, cloud storage)</li></ul><p></p><p><b>
Cloud Integration &amp; Platform (Microsoft Azure)</b></p><ul><li>
Work with <b>Azure-native data services</b>, including:<ul><li>
Azure Data Factory</li><li>
Azure Synapse Analytics</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Databricks</li></ul></li><li>
Utilize cloud services such as Azure (Data Factory, Synapse, Data Lake), AWS (S3, Redshift, Glue), or Google Cloud Platform (BigQuery, Dataflow) for data storage and processing.</li><li>
Support secure configuration of cloud resources, access controls, and data storage</li></ul><p></p><p><b>
Database Management</b>:</p><ul><li>
Manage and query relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).</li><li>
Query and manage <b>relational databases</b> (Azure SQL, SQL Server, PostgreSQL, MySQL)</li><li>
Support analytics and reporting use cases using <b>modern data warehouse / lakehouse architectures</b></li></ul><p></p><p><b>
Data Warehousing</b>:</p><ul><li>
Support the development and optimization of modern data warehouse solutions like Databricks, Snowflake, Redshift, or BigQuery.</li></ul><p><b>
Pipeline Orchestration</b></p><ul><li>
Build and manage workflows using orchestration tools like Apache Airflow, Prefect, or Luigi.</li><li>
Assist with workflow orchestration using tools such as Azure Data Factory pipelines or Apache Airflow (where applicable)</li><li>
Support scheduling, monitoring, and failure handling of data pipelines</li></ul><p><b>
Big Data Tools</b></p><ul><li>
Work with distributed data systems and storage solutions like HDFS or cloud-native equivalents.</li></ul><p><b>
Version Control</b></p><ul><li>
Collaborate with the team using Git for code versioning and management.</li></ul><p><b>
Debugging and Optimization</b></p><ul><li>
Diagnose and resolve performance issues in data systems and optimize database queries.</li></ul><p><b>
DevOps, Quality &amp; Optimization</b></p><ul><li>
Collaborate using Git-based workflows (Azure DevOps Repos or GitHub)</li><li>
Support data quality checks, performance tuning, and query optimization</li><li>
Assist with documentation of data pipelines, schemas, and system design</li></ul><p></p><div><p>
Technical Requirements</p></div><p><b>
Skill Area</b></p><p><b>
Requirements</b></p><p><b>
Programming</b></p><ul><li>
Proficiency in Python- Experience with scripting languages for automation</li></ul><ul><li>
Solid understanding of <b>SQL</b> for data querying and transformation</li></ul><p><b>
Data Processing Frameworks</b></p><ul><li>
Hands-on experience with Apache Spark, Hadoop, or Apache Beam- Familiarity with ETL/ELT processes</li><li>
Understanding of ETL / ELT concepts and data pipeline design</li></ul><p><b>
Database and Querying</b></p><ul><li>
Strong understanding of SQL- Experience with relational databases (PostgreSQL, MySQL, Oracle)</li><li>
Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB)</li></ul><p><b>
Cloud Platforms</b></p><ul><li>Familiarity with <b>Microsoft Azure data services</b></li></ul><ul><li>
Azure Data Factory</li><li>
Azure Synapse Analytics</li><li>
Azure Data Lake</li><li>
Azure Databricks</li></ul><p>
(Data Factory, Synapse, Data Lake)- AWS (S3, Redshift, Glue</p><ul><li>
Awareness of Azure security and identity concepts (RBAC, managed identities) is advantageous</li></ul><p><b>
Data Warehousing</b></p><ul><li>Experience with Databricks, Snowflake, Redshift, or BigQuery</li></ul><p><b>
Data Pipelines and Orchestration</b></p><ul><li>Knowledge of tools like Apache Airflow, Prefect, or Luigi</li></ul><p><b>
Big Data Tools</b></p><ul><li>Experience with distributed data systems and storage solutions like HDFS</li></ul><p><b>
Version Control</b></p><ul><li>Proficiency with Git for code versioning and collaboration</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Exposure to <b>Azure DevOps</b> or <b>GitHub Actions</b></li><li>
Familiarity with Agile / Scrum delivery environments</li><li>
Interest in enterprise analytics, cloud platforms, and data governance</li><li>
Awareness of data privacy and governance principles (e.g., GDPR concepts)</li><li><b>
Note:</b> Multi-cloud exposure (AWS / GCP) is beneficial but <b>not required</b>. The primary environment is <b>Microsoft Azure</b>.</li><li><b>
Experience</b>: Practical exposure to building and optimizing scalable data pipelines, batch and real-time data processing.</li><li><b>
Debugging</b>: Familiarity with diagnosing and resolving performance issues in data systems.</li><li><b>
Data Governance</b>: Understanding of data privacy regulations (e.g., GDPR, CCPA) and experience implementing data quality checks and access controls.</li><li><b>
Certifications</b> (Optional but Valuable):<ul><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Google Professional Data Engineer</li><li>
Microsoft Azure Data Engineer Associate</li><li>
Databricks Certified Data Engineer Associate</li></ul></li></ul><p></p><div><p>
Soft Skills</p></div><ul><li><b>
Problem-Solving</b>: Ability to troubleshoot complex data and system issues independently.</li><li><b>
Communication</b>: Collaborate with data analysts, scientists, and engineers to understand data needs and deliver solutions.</li><li><b>
Documentation</b>: Document data workflows, system designs, and troubleshooting procedures effectively.</li><li><b>
Team Collaboration</b>: Experience working in cross-functional teams using Agile or similar methodologies.</li></ul><p></p><div><p>
Education</p></div><ul><li>
Bachelor&rsquo;s degree (or final-year student) in <b>Computer Science, Data Engineering, Information Systems, Engineering, or a related field</b></li><li>
Relevant projects, internships, or practical experience may substitute for formal education</li></ul><p></p><div><p>
Learning Opportunities</p></div><ul><li>
Hands-on experience building data pipelines in a <b>Microsoft Azure enterprise environment</b></li><li>
Exposure to <b>lakehouse architectures, analytics platforms, and cloud security practices</b></li><li>
Practical experience with Databricks, Azure Data Factory, and Synapse</li><li>
Mentorship from senior data engineers and architects working on live programs</li><li>
Insight into how data engineering supports large-scale infrastructure, engineering, and program delivery</li></ul><p></p><p><b>
Duration</b></p><ul><li>
Internship duration: 3 to 6 months with possibility of extension.</li></ul><p></p>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p></p><p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!</p><p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Data Warehouse Engineer - Intern

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Business Intelligence Engineer specializing in Cross-Border Business, you will drive data-led decision-making for Amazon&rsquo;s global expansion initiatives. You will partner with cross-functional teams to define key performance indicators (KPIs), build scalable data pipelines, and deliver actionable insights that optimize cross-border operations, pricing, logistics, and market entry strategies. This role requires deep technical expertise in data engineering, analytics, and visualization, coupled with a nuanced understanding of international market dynamics.<br>
<br>
Key Responsibilities<br>
<br>
Define and Track Cross-Border KPIs<br>
Collaborate with product, finance, and operations teams to identify and prioritize KPIs for cross-border business performance. Design dashboards and reports to monitor metrics such as sales growth, fulfillment efficiency, and regional profitability.<br>
<br>
Build Scalable Data Pipelines<br>
Develop and maintain ETL processes to ingest, transform, and analyze cross-border transactional data from diverse sources. Optimize data workflows for Amazon Redshift, Athena, or similar platforms to support real-time analytics.<br>
<br>
SQL and Advanced Analytics<br>
Write complex SQL queries to validate data integrity, automate reporting, and support tests for cross-border initiatives. Apply statistical methods to analyze regional market trends and customer behavior.<br>
<br>
Cross-Functional Partnership<br>
Translate ambiguous business questions from global stakeholders into measurable data solutions. Lead investigations into operational anomalies and recommend process improvements.<br>
<br>
Data Visualization and Storytelling<br>
Create interactive dashboards to communicate insights to non-technical audiences. Highlight conversion funnel drop-off points and propose data-driven strategies for improvement.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer (BIE II), AMET Crossborder Business

Deeplight

<p></p><div><p>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.</p><p>
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.</p><p></p><p><b>
As the Backend Engineer, your responsibilities will include:</b></p><p></p><ul>
<li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li>
<li>GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li>
<li>Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li>
<li>Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li>
<li>DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li>
<li>Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li>
<li>Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li>
</ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i></p><p><br>
<i>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.<br>
</i></p><p><br>
<i>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.<br>
</i></p><p><br>
<i>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.<br>
</i></p><p><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><p><b>
Requirements</b></p><p><b>
The key requirements for this role are:</b></p><p></p><ul>
<li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li>
<li>Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li>
<li>Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li>
<li>Advanced coding skills in Python and JavaScript/TypeScript.</li>
<li>Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li>
</ul><p></p><p><b>
You should also have the following:</b></p><p></p><ul>
<li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li>
<li>A minimum of 5+ years in professional software development.</li>
<li>Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li>
<li>Advanced knowledge of banking operations, terminologies, and financial services products.</li>
</ul><p></p><p><b>
It would be preferable if you also have:</b></p><p></p><ul>
<li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li>
<li>Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li>
<li>The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li>
<li>The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li>
</ul><p><b>
Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul>
<li>
Competitive salary.</li>
<li>Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Career advancement opportunities in a rapidly growing AI company.</li>
</ul><p></p><p>
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.</p><p>
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.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
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.</p></div><p></p>

Backend Engineer

Naffco

<div><h4 class="jobSectionHeader"><b>Job Summary</b></h4><p>
We are seeking an experienced <b>Data Scientist</b> with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with <b>Qlik Sense</b> for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with <b>Oracle EBS</b> data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.</p><h4 class="jobSectionHeader"><b>
Key Responsibilities:</b></h4><ul><li><p>
Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.</p></li><li><p>
Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.</p></li><li><p>
Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.</p></li><li><p>
Ensure data integrity, consistency, and high performance across analytics solutions.</p></li><li><p>
Collaborate with business units to understand reporting needs and translate them into technical solutions.</p></li><li><p>
Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.</p></li><li><p>
Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.</p></li></ul><h4 class="jobSectionHeader"><b>
Qualifications &amp; Experience:</b></h4><ul><li><p>
BTech / BSc in Computer Science, MCA, or equivalent technical qualification.</p></li><li><p>
2&ndash;5 years of proven experience in data analytics, modeling, and dashboard development.</p></li><li><p>
Strong expertise in <b>Qlik Sense</b> and <b>SQL</b>; experience with <b>Oracle EBS</b> is a plus.</p></li><li><p>
Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.</p></li><li><p>
Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.</p></li></ul></div><p></p>

Data Scientist

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