project engineer

backend developer

data scientist

estimation engineer

planning engineer

data pipeline 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)

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

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose<br>
</b></h5> <p>The Chief Directorate Department at Emirates Airlines oversees strategic planning, operational excellence, and innovation across various divisions. It plays a key role in driving the airline's growth, enhancing customer experience, and ensuring seamless global operations.<br>
</p><p>As a <b>Senior Data Quality &amp; Automation Engineer </b>you will be 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.
</p><p><b>In this role you will:
</b></p><ul><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><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>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.<br>
<li>
</li></ul><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
</b></p><ul><li>Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
</li><li>Experience 2+ years Data Engineering experience 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><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>Programming (Python or Scala) and SQL querying skills is required.<br>
<li>
</li></ul><p></p><br>
<p><b>Knowledge/Skills:
</b></p><ul><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 &ldquo;You Code It, You Own It&rdquo; 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><li>Exposure to Spark &amp; airline industry experience is nice-to-have.
</li>Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have.<br>
<li>
 </li></ul><p></p><br>
<p><b>Key Technologies/Tools
</b></p><p>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. Cloud Technologies: Microsoft Azure and Cloudera technology stacks. Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka. CI/CD: GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, docker, SonarQube, Gatling. Languages: Scala, Python.<br>
</p><p></p><p>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!
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Senior Data Quality Engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>Seeking a PySpark Data Engineer to design robust data pipelines, optimise big data workflows, support analytics requirements, collaborate with cross-functional teams, and ensure scalable, reliable data solutions for enterprise-level applications.</p>
</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Build and optimise scalable PySpark data pipelines efficiently.</li>
<li>Develop ETL workflows processing large datasets reliably.</li>
<li>Collaborate with data scientists to implement solutions.</li>
<li>Ensure data quality and governance across systems.</li>
<li>Monitor performance and troubleshoot processing issues.</li>
<li>Integrate data from diverse sources with precision.</li>
<li>Maintain secure and compliant data platform operations.</li>
<li>Document technical specifications and implementation details.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Strong expertise in Python and PySpark development.</li>
<li>Excellent SQL skills for large data processing.</li>
<li>Knowledge of data warehousing architecture designs.</li>
<li>Experience with streaming technologies like Kafka.</li>
<li>Familiarity with cloud platforms and big data tools.</li>
<li>Ability to optimise Spark jobs for performance.</li>
</ul>
<p><b>Note:</b> Salary is disbursed in the local currency of the country of employment.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>February 15, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Dubai, UAE
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
 <div>95000 - 125000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>August 21, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Pyspark Data Engineer

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

Falcon Group of Companies

<p><b>Sales Engineer &ndash; Machining &amp; Fabrication</b></p><p><b>Location:</b> UAE<br/><b>Company:</b> Falcon Group &ndash; Precision Machining &amp; Fabrication Division<br/><b>Employment Type:</b> Full-time</p><p><b>Job Summary</b></p><p>Falcon Group is seeking a <b>Sales Engineer / Business Development Engineer</b> to drive business growth for its <b>Precision Machining &amp; Fabrication division</b>.</p><p>The role is primarily <b>sales-focused</b>, responsible for generating new inquiries, managing customer relationships, and converting opportunities into orders. Dedicated estimation and technical teams will support costing and feasibility activities.</p><p><b>Key Responsibilities</b></p><p><b>Sales &amp; Business Development</b></p><ul><li>Identify and develop new business opportunities for machining and fabrication services</li><li>Actively engage with industrial customers, EPCs, and contractors</li><li>Build and maintain long-term relationships with key accounts</li><li>Conduct client meetings, presentations, and site visits</li><li>Achieve assigned sales targets and revenue objectives</li></ul><p><b>Customer &amp; Opportunity Management</b></p><ul><li>Receive and understand customer requirements and RFQs</li><li>Coordinate internally with estimation and engineering teams for quotations</li><li>Follow up on proposals, negotiations, and order closures</li><li>Maintain accurate sales pipeline and customer data</li><li>Support management with market intelligence and competitor insights</li></ul><p><b>Required Qualifications</b></p><ul><li><b>Bachelor&rsquo;s Degree in Mechanical Engineering</b> (preferred)</li><li><i>(Candidates with strong industrial sales experience may be considered)</i></li><li><b>5&ndash;10 years of experience</b> in:</li></ul><ul><li>Industrial sales</li><li>Machining, fabrication, or industrial services environment</li><li>Proven track record in <b>B2B sales and account managementRequired Skills &amp; Competencies</b></li></ul><ul><li>Strong sales, negotiation, and closing skills</li><li>Ability to understand customer technical requirements at a high level</li><li>Excellent communication and relationship-building skills</li><li>Self-driven, target-oriented, and results-focused</li><li>Proficient in MS Office; CRM experience is an advantage</li><li>Ability to work closely with internal technical and estimation teams</li></ul><p><b>Language Requirements</b></p><ul><li>English &ndash; Mandatory</li><li>Hindi &ndash; Preferred</li><li>Arabic &ndash; Advantage</li></ul><p>Job Type: Full-time</p>

Sales Engineer – Machining & Fabrication

McDermott

<div><p><b>Job Overview:
</b></p><p>The Installation Analysis Engineer applies their conceptual knowledge of Installation Analysis and, with a moderate level of guidance and direction from colleagues and leadership, is responsible for solving a range of straightforward Installation Analysis problems. They will be responsible for analyzing possible solutions using standard procedures and building knowledge of the company, processes, and customers. The Installation Analysis Engineer understands critical business drivers and applies this knowledge to solve problems in straightforward situations by analyzing possible solutions using technical experience, judgment, and precedents.</p></div>
<br><div><div>Our ingenuity fuels daily life. Together, we&rsquo;ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.
<br>
<br>
For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.</div></div>
<br><div><p><b>Key Tasks and Responsibilities:
</b></p><ul><li>Perform FEED, Studies, and detailed design engineering, analysis, and calculations on more complex and demanding engineering tasks
</li><li>Apply knowledge and skills to complete varied assignments
</li><li>Prepare clear and accurate detailed design calculations and analyses including design reports and procedures
</li><li>Prioritize and organize own work to meet deadlines
</li><li>Focus on completing work within budgets
</li><li>Communicate and explain information in straightforward engineering activities
</li><li>Gain familiarity with the project scope of work, specifications, schedule, and all inter-discipline requirements; including identifying concerns as early as practicable
</li><li>Recognize changes to scope and notify the Discipline Lead Engineer
</li><li>Interface with all disciplines to develop clash free designs
</li><li>Interface with other departments to obtain input for Discipline designs and drawings
</li><li>Document substantive communications (communications that result in significant decisions or assignment of actions) and forward copies to Discipline Lead Engineer and Discipline Manager
</li><li>Provide required bid inputs as directed
</li><li>Prepare sketches of detailed design to guide Designers
</li><li>Assist procurement personnel in producing discipline equipment, materials, and services; Procurement assistance includes preparing requisitions, evaluating technical quotations, preparing queries, compiling bid tabulations and recommendations, preparing purchase requisitions, and coordinating with Procurement to expedite vendor documents, as directed by Discipline Lead Engineer
</li><li>Review MTOs for requisitions
</li><li>Assist in updating weight report based on receipt of vendor information
</li><li>Check drawings
</li><li>Check engineering performed by others within the Discipline
</li><li>Review vendor subcontractor submittals, checking for compliance with project specifications and providing comments as necessary
</li><li>Perform design verification through single-discipline checks and assist with inter-discipline checks (IDC)
</li><li>Keep the Lead Engineer apprised of all activities, progress, and concerns
</li><li>Check final subcontractor and vendor data manuals to ensure that all requested data has been received and approved
</li><li>Capture lessons learned and enter into MDR&rsquo;s Lessons Learned system
</li><li>Develop an awareness of costs related to own work and of the discipline
</li><li>In FabCSE, perform/review designs, analyses, evaluations, calculations, and procedures such as:
<ul><li>Erection sequences for jackets, topsides, and other structures
</li><li>Loadout procedures and guidance during the operations
</li><li>Construction lift analyses and procedures for activities such as floatover, stackings roll-ups, etc.
</li><li>Weighing procedures
</li><li>Design and detailing of miscellaneous fabrication yard items
</li><li>Crane arrangements and rigging arrangements
</li><li>Trailer arrangements/operations, including drawings and procedures
</li></ul></li><li>Additional skills (Preferable, not mandatory) - Perform pipeline Installation Engineering designs, analyses, evaluations, calculations, and procedures for transporting and installing (including installation aids);
<ul><li>Submarine pipelines
</li><li>Risers
</li><li>Spools
</li><li>PLETS and manifolds
</li><li>Cables
</li></ul></li><li>Additional skills (Preferable, not mandatory) - Perform Structural Installation Engineering designs, analyses, evaluations, calculations, and procedures for loadout, transportation, and installation (including installation aids) of offshore structures, including barge upgrades/modifications
</li><li>Additional skills (Preferable, not mandatory) - Perform Naval Architecture engineering designs, analyses, evaluations, calculations, and procedures related to all aspects of marine operations covering loadout, transportation, and installation, including barge upgrades
 </li></ul><p>Reports to: Manager (Construction Support Engineer)
 <br>
Liaise With: All design/drafting disciplines, all Engineering disciplines, Fabrication groups, and Document Control
 <br>
Supervises: Trainee Engineers</p></div>
<br><div><p><b>Essential Qualifications and Education:
</b></p><ul><li>Bachelor&rsquo;s degree in Naval Architecture, Civil/Structural/Mechanical Engineering (Master&rsquo;s degree preferred)
</li><li>3-8 years of experience in oil and gas with a major contractor or consultant predominantly performing detail design
</li><li>Familiar with the content and application of standards, codes, and guidelines as applicable
</li><li>Knowledge of many basic design techniques and analysis methods
</li><li>Preferably Registered Engineer in Training (ElT) or member of a professional engineering society
</li></ul><p>#LI-DA1</p></div>

Installation Analysis Engineer

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