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PHAZERO

<div><p><b>About PhazeRo</b></p><p>
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.</p><p><b>
Position Overview</b></p><p>
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.</p><p><b>
Key Responsibilities</b></p><ul>
<li>Develop scalable machine learning models and algorithms to solve specific business problems.</li>
<li>Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.</li>
<li>Implement and optimize model deployment pipelines for production environments.</li>
<li>Evaluate model performance and iterate on designs to enhance accuracy and efficiency.</li>
<li>Research and stay current with the latest advancements in machine learning and artificial intelligence.</li>
<li>Document processes and communicate results effectively to stakeholders.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience in machine learning, data science, or related roles.</li>
<li>Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).</li>
<li>Experience in model evaluation metrics and techniques for model validation.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and a collaborative approach to work.</li>
<li>Passion for machine learning and eagerness to stay updated with industry trends.</li>
</ul><p><b>Benefits</b></p><ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

Machine Learning Engineer

<div><p>Job summary</p><div>
<p><b>Entity:
</b></p>Technology<p><b><br>
Job Family Group:
</b></p>Business Support Group<p><b><br>
Job Description:
</b></p><p><b>Role Synopsis</b></p><p>
The Data Analyst plays a critical role in ensuring the integrity, usability, and integration of subsurface and wells data across platforms and teams. With a strong foundation in geoscience, Python programming, and database management, the analyst supports data quality initiatives, dashboard readiness, and cross-functional decision-making. This role is pivotal in enabling trusted data pipelines and analytics for planning, drilling, and operational efficiency across MENA assets.</p><p>
Key Accountabilities</p><ul><div><b>
Data Profiling &amp; Auditing:</b><ul><div>
Identify missing, duplicate, or inconsistent data across subsurface and wells portfolios.</div><div>
Audit well headers, logs, casing depths, and time-depth curves to ensure data completeness and accuracy.</div></ul></div><div><b>
Define Data Quality Rules:</b><ul><div>
Codify validation rules (e.g., log depth &lt; total depth, unit consistency).</div><div>
Implement checks using SQL, EDM, Power BI, and Well Intel tools to support reliable reporting.</div></ul></div><div><b>
Cleansing &amp; Validation:</b><ul><div>
Standardize and correct log names, formation tops, mechanical values, and production data.</div><div>
Work across Petrel, Studio, OpenWorks, Fusion sheets, and Excel to ensure clean datasets.</div></ul></div><div><b>
Data Integration:</b><ul><div>
Merge and reconcile data across applications such as Petrel, PI System, Palantir, EDM, and SharePoint.</div><div>
Enable unified views for modeling, planning, and dashboarding.</div></ul></div><div><b>
Dashboard Readiness:</b><ul><div>
Prepare validated datasets for Power BI/Tableau with quality confidence tagging.</div><div>
Support creation of &ldquo;One Source of Truth&rdquo; dashboards for decision-makers.</div></ul></div><div><b>
Auditability &amp; Metadata Management:</b><ul><div>
Maintain data dictionaries, lineage records, and version tracking.</div><div>
Ensure traceability, compliance, and reproducibility of models and analytics.</div></ul></div></ul><p><b>
Job Requirements</b> &amp; <b>Essential Education</b></p><ul><div>
Degree in Data Science, Data Analytics, Computer Science, or Information Systems</div><div>
Omani citizen</div><div>
Minimum CGPA of 3.00</div><div>
Open for 2023, 2024, 2025 graduates</div></ul><p></p><p><b>
Required Technical Skills</b></p><ul><div>
Python (Pandas, NumPy, Matplotlib/Seaborn)</div><div>
SQL (basic to intermediate query writing)</div><div>
Excel (Pivot Tables, Lookups, formulas)</div><div>
Data Visualization (Power BI preferred; Tableau is a plus)</div></ul><p></p><p><b>
Soft Skills</b></p><ul><div>
Strong analytical and prioritization skills</div><div>
Ability to build relationships across Geoscience, Engineering, and IT disciplines</div><div>
Proven ability to implement data management best practices</div><div>
Willingness to learn and share knowledge</div></ul><p><b><br>
Travel Requirement</b></p>
No travel is expected with this role<p><b><br>
Relocation Assistance:</b></p>
This role is not eligible for relocation<p><b><br>
Remote Type:</b></p>
This position is not available for remote working<p><b><br>
Skills:</b></p>
Adaptability, Authenticity, Communication, Continued Learning, Courage, Creativity and Innovation, Curiosity, Decision Making, Digital fluency, Ethical judgement, Excellence, Group Problem Solving, Influencing, Knowledge Sharing, Listening, Managing volatility, Resilience, Self-Awareness, Stakeholder Engagement, Stakeholder Management, Understanding Emotions, Writing skills<p><b><br>
Legal Disclaimer:</b></p><p></p><p>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.<br>
<br>
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</p></div></div>

Data Analyst Intern

<div>
 <strong>
  Entity:
  <br/>
  <br/>
 </strong>
 Technology
 <br/>
 <br/>
 <strong>
  Job Family Group:
  <br/>
  <br/>
 </strong>
 Business Support Group
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <strong>
  Role Synopsis
  <br/>
  <br/>
 </strong>
 The Data Analyst plays a critical role in ensuring the integrity, usability, and integration of subsurface and wells data across platforms and teams. With a strong foundation in geoscience, Python programming, and database management, the analyst supports data quality initiatives, dashboard readiness, and cross-functional decision-making. This role is pivotal in enabling trusted data pipelines and analytics for planning, drilling, and operational efficiency across MENA assets.
 <br/>
 <br/>
 Key Accountabilities
 <br/>
 <br/>
 <li>
  Data Profiling &amp; Auditing:
 </li>
 <ul>
  <li>
   Identify missing, duplicate, or inconsistent data across subsurface and wells portfolios.
  </li>
  <li>
   Audit well headers, logs, casing depths, and time-depth curves to ensure data completeness and accuracy.
  </li>
 </ul>
 <li>
  Define Data Quality Rules:
  <br/>
  <br/>
 </li>
 Codify validation rules (e.g., log depth &lt; total depth, unit consistency).
 <li>
  Implement checks using SQL, EDM, Power BI, and Well Intel tools to support reliable reporting.
 </li>
 <li>
  Cleansing &amp; Validation:
 </li>
 <ul>
  <li>
   Standardize and correct log names, formation tops, mechanical values, and production data.
  </li>
  <li>
   Work across Petrel, Studio, OpenWorks, Fusion sheets, and Excel to ensure clean datasets.
  </li>
 </ul>
 <li>
  Data Integration:
 </li>
 <ul>
  <li>
   Merge and reconcile data across applications such as Petrel, PI System, Palantir, EDM, and SharePoint.
  </li>
  <li>
   Enable unified views for modeling, planning, and dashboarding.
  </li>
 </ul>
 <li>
  Dashboard Readiness:
 </li>
 <ul>
  <li>
   Prepare validated datasets for Power BI/Tableau with quality confidence tagging.
  </li>
  <li>
   Support creation of &ldquo;One Source of Truth&rdquo; dashboards for decision-makers.
  </li>
 </ul>
 <li>
  Auditability &amp; Metadata Management:
 </li>
 <ul>
  <li>
   Maintain data dictionaries, lineage records, and version tracking.
  </li>
  <li>
   Ensure traceability, compliance, and reproducibility of models and analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements &amp; Essential Education
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Data Science, Data Analytics, Computer Science, or Information Systems
  </li>
  <li>
   Omani citizen
  </li>
  <li>
   Minimum CGPA of 3.00
  </li>
  <li>
   Open for 2023, 2024, 2025 graduates
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Technical Skills
  <br/>
 </strong>
 <ul>
  <li>
   Python (Pandas, NumPy, Matplotlib/Seaborn)
  </li>
  <li>
   SQL (basic to intermediate query writing)
  </li>
  <li>
   Excel (Pivot Tables, Lookups, formulas)
  </li>
  <li>
   Data Visualization (Power BI preferred; Tableau is a plus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and prioritization skills
  </li>
  <li>
   Ability to build relationships across Geoscience, Engineering, and IT disciplines
  </li>
  <li>
   Proven ability to implement data management best practices
  </li>
  <li>
   Willingness to learn and share knowledge
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirement
  <br/>
  <br/>
 </strong>
 No travel is expected with this role
 <br/>
 <br/>
 <strong>
  Relocation Assistance:
  <br/>
  <br/>
 </strong>
 This role is not eligible for relocation
 <br/>
 <br/>
 <strong>
  Remote Type:
  <br/>
  <br/>
 </strong>
 This position is not available for remote working
 <br/>
 <br/>
 <strong>
  Skills:
  <br/>
  <br/>
 </strong>
 Adaptability, Authenticity, Communication, Continued Learning, Courage, Creativity and Innovation, Curiosity, Decision Making, Digital fluency, Ethical judgement, Excellence, Group Problem Solving, Influencing, Knowledge Sharing, Listening, Managing volatility, Resilience, Self-Awareness, Stakeholder Engagement, Stakeholder Management, Understanding Emotions, Writing skills
 <br/>
 <br/>
 <strong>
  Legal Disclaimer:
  <br/>
  <br/>
 </strong>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
 <br/>
 <br/>
 If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
</div>


creative pack om

<p><b>Key Responsibilities:</b></p><ul><li>Design and develop databases and interactive dashboards to support decision-making.</li><li>Implement Business Intelligence (BI) solutions and integrate with various data sources.</li><li>Prepare digital performance reports, including digital transformation KPIs and service quality indicators.</li><li>Support predictive analytics and contribute to AI-related projects.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Information Systems, or related field.</li><li>At least 4 years of hands-on experience with BI tools (Power BI, Tableau, etc.).</li><li>Proficiency in data analysis languages such as SQL, Python, or R.</li></ul><p>Job Type: Contract<br/>Contract length: 12 months</p><p>Pay: RO600.000 - RO1,000.000 per month</p><p>Application Question(s):</p><ul><li>What is your salary expectation ? </li><li>What is your nationality ?</li></ul>

Data & Analytics Engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder led, profitable and growing. We are hiring
 <strong>
  Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 </strong>
 to join our teams building open source solutions for public cloud and private infrastructure.
 <br/>
 <br/>
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 <br/>
 <br/>
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 <br/>
 <br/>
 <strong>
  What your day will look like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
  </li>
  <li>
   Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
  </li>
  <li>
   Master distributed systems concepts such as observability, identity, tracing
  </li>
  <li>
   Work with both Kubernetes and machine-oriented open source applications
  </li>
  <li>
   Collaborate proactively with a distributed team of engineers, designers and product managers
  </li>
  <li>
   Debug issues and interact in public with upstream and Ubuntu communities
  </li>
  <li>
   Generate and discuss ideas, and collaborate on finding good solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we are looking for in you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional or academic software delivery using Python
  </li>
  <li>
   Exceptional academic track record from both high school and university
  </li>
  <li>
   Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  </li>
  <li>
   Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  </li>
  <li>
   Track record of going above-and-beyond expectations to achieve outstanding results
  </li>
  <li>
   Passion for technology evidenced by personal projects and initiatives
  </li>
  <li>
   The work ethic and confidence to shine alongside motivated colleagues
  </li>
  <li>
   Professional written and spoken English with excellent presentation skills
  </li>
  <li>
   Experience with Linux (Debian or Ubuntu preferred)
  </li>
  <li>
   Excellent interpersonal skills, curiosity, flexibility, and accountability
  </li>
  <li>
   Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  </li>
  <li>
   Thoughtfulness and self-motivation
  </li>
  <li>
   Result-oriented, with a personal drive to meet commitments
  </li>
  <li>
   Ability to travel twice a year, for company events up to two weeks long
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional skills that would be nice to have
  <br/>
  <br/>
 </strong>
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 <br/>
 <br/>
 <ul>
  <li>
   Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
  </li>
  <li>
   Hands-on experience with machine learning libraries, or tools.
  </li>
  <li>
   Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  </li>
  <li>
   Experience with public clouds (AWS, Azure, Google Cloud)
  </li>
  <li>
   Working knowledge of cloud computing
  </li>
  <li>
   Passionate about software quality and testing
  </li>
  <li>
   Experience working on an open source project
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer colleagues
  <br/>
  <br/>
 </strong>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 <strong>
  Canonical is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Mind Stream

<p>We&rsquo;re Hiring! | Data Migration Specialist &ndash; SAP &amp; Oracle ERP<br/>Location: Qatar<br/>Experience: 6&ndash;8 years (preferred)<br/>Duration: 1 year (extendable)<br/>Key Responsibilities:<br/>Participate as a Data Migration team member for SAP and Oracle ERP projects.<br/>Utilize SAP Data Services (BODS) and other ETL tools to extract, transform, and load data accurately.<br/>Assist in mapping, cleansing, and validating data from legacy systems to SAP or Oracle ERP.<br/>Support the development of data migration scripts, workflows, and batch jobs.<br/>Collaborate with functional and technical teams to ensure smooth and accurate data migration.<br/>Ensure data integrity, consistency, and compliance with project requirements.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have experience in SAP Data Services (BODS) for data migration projects?</li><li>Do you have experience with ETL tools for data extraction, transformation, and loading?</li><li>Have you worked on data migration projects for SAP or Oracle ERP systems?</li><li>Do you have experience in mapping, cleansing, and validating data from legacy systems?</li><li>Have you developed data migration scripts, workflows, or batch jobs?</li><li>Are you experienced in ensuring data integrity, consistency, and compliance during migration projects?</li><li>what is your current and expected salary? Notice period?</li></ul>

Data Migration Specialist –SAP & Oracle ERP

Petroleum Development Oman

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 About the Company
 <br/>
 <br/>
 Petroleum Development Oman is the leading exploration and production company in the Sultanate of Oman. The Company delivers the majority of the country's crude oil production and natural gas supply.
 <br/>
 <br/>
 Purpose of the Job
 <br/>
 <br/>
 Design new system solutions set-up, or modify, enhance or adapt existing systems, integrating new features or improvements in order to improve business efficiency and productivity. Candidate shall be able to analyse how well software, hardware and the wider IT system fit the business needs of PDO. Moreover, he/she shall be able to support process automation, build and maintain data systems &amp; construct datasets that are easy to analyze and support company requirements. He/She would drive any Data Integration and Migration, Compliance to Data Governance, Security, and Quality Assurance, Troubleshooting, Collaboration and Training, and Reporting. In this role, you need a high-level technical expertise and clear insights into IM business processes and System Data types lifecycle.
 <br/>
 <br/>
 Education &amp; Experience
 <br/>
 <br/>
 Qualifications: Bachelor Degree in IT disciplines, Computer Engineering, or Information Management System
 <br/>
 <br/>
 Experience: Minimum 4 years experience in E&amp;P, including minimum 3 Years experience in the same role, with strong knowledge of data system implementation in major capital projects,preferred knowledge of system data types and related processes. With Strong analytical skills, attention to detail, written and verbal communication, and Interpersonal skills.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications/Certification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Excel and RPA tools like PowerAutomate
  </li>
  <li>
   Business Intelligence Tools (Tableau, PowerBI .etc)
  </li>
  <li>
   Databases: MS SQL Server, Apache Cassandra, Oracle, Mongo DB
  </li>
  <li>
   Frameworks: .NET, ASP.NET MVC Core, Angular.
  </li>
  <li>
   Programming: C#, Java, JavaScript, Python, Swift, SQL, No-SQL, HTML, CSS
   <br/>
   <br/>
  </li>
 </ul>
 Main Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Liaise with external or internal stakeholders, analyse existing IT systems or business models
  </li>
  <li>
   Evaluate existing system interfaces, map and document legacy and new systems interfaces
  </li>
  <li>
   Very clear understanding of software development lifecycles, with ability to translate stakeholder
   <br/>
   <br/>
  </li>
 </ul>
 requirements into functional specifications
 <br/>
 <br/>
 <ul>
  <li>
   Perform regular system updates, patches, and backups to ensure data integrity and security.
  </li>
  <li>
   Lead data migration projects, ensuring data is accurately and securely transferred between systems.
  </li>
  <li>
   Develop Data Integration and exchange script, manage data integration processes, and ensure seamless data flow between systems including document testing schedules for complete systems, and oversee system implementation.
  </li>
  <li>
   Enforce data governance policies, and Monitor data quality metrics, ensure compliance with industry standards, legal requirements, and best practices
  </li>
  <li>
   Implement data quality control measures, including data validation, cleansing, and de-duplication.
  </li>
  <li>
   Implement and maintain data security protocols to protect sensitive information.
  </li>
  <li>
   Provide technical support for data management systems, addressing user issues and system errors.
  </li>
  <li>
   Collaborate with IT staff, data analysts, and business units to understand data requirements and optimize systems accordingly.
  </li>
  <li>
   Generate regular reports on system performance, data integrity, and other relevant metrics.
  </li>
  <li>
   Conduct requirements analysis and prepare and review specific proposals for modified or replacement systems
  </li>
  <li>
   Supervise solutions and related products development, interfacing closely with software vendors and
   <br/>
   <br/>
  </li>
 </ul>
 developers, and a variety of end users to ensure technical compatibility and user satisfaction
 <br/>
 <br/>
 <ul>
  <li>
   Manage system development projects, planning and working flexibly to deadlines, and ensuring that
   <br/>
   <br/>
  </li>
 </ul>
 budgets are adhered
 <br/>
 <br/>
 <ul>
  <li>
   Function as change manager, support users on change control and system updates, and provide
   <br/>
   <br/>
  </li>
 </ul>
 training and user manuals to new/updated system users, educate and encourage internal and external stakeholders to be collaborative.
 <br/>
 <br/>
 <ul>
  <li>
   Drive PDO digitalization improvements, and contribute to business excellence; promote IM value to
   <br/>
   <br/>
  </li>
 </ul>
 the business.
 <br/>
 <br/>
 <ul>
  <li>
   Understand, effectively define and monitor both internal and external organisational interfaces and
   <br/>
   <br/>
  </li>
 </ul>
 the roles and responsibilities within the section.
 <br/>
 <br/>
 <strong>
  Skills Required
  <br/>
  <br/>
 </strong>
 Other Job Details
</div>


IM System Specialist (Four Years Contract)

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Data & Analytics Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Data Migration Specialist –SAP & Oracle ERP

IM System Specialist (Four Years Contract)