devops engineer

ai engineer

ai/ml engineer

senior ai/ml engineer

senior data analyst

data engineer

ZIEL Global Private Limited

About the Role We&rsquo;re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.Key Responsibilities<ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Data Engineer

Confiz

<div>
 We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Assist in designing, building, and maintaining ETL/ELT data pipelines.
 </li>
 <li>
 Support data ingestion and integration from various source systems into cloud platforms.
 </li>
 <li>
 Write and optimize SQL and Python scripts for data transformation and processing.
 </li>
 <li>
 Work with senior engineers to ensure data accuracy, consistency, and reliability.
 </li>
 <li>
 Implement basic monitoring and logging to ensure data pipelines run smoothly.
 </li>
 <li>
 Document processes, workflows, and data models.
 </li>
 <li>
 Collaborate with stakeholders to understand requirements and deliver data solutions.
 </li>
 <li>
 Participate in code reviews and follow best practices in data engineering.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering
 </li>
 <li>
 2&ndash;3 years of experience in data engineering, data integration, or ETL development.
 </li>
 <li>
 Hands-on experience with SQL and Python.
 </li>
 <li>
 Basic knowledge of data modeling and ETL processes.
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).
 </li>
 <li>
 Understanding of version control tools (e.g., Git).
 </li>
 <li>
 Strong problem-solving skills and eagerness to learn new technologies.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a team.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM) and
 
 ISO 14001:2015
 
 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Datamatics Technology

<div>Position: BI Engineer (Tableau / MicroStrategy / Data Analytics) 
Experience Level: 7+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-time 
Industry Experience : Telecom<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking an experienced BI Engineer / Tableau Developer with a strong background in Business Intelligence, Data Visualization, and Analytics Engineering. The ideal candidate will have hands-on expertise in Tableau, MicroStrategy, QlikSense, Power BI, Teradata, SQL Server, and data governance. This role requires a blend of technical development, administration, performance optimization, and stakeholder engagement to deliver scalable, self-service BI platforms that empower data-driven decision-making.
The candidate should bring proven experience from telecommunications, financial services, and microfinance industries, with a track record of delivering impactful BI solutions, leading teams, and executing technology migration projects.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Analytics</h3><ul><li>
Design, develop, and maintain interactive dashboards and reports using Tableau, MicroStrategy, and QlikSense.</li><li>
Optimize BI extracts, data models, and performance for high efficiency and scalability.</li><li>
Conduct data analysis to support strategic decision-making and business initiatives.</li><li>
Collaborate with cross-functional teams to translate business requirements into BI solutions.</li></ul><h3 class="jobSectionHeader">
Tableau Development &amp; Administration</h3><ul><li>
Administer Tableau Server, including user management, roles, permissions, and governance.</li><li>
Implement best practices in dashboard design, data visualization, and performance optimization.</li><li>
Manage Tableau data sources, ensuring accuracy, consistency, and reliability.</li><li>
Troubleshoot and resolve BI/ETL performance and usability issues.</li></ul><h3 class="jobSectionHeader">
MicroStrategy Development &amp; Maintenance</h3><ul><li>
Develop and optimize MicroStrategy reports, dashboards, schema objects, and project architecture.</li><li>
Lead self-service BI initiatives to empower business users with advanced analytics tools.</li><li>
Ensure seamless integration of MicroStrategy with various databases (Teradata, SQL Server, Vertica, etc.).</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Technology Migration</h3><ul><li>
Support technology stack migrations (e.g., Teradata Vertica, SAP BO QlikSense).</li><li>
Maintain data pipelines, transformations, and semantic layers for BI systems.</li><li>
Ensure data integrity, governance, and compliance across reporting platforms.</li></ul><h3 class="jobSectionHeader">
Collaboration &amp; Leadership</h3><ul><li>
Lead BI/analytics projects and mentor junior team members.</li><li>
Engage with stakeholders to gather requirements, deliver insights, and drive adoption of BI tools.</li><li>
Document solutions, processes, and best practices for scalability and knowledge sharing.</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Competencies 
</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
BI Tools: Tableau, MicroStrategy, QlikSense, Power BI</li><li>
Databases &amp; ETL: Teradata, SQL Server, HP Vertica, Teradata Utilities</li><li>
Languages: SQL, DAX</li><li>
Design: Semantic Layer Design, SLJM</li><li>
Data Governance: Security roles, user management, data quality, compliance</li></ul><h3 class="jobSectionHeader"> 
Functional Skills</h3><ul><li>
Tableau dashboard development &amp; administration</li><li>
Data visualization best practices &amp; performance optimization</li><li>
Data source integration &amp; management</li><li>
Stakeholder engagement &amp; requirements gathering</li><li>
Troubleshooting, issue resolution, and process optimization</li></ul><h2 class="jobSectionHeader"> 
Industry Experience</h2><ul><li>
Telecommunications &ndash; Analytics, Reporting, Self-Service, Technology Migrations</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field.</li><li>
7+ years of hands-on experience in BI Development, Data Visualization, and Analytics Engineering.</li><li>
Proven experience leading BI projects and small teams.</li><li>
Strong communication and presentation skills for technical and non-technical stakeholders.</li></ul>
jGcQNmWv2k</div>

BI Engineer (Tableau / MicroStrategy / Data Analytics)

NCRI

<div>About Us
We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models. We&rsquo;re building intelligent systems to enhance customer experience, supercharge agent performance, and drive operational excellence.
Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation. Our platform powers decision-support tools and intelligent virtual agents, helping call centers deliver faster, smarter, and more human customer service&mdash;where every interaction matters.
As a Data/ML Engineer on our founding team, you&rsquo;ll design and maintain the pipelines that transform messy, real-world customer data into clean, reliable datasets. You&rsquo;ll also take ownership of training, deploying, and monitoring models that bring conversational AI into production. This hybrid role is ideal for someone who enjoys both building strong data foundations and shipping AI systems that scale. 
What You&rsquo;ll Do
 1. Data Engineering<ul><li>Design and maintain scalable pipelines to ingest, clean, and normalize omnichannel call center data (voice, chat, email, SMS).</li><li>Ensure high data quality, reliability, and accessibility for downstream ML and analytics.</li><li>Collaborate with data scientists to prepare annotated datasets for training and evaluation.</li></ul>
 2. Machine Learning Engineering<ul><li>Train, deploy, and monitor ML/LLM models in production (batch + real-time).</li><li>Implement model versioning, experiment tracking, and retraining pipelines.</li><li>Optimize inference for speed, scalability, and cost-efficiency.</li><li>Build feedback loops to continuously improve model performance.</li></ul>
 3. Collaboration<ul><li>Work closely with product, engineering, and data science teams members</li><li>Document and communicate your work clearly to both technical and non-technical stakeholders.</li></ul> 
What You Bring<ul><li>3&ndash;6 years of experience as a Data Engineer, ML Engineer, or similar hybrid role.</li><li>Deep expertise in NLP and LLMs.</li><li>Strong skills in Python and SQL.</li><li>Experience building ETL/ELT pipelines with tools like Airflow, dbt, or Spark.</li><li>Hands-on experience training and deploying ML models (e.g., scikit-learn, PyTorch, TensorFlow).</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>Knowledge of MLOps practices (model monitoring, experiment tracking, CI/CD for ML).</li><li>Comfort working with messy, real-world, multi-channel data.</li></ul> 
Bonus Points For<ul><li>Experience in or knowledge of the call centre / contact centre space.</li><li>Familiarity with voice-to-text models, real-time analytics, or conversation intelligence.</li><li>MLOps experience (e.g., model versioning, monitoring, CI/CD).</li></ul></div>

Machine Learning Engineer

IGATE

<div>As a BI Developer, you will be responsible for designing, developing, and maintaining our data integration processes. You will ensure data quality, create standardized reporting frameworks, and support our business teams with self-service visualization and insights. This role requires a blend of technical expertise, analytical thinking, and storytelling abilities to communicate insights effectively.
Key Responsibilities:
Data Engineering:
Design and implement data integration workflows (ELT) to consolidate data into a single source of truth.
Perform data standardization and cleansing to ensure data integrity and quality.
Develop aggregations and calculations for key performance indicators (KPIs) to support reporting needs.
Data Modeling:
Create and maintain dimensional models to support efficient reporting and analytics.
Standardize data structures to enhance usability and accessibility across teams.
Reporting and Visualization:
Develop descriptive reports and dashboards using BI tools, ensuring alignment with business objectives.
Enable self-service data visualization capabilities for end-users.
Provide training and support to business teams on BI tools and processes.
Business Analysis:
Collaborate with product, growth, and other departments to understand their data needs and provide insightful analysis.
Utilize storytelling techniques to convey complex data insights and support commercial, financial, and strategic decision-making.
Quality Assurance:
Conduct testing and validation of data processes to ensure accuracy and reliability.
Manage release processes for BI solutions, ensuring smooth transitions and minimal disruption.
Requirements<ul>
<li>
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.</li>
<li>Proven experience as a BI Developer, Data Engineer, or similar role.</li>
<li>Proficiency in data integration tools and ETL processes.</li>
<li>Strong knowledge of data modeling concepts and dimensional modeling.</li>
<li>Experience with Power BI</li>
<li>Solid understanding of SQL and data manipulation techniques.</li>
<li>Familiarity with quality assurance methodologies and testing frameworks.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication skills, with the ability to tell compelling stories with data.</li>
</ul>
Benefits<ul><li>Fuel Allowance</li></ul>
 Medical Insurance
 Free Lunch Facility (In-house)<ul><li>&#65039; GYM Passport (Panel Gym's Free of Cost)</li></ul>
 Participatory Fund
 Market Competitive Salary
 Learning &amp; Challenging Work Environment
&zwj; Amazing Work Culture
 Paid Time off
&zwj;&zwj;&zwj; Group Life Insurance<ul><li>Maternity Leaves and many more</li></ul></div>

Power BI Developer

S&P Global

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Senior Data Scientist

Danescor Corporation

<div>
 
 
 Summary:
 
 
 
 Danescor is a leader in the fast-developing market of Next Generation Internet Investment Banking (IIB) operating across the US and Europe providing investment banking services to mid-market corporates looking to acquire, sell or raise debt or equity finance. Since inception Danescor has achieved CAGR in excess of 120% and established itself as the &ldquo;Go To&rdquo; partner in many sectors within the technology and communications industries. Through its growing reputation and market presence Danescor has established strong trading relationships with many of the leading industry consolidators and PE firms active in the industries it operates in.
 
 
 
 
 
 
 Role Description:
 
 
 
 In the role of a Data Analyst you will support our Data Science team, and possess a demonstrable track record of delivering data-driven insights and analytical support across complex projects. Successful candidates will have the technical and commercial acumen to support cross-functional teams, working across multiple sectors including UK and US markets. The role requires the ability to work independently and collaboratively with data scientists and business stakeholders, ensuring analytical deliverables are accurate, insightful, and aligned with project goals. The ideal candidate will be comfortable managing large datasets, producing clear dashboards and reports, and contributing to the design of scalable data solutions. Candidates should have experience juggling multiple priorities, ensuring data integrity, and driving measurable impact through thoughtful analysis.
 
 
 The successful candidate&rsquo;s role aligns directly with the Company&rsquo;s ongoing automation, scale, and operational intelligence.
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Automation:
 
 &nbsp;You will be required to support our roadmap to build scalable, reusable data pipelines for internal and external data delivery, decreasing time-to-insight.
 </li>
 <li>
 
 Platform and Data Product Maturity:
 
 &nbsp;You will be part of a team which provide reliable, real-time, and well-governed data as part of our core M&amp;A platform offerings.
 </li>
 <li>
 
 Systems Resilience and Sustainability:
 
 &nbsp;Reduce reliance on fragile tooling or one-off fixes, ensure a robust, production-grade data infrastructure.
 </li>
 <li>
 
 Cross-Team Enablement:
 
 &nbsp;Facilitates better integration between engineering and planning.
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Profile:
 
 
 <ul>
 <li>
 
 Skills:
 
 &nbsp;Python, SQL, Pandas, Azure Automations tools (Power Apps, Power Automate), Linux/shell scripting.
 </li>
 <li>
 
 Experience:
 
 &nbsp;2&ndash;3 years in data-focused roles, preferably in analytics or automation.
 </li>
 <li>
 
 Traits:
 
 &nbsp;Proactive, systems thinker, excellent communicator, strong problem-solver.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Recommend internal process improvements for scalability, optimizing data delivery, and automating manual processes.
 </li>
 <li>
 You will be required to collaborate with internal business partners and provide regular updates and reports on assigned tasks.
 </li>
 <li>
 Create and customize SharePoint lists and forms using Power Apps to optimize data collection with business logic and dynamic user interfaces. Support planning staff with data management, analysis, and research.
 </li>
 <li>
 Identify opportunities for streamlining and automating existing data systems. Improve automation of data acquisition.
 </li>
 <li>
 Develop and update public-facing data, including the main company platforms.
 </li>
 <li>
 Create data collection pipelines for various reporting requirements.
 </li>
 <li>
 Automate business processes and workflows using Microsoft Power Automate
 </li>
 <li>
 Create data visualizations and reports using Power BI
 </li>
 <li>
 Facilitate data integration and analysis by applying data standards, ontologies, and metadata.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills, and Abilities:
 
 
 <ul>
 <li>
 Ability to write and present technical information clearly.
 </li>
 <li>
 Knowledge of Microsoft Office Suite (Word, PowerPoint, Excel, Outlook).
 </li>
 <li>
 Familiarity with programming languages like Python, SQL, or R.
 </li>
 <li>
 Ability to apply logical thinking to solve complex problems.
 </li>
 <li>
 Background in data mining and statistical analysis.
 </li>
 <li>
 Proficiency in Python and libraries such as NumPy, Pandas, Polars.
 </li>
 <li>
 Intermediate experience with databases and query languages like SQL.
 </li>
 <li>
 Experience with Linux, shell scripting, and Azure Apps
 </li>
 <li>
 Strong problem-solving, organizational, and communication skills.
 </li>
 <li>
 Proficiency in English (reading, writing, and speaking).
 </li>
 </ul>
 
 
 
 
 
 Job Type:&nbsp;
 
 Full Time
 
 
 
 Job Location:&nbsp;
 
 Islamabad, Remote
 
</div>

Data Analyst (Islamabad)

Explore 413+ Data engineer in Islamabad this October. Find roles across top companies and apply now to boost your career.

413 data engineer jobs IN Islamabad

Data Engineer

Data Engineer

BI Engineer (Tableau / MicroStrategy / Data Analytics)

Machine Learning Engineer

Power BI Developer

Senior Data Scientist

Data Analyst (Islamabad)