ai engineer

business analyst

data scientist

it support engineer

research analyst

data engineer

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers. 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!<div><div>
The Division: 
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</div><div>
The Position: 
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</div><div>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div>

Data Engineer

Polarity Holdings

Starting Salary: Rs 501,000 PKR / monthSchedule: U.S. Eastern, Monday through FridayLocation: 100% Remote, Full-TimeAbout the RoleFalcon Scaling and PolarityIQ build private capital markets intelligence products. Our clients are family offices, institutional LPs, fund managers, investment banks, and registered investment advisors. They pay premium prices for verified, decision-maker-level intelligence on capital allocators worldwide.We operate a commercially active library of more than two hundred data products spanning family offices, institutional investors, venture capital, private equity, fund of funds, mutual funds, real estate, and high net worth individuals. Our flagship products include Family Office MAX (25,000+ executives across 10,000+ family offices) and LP MAX Bundle (80,000+ contacts across 17,000+ institutional LPs representing over $2 trillion in AUM).The Senior Data Engineer (Full Chain Builder) owns Project NOVA: the three-stage production pipeline that acquires records at scale, enriches them to the granularity capital allocators will pay for, and activates them inside PolarityIQ through agentic retrieval that surfaces signals autonomously.This is hands-on, high-autonomy work. You will build original scraping pipelines, architect multi-provider enrichment waterfalls, deploy production RAG systems, and build the agentic retrieval layer across our intelligence library. You ship products paying customers rely on, not internal demos.Before You ApplyIf your resume does not name a specific client, a real user volume, and what breaks when your system goes down: do not apply.If you have not deployed at least one production RAG system that a non-technical user relied on: do not apply.If Claude Code is not already part of your daily workflow, this role will move too fast for you.CompensationStarting salary is Rs 501,000 PKR per month. The role includes a revenue-sharing component tied directly to your contributions. You are paid weekly, on time.Strong performers regularly see total earnings scale meaningfully within the first four to eight weeks, with continued upside as contributions compound. On-target monthly earnings can exceed Rs 1,000,000 PKR within six to eight months.How You Enter &mdash; The 30-Day SprintThis role begins with a paid, deliverable-based 30-Day Build and Monetization Sprint at Rs 501,000 per month. You do not need to leave your current position. You operate on your own schedule, deploy existing products against real demand, and report what happens when your work meets the market.This is not a trial period. It is a real operating environment. At day 31, both sides hold 30 days of evidence. You will know whether the earnings trajectory and autonomy are real. We will know how you operate under real conditions.What You'll OwnAcquire &mdash; Sourcing and Scraping<ul><li>Build scraping pipelines against family office sites, regulatory filings, SEC EDGAR, state corporate registration databases, and professional networks.</li><li>Handle production anti-bot environments &mdash; Cloudflare, DataDome, PerimeterX &mdash; through residential proxies, CAPTCHA solvers, and stealth browser configurations.</li><li>Orchestrate recurring scraping with Apache Airflow, Prefect, or equivalent. Scheduled, monitored, recoverable.</li><li>Validate sourced records against schema contracts using Pydantic or equivalent. Every record passes the validation gate before entering the pipeline.</li></ul>Enrich &mdash; Multi-Provider Waterfalls<ul><li>Build and manage multi-source enrichment waterfalls using Clay.com, Apollo, Hunter, People Data Labs, Clearbit, and similar platforms.</li><li>Know the cost, coverage, and reliability tradeoffs between providers field by field. Build waterfalls that minimize cost while maximizing coverage.</li><li>Add granularity dimensions that matter: decision-maker layer, investment thesis, activity signals, relationship graph, structural classification, validation metadata.</li><li>Apply data hygiene principles across all pipelines: bounce rates, email verification, contact scoring, stale record detection.</li><li>Operate orchestration tooling that lets enrichment chains run end-to-end without manual stitching: n8n, Apache Airflow, Prefect, Make, or equivalent. The waterfall is one workflow, not a sequence of disconnected scripts.</li><li>Build cost-efficient pipelines that scale without proportional cost growth.</li></ul>Activate &mdash; Agentic RAG and RetrievalPolarityIQ's core intelligence layer is built on RAG. This is not experimental. It is the foundation of how our platform transforms raw family office data into queryable, actionable intelligence.<ul><li>Architect end-to-end RAG systems: document ingestion, chunking strategy, embedding model selection, vector database architecture, retrieval pipeline design.</li><li>Select and justify vector database choices (ChromaDB, Pinecone, Supabase pgvector, Weaviate, or equivalent) based on cost, latency, and scale requirements.</li><li>Implement hybrid retrieval strategies combining semantic vector search with keyword matching (BM25) for higher relevance and accuracy.</li><li>Build retrieval evaluation loops. Assess whether your system returns accurate, grounded results and diagnose when it does not.</li><li>Design and deploy autonomous AI agents using LangChain, CrewAI, or equivalent frameworks. Agents that gather, validate, and synthesize intelligence across data sources.</li><li>Integrate agentic workflows into the PolarityIQ platform so users receive signal delivery, not just search results.</li></ul>Database Architecture<ul><li>Own the architecture, integrity, and growth of PolarityIQ's core intelligence database.</li><li>Design and manage relational schema across Supabase/PostgreSQL, ensuring normalization, indexing, and query performance at scale.</li></ul>Technical StackScraping and AcquisitionScrapy, Playwright, curl_cffi, BeautifulSoup, Requests. Apify, Phantombuster, Browse AI at production scale. Anti-bot fluency: Cloudflare, DataDome, PerimeterX (named experience, not theoretical). Proxies: Bright Data, Oxylabs, Zyte, Smartproxy. CAPTCHA solvers: 2Captcha, Anti-Captcha, CapSolver. Orchestration: Apache Airflow, Prefect, AWS Lambda.EnrichmentClay.com as primary environment: tables, waterfalls, formulas, AI columns. Provider depth: Apollo, Hunter, People Data Labs, Clearbit, BetterContact, Cognism. Validation: Pydantic, Pandera, or Great Expectations applied to scraping output.RAG and Agentic SystemsProduction RAG deployment covering document ingestion, chunking, embeddings, hybrid retrieval, re-ranking, grounding. Vector databases: ChromaDB, Pinecone, Supabase pgvector, Weaviate. Agent frameworks: LangChain, CrewAI, LlamaIndex. LLM APIs: OpenAI, Anthropic Claude, Gemini, with understanding of cost, latency, and reliability tradeoffs.Claude Code &mdash; Non-NegotiableYou operate Claude Code in terminal-based, agentic workflows. Not as a code completer but as a development collaborator you direct, correct, and build with autonomously. You know its limits and call them without hand-holding.Development and InfrastructureBackend with Python, Node.js, or similar. SQL, relational schema design, query optimization. Managed platforms (Supabase, PostgreSQL). API integration (REST, GraphQL, webhooks). Git / GitHub.Who You AreThe technical skills matter. This section matters more.You take ownership before being asked. You measure yourself by outcomes, not activity. You are honest, even when it is uncomfortable. You are reliable, not occasionally but consistently. You are resourceful enough to treat every dollar spent like it is coming out of your own pocket.Your thought process is disciplined. You verify before you assert. You distinguish between facts, inferences, and conclusions, and you never conflate them. You test your assumptions before acting. You are willing to challenge your own hypotheses when the evidence points elsewhere.You use AI extensively but think independently first. Claude Code feels like a natural extension of how you work. You know when it is wrong, when it is shallow, and when to apply the human layer of judgment no prompt can replicate.You communicate in flawless English. Your first draft should be publishable. You do not require heavy editing cycles.Job Type: Full-timePay: Rs501,000.00 per monthEducation:<ul><li>Master's (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Senior Data Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
7A69crohYg</div>

Senior Data Engineer (AWS)

Mashreq

<div>
 Data &amp; Analytics Driven Organization: One Data Analytics &amp; AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale &amp; Ops Data team is a stream within One Data Organization driving this agenda for Wholesale &amp; Ops Banking function.
 
 
 - Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 
 - This role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
 
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 
 - The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
</div>

Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

Jeeny

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
Job Brief: 
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences. 
 
Responsibilities:<ul><li>
Explore, clean, and analyze high-volume datasets.</li><li>
Develop predictive models</li><li>
Build dashboards and automated reports to track marketplace health</li><li>
Work with product and operations teams to define data requirements and design A/B experiments.</li><li>
Implement and monitor machine learning models in production with guidance from senior team members.</li><li>
Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>
At least 3 years of relevant experience.</li><li>
Strong Python (pandas, numpy, scikit-learn etc).</li><li>
Solid understanding of statistics, probability, and hypothesis testing.</li><li>
Familiarity with SQL and relational databases.</li><li>
Exposure to machine learning concepts and practical modeling projects.</li><li>
Excellent problem-solving and communication skills.</li></ul>
Nice to Have<ul><li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li><li>
Knowledge of geospatial analysis or real-time data streaming.</li></ul> 

Benefits 
What we offer:<ul><li>
Market Competitive Salary
 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li><li>
Learn &amp; Grow
 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li><li>
International Exposure
 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li><li>
Health Insurance
 
Full health coverage so you can focus on your goals with peace of mind.</li><li>
OPD Coverage
 
Outpatient visits? We&rsquo;ve got that covered for you.</li><li>
End of Service Benefit
 
Loyalty pays off, long-term service comes with financial rewards.</li><li>
Dollar Adjustment Allowance
 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li><li>
Internet Allowance
 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li><li>
Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li><li>
Learning &amp; Development Allowance
 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 
Company Culture 
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

Data Scientist

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief:
 
 
 
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Explore, clean, and analyze high-volume datasets
 </li>
 <li>
 Develop predictive models
 </li>
 <li>
 Build dashboards and automated reports to track marketplace health
 </li>
 <li>
 Work with product and operations teams to define data requirements and design A/B experiments
 </li>
 <li>
 Implement and monitor machine learning models in production with guidance from senior team members
 </li>
 <li>
 Document methodologies, code, and analysis for reproducibility and knowledgesharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 At least 3 years of relevant experience
 </li>
 <li>
 Strong Python (pandas, numpy, scikit-learn etc)
 </li>
 <li>
 Solid understanding of statistics, probability, and hypothesis testing
 </li>
 <li>
 Familiarity with SQL and relational databases
 </li>
 <li>
 Exposure to machine learning concepts and practical modeling projects
 </li>
 <li>
 Excellent problem-solving and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
 </li>
 <li>
 Knowledge of geospatial analysis or real-time data streaming
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

ibex

<div>
 
 
 Job Purpose:
 
 
 
 ibex on behalf of its Global client seeking a versatile Analytics &amp; BI Specialist to join European Compliance Analytics team. This role provides crucial analytical support for EU Compliance team, working on key projects to support recurring &amp; ad hoc regulatory reporting, annual product oversight and governance, and conduct analysis to assess product performance, identify areas for improvement, and enhance customer outcomes, including more advanced and AI-enabled analytical work.
 
 
 
 
 
 You will be an analytics &lsquo;all-rounder&rsquo;, supporting both back-end data transformation and front-end analysis and visualization. A key part of your role will be assisting our team with delivering AI-driven analytics solutions into production. The ideal candidate is technically skilled, collaborative, and passionate about using data to solve complex business problems.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 
 Stakeholder Collaboration:
 
 work closely with business stakeholders and lead analysts to understand project requirements and help translate business needs into technical solutions
 </li>
 <li>
 
 Project Support:
 
 assist in the end-to-end delivery of analytics projects, from requirements gathering and data exploration to building, testing, and deploying solutions
 </li>
 <li>
 
 Data Modelling:
 
 contribute to the design, build, and maintenance of scalable and efficient data models using dbt and Microsoft Fabric semantic models and be confident working with large, complex and imperfect datasets
 </li>
 <li>
 
 BI &amp; Visualization:
 
 develop, maintain, and enhance dashboards and reports in Tableau and Power BI to provide actionable insights for the Compliance team
 </li>
 <li>
 
 Data Analytics:
 
 write complex and efficient SQL queries and Python scripts to extract, manipulate, and analyze large datasets to answer specific business questions
 </li>
 <li>
 
 Insight Generation:
 
 perform deep-dive analyses to identify trends, inefficiencies, and opportunities for improvement, presenting findings clearly to the team
 </li>
 <li>
 
 Data Governance:
 
 help champion data quality and consistency, ensuring that data is accurate, well-documented, and trusted by the business and support in the triaging of data governance tickets for the Data Governance Forum
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 Proven experience in data analytics, business intelligence or related role
 </li>
 <li>
 Bachelor&rsquo;s degree
 
 required
 
 in Mathematics, Economics, Statistics, Finance, Engineering, or any quantitative background
 </li>
 <li>
 4-5 years&rsquo; experience in data analytics, business intelligence, or related role
 </li>
 <li>
 Advanced SQL skills and proven working experience in data extraction, transformation and complex querying
 </li>
 <li>
 Strong experience with a modern BI visualization tool (e.g. Power BI, Tableau)
 </li>
 <li>
 Strong Python skills with proven experience in automation, scripting and advanced data analysis, including supporting machine learning and AI-based applications
 </li>
 <li>
 Demonstrable experience in data modelling
 </li>
 <li>
 Excellent communication and interpersonal skills; you must be comfortable handling &lsquo;client-facing&rsquo; or stakeholder conversations to understand requirements and present findings
 </li>
 <li>
 A strong analytical mindset with a high degree of business acumen and a proactive, problem-solving attitude
 </li>
 <li>
 Ability to manage multiple tasks and contribute to several projects simultaneously in a dynamic environment
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Specific experience with Power BI and writing DAX measures
 </li>
 <li>
 Experience with dbt for data transformation
 </li>
 <li>
 Familiarity with the Microsoft Fabric ecosystem
 </li>
 <li>
 Experience with building AI agents
 </li>
 <li>
 Knowledge of data warehousing concepts and cloud data platforms
 </li>
 </ul>
</div>

BI & Data Analytics Specialist

Explore 627+ Data engineer in Karachi this May. Find roles across top companies and apply now to boost your career.

627 data engineer jobs In Karachi

Data Engineer

Senior Data Engineer

Senior Data Engineer (AWS)

Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

Data Scientist

Data Scientist

BI & Data Analytics Specialist