business analyst

data analyst

ai architect

ai engineer

backend developer

data engineer

Confiz

<div>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.
Responsibilities:
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li>3-6 years of hands-on experience in Data Engineering particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</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), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) 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>

Data Engineer in Test

10Pearls

<div>Company Overview 
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good, and know how to balance the two.
Role
We are hiring for a Senior Data Engineer at 10Pearls responsible for designing, building, and optimizing scalable data pipelines and cloud-based data platforms. The role involves working with modern ETL/ELT tools, data warehouses, real-time data systems, and cloud storage solutions to support analytics and business intelligence initiatives. The engineer collaborates with cross-functional teams to develop reliable, high-performance data solutions using technologies such as Airflow, Snowflake, SQL Server, Python, dbt, and Azure services, while ensuring data quality, automation, and efficient CI/CD practices across production environments.
Responsibilities<ul><li>
Analyze large, complex datasets to extract key insights that inform strategic decision-making.</li><li>
Develop and maintain data models, dashboards, and reports to support business objectives.</li><li>
Apply statistical techniques and predictive modeling to drive business forecasts and performance analysis.</li><li>
Collaborate with data consultant teams to build scalable, reliable data pipelines and optimize data flows.</li><li>
Ensure data quality and integrity through best practices in data governance and validation processes.</li><li>
Partner with cross-functional teams (engineering, product, marketing) to understand data requirements and deliver customized insights.</li><li>
Present findings and actionable recommendations to senior leadership and non-technical stakeholders.</li><li>
Lead, mentor, and provide guidance to junior data analysts and team members.</li><li>
Manage multiple data projects, prioritize deliverables, and meet tight deadlines with high quality output.</li><li>
Implement CI/CD pipelines and version control for data workflows to ensure seamless deployment and collaboration.</li><li>
Stay up to date with the latest trends and technologies in data analytics and propose strategic improvements for ongoing data initiatives.</li><li>
Design, develop, and optimize interactive dashboards using visualization tools, ensuring clarity and usability for business users.</li><li>
Understand client needs and provide tailored, strategic solutions that align with business objectives.</li><li>
Build strong relationships by clearly communicating technical concepts and managing expectations.</li><li>
Actively participate in recruiting top technical talent for the team.</li></ul>
Requirements<ul><li>
5+ years of professional data engineering experience, including ownership of production pipelines that other teams depended on.</li><li>
ETL / ELT: deep experience with Airflow (DAG design, sensors, retries, backfills) and Airbyte (or equivalents like Fivetran, Meltano, or custom connectors).</li><li>
Data warehousing: strong hands-on experience with Snowflake and/or BigQuery, including performance tuning, partitioning/clustering, and cost optimization.</li><li>
Transactional databases: solid SQL Server experience covering schema design, indexing, query tuning, and CDC patterns.</li><li>
Real-time data: production experience with Firebase / Firestore or comparable real-time stores, and at least one streaming or message-bus technology (Kafka, Azure Service Bus, Pub/Sub, Kinesis).</li><li>
Programming: advanced SQL plus strong Python for data engineering; comfortable building reusable, tested, well-documented code.</li><li>
Modeling: fluency with dimensional and modern warehouse modeling, and with transformation frameworks such as dbt.</li><li>
Cloud storage: hands-on experience with Azure Storage (Blob/ADLS); comfort with AWS S3 or GCS is a plus.</li><li>
Experience working with CI/CD for data pipelines (GitLab CI or equivalent), including environment promotion and automated testing.</li><li>
Strong written and verbal communication in English.</li></ul>
Nice to Have<ul><li>
Experience supporting ML use cases: feature stores, training/serving skew, point-in-time correctness, and dataset versioning.</li><li>
Familiarity with Kubernetes-based data platforms and running Airflow on AKS or equivalent.</li><li>
Experience with data quality frameworks such as Great Expectations, Soda, or dbt tests at scale.</li><li>
Domain experience in supply chain, logistics, e-commerce, or warehousing.</li><li>
Familiarity with Azure AI Foundry data integration patterns</li></ul>
KXyUYsOEDi</div>

Staff/Senior Software Consultant - Data Engineer - Morning

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

ACTIVE8 WIRELESS

Working Days: Monday to Friday (Five days)Shift Timings: 9 PM to 6 AM (Night Shift)Location: Onsite &ndash; RJ Mall, 5th Floor, KarachiWe are seeking a highly skilled and detail-oriented Data Analyst to join our expanding Business Intelligence team. In this role, you will be responsible for transforming raw data into actionable business insights through robust data modeling, advanced analytics, and dynamic visualizations. The ideal candidate possesses deep expertise across the entire Power BI ecosystem, strong SQL development capabilities, and a proven track record of designing reliable ETL workflows. You will collaborate closely with cross-functional business units to understand their data needs, optimize existing data pipelines, and deliver intuitive enterprise dashboards that drive strategic decision-making.Key Responsibilities1. Business Intelligence &amp; Dashboard Development<ul><li>Design, develop, and maintain high-performance enterprise dashboards and interactive reports using Power BI.</li><li>Write complex, optimized DAX (Data Analysis Expressions) queries and measures to fulfill intricate business logic and analytical requirements.</li><li>Utilize M query language within Power Query to execute advanced data ingestion, cleansing, transformation, and structural reshaping.</li><li>Implement and manage end-to-end cloud infrastructure components, including Power BI Services, workspaces, applications, and DataFlows for self-service BI capabilities.</li></ul>2. Data Modeling &amp; Integration<ul><li>Design and implement scalable, efficient, and well-structured Power BI Data Models utilizing industry- standard Star and Snowflake schemas.</li><li>Establish seamless data connectivity and gateway configurations across diverse cloud and on-premise transactional data sources.</li><li>Develop, schedule, and monitor robust ETL (Extract, Transform, Load) workflows to ensure seamless data integration, preferably leveraging SQL Server Integration Services (SSIS).</li></ul>3. Database Development &amp; Query Optimization<ul><li>Write, debug, and optimize complex T-SQL queries, stored procedures, views, and user-defined functions within SQL Server.</li><li>Analyze database query execution plans and index structures to tune performance, minimize latency, and guarantee efficient processing of massive datasets.</li><li>Ensure strict data integrity, consistency, and governance standards across all database environments and downstream analytical layers.</li></ul>4. Ad-Hoc Analysis &amp; Collaboration<ul><li>Conduct rapid, intermediate-level data analysis and structural validations using Microsoft Excel (VLOOKUP/XLOOKUP, Pivot Tables, logical formulas, and data formatting) to support ad-hoc business inquiries.</li><li>Collaborate closely with business analysts, functional stakeholders, and IT infrastructure teams to map requirements into technical data specifications.</li><li>Document data dictionaries, model architectures, metrics definitions, and ETL deployment procedures to maintain an organized corporate data catalog.</li></ul>Required Skills &amp; QualificationsTechnical Competencies:<ul><li>Power BI Mastery: Deep, hands-on experience in Power BI Desktop and Service. Advanced proficiency in writing complex DAX functions, engineering efficient M queries, and architecting robust enterprise Data Models.</li><li>Power BI Admin/Service: Proven experience working with Power BI DataFlows, shared datasets, scheduled refreshes, row-level security (RLS), and workspace administration.</li><li>SQL Server Proficiency: Strong command of SQL Server management. Expert-level capability in writing and optimizing complex queries, troubleshooting performance bottlenecks, and managing schema objects.</li><li>ETL &amp; Data Integration: Practical experience designing, building, and maintaining automated data pipelines. Strong preference for candidates with SSIS (SQL Server Integration Services) expertise.</li><li>Microsoft Excel: Solid intermediate-level skills, including advanced formulas, Pivot Tables, conditional logic, and data structuring capabilities.</li></ul>Preferred / Nice-to-Have Skills:<ul><li>Python Programming: Foundational to intermediate knowledge of Python (specifically libraries such as Pandas, NumPy, or script integrations within ETL/Power BI) to perform automated scripting or advanced statistical data analysis.</li><li>Power BI (DAX &amp; M) Power BI DataFlows Data Modeling SQL Server (T-SQL) SSIS</li><li>Excel (Intermediate) Python (Preferred)</li></ul>Education &amp; Experience Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, Statistics, Finance, or a closely related quantitative discipline.</li><li>Minimum of 06 months of professional experience working strictly in a Data Analyst, BI Developer, or Data Engineer capacity within a data-driven environment.</li><li>Certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent database certifications are highly advantageous.</li></ul>Pay: Up to Rs60,000.00 per monthWork Location: In person

Data Analyst

Easy Recruitment PK

Job Description &ndash; Principal AI EngineerPosition: Principal AI Engineer Industry: Fintech / Banking Location: [Insert Location] Employment Type: [Full-Time/Contract]Job OverviewWe are seeking an experienced Principal AI Engineer with strong fintech or banking domain expertise to lead the architecture and implementation of enterprise-scale AI solutions. The candidate will drive AI innovation initiatives focused on digital banking transformation, intelligent automation, fraud prevention, customer intelligence, and operational efficiency.Key Responsibilities<ul><li>Lead architecture and development of enterprise AI/ML and Generative AI platforms.</li><li>Design scalable AI solutions for banking and fintech use cases including fraud detection, AML, customer insights, and automation.</li><li>Define AI strategy, technical standards, and engineering best practices.</li><li>Build and optimize LLM-based systems, AI agents, and intelligent automation frameworks.</li><li>Mentor engineering teams and provide technical leadership across AI initiatives.</li><li>Collaborate with stakeholders, compliance, and risk teams to identify AI opportunities.</li><li>Oversee deployment, governance, monitoring, and optimization of AI systems.</li><li>Ensure compliance with banking security, regulatory, and ethical AI standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or related field.</li><li>8&ndash;12+ years of experience in AI/ML engineering with leadership experience.</li><li>Mandatory experience in fintech, banking, or financial services domain.</li><li>Deep expertise in Python, TensorFlow, PyTorch, ML frameworks, and AI architecture.</li><li>Strong experience with LLMs, RAG, NLP, AI agents, and Generative AI ecosystems.</li><li>Hands-on experience with AWS, Azure, or GCP and MLOps practices.</li><li>Experience designing scalable enterprise AI systems and secure financial integrations.</li><li>Strong understanding of banking compliance, data governance, AML/KYC, and cybersecurity standards.</li><li>Excellent leadership, stakeholder management, and communication skills.</li></ul>Preferred Qualifications<ul><li>Experience leading AI transformation initiatives within banks or fintech organizations.</li><li>Knowledge of responsible AI, model explainability, and AI governance frameworks.</li><li>Experience with payment systems, digital banking platforms, or financial risk analytics.</li><li>Advanced AI certifications, publications, or patents are an advantage. Apply at faisal.khan@avanzasolutions.com</li></ul>Work Location: In person

Principal AI Engineer

VIION Technology (Viper Group)

Viper Group is looking for IT Support and Customer Service Engineer who will be responsible for handling day to day tasks related to Desktop, network and other office equipment troubleshooting and maintenance. Engineer will be handling the tasks on Viper's behalf at customer premises or its various offices.Duties and responsibilities: <ul><li>Key responsibilities include diagnosing and troubleshooting technical issues via phone, email, or chat, maintaining customer records in a ticketing system, escalating complex problems, and contributing to a knowledge base. Strong problem-solving, communication, and customer service skills are essential for this role, as is a good understanding of operating systems, networking, and various hardware and software.</li><li>Engineer will be required to travel / commute to different offices or may be resident at single location.</li><li>Preferred experience: 1 year</li><li>Good speaking and writing skills in English</li></ul>Timings are from 9:00AM to 6:00PM Monday to SaturdayJob Types: Full-time, Internship, FresherWork Location: In person

IT Support Engineer

COVERGO

<div>Top 3 Reasons To Join Us<ul><li>
Competitive Salary</li><li>
International Environment</li><li>
Working on the latest tech for the Insurtech Market Leader</li></ul>
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.<ul><li>
We are a leading global no-code insurance platform for health, life, and P&amp;C</li><li>
We&rsquo;re the winner of the Insurtech of the Year in all of Asia and other awards globally</li><li>
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more</li><li>
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world</li><li>
We are fully funded and backed by reputable VC funds and strategic institutional investors</li><li>
We have a global presence in Asia, EMEA and the Americas</li><li>
We&rsquo;ve grown our annualized revenue by over 30x since January 2021</li><li>
We&rsquo;re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world</li></ul>
What You Will Do<ul><li>
Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions</li><li>
Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages</li><li>
Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience.</li><li>
Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience</li><li>
Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality</li><li>
Investigate and promptly fix bugs to maintain the reliability of the platform</li><li>
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data</li><li>
Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative</li><li>
Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows</li><li>
Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals</li></ul>
What We Need<ul><li>
Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications</li><li>
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker</li><li>
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
</li><li>Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications</li><li>
Experience with microservices and/or clean architecture</li><li>
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code</li><li>
Experience with unit, integration and function testing using front-end and back-end testing libraries</li><li>
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains</li><li>
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations</li><li>
Demonstrated experience in performance optimization for high-traffic web applications</li><li>
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.</li><li>
Experience with agile development methodologies and collaborating with cross-functional teams</li><li>
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing</li><li>
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds</li><li>
A passion for staying updated with the latest trends, technologies, and best practices in software development</li></ul>
Why You'll Love Working Here<ul><li>
Competitive renumeration package</li><li>
International Environment</li><li>
15 days annual leave, 10 sick leaves, special leaves</li><li>
Annual Performance Bonus</li><li>
Stock Options after 6 months</li><li>
Company activities and events</li><li>
Learning and development plan</li></ul>
CoverGo Company Video
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Senior Full Stack Engineer (.NET & Vue/React) - Fully Remote, CET

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