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data engineer

NextGENi - A DotZero Company

<div>
 
 Job Details
 
 
 
 <ul>
 <li>
 Role: Data Engineer
 </li>
 <li>
 Location: Karachi (Hybrid 2+3)
 </li>
 <li>
 Experience: 4+ Years
 </li>
 <li>
 Type: Full Time
 
 
 </li>
 </ul>
 
 About NextGENi
 
 
 
 NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
 
 
 
 About The Role
 
 
 
 We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of ETL/ELT processes for data integration and transformation.
 </li>
 <li>
 Build and manage Data Lakes and Data Warehouses to support analytics and reporting.
 </li>
 <li>
 Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.
 </li>
 <li>
 Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
 </li>
 <li>
 Ensure data quality, integrity, and scalability across various data systems.
 </li>
 <li>
 Optimize and maintain data pipelines and processes to meet performance standards.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with ETL/ELT processes and data integration.
 </li>
 <li>
 Experience building and managing Data Lakes and Data Warehouses.
 </li>
 <li>
 Strong hands-on experience with Python, PySpark, and SQL
 </li>
 <li>
 Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.
 </li>
 <li>
 Strong communication skills with the ability to explain technical solutions.
 </li>
 <li>
 Ability to work independently and manage complex data engineering projects.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with dbt for data modelling/transformations
 </li>
 <li>
 Experience with reporting tools like Metabase or similar BI platforms
 </li>
 <li>
 Exposure to CI/CD or Infrastructure as Code.
 
 
 </li>
 </ul>
 
 Instructions to Apply
 
 
 
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo;
 
 
 
 Download a blank applicant form
 
 
 
 Download Form
 
 
 
 Disclaimer
 
 
 
 Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.
</div>

Data Engineer

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

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 the winner of the Best Tech Work Culture Timmy Award in Washington, D.C. 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 even high-growth start-ups. But those are just facts. What makes us unique is that we have a 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 seeking a skilled Data Engineer with strong expertise in Databricks and Snowflake to design, build, and optimize scalable data pipelines. You will work on high‑performance data processing workflows that support our platform, with a focus on real‑time analytics, large‑scale data transformations, and efficient data modeling. If you have experience with distributed data systems, cloud‑based data platforms, and modern data engineering best practices, we&rsquo;d love to hear from you. 
 
Responsibilities<ul><li>
Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse.</li><li>
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks.</li><li>
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation.</li><li>
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers.</li><li>
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments.</li><li>
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness.</li><li>
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs.</li><li>
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data.</li><li>
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets.</li><li>
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams.</li></ul><h2 class="jobSectionHeader">
Requirement</h2><ul><li>
8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling.</li><li>
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred).</li><li>
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments.</li><li>
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations.</li><li>
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation.</li><li>
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices.</li><li>
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines.</li></ul><h3 class="jobSectionHeader">
Nice‑to‑Have Qualifications</h3><ul><li>
Experience building or operationalizing ML models (propensity, churn, segmentation) within a data platform.</li><li>
Background in banking, financial services, or fintech data domains.</li><li>
Familiarity with Azure services (ADLS Gen2, Azure SQL, Databricks on Azure).</li><li>
Experience with multi‑tenant SaaS data architectures, including schema isolation and tenant‑aware partitioning.</li><li>
Exposure to data mesh concepts and domain‑oriented data ownership.</li><li>
Familiarity with Databricks Unity Catalog, Auto Loader, or Databricks Workflows.</li><li>
Experience with Linear, GitHub Actions, or similar project management and CI/CD tooling.</li></ul>
SxdPau6ofa</div>

Senior Software Consultant - Databricks / Snowflake - Afternoon

Confiz

<div>We are seeking an experienced engineer to design and implement a Quality Assurance (QA) framework for automated testing across our cloud-native, real-time, and batch data pipelines. The ideal candidate will have deep expertise in Python-based test frameworks, data validation at scale, and CI/CD integration, ensuring reliability, accuracy, and performance in our data platform.
Key Responsibilities
<ul><li>Design and develop a scalable automated data quality and testing framework for real-time (Kafka/Flink/Spark Streaming) and batch (PySpark) data pipelines.</li>
<li>Integrate automated data validation (schema checks, statistical profiling, anomaly detection) into data workflows using tools like Great Expectations, Deequ, or custom-built Python solutions.</li>
<li>Build test harnesses and reusable libraries for unit, integration, and regression testing of ETL pipelines and APIs.</li>
<li>Implement continuous testing pipelines integrated with CI/CD tools (Azure DevOps, GitHub Actions, or Jenkins).</li>
<li>Collaborate with data engineers to embed data quality gates within orchestration tools (Azure Data Factory / Airflow).</li>
<li>Define and monitor data quality KPIs, thresholds, and alerting using observability tools (Datadog, Prometheus, etc.).</li>
<li>Develop mock data generation and simulation frameworks for performance and stress testing.</li>
<li>Ensure comprehensive test coverage for schema evolution, transformation logic, and downstream data consumption APIs.</li>
<li>Contribute to best practices and documentation around test-driven data engineering and quality-first development culture</li>
<li>Have experience of Shift-Left Testing and Test-Driven Data Engineering</li>
<li>Integrate QA Framework with Orchestration and Monitoring Pipelines</li>
<li>Develop Synthetic Data Generators for Edge Cases and Negative Testing</li>
<li>Validate Schema Evolution and Backward Compatibility</li>
<li>Optimize Testing for Cost Efficiency</li>
<li>Ensure Stability of Every Release</li>
</ul>
Required Skills
<ul><li>Strong knowledge of data warehousing, lakehouse architectures, and data lake</li>
<li>Overall 6+ years of experience in data warehousing domain and 3+ in ETL testing and data quality</li>
<li>Strong Python development skills, emphasizing modular, testable, and reusable code.</li>
<li>Hands on knowledge of test automation tools and libraries for data warehouse solutions.</li>
<li>Expertise with data quality libraries such as Great Expectations, Deequ, Soda Core, or equivalent.</li>
<li>Solid understanding of SQL and ability to validate transformations over large-scale datasets.</li>
<li>Familiarity with Apache Spark (PySpark) and real-time data processing frameworks (Kafka, Flink, Spark Streaming).</li>
<li>Experience with Azure ecosystem (Data Factory, Databricks, Storage, Synapse).</li>
<li>Experience with CI/CD pipelines and automated testing workflows.</li>
<li>Exposure to monitoring and alerting for data quality metrics</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 Quality & Test Automation Framework Engineer

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

<div>Site Name: Pakistan - Sindh - Karachi 
Posted Date: Mar 3 2026 
Job Purpose
You will design and deliver data-driven solutions that improve how we connect with customers and measure impact. You will work closely with analytics, and commercial teams to build models, dashboards and reports. We value curiosity, clear communication, and a practical, outcomes-focused approach. This role offers growth, technical stretch and real impact as you help unite science, technology and talent to get ahead of disease together. 
 
Key Responsibilities<ul><li>
Build, validate and deploy predictive and descriptive models to answer business questions and guide decisions.</li><li>
Develop automated pipelines to collect, clean and transform data from multiple sources.</li><li>
Create sales specific dashboards and reports that make insights easy to understand for non-technical colleagues.</li><li>
Design and analyze A/B tests and other experiments to measure campaign and channel effectiveness.</li><li>
Work with data engineers, IT and stakeholders to ensure data quality, governance and operational readiness.</li><li>
Present insights, findings and recommendations clearly to cross-functional teams and senior stakeholders.</li></ul> 
Education, Experience &amp; Skills<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>
1 to 5 years experience working in data science, analytics, or related roles.</li><li>
Strong programming skills in Python or R and proficiency in SQL.</li><li>
Practical experience building machine learning models and productionising them.</li><li>
Experience with data visualisation tools such as Power BI, Tableau, or similar.</li><li>
Comfortable working on-site in Pakistan with a hybrid working pattern as agreed with your manager.</li><li>
Experience with cloud platforms such as Azure, AWS or Google Cloud.</li><li>
Familiarity with big data tools such as Databricks, Spark, or data engineering frameworks.</li><li>
Experience with CI/CD, automated testing and DevOps practices for data projects.</li><li>
Exposure to omnichannel, marketing analytics, customer segmentation or experiment design.</li><li>
Strong stakeholder management and experience communicating technical work to business audiences.</li></ul> 
What we value in you<ul><li>
A curiosity for solving messy, real-world problems with data.</li><li>
Clear and simple communication that helps others act on insights.</li><li>
Teamwork and respect for different perspectives.</li><li>
A pragmatic approach that balances rigor with delivering value quickly.</li><li>
A commitment to ethical use of data and strong data stewardship.</li></ul>
Why GSK? 
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Contact information: 
You may apply for this position online by selecting the Apply now button.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</div>

Data Scientist

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!
 
 
 
 The Division
 
 
 
 Perseus, an operating group of Constellation Software Inc., acquires, manages, and builds software businesses that provide specialized, mission-critical software solutions. Perseus companies seek to become leaders in their markets by improving their operations, growing through organic initiatives, and seeking acquisitions that can strengthen their market position.
 
 
 
 Role Summary
 
 
 
 Required BI and FP&amp;A professional who can bridge
 
 finance planning
 
 and
 
 data engineering/BI
 
 . Who can build and maintain
 
 forecasting and reporting
 
 solutions using
 
 SQL, databases, ETL pipelines, Power BI
 
 , and
 
 MOLAP-style dimensional models/cubes
 
 . Who will also help automate model refreshes via
 
 APIs
 
 , and explore
 
 AI-driven forecasting
 
 to improve accuracy and decision-making.
 
 
 
 Key Responsibilities
 
 
 
 
 FP&amp;A &amp; Business Partnering
 
 
 
 <ul>
 <li>
 Own and enhance key FP&amp;A deliverables: budgeting, rolling forecasts, variance analysis, and KPI tracking.
 </li>
 <li>
 Partner with stakeholders to translate business questions into data models, dashboards, and forecasts.
 </li>
 <li>
 Develop driver-based models (revenue, cost, cash, headcount) and support scenario planning.
 
 
 </li>
 </ul>
 
 Data, Databases &amp; SQL
 
 
 
 <ul>
 <li>
 Write and optimize SQL queries (complex joins, CTEs, window functions) to extract and transform finance data.
 </li>
 <li>
 Work with relational databases (e.g., SQL Server/Azure SQL/PostgreSQL) and ensure data integrity and reconciliation to source systems.
 </li>
 <li>
 Design reusable datasets/views for consistent reporting.
 
 
 </li>
 </ul>
 
 ETL (Mandatory) &amp; Automation
 
 
 
 <ul>
 <li>
 Build and maintain ETL pipelines to integrate data from ERP/CRM/banking/operational systems.
 </li>
 <li>
 Implement controls: validation checks, logging, exception handling, and automated scheduling.
 </li>
 <li>
 Document data flows and maintain data dictionaries.
 
 
 </li>
 </ul>
 
 MOLAP / Dimensional Modelling &amp; Cubes
 
 
 
 <ul>
 <li>
 Design and maintain dimensional models (facts/dimensions, star schemas) and MOLAP-style cubes.
 </li>
 <li>
 Define hierarchies, attributes, measures, and aggregation strategies to support fast analytical queries.
 </li>
 <li>
 Maintain semantic layers to ensure consistent definitions (e.g., Revenue, Gross Margin, ARR).
 
 
 </li>
 </ul>
 
 BI &amp; Reporting (Power BI)
 
 
 
 <ul>
 <li>
 Build executive-ready Power BI dashboards with strong performance, usability, and governance.
 </li>
 <li>
 Implement DAX measures, role-based access, and standardized reporting packs.
 </li>
 <li>
 Optimize refresh performance and dataset modelling best practices.
 
 
 </li>
 </ul>
 
 API Connections &amp; Model Refresh
 
 
 
 <ul>
 <li>
 Create API-based integrations to push/pull data and trigger cube/model refreshes.
 </li>
 <li>
 Work with authentication patterns (OAuth, tokens, service principals) and integration monitoring.
 
 
 </li>
 </ul>
 
 AI-Based Forecasting &amp; Modelling
 
 
 
 <ul>
 <li>
 Apply AI/ML techniques for forecasting (e.g., time-series, regression, ensemble approaches).
 </li>
 <li>
 Evaluate forecast accuracy, bias, and drift; build explainable insights for finance users.
 </li>
 <li>
 Prototype and productionize forecasting pipelines where appropriate.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience (Must Have)
 
 
 
 <ul>
 <li>
 3&ndash;6 years&rsquo; experience in a hybrid FP&amp;A + analytics/data role.
 </li>
 <li>
 Strong FP&amp;A fundamentals: forecasting, budgeting, variance analysis, management reporting.
 </li>
 <li>
 Solid experience with databases and SQL (advanced querying and optimization).
 </li>
 <li>
 Strong Power BI capability (data modelling + DAX + performance tuning).
 </li>
 <li>
 ETL experience is mandatory (building pipelines, validation, scheduling, documentation).
 </li>
 <li>
 Experience with dimensional modelling and MOLAP concepts (dimensions, hierarchies, cubes).
 </li>
 <li>
 Experience integrating data via APIs (REST, authentication, automated refresh/update patterns).
 </li>
 <li>
 Strong analytical thinking, stakeholder management, and ability to communicate financial insights clearly.
 
 
 </li>
 </ul>
 
 Preferred / Nice To Have
 
 
 
 <ul>
 <li>
 OneStream experience (implementation, administration, workflows, business rules, cube views).
 </li>
 <li>
 Experience with Microsoft Fabric / Azure Data Factory / SSIS / dbt / Airflow (or equivalents).
 </li>
 <li>
 Experience with SQL Server Analysis Services (SSAS), Jedox, or other OLAP/cube tools.
 </li>
 <li>
 Python/R for modelling, automation, and forecasting.
 </li>
 <li>
 Familiarity with finance systems (Dynamics GP/Business Central, NetSuite, Sage, SAP, etc.).
 </li>
 <li>
 Knowledge of data governance, lineage, and access controls.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Finance, Accounting, Economics, Data/Analytics, Computer Science, or similar.
 </li>
 <li>
 Relevant certifications are a plus (CIMA/ACCA/CPA, Power BI, Azure, OneStream).
 
 
 </li>
 </ul>
 
 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.
 
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Assistant Manager/Manager BI

Explore 539+ Data engineer in Gulistan E Johar Jobs In Karachi this March. Find roles across top companies and apply now to boost your career.

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Assistant Manager/Manager BI