152 Data Engineering jobs in Pakistan

Core Skills

• Data engineer with a solid technical background and banking experience in data-intensive systems (>7 years)
• Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow
• Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services
• Proficiency in relational SQL, Graph and NoSQL databases.
• Proficiency in Elastic Search and Couchbase databases
• In-depth skills in developing and maintaining ETL/ELT data pipelines.
• Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.
• Experience in workflow management tools such as Airflow, Oozie and CI/CD tools
• Data streaming solution in Kafka or Confluent Kafka
• Hands on experience in Google Big Query, Google Analytics & Clickstream Data Model
• Reporting knowledge in Power Bl, Tableau, Qlik etc.
• Sound in Data Management Fundamentals and Data Architect, Modelling, Governance
• Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions.
• Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration
• Knowledge of Advance Analytics and Al tools

Minimum BS Degree in CS, IT or Engineering
Banking Domain Knowledge will be a Plus.

Competitive Salary, Medical OPD & IPD, Life Insurance, EOBI

Overview:
We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.

This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.

Responsibilities:

• Define and deliver our data strategy - from core infrastructure to insights delivery
• Build and mentor a team of 2–5 data scientists and engineers
• Design and deploy predictive models, recommendation systems, and performance analytics
• Architect, deploy, and maintain scalable data pipelines and analytics tooling
• Own and scale robust data pipelines and ensure data integrity across business verticals
• Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
• Act as the go-to person for data strategy, experimentation, and insights
  
  
  
  
  

• 5–6 years of relevant experience in data science, engineering or analytics,
• At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
• Strong command of Python or R; strong SQL skills required
• Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
• Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
• Experience working cross functionally with business and product teams
• Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitality, Food and Beverage Services, and Retail

Referrals increase your chances of interviewing at Soum by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities:

• Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
• Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
• Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
• Drive cross-functional initiatives to improve monitoring, observability, and data quality.
• Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
• Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
• Monitor key AI performance metrics and implement strategies for optimization.
• Champion a culture of ownership, rigor, and continuous learning within the team.
• Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience.

Requirements:

• 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
• Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
• Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
• Strong analytical mindset and ability to dig deep into data to uncover insights.
• Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
• Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
• Proficiency in Python and SQL for data processing and reporting.
• Flexible to work across PK - US time zones

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Noticehere .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

GSPANN Technologies, Inc is hiring Azure Data Engineers with expertise in Site Reliability Engineering (SRE) to optimize and automate large-scale data applications. The role focuses on ensuring system reliability and performance using Azure data services such as Azure Data Factory, Azure Databricks, Azure Cosmos DB, and Power BI.

• Develop a deep understanding of the business and analyze the end-to-end customer journey.
• Collaborate with stakeholders to enhance the design, visibility, availability, scalability, and performance of services.
• Work closely with Data Engineering teams to implement necessary improvements and enhancements.
• Identify and escalate potential production-impacting issues proactively in collaboration with Engineering teams.
• Automate manual processes efficiently, conduct in-depth incident analysis, and drive blameless postmortems.
• Optimize alert management, decision-making, and performance analysis by leveraging standardized telemetry data.
• Assist in deployment, post-deployment monitoring, and dashboard/alert creation to track system changes effectively.
• Ensure adherence to critical company controls required for internal and external audit compliance.
• Develop value-proposition presentations, case studies, and accelerators to drive business impact.

• 8+ years of experience in software development, technical operations, and managing large-scale applications.
• 7+ years of hands-on experience with Azure Data Factory (API & API Management/APIM), Azure Databricks, Azure DevOps, Azure Data Lake Storage (ADLS), SQL, Synapse Data Warehouse, and Azure Cosmos DB.
• 5+ years of hands-on experience in Data Engineering and coding.
• Experience with data virtualization products like Denodo is desirable.
• Azure Data Engineer or Solutions Architect certification is a plus.
• Experience with container platforms such as Docker and Kubernetes, and periodic architectural assessments.
• Strong troubleshooting skills to quickly identify and resolve issues with minimal business impact.
• Experience handling high-volume, mission-critical applications.
• Familiarity with IT tools, techniques, systems, and solutions to drive operational excellence.
• Ability to lead triage calls with multiple technical stakeholders and communicate across teams.
• Ability to solve cross-functional issues creatively and adapt to changing priorities.
• Ability to manage escalations and take ownership to ensure timely resolution.
• Basic knowledge of DSML, AI/ML, and ML Ops.
• Familiarity with Azure Event Hub, IoT Hub, and Azure Application Insights.
• Knowledge of ITIL and ITSM tools.
• Understanding of SAP HANA and willingness to work in rotational shifts.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Location: Hyderabad / Gurugram / Pune / DNCR / Bangalore
• Experience: 7 - 8 Years
• Job function: Information Technology

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities:

• Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
• Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
• Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
• Drive cross-functional initiatives to improve monitoring, observability, and data quality.
• Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
• Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
• Monitor key AI performance metrics and implement strategies for optimization.
• Champion a culture of ownership, rigor, and continuous learning within the team.
• Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience.

Requirements:

• 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
• Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
• Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
• Strong analytical mindset and ability to dig deep into data to uncover insights.
• Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
• Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
• Proficiency in Python and SQL for data processing and reporting.
• Flexible to work across PK - US time zones

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here .

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote