business analyst

devops engineer

data analyst

software engineer

data scientist

data engineer

Caregenix Solutions

We're Hiring: ETL Engineer (Remote &ndash; Full Time)Company: CareGenix SolutionsLocation: RemoteExperience: 3+ YearsType: Full-TimeCaregenix Solutions, a fast-growing healthcare tech company, is seeking a skilled ETL Engineer to design and maintain robust data pipelines that power real-time insights and analytics.Key Responsibilities:Build and manage scalable ETL/ELT pipelines using AWS services (Glue, Lambda, S3, EMR, Redshift, etc.).Design and optimize data models and databases (Redshift, Athena, RDS).Ingest data from diverse sources and ensure quality through validation checks.Collaborate with teams to deliver reliable, insight-driven data solutions.Monitor pipeline performance and troubleshoot as needed.Follow best practices for data security and governance.Requirements6+ years in Data Engineering or similar roles.Strong in SQL and Python or Scala.Hands-on experience with AWS data tools: Glue, Redshift, EMR, Athena, Kinesis, etc.Experience with workflow/orchestration tools (Airflow, Step Functions).Solid knowledge of data warehousing, performance tuning, and big data.Familiarity with CI/CD, Git, and IaC tools (Terraform, CloudFormation).Bachelor&rsquo;s in Computer Science, Engineering, or related field.To Apply Send your resume to careers@caregenix.solutionsSubject Line: ETL EngineerBe part of a team transforming healthcare through data. We&rsquo;d love to hear from youJob Type: Full-timePay: Up to Rs400,000.00 per monthApplication Question(s):<ul><li>what is your expected pay?</li></ul>Experience:<ul><li>Data/ ETL : 2 years (Required)</li></ul>Work Location: Remote

Data Engineer

Binary Brix 

Data Engineer (Remote)Experience: 4&ndash;5 years | Job Type: Full-Time | Location: RemoteWe are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and architectures for our next-gen data-driven SaaS platform. This role is fully remote and ideal for someone passionate about big data, cloud platforms, and analytics.Key Responsibilities<ul><li>Build, maintain, and optimize ETL/ELT pipelines for large-scale data processing.</li><li>Work with structured &amp; unstructured data from multiple sources.</li><li>Develop and manage data warehouses and data lakes.</li><li>Ensure data quality, governance, and security.</li><li>Collaborate with data scientists, analysts, and software teams to deliver insights.</li><li>Monitor performance and troubleshoot data pipelines.</li><li>Integrate solutions with cloud platforms (AWS, Azure, GCP).</li></ul>Required Skills &amp; Experience<ul><li>4&ndash;5 years in data engineering or related roles.</li><li>Strong Python, SQL, and scripting skills.</li><li>Experience with ETL/ELT tools (Spark, Airflow, Databricks).</li><li>Hands-on with cloud data platforms (AWS, Azure, GCP).</li><li>Familiarity with data warehouses (Snowflake, Redshift, BigQuery).</li><li>Knowledge of streaming platforms like Kafka is a plus.</li></ul>Nice to Have<ul><li>DBT or other data transformation frameworks.</li><li>CI/CD for data workflows.</li><li>Exposure to ML pipelines.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: Remote

Pivotize Consulting

Position Overview:We are seeking a experienced Data Engineer to join the team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary for our data initiatives, ensuring scalability, reliability, and efficiency. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure the reliability and scalability of our data systems.Key Responsibilities:&middot; Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from disparate sources into SQL Server databases.&middot; Write complex SQL queries, stored procedures, and optimize database performance for large-scale datasets.&middot; Develop and implement efficient data models to support analytical and reporting requirements.&middot; Design, implement, and optimize database structures, stored procedures, queries, and views for performance and scalability.&middot; Design and implement database schemas, tables, indexes, Triggers and constraints to ensure efficient storage and retrieval of data.&middot; Perform database debugging, troubleshooting, and bug fixing to identify and resolve issues related to data integrity, performance, and functionality.&middot; Troubleshoot and resolve database issues, including performance bottlenecks, data corruption, and system errors.&middot; Collaborate with cross-functional teams, including software developers, analysts, and business stakeholders, to gather requirements and implement database solutions.&middot; Implement security measures and access controls to protect sensitive data stored in SQL Server databases, in compliance with regulatory requirements and industry best practices.Requirements:&middot; Degree in Computer Science, Engineering, or a related field.&middot; Strong expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, performance optimization).&middot; 5+ years of experience as a Data Engineer or similar role, with a strong background in data warehousing, ETL, and database technologies.&middot; Can demonstrate experience working with large and complex data sets as well as experience analyzing volumes of data.&middot; Experience with monitoring and optimizing database performance in production environments.&middot; Familiarity with cloud-based data architecture and pipelines.&middot; Strong problem-solving, analytical, and debugging skills.&middot; Ability to analyze complex data sets and design scalable data solutions.&middot; Excellent communication and collaboration skills.Job Type: Full-timePay: Rs180,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>what is your current salary?</li><li>what is your expected salary?</li><li>What is your notice period?</li><li>Since it's an onsite role, would you be able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

MOBIZ

<div>About Mobiz

Mobiz is an information technology firm, and we do three things exceptionally well: cloud and network automation, digital transformation, and data protection. Double-digit growth year-over-year has driven us to grow our team and ensure we stay ahead of the curve. 
What Can You Expect?

Every day at Mobiz we work with a deep sense of purpose. We continuously innovate. Our mission is to empower our clients to do more through transformation. You&rsquo;ll work in a collaborative environment alongside highly talented people that improve client operations and exceed expectations. We strive to simplify technology challenges, and no less. 


Who Are We Looking For?

We are looking for a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and operating scalable, secure, and high-performing data solutions that enable analytics, reporting, and data-driven decision-making across the organization. You will collaborate closely with cross-functional teams and leverage modern cloud technologies to transform raw data into trusted, accessible insights. 


Key Responsibilities
<ul>
<li>Design, build, test, deploy, and maintain robust data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric, supporting both batch and streaming workloads.</li>
<li>Ingest, integrate, and harmonize data from multiple cloud and on-premises sources to deliver a unified, reliable, and trusted data view for analytics and reporting.</li>
<li>Use Python and SQL to clean, transform, validate, and model data to meet business, reporting, and analytical requirements.</li>
<li>Contribute to data architecture and platform design decisions, ensuring solutions are scalable, secure, cost-effective, and aligned with long-term business and technical strategy.</li>
<li>Build and maintain metadata-driven pipelines that gracefully adapt to schema changes, new data sources, and evolving ingestion patterns.</li>
<li>Proactively identify data quality issues, pipeline failures, and performance bottlenecks; perform root-cause analysis and implement durable, long-term solutions.</li>
<li>Continuously optimize data pipeline performance, reliability, and scalability to ensure fast, consistent, and dependable access to data.</li>
<li>Implement automated data quality checks, validation rules, and monitoring dashboards to ensure accuracy, consistency, and trust in delivered datasets.</li>
<li>Monitor, analyze, and manage data pipeline and compute costs across Azure, Databricks, and Microsoft Fabric, recommending and implementing cost-optimization strategies without compromising performance or availability.</li>
<li>Automate routine and repetitive data engineering tasks, applying best practices for CI/CD, deployment, testing, and operational support.</li>
<li>Design, implement, and maintain secure data access controls using role-based access, audits, and governance best practices to ensure appropriate data security and compliance.</li>
<li>Maintain clear, accurate, and up-to-date technical documentation, and provide ongoing operational support as data platforms and business needs evolve.</li>
<li>Stay current with emerging data engineering technologies, cloud services, and analytics best practices, and evaluate new tools through proofs of concept when appropriate.</li>
<li>Collaborate closely with product managers, software engineers, analysts, and operations teams to embed high-quality data solutions into core business processes.</li>
<li>Promote and enforce data engineering best practices including version control, modular and reusable pipeline design, documentation standards, and scalable architecture patterns.</li>
<li>Enable and support data democratization by providing well-modeled, secure, and self-service-ready datasets through Power BI, Microsoft Fabric, or custom analytics solutions.</li>
<li>Deliver measurable outcomes such as highly reliable pipelines with minimal manual intervention, on-time pipeline execution within service windows, rapid resolution of critical incidents, and consistently high data quality.</li>
<li>Ensure reusable and standardized pipeline components are leveraged across teams to accelerate delivery, improve consistency, and reduce operational overhead.</li>
<li>Provide stakeholders with reliable, well-modeled datasets that can be confidently explored without requiring ongoing engineering support.</li>
<li>Ensure all data solutions comply with organizational security, access, and governance policies while maintaining positive feedback from internal and external users.</li></ul> 


 Required Skills &amp; Qualifications 
<ul>
<li>3&ndash;5 years of hands-on experience in data engineering or related roles, with proven experience building, supporting, and operating production-grade data pipelines.</li>
<li>Strong hands-on experience with Databricks, including development, optimization, and operational support of Databricks-based data solutions.</li>
<li>Proven experience with Azure Data Factory (ADF) and Microsoft Fabric for data ingestion, orchestration, and transformation.</li>
<li>Advanced proficiency in SQL for querying, data modeling, performance tuning, and troubleshooting.</li>
<li>Strong programming skills in Python for data transformation, automation, scripting, and pipeline development.</li>
<li>Hands-on experience with Microsoft Azure cloud services related to data storage, compute, networking, and security.</li>
<li>Solid understanding of ETL/ELT patterns, data integration strategies, and real-time or near-real-time data processing concepts.</li>
<li>Experience designing metadata-driven and reusable pipeline components that scale across multiple teams and projects.</li>
<li>Strong understanding of data governance, data quality frameworks, monitoring practices, and automated validation techniques.</li>
<li>Experience supporting high-availability data platforms with SLAs, monitoring, alerting, and incident response processes.</li>
<li>Demonstrated ability to optimize cloud compute usage and manage costs efficiently across Azure, Databricks, and Microsoft Fabric.</li>
<li>Experience using version control systems such as Git and following modern software engineering best practices.</li>
<li>Ability to design secure, scalable, and cost-effective data architectures aligned with business needs.</li>
<li>Strong analytical, problem-solving, and troubleshooting skills with a proactive and ownership-driven mindset.</li>
<li>Excellent communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.</li>
<li>Ability to work independently as well as collaboratively in cross-functional team environments.</li>
<li>High attention to detail with a strong focus on data accuracy, reliability, and documentation quality.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li>
<li>Relevant certifications are required or strongly preferred, including Databricks Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate, and Microsoft Certified: Fabric Data Engineer Associate.</li></ul> 


What We Offer
<ul>
<li>A team of bright, hard-working, and innovative people that will contribute to your growth.</li>
<li>Competitive Salary and comprehensive benefits plan.</li>
<li>A dynamic and collaborative work environment with opportunity to work with cutting-edge technology and innovative solutions.</li></ul> 


Other 
This is a full-time office based job in Islamabad, Pakistan. 
Closing

Mobiz embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. We are an equal opportunity employer.

We thank all applicants for their interest. We will contact you if you are selected to move forward in the recruiting process.</div>

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Thursday 30 July 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
The Data Engineer will focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers.
<div></div><div>Job Description</div><ul><li><div>
Must have -</div><div>
GCP big query, python</div><div>
Supports and enables others to use and benefit from existing data management systems.</div></li><li><div>
Highlights shortcomings and suggests improvements in current IT Security processes, systems and procedures within assigned unit and/or discipline.</div></li><li><div>
Supports others by performing prescribed product development/engineering activities (e.g., analysing client situations, interpreting data, etc.) using existing procedures.</div></li><li><div>
Supports others by performing prescribed project management activities following existing procedures.</div></li><li><div>
Navigates a wide variety of existing processes, procedures and precedents to interpret data and identify possible answers.</div></li><li><div>
Helps others use and benefit from the existing knowledge management systems.</div></li><li><div>
Assigns short-term work schedules to a team of subordinates in order to achieve expectations and follow established timelines.</div></li><li><div>
Works independently to collate and analyse data using pre-determined tools, methods and formats.</div></li><li><div>
Develops personal capabilities using existing formal and informal training opportunities, while also coaching others as required.</div></li><li><div>
Identifies shortcomings in existing processes, systems and procedures, then uses established change management programmes to deliver prescribed outcomes and/or provide support services.</div></li><li><div>
Investigates questions related to existing programmes, processes and procedures.</div></li><li><div>
Advises managers how to apply a wide variety of existing procedures and precedents.</div></li></ul></div>

Techbridge Consultancy Services

We are looking for a motivated Data Engineer with 3+ years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>3+ years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Work Location: In person

Squarera

Are you a passionate pioneer in technology? If so, consider an opportunity with SQUARERA with a full career path within the firm. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages.As a future Trainee Data Engineer, you should have the ability to share new ideas and collaborate within team. If you are detail-oriented, with excellent organizational skills and have some knowledge in this field, we&rsquo;d like to hear from you.Fresh graduates or done with their final semester candidates are encouraged to apply!Job Responsibilities:As a data engineer trainee, you will/may:<ul><li>Collect and process log events from multiple data sources to support the design, implementation, automation and deployment of our distributed system.</li><li>Design data schema and optimization of SQL/NoSQL database systems.</li><li>Work collaboratively in designing, development, and maintenance of ongoing metrics, reports, analyzes, and dashboards to drive key business decisions.</li><li>Monitor and troubleshoot operational or data issues in the data pipelines.</li><li>Develop visual automated data pipelines able to process millions of data points.</li><li>You will be responsible for the technical development of any new data integration solution to be plugged into the overall data architecture.</li><li>Undergraduates &amp; candidates outside of Karachi please do not apply.</li></ul>BASIC QUALIFICATIONS<ul><li>Currently enrolled in or will receive a Bachelor&rsquo;s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline.</li><li>Strong knowledge of SQL.</li></ul>Key Competencies:<ul><li>Attention to detail</li><li>Data collection, management, and analysis</li><li>Problem analysis and problem-solving</li><li>Planning and organizing</li><li>Decision-making</li><li>Teamwork</li><li>Ability to think and work independently</li></ul>Perks &amp; Benefits (After selection as a full-time employee)<ul><li>Travel Abroad Opportunities</li></ul>Note: The selected trainees would have:<ul><li>To sign an undertaking for 27 months</li><li>Medical Insurance</li><li>Annual Bonus</li><li>Yearly Increment</li></ul>Job Type: Full-timeWork Location: In person

Data Engineer - Trainee

Explore 2926+ Data engineer in Pakistan this February. Find roles across top companies and apply now to boost your career.

2926 data engineer jobs In Pakistan

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Trainee