software engineer

devops engineer

senior software engineer Jobs in Pakistan

senior software engineer

business analyst

data analyst

data engineer

Awesome Technologies Inc.

<p><b>Job Summary:</b></p><p>We are seeking a <b>Senior Data Engineer</b> with deep expertise in <b>SQL</b>, <b>database architecture</b>, and <b>performance optimization</b> to lead a critical initiative aimed at consolidating ~290 databases down to 60&ndash;65 streamlined and optimized systems. This is a highly technical, hands-on role requiring strong analytical thinking and proven experience in large-scale database restructuring projects.</p><p><b>Key Responsibilities:</b></p><ul><li>Lead and execute a large-scale <b>database consolidation</b> initiative, reducing 290 databases to approximately 60&ndash;65.</li><li>Evaluate existing database architecture and design optimal solutions to support consolidation and performance.</li><li>Write, optimize, and maintain complex <b>SQL queries</b> (preferably using <b>T-SQL</b>) for data migration, transformation, and restructuring.</li><li>Perform <b>indexing, performance tuning</b>, and query optimization to ensure minimal downtime and high system efficiency.</li><li>Work with <b>SSIS</b> and custom scripts to support data movement and integration between systems.</li><li>Use <b>Python</b> for automation, scripting, or handling data transformation workflows where applicable.</li><li>Collaborate with cross-functional teams, including DBAs, developers, and business analysts to ensure seamless data flow and integrity.</li><li>Provide ongoing support, troubleshooting, and documentation throughout the migration process.</li><li>Apply <b>best practices</b> in data engineering, security, and system design.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Must be good in English Communication</li><li>5+ years of experience as a <b>Data Engineer</b> or <b>Database Engineer</b> with a strong track record of managing complex, large-scale database environments.</li><li>Expert-level SQL skills, preferably <b>T-SQL</b>.</li><li>Deep understanding of <b>database architecture</b>, normalization, and optimization techniques.</li><li>Proven experience in <b>database restructuring or consolidation projects</b>.</li><li>Strong skills in <b>indexing</b>, <b>partitioning</b>, and <b>query performance tuning</b>.</li><li>Proficiency in <b>Python</b> for data handling, automation, or scripting tasks.</li><li>Experience with <b>Microsoft SQL Server</b> and tools such as <b>SSIS</b>.</li><li>Exposure to <b>Google Cloud Platform (GCP)</b> and cloud-based database solutions.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p><br /> <div id='job-id'>Job Id: BOSYiCb7zwxXZHV0DjxlfzRo2TVaKnKk5RTtqY6SGMZhBU1SyeeG7fqKIKF0FPf354gRnHW4YOpYCWcEuFivcFbd4Y0kTUikTnrIbIZ4PpWFXCk=</div>

Data Engineer

ACE Money Transfer

<p><b>About Us:</b></p><p>ACE Money Transfer is a UK-based multinational company headquartered in Manchester, United Kingdom. ACE Money Transfer provides online remittance services to individuals in 28 countries across UK, Europe, Canada, and Australia enabling them to send money across border in over 100 countries.</p><p><b>Job Overview: </b></p><p>This role focuses on developing and implementing data warehouse solutions across the organization while managing large sets of structured and unstructured data. The Data Engineer will analyse complex customer requirements, define data transformation rules, and oversee their implementation. The ideal candidate should have a solid understanding of data acquisition, integration, and transformation, with the ability to evaluate and recommend optimal architecture and approaches.</p><p><b>Key Responsibilities:</b></p><p>&bull;<b>Design Data Pipelines</b>: Develop robust data pipelines capable of handling both structured and unstructured data effectively.</p><p>&bull;<b>Build Data Ingestion and ETL Processes</b>: Create efficient data ingestion pipelines and ETL processes, including low-latency data acquisition and stream processing using tools like Kafka or Glue.</p><p>&bull;<b>Develop Integration Procedures</b>: Design and implement processes to integrate data warehouse solutions into operational IT environments.</p><p>&bull;<b>Data Lake Management:</b> Manage and optimize the data lake on AWS, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind.</p><p>&bull;<b>Optimize SQL and Shell Scripts:</b> Write, optimize, and maintain complex SQL queries and shell scripts to ensure efficient data processing.</p><p>&bull;<b>Monitor and Optimize Performance:</b> Continuously monitor system performance and recommend necessary configurations or infrastructure improvements.</p><p>&bull;<b>Document and Present Workflows</b>: Prepare detailed documentation, collaborate with cross functional teams, present complete data workflows to teams, and maintain an up-to-date knowledge base.</p><p>&bull;<b>Governance &amp; Quality</b>: Develop and maintain data quality checks to ensure data in the lake and warehouse remains accurate, consistent, and reliable.</p><p>&bull;<b>Collaboration with Stakeholders</b>: Work closely with CTO, PMOs, business and data analysts to gather requirements and ensure alignment with project goals.</p><p>&bull;<b>Scope and Manage Projects</b>: Collaborate with project managers to scope projects, create detailed work breakdown structures, and conduct risk assessments.</p><p>&bull;<b>Research &amp; Development (R&amp;D)</b>: Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.</p><p><b>Skills and Qualifications:</b></p><p>&bull;Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.</p><p>&bull;At least 4+ years of relevant experience as a Data Engineer.</p><p>&bull;Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with respective cloud services.</p><p>&bull;Hands-on experience with one or more ETL tools such as Glue, Spark, Kafka, Informatica, DataStage, Talend, Azure Data Factory (ADF).</p><p>&bull;Strong understanding of dimensional modeling techniques, including Star and Snowflake schemas.</p><p>&bull;Experience in creating semantic models and reporting mapping documents.</p><p>&bull;Solid concepts and experience in designing and developing ETL architectures.</p><p>&bull;Strong understanding of RDBMS concepts and proficiency in SQL development.</p><p>&bull;Proficiency in data modeling and mapping techniques.</p><p>&bull;Experience integrating data from multiple sources.</p><p>&bull;Experience working in distributed environments, including clustering and sharding.</p><p>&bull;Knowledge of Big Data tools like Pig, Hive or NiFi would be a plus.</p><p>&bull;Experience with Hadoop distributions like Cloudera or Hortonworks would be a plus.</p><p>&bull;Excellent communication and presentation skills, both verbal and written.</p><p>&bull;Ability to solve problems using a creative and logical approach.</p><p>&bull;Self-motivated, analytical, detail-oriented, and organized, with a commitment to excellence.</p><p>&bull;Experience in the financial services sector is a plus.</p><p>ACE Money Transfer Profile:https://acemoneytransfer.com/company-profile</p><p>To apply for this position, please click on the below mentioned link;</p><p>https://acemoneytransfer.applytojob.com/apply/aqNA7e3kFJ/Data-Engineer?source=INDEF</p><p>Job Type: Full-time</p><p>Work Location: In person</p><br /> <div id='job-id'>Job Id: qolZWn4QZda766K2fTISgE6V6mgoUAjjZ4yiy8JS1YFmaLg2KDpXBNv0b8NGvYJZjxFdUIH8VLkMQiy+iAj0jmujFQ5e1Hm2ce/3T6FDLGMS/kk=</div>

Horizon Tech

<p>We are seeking an experienced Data Engineer to join our team. The Data Engineer will be responsible for extracting, transforming, and loading data from various sources into data lakes and data warehouses using AWS while ensuring the efficiency and alignment of data systems with business goals. The ideal candidate should have strong analytical skills, familiarity with programming languages such as Python, SQL, and experience in building ETL/ELT pipelines.</p><p><b>Must Haves:</b></p><ul><li>Bachelors degree in Computer Science or equivalent required.</li><li>2+ years of progressive experience in working on AWS services.</li><li>Previous experience as a data engineer or in a similar role.</li><li>Technical expertise with data models, data scraping, data cleansing, and segmentation techniques.</li><li>Knowledge and understanding of Amazon Web Services such as AWS Glue (Crawler, Job, Database, Workflow), AWS S3, AWS App flow, AWS Athena, AWS Lambda, etc.</li><li>Knowledge and experience in connecting with multiple data sources using different AWS Services or APIs or connection protocols such as ODBC, JDBC, etc.</li><li>Knowledge and experience of Python and PySpark.</li><li>Knowledge and experience in SQL and SparkSQL queries.</li><li>Knowledge of MS Excel and ability to build various views using pivot tables.</li><li>Great numerical, statistical, and analytical skills.</li><li>Data engineering certification will be a plus.</li><li>Interest in and experience with leveraging AI for data engineering is a plus</li><li>Knowledge and experience on Terraform will be a plus.</li></ul><p><b>Responsibilities:</b></p><ul><li>Extract data from multiple sources (Cloud/On-Prem) and ingest it into a data lake (AWS S3) through different AWS Services or APIs or connection protocols such as ODBC, JDBC, etc.</li><li>Cleanse, transform, and maintain data quality in data lakes and data warehouses.</li><li>Build and maintain data lakes, data warehouses, and data marts on AWS as per the business requirements.</li><li>Develop and manage data catalogs.</li><li>Build data pipelines and workflows to ingest raw data and transform/clean data into data lakes and data warehouses respectively using AWS Glue.</li><li>Conduct complex data analysis and report on results.</li><li>Explore and implement methods to enhance data quality, reliability, and governance</li><li>Evaluate business needs and objectives.</li><li>Interpret trends and patterns.</li></ul><p><b>Other Details</b></p><ul><li>Work Days: Monday-Friday</li><li>Timings: 11am-12am (Any 9 hours)</li><li>Office Location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs300,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your expected salary? </li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>data engineer: 3 years (Required)</li><li>AWS services (AWS Glue): 3 years (Required)</li><li> Python &amp; PySpark: 2 years (Required)</li><li>SQL &amp; SparkSQL: 2 years (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p><br /> <div id='job-id'>Job Id: EmFv+mo24o31rIWiRZtNgUCkCYjiacb0uKfLRiMo58htX1rEAY78oGewqfDo0f9GXq5yzewBzAcVBrCYPxvZOgVYr+Jlky+WMFQL8N7B0XBXQoM=</div>

Randstad Sourceright

<div><div>job details</div><div><div>
<p>Who we are:<br>
Randstad Sourceright&rsquo;s global talent solutions provides instant access to experienced recruitment<br>
and contingent workforce management support by combining technology, analytics and deep<br>
global and local expertise. Our operations consist of the client aligned service delivery teams ...</p></div><div>
operating across RPO, MSP and Blended Workforce Solutions. We are certified as a &ldquo;great place to<br>
work&rdquo; for the last 3 consecutive years and are recognized as the best place to work by Glassdoor<p></p>
<p>Group Objective</p>
<p>The mission of the business intelligence team is to create a data-driven culture that empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to identify trends aimed at data-based decision-making easily.</p>
<p>Position Objective</p>
<p>As a Senior Data Engineer, you will be responsible for designing, architecting, and implementing robust data solutions in a cloud-based environment (GCP). You will partner with other data engineers and technical teams to ensure the availability, reliability, and performance of our data systems.</p>
<p>Position Summary</p>
 <p>%</p>
<p>Programming &amp; Code Writing</p>
<ul><li>Architect and build complex data pipelines using advanced cloud data technologies</li>
<li>Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency</li>
<li>Define industry best practices for building data pipelines</li>
<li>Ensure data security, compliance, and governance standards are met.</li>
<li>Partner with leadership team to define and implement agile and DevOps methodologies</li><br>
</ul><br>
<br>
<p>20%</p>
<p>Consulting &amp; Partnership</p>
<ul><li>Serve as subject matter expert and define data architecture and infrastructure requirements</li>
<li>Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times</li>
<li>Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations</li>
<li>Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes</li><br>
</ul><br>
<br>
<br>
<br>
<p>30%</p>
<p>Troubleshooting &amp; Continuous Improvement</p>
<ul><li>Design and implement a robust data observability process</li>
<li>Resolve escalated reporting requests and communicate proactively and timely</li>
<li>Troubleshoot, and provide technical guidance to resolve issues related to misaligned or inaccurate data or data fields or new customer requirements</li>
<li>Maintain new release, migration, and sprint schedules for software upgrades, enhancements, and fixes to aid with product evolution</li>
<li>Write QA/QC Scripts to conduct first round of testing and partner with BA team for test validation for new developments prior to moving to production</li>
<li>Use industry knowledge &amp; feedback to aid in the development of technology roadmap and future product(s) vision</li>
<li>Document standard ways of working via QRGs, intranet pages, and video series</li><br>
</ul><br>
<br>
<br>
<br>
<p>30%</p>
<p>Senior activities</p>
<ul><li>Drive day-to-day development activities of development team in close collaboration with on-site and off-shore resources, scrum masters and product owners</li>
<li>Bootstrapping a data engineering team at an early stage in the team&rsquo;s evolution</li>
<li>Provide leadership on technical front in difficult situations facilitate contentious discussions, and report up when necessary</li>
<li>Guide, mentor and coach offshore resources</li>
<li>Provide input in forming a long-term data strategy</li><br>
</ul><br>
<br>
<br>
<br>
<p>20%</p><br>
<p></p><br>
<br>
<p>Education</p>
<ul><li>Master&rsquo;s degree in Computer Science / Information Technology or related field, highly preferred</li><br>
</ul><p></p><br>
<br>
<p>Experience</p>
<ul><li>Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions</li>
<li>Extensive Experience with data lakes, ETL and data warehouses</li>
<li>Advanced experience of building data pipelines</li>
<li>Passion for building quality BI software</li>
<li>Project Management and/or process improvement experience highly preferred</li></ul><br>
<p></p><p>Knowledge, Skills, and Abilities</p>
<ul><li>Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau</li>
<li>Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered.</li>
<li>Any exposure to Kafka, Spark, and Scala will be an added advantage.</li>
<li>Should demonstrate a strong understanding of OOPS concepts and methodologies</li>
<li>Expert level understanding of data engineering</li>
<li>Intrinsic motivation and problem-solving</li>
<li>Proactive leadership, project management, time management, and problem-solving skills</li>
<li>Demonstrated continuous improvement, process documentation, and workflow skills</li>
<li>Extensive experience with data analysis , modeling, and data pipelining including data cleaning, standardizing, scaling, tuning, scheduling and deployment</li>
<li>Experience composing detailed technical documentation and procedures for data models</li>
<li>Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality</li>
<li>Strong drive and commitment for delivering outstanding results</li>
<li>Strong follow up and service orientation</li>
</ul><p>Supervisory Responsibility</p>
<ul><li>Directly responsible for supervising non-exempt, clerical, or office administrative personnel</li></ul>
<ul><li>Directly responsible for supervising exempt, professional, or technical employees</li></ul></div></div><div><div><br>
<p>Who we are:<br>
Randstad Sourceright&rsquo;s global talent solutions provides instant access to experienced recruitment<br>
and contingent workforce management support by combining technology, analytics and deep<br>
global and local expertise. Our operations consist of the client aligned service delivery teams<br>
operating across RPO, MSP and Blended Workforce Solutions. We are certified as a &ldquo;great place to<br>
work&rdquo; for the last 3 consecutive years and are recognized as the best place to work by Glassdoor</p>
<p>Group Objective</p>
<p>The mission of the business intelligence team is to create a data-driven culture that empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to identify trends aimed at data-based decision-making easily.</p>
<p>Position Objective</p>
<p>As a Senior Data Engineer, you will be responsible for designing, architecting, and implementing robust data solutions in a cloud-based environment (GCP). You will partner with other data engineers and technical teams to ensure the availability, reliability, and performance of our data systems.</p>
<p>Position Summary</p>
 <p>%</p>
<p>Programming &amp; Code Writing</p>
<ul><li>Architect and build complex data pipelines using advanced cloud data technologies</li>
<li>Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency</li>
<li>Define industry best practices for building data pipelines</li>
<li>Ensure data security, compliance, and governance standards are met.</li>
<li>Partner with leadership team to define and implement agile and DevOps methodologies</li>
</ul>...</div><div><br>
<p>20%</p>
<p>Consulting &amp; Partnership</p>
<ul><li>Serve as subject matter expert and define data architecture and infrastructure requirements</li>
<li>Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times</li>
<li>Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations</li>
<li>Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes</li><br>
</ul><br>
<br>
<br>
<br>
<p>30%</p>
<p>Troubleshooting &amp; Continuous Improvement</p>
<ul><li>Design and implement a robust data observability process</li>
<li>Resolve escalated reporting requests and communicate proactively and timely</li>
<li>Troubleshoot, and provide technical guidance to resolve issues related to misaligned or inaccurate data or data fields or new customer requirements</li>
<li>Maintain new release, migration, and sprint schedules for software upgrades, enhancements, and fixes to aid with product evolution</li>
<li>Write QA/QC Scripts to conduct first round of testing and partner with BA team for test validation for new developments prior to moving to production</li>
<li>Use industry knowledge &amp; feedback to aid in the development of technology roadmap and future product(s) vision</li>
<li>Document standard ways of working via QRGs, intranet pages, and video series</li><br>
</ul><br>
<br>
<br>
<br>
<p>30%</p>
<p>Senior activities</p>
<ul><li>Drive day-to-day development activities of development team in close collaboration with on-site and off-shore resources, scrum masters and product owners</li>
<li>Bootstrapping a data engineering team at an early stage in the team&rsquo;s evolution</li>
<li>Provide leadership on technical front in difficult situations facilitate contentious discussions, and report up when necessary</li>
<li>Guide, mentor and coach offshore resources</li>
<li>Provide input in forming a long-term data strategy</li><br>
</ul><br>
<br>
<br>
<br>
<p>20%</p><br>
<p></p><br>
<br>
<p>Education</p>
<ul><li>Master&rsquo;s degree in Computer Science / Information Technology or related field, highly preferred</li><br>
</ul><p></p><br>
<br>
<p>Experience</p>
<ul><li>Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions</li>
<li>Extensive Experience with data lakes, ETL and data warehouses</li>
<li>Advanced experience of building data pipelines</li>
<li>Passion for building quality BI software</li>
<li>Project Management and/or process improvement experience highly preferred</li></ul><br>
<p></p><p>Knowledge, Skills, and Abilities</p>
<ul><li>Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau</li>
<li>Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered.</li>
<li>Any exposure to Kafka, Spark, and Scala will be an added advantage.</li>
<li>Should demonstrate a strong understanding of OOPS concepts and methodologies</li>
<li>Expert level understanding of data engineering</li>
<li>Intrinsic motivation and problem-solving</li>
<li>Proactive leadership, project management, time management, and problem-solving skills</li>
<li>Demonstrated continuous improvement, process documentation, and workflow skills</li>
<li>Extensive experience with data analysis , modeling, and data pipelining including data cleaning, standardizing, scaling, tuning, scheduling and deployment</li>
<li>Experience composing detailed technical documentation and procedures for data models</li>
<li>Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality</li>
<li>Strong drive and commitment for delivering outstanding results</li>
<li>Strong follow up and service orientation</li>
</ul><p>Supervisory Responsibility</p>
<ul><li>Directly responsible for supervising non-exempt, clerical, or office administrative personnel</li></ul>
<ul><li>Directly responsible for supervising exempt, professional, or technical employees</li></ul></div><br>
</div><div><h3 class="jobSectionHeader"><b>
share this job.</b></h3></div></div><br /> <div id='job-id'>Job Id: NHzCfTwabdgz8ueKJWSfMBD1IY5eOi/tYdfkSVOUVJ7ZLZzKQq6bxNM2Fe5QNlZ7vNipSE3Ce++tkBSGaH9/J5+OXgx5X08o3erPAEI+s9z6MfUZ7bVpUpYWxVTbWPgjv8xG+Zgl2KAHcEFLRX+5lJwKPiwfVk0=</div>

Systems Limited

<div><p>The candidate will be responsible for designing, building, and managing data infrastructure and pipelines to support analytics and machine learning initiatives. This role involves working closely with data scientists, analysts, and other teams to ensure data integrity, optimize data processing, and create robust data solutions</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Design, develop, and optimize data pipelines and workflows to gather, clean, and process large datasets.</li>
<li>Build scalable and reliable data models that support analytics and reporting needs.</li>
<li>Develop and maintain ETL processes to collect, store, and retrieve data efficiently.</li>
<li>Collaborate with data scientists and analysts to define and implement data requirements.</li>
<li>Implement data quality checks and monitoring processes to ensure data integrity.</li>
<li>Maintain and optimize data infrastructure, ensuring high availability and performance.</li>
<li>Integrate data from various sources and manage data storage solutions in cloud and on-premise environments.</li>
<li>Document data architecture, pipelines, and ETL processes.</li></ul><br>
<p></p>
<p><b>
Requirements:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Proven experience as a Data Engineer or similar role.</li>
<li>Proficiency in SQL, Python, and ETL tools.</li>
<li>Experience with data storage systems such as SQL databases, data lakes, and warehouses.</li>
<li>Strong knowledge of cloud platforms like AWS, Azure, or GCP.</li>
<li>Familiarity with big data technologies (e.g., Hadoop, Spark).</li>
<li>Knowledge of data modeling, data architecture, and data warehousing</li></ul></div><br /> <div id='job-id'>Job Id: JJ/X8a3YU6IcePKCLZqlUwxeouggJscwiqAJWBGqoVfaZW/7wmf3sfYqSQa3UQv6HsjmsN76jlsv6Vfw5w/FEyDx4briLZ17V4zig/ncj9CyC0ERQ22X+b0jXzGOarRBu9jNK2cy+0YLk4clL31XrfLr8IaAQaf4B2wR16r5XYriiWZU3vfLYG9+U9btQnpuJIqG</div>

Starzplay Arabia

<div><p><b>Lead / Principal Data Engineer</b></p><p></p><p><br>
We are looking for a highly skilled <b>Lead or Principal Data Engineer</b> to join and shape the future of our data platform at <b>StarzPlay</b>. This is a <b>high-impact role</b> for someone who thrives in a hands-on environment, has a strong data engineering background, and excels at delivering scalable, production-ready data solutions.</p><p></p><p><br>
 <b>What You&rsquo;ll Do:</b></p>
<ul>
<li>Architect, build, and optimize end-to-end data pipelines and workflows using modern data engineering tools and best practices.</li>
<li>Own the design and evolution of scalable data models and schemas, particularly in <b>Amazon Redshift</b> and data lake environments.</li>
<li>Ensure high availability, performance, and reliability of our data infrastructure.</li>
<li>Lead and mentor a team of data engineers, fostering a culture of technical excellence and accountability.</li>
<li>Collaborate closely with analytics, data science, product, and engineering teams to deliver high-quality, trusted data.</li>
<li>Champion data quality, security, governance, and monitoring across all layers of the stack.</li>
<li>Evaluate and adopt new technologies that can help scale our platform and improve developer productivity.</li></ul><br>
<p></p>
<p>
 <b>Tech Stack You&rsquo;ll Work With:</b></p>
<ul>
<li><b>AWS</b>: Redshift, S3, Lambda, IAM, Glue</li>
<li><b>Languages</b>: Python, PySpark, SQL</li>
<li><b>ETL</b>: Talend , dbt,</li>
<li><b>Orchestration</b>: Airflow, Dagster</li>
<li><b>Visualization</b>: Tableau, Looker (a plus)</li>
<li><b>DevOps</b>: Git, CI/CD, Terraform (a plus)</li></ul><br>
<p></p>
<p>
&#9989; <b>What We&rsquo;re Looking For:</b></p>
<ul>
<li><b>7+ years </b>of experience in <b>data engineering</b> with at least 2+ years in a <b>lead role</b></li>
<li>Deep hands-on expertise in building <b>cloud-native</b> data pipelines (AWS preferred)</li>
<li>Proven experience with <b>batch + streaming</b> data solutions, CDC, and event-driven architectures</li>
<li>Strong knowledge of <b>data warehousing</b>, <b>data lakes</b>, and modern data platforms</li>
<li>Expert-level SQL and proficiency in <b>Python / PySpark</b></li>
<li>Track record of <b>leading end-to-end data initiatives</b> from design to production</li>
<li>Excellent problem-solving and stakeholder management skills</li></ul><br>
<p></p>
<p>
<b>Location</b>: Pakistan-based (Islamabad)<br>
<b>Type</b>: Full-time, On-site</p></div><p></p><br /> <div id='job-id'>Job Id: orr+0e5wxVtn5RP+tiW7RDSHLVrk1G03SFGrjsfJH4sA2GfcdWQpfgyUSPA/f4Tl/TM5UewY4Fas2YWwL9Rb99U7rZx4SN9eGwb9SaYCgeJ49wCA2iqLzIuDzorg/6Q4QG5xvI2phERVqWfGchwkdHlXXx78AxzTAHdR</div>

Lead Data Engineer

Macquarie Group

<div><div><div><div><div><div><div><div><div><div>We have an exciting opportunity to join the Macquarie team as a Data Engineer and implement
</div><div>group&rsquo;s data strategy, leveraging cutting edge technology and cloud services. If you are keen to
</div><div>work in the private markets space for one of Macquarie&rsquo;s most successful global divisions, then this
</div><div>role could be for you.</div>
</div></div><div><div><div>At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You&rsquo;ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.</div>
</div></div></div></div></div><div><div><div><div>What role will you play?</div></div><div><br>
</div></div><div><div><div><div><div>In this role, you will be involved in designing and managing data pipelines using Python, SQL, and tools like Airflow and DBT Cloud, while collaborating with business teams to develop prototypes based on business requirements also create &amp; maintain data products. You will gain hands-on experience with technologies such as Google Cloud Platform (GCP) services, including BigQuery, to deliver scalable and robust solutions. As a key team member, your strong communication skills and self-motivation will support engagement with stakeholders at all levels.</div>
</div></div></div></div></div><div><div><div><div>What you offer</div></div><div><br>
</div></div><div><div><div><div><div>Strong proficiency in data technology platforms, including DBT Cloud, GCP BigQuery, and Airflow
</div><div>Solid experience in SQL is mandatory
</div><div>Python, with a good understanding of APIs is advantageous
</div><div>Domain knowledge of asset management and private markets industry, including relevant
</div><div>technologies and business processes
</div><div>Familiarity with cloud platforms such as AWS, GCP, and Azure, along with related services
</div><div>Excellent verbal and written communication skills to effectively engage stakeholders and simplify
</div><div>complex technical concepts for non-technical audiences</div>
</div></div><div><div><div>We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.</div>
</div></div></div></div></div><div><div><div><div>What we offer</div></div><div><br>
</div></div><div><div><div><div>Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:<br>
<ul><li>Hybrid and flexible working arrangements</li><li>
One wellbeing leave day per year</li><li>
Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent</li><li>
Paid volunteer leave and donation matching</li><li>
Other benefits to support your physical, mental and financial wellbeing</li><li>
Access a wide range of learning and development opportunities</li></ul>
</div></div></div></div></div><div><div><div><div>About Technology</div></div><div><br>
</div></div><div><div><div><div><div>Technology enables every aspect of Macquarie, for our people, our customers and our communities. We&rsquo;re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow&rsquo;s technology solutions.</div>
</div></div></div></div></div><div><div><div><div>Our commitment to diversity, equity and inclusion</div></div><div><br>
</div></div><div><div><div><div><div>We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.<br>
<br>
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.</div></div></div></div></div></div></div></div></div></div><br /> <div id='job-id'>Job Id: /eJyBWWY/BtRK9Ct4JlRsPE1DbwGP4AKWBNmtnZv8tSyt7sbzKs/CpODjrJNgmiGBxcR9/hM8jsPzx+cPUtpSH+BXB6680P8EwN7PoYfHwXvr76X3OwejLPR4AW9nmULfw==</div>

Data Engineer - Executive

Explore 2474+ Data engineer in Pakistan this August. Find roles across top companies and apply now to boost your career.

2474 data engineer jobs IN Pakistan

Data Engineer

Data Engineer

Data Engineer

data engineer

Data Engineer

Lead Data Engineer

Data Engineer - Executive