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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

Data Engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Dubizzle Labs

<div>
 You will be participating in exciting projects covering the end-to-end data lifecycle &ndash; from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.
 
 
 You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments &ndash; such as product &amp; tech, the core business verticals, trust &amp; safety, finance, and others &ndash; to enable them to be successful.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement and support data warehousing;
 </li>
 <li>
 Raw data integrations with primary and third-party systems
 </li>
 <li>
 Data warehouse modeling for operational &amp; application data layers
 </li>
 <li>
 Development in Amazon Redshift cluster
 </li>
 <li>
 SQL development as part of agile team workflow
 </li>
 <li>
 ETL design and implementation in Matillion ETL
 </li>
 <li>
 Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
 </li>
 <li>
 Design and implementation of data products enabling data-driven features or business solutions
 </li>
 <li>
 Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
 </li>
 <li>
 Working with other departments on data products &ndash; i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising, and others
 </li>
 <li>
 Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
 </li>
 <li>
 Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
 </li>
 <li>
 Living the team values: Simpler. Better. Faster.
 </li>
 <li>
 Strong desire to learn
 
 
 
 </li>
 </ul>
 
 Required Minimum Experience (must)
 
 
 
 <ul>
 <li>
 1-3 years experience in data processing, analysis, and problem-solving with large amounts of data;
 </li>
 <li>
 Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
 </li>
 <li>
 1+ year of experience with one or more programming languages, especially Python
 </li>
 <li>
 Ability to communicate insights and findings to a non-technical audience
 </li>
 <li>
 Written and verbal proficiency in English
 </li>
 <li>
 Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
 </li>
 <li>
 Top of class University technical degree such as computer science, engineering, math, physics.
 
 
 
 </li>
 </ul>
 
 Additional Experience (strong Plus)
 
 
 
 <ul>
 <li>
 Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
 </li>
 <li>
 Experience with modern big data ETL tools (e.g. Matillion)
 </li>
 <li>
 Experience with AWS data ecosystem (or other cloud providers)
 </li>
 <li>
 Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
 </li>
 <li>
 Tagging, Tracking, and reporting with Google Analytics 360
 </li>
 <li>
 Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
 </li>
 <li>
 Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
 </li>
 <li>
 Linux, bash scripting, Javascript, HTML, XML
 </li>
 <li>
 Docker Containers and Kubernete
 
 
 
 </li>
 </ul>
</div>

We are seeking a skilled Senior Data Engineer to support the modernization of existing Talend-based ETL pipelines into a modern data engineering ecosystem leveraging Python, dbt, Kafka, Apache NiFi, and orchestration tools such as Airflow or Dagster.You will work closely with senior engineers to migrate, build, test, and maintain high-quality data pipelines across the organization. This role is ideal for professionals with strong hands-on data engineering skills, a collaborative mindset, and an eagerness to work with modern data stack technologies.Key Responsibilities:Pipeline Migration &amp; Development● Assist in re-engineering legacy Talend pipelines into Python, dbt, and Airflow/Dagster workflows.● Ensure pipeline logic, data mappings, and tests are accurately replicated and validated.● Support both legacy and new pipeline environments during the transition period.Data Ingestion &amp; Processing● Develop and maintain data ingestion flows using Kafka, Apache NiFi, and REST APIs.● Work with batch and streaming data across structured, semi-structured, and unstructuredformats.● Implement data validation, quality checks, schema enforcement, and row-level transformations.Transformation &amp; Modeling● Contribute to dbt development (models, tests, documentation, snapshots).● Support transformation logic to maintain accuracy, maintainability, and lineage.Monitoring &amp; Maintenance● Monitor daily ETL/ELT workflows for failures, bottlenecks, or data quality issues.● Perform root-cause analysis and escalate complex issues when needed.● Optimize performance across data ingestion, processing, and transformation layers.Documentation &amp; Collaboration● Maintain well-structured documentation for pipeline logic, migration work, and data flows.● Collaborate with senior engineers, QA, data analysts, architects, and platform teams.● Participate in Agile ceremonies: stand-ups, planning, reviews, and retrospectives.Required Experience &amp; Qualification:● 5+ years of experience in Data Engineering or ETL development.● Demonstrated ability to design, build, and maintain robust ELT/ETL pipelines.● Proficiency writing production-grade code (preferably in Python).● Hands-on with SQL (including analytical queries, CTEs, window functions, optimization).● Experience building pipelines using orchestration tools (Airflow, Databricks Workflows, etc.).● Proven comfort with version control, automated testing, code review, CI/CD for data.● ++ Practical experience with Databricks: can confidently use Spark APIs, Delta Lake features(ACID, schema evolution, time travel), and Unity Catalog for data management &amp;amp; accessgovernance.● Familiarity with data quality frameworks welcomed.● Skilled in designing scalable, maintainable, and performant data models (e.g., star/snowflake,normalization, partitioning, incremental strategies).● Can articulate and justify trade-offs in storage, compute, and access layer designs.● Proactive in identifying and fixing pipeline/data quality issues.● Strong troubleshooting, debugging, and root cause analysis skills; goes beyond surface-levelsolutions.● Able to reason about idempotency, error handling, recovery, backfilling, and other criticalproduction concerns.● Actively seeks to understand how and why things work- Consistently dives deeper- Explains in depth, not just what was done but why, and what trade-offs were considered or- Excellent communicator: explains choices and solutions clearly, tailors depth for technical and non-technical audiences.Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in data engineering or ETL development?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>This is an onsite position at our office in Gulberg, Lahore. Are you comfortable working onsite at this location? (Yes/No)</li></ul>Work Location: In person

Senior Data Engineer

Navigator HR Consulting Solutions

<div>
 
 Data Engineer (Azure / AWS / Big Data) | Onsite &ndash; Lahore
 
 
 
 
 Job Title:
 
 Data Engineer
 
 
 
 Location:
 
 DHA Phase 1, Lahore
 
 
 
 Job Type:
 
 Full‑Time | Onsite
 
 
 
 Working Hours:
 
 10:00 AM &ndash; 6:00 PM
 
 
 
 Schedule:
 
 Monday &ndash; Friday
 
 
 
 Experience:
 
 2&ndash;3 Years
 
 
 
 Education:
 
 Bachelors or Masters Degree in Computer Science or related field
 
 
 
 Compensation: 200k - 300k
 
 
 
 
 Job Overview
 
 
 
 We are looking for a skilled
 
 Data Engineer
 
 with hands‑on experience in
 
 Azure, AWS, Spark, and Python
 
 to join our growing technology team in
 
 Lahore
 
 . The ideal candidate will be responsible for building and managing
 
 scalable data pipelines, processing large datasets, and optimizing big data workflows
 
 .
 
 
 This role requires strong experience in
 
 cloud data engineering, data ingestion pipelines, and big data processing frameworks
 
 to support data‑driven decision‑making across the organization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop data pipelines and ETL processes for structured and unstructured data
 </li>
 <li>
 Build and manage data ingestion pipelines and stream processing systems
 </li>
 <li>
 Develop scripts and applications using Python, Spark, and SQL
 </li>
 <li>
 Write and optimize complex SQL queries and shell scripts
 </li>
 <li>
 Work with big data querying tools and distributed data systems
 </li>
 <li>
 Implement and maintain cloud‑based data solutions on Azure or AWS
 </li>
 <li>
 Manage large datasets using Hadoop distributions and Azure Data Lake (HDFS)
 </li>
 <li>
 Troubleshoot and resolve data pipeline issues with minimal supervision
 </li>
 <li>
 Ensure data reliability, scalability, and performance optimization
 
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Hands‑on experience with Azure or AWS cloud platforms
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Experience working with Apache Spark and big data processing frameworks
 </li>
 <li>
 Advanced SQL and data query optimization skills
 </li>
 <li>
 Experience building and maintaining data ingestion pipelines
 </li>
 <li>
 Familiarity with NoSQL databases
 </li>
 <li>
 Experience with Hadoop distributions and Azure Data Lake (HDFS)
 </li>
 <li>
 Strong problem‑solving skills and ability to meet deadlines
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience in Data Engineering or Cloud Data Development
 </li>
 <li>
 Bachelors or Masters Degree in Computer Science, Software Engineering, or related field
 </li>
 <li>
 Certification or training in Data Lake HDFS, Big Data, or Cloud Data Engineering is a plus
 
 
 
 </li>
 </ul>
 
 Work Location
 
 
 
 
 DHA Phase 1, Lahore
 
 
 
 
 Fully Onsite Position
 
</div>

Data Engineer (Azure / AWS / Big Data)

Brand786 LTD

We are looking for a Data Analyst / Analytics Engineer to design and manage a modern data infrastructure that centralizes business data and delivers actionable insights across sales, marketing, and operations.Key Responsibilities<ul><li>Design and manage cloud-based data architecture</li><li>Build and maintain ETL/ELT data pipelines</li><li>Integrate data from CRM, marketing, website analytics, and operational systems</li><li>Develop interactive dashboards and reporting systems</li><li>Deliver weekly, monthly, and quarterly business reports</li><li>Analyze data to identify trends, insights, and performance improvements</li><li>Implement data governance, quality checks, and security standards</li><li>Collaborate with department heads to translate business needs into data insights</li></ul>Required Skills<ul><li>Advanced SQL</li><li>Experience with Python or R</li><li>Strong knowledge of data pipelines and ETL processes</li><li>Experience with BI tools (Power BI, Tableau, Looker, etc.)</li><li>Strong understanding of data modelling and analytics</li></ul>Preferred Skills<ul><li>Experience with Google Cloud or Microsoft Azure</li><li>Experience building data infrastructure from scratch</li><li>Knowledge of sales, marketing, and operational analytics</li></ul>Job Type: Full-timeLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Analyst

NextGen | GTA: A Kelly Telecom Company

<div>
 
 
 Position Overview
 
 
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 3+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Explore 90+ Etl developer in Lahore this April. Find roles across top companies and apply now to boost your career.

90 etl developer jobs In Lahore

Data Engineer

Data Engineer, Tech

Data Engineer

Senior Data Engineer

Data Engineer (Azure / AWS / Big Data)

Data Analyst

Data Analyst