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data engineer

Xynotech

We&rsquo;re looking for a hands-on Data Engineer to join our team and lead the development of robust data pipelines powering the IllumiFi Analytics platform. You&rsquo;ll work with cutting-edge, cloud-native tools to architect, implement, and optimize serverless data solutions on AWS.If you enjoy working with Python, PySpark, and modern data lakehouse patterns in a fast-paced environment &mdash; this is your opportunity to build impactful solutions from the ground up.What You&rsquo;ll Actually Do Here<ul><li>Design and implement scalable, serverless data pipelines using AWS services such as Glue, Lambda, Step Functions, Athena, and S3</li><li>Build and optimize ETL processes using Python/PySpark for efficient data transformations</li><li>Ingest and process structured and semi-structured data formats including JSON, Parquet, and CSV</li><li>Integrate with external APIs using REST protocols and OAuth2 authentication</li><li>Model analytical datasets with star/snowflake schemas, implement SCD Type 2, and define partitioning strategies for efficient query performance</li><li>Build and maintain a well-organized S3-based data lake structure to support analytics workloads</li><li>Apply best practices for version control, data quality, and automation using GitHub workflows</li><li>Drive technical design discussions and contribute to improving infrastructure, tooling, and data processes</li></ul>What We&rsquo;re Looking For<ul><li>2+ years of experince in Data Engineering</li></ul>Strong hands-on experience with AWS services &mdash; especially Glue, Lambda, S3, Step Functions, and Athena<ul><li>Solid command of Python/PySpark for building and managing ETL pipelines</li><li>Proven track record working with large-scale datasets and optimizing performance</li><li>Deep understanding of data modeling, transformations, and SQL for analytical use cases</li><li>Familiarity with REST APIs, OAuth2 authentication, and data integration patterns</li><li>Experience with Git, CI/CD, and workflow automation</li><li>A problem-solving mindset and a passion for scalable, efficient data engineering</li><li>Ability to work independently and collaborate across teams</li></ul>Tools &amp; Platforms<ul><li>Languages &amp; Frameworks: Python, PySpark</li><li>Cloud &amp; Tools: AWS Glue, Lambda, S3, Step Functions, Athena</li><li>Data Formats: JSON, Parquet, CSV</li><li>Modeling &amp; Querying: SQL, Star/Snowflake schemas</li><li>Version Control: Git, GitHub workflows</li></ul>Nice-to-Haves<ul><li>Experience with Apache Iceberg or Hudi for data lakehouse architectures</li><li>Knowledge of data quality frameworks like Great Expectations</li><li>Familiarity with Terraform/IaC for infrastructure automation</li><li>Background in e-commerce or analytics platforms</li><li>Exposure to performance tuning for large data workloads</li><li>Hands-on with Step Functions HTTP Task</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering: 2 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Data Engineer

Enterprise64

<div><h3 class="jobSectionHeader">Overview 
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers. 
 
Job Description 
We are seeking a skilled Senior Data Engineer to design, develop, and maintain scalable, event-driven data architectures on AWS. The ideal candidate will have hands-on expertise in building data pipelines with PySpark and AWS Glue, and experience leading engineering teams to deliver high-performance data solutions. This role requires strong technical leadership, client collaboration, and a deep understanding of big data processing in cloud environments.</h3><h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Architect &amp; Build event-driven data flow systems on AWS to support large-scale data extraction, transformation, and reporting.</li><li>
Develop &amp; Optimize data processing pipelines using PySpark on AWS Glue to streamline big data workflows.</li><li>
Collaborate with Clients to gather requirements, understand business needs, and translate them into actionable technical designs.</li><li>
Implement Best Practices for data governance, monitoring, testing, and performance tuning.</li><li>
Stay Updated with the latest AWS and big data technologies to continuously improve architecture and processes.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
5+ years of experience in data engineering</li><li>
Strong expertise in AWS services (Glue, Lambda, S3, RDS, Athena, etc.).</li><li>
Proficiency in PySpark, Python, and SQL for large-scale data processing.</li><li>
Proven experience designing event-driven data architectures.</li><li>
Excellent communication, and client-facing skills.</li><li>
Strong problem-solving and analytical abilities.</li></ul>
Benefits<ul><li>
Talent upskilling program.</li><li>
Provident fund.</li><li>
Health insurance.</li><li>
Eligible for US H-1 Visa.</li><li>
Project-based bonus.</li><li>
Leave encashment.</li><li>
EOBI</li><li>
Maternity leaves/ Paternal WFH</li><li>
Religious holidays</li><li>
Work from home facility.</li><li>
Referral bonus.</li><li>
Paid time off.</li><li>
Transportation service.</li><li>
Loan and advance salary.</li></ul></div>

Senior Data Engineer

Squarera

We are looking for a Jr. Data Engineer who has a strong foundation in SQL and a passion for data. You will work with our data team to build and maintain pipelines, support data modeling, and contribute to the overall data architecture. This is a great opportunity for someone early in their career to grow in a supportive and dynamic environment.Key Responsibilities:<ul><li>Design, build, and maintain reliable data pipelines using SQL and other ETL tools.</li><li>Collaborate with data analysts, engineers, and business stakeholders to gather requirements and deliver data solutions.</li><li>Clean, transform, and validate data for use in reporting and analytics.</li><li>Ensure data quality and integrity across multiple sources.</li><li>Monitor existing workflows and optimize queries for better performance.</li><li>Participate in code reviews and contribute to technical documentation.</li></ul>Required Skills and Qualifications:<ul><li>6 months to 1 year of hands-on experience in data engineering or a similar role.</li><li>Proficient in writing complex SQL queries (joins, window functions, CTEs, aggregations, etc.).</li><li>Basic understanding of ETL processes and data pipeline tools.</li><li>Familiarity with databases such as PostgreSQL, MySQL, or SQL Server.</li><li>Exposure to cloud platforms like AWS, GCP, or Azure is a plus.</li><li>Good problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration abilities.</li></ul>Preferred (but not required):<ul><li>Experience with Python or any scripting language.</li><li>Familiarity with tools like Airflow, DBT, or data warehousing solutions like Snowflake/BigQuery/Redshift.</li><li>Exposure to version control systems (e.g., Git).</li></ul>What We Offer:<ul><li>A collaborative team environment.</li><li>Opportunities for learning and professional growth.</li><li>Competitive compensation.</li></ul>Job Type: Full-timeWork Location: In person

Data Engineer - Junior

We are looking for a motivated and detail-oriented Associate Data Engineer to join our growing team. The ideal candidate should have 1 to 2 years of experience in data engineering or related fields and a passion for building data-driven solutions.You will work closely with senior team members to design, develop, and maintain scalable data pipelines, ETL processes, and data integration solutions. This role offers excellent opportunities for growth, learning, and contributing to impactful projects.Key Responsibilities:<ul><li>Develop, maintain, and optimize data pipelines and ETL workflows.</li><li>Assist in designing and implementing scalable data architectures.</li><li>Collaborate with data analysts, data scientists, and other stakeholders to ensure data accuracy and availability.</li><li>Monitor and troubleshoot data pipelines to ensure high performance and reliability.</li><li>Document processes, workflows, and data models.</li></ul>Requirements:<ul><li>1 to 2 years of relevant experience in data engineering or related roles.</li><li>Strong knowledge of SQL and experience with relational databases.</li><li>Familiarity with ETL tools, data warehousing concepts, and cloud platforms (e.g., Google Cloud Platform, Amazon Web Services, or Microsoft Azure).</li><li>Proficiency in at least one programming language (e.g., Python, Java, or Scala).</li><li>Good problem-solving skills and attention to detail.</li><li>Ability to work independently as well as in a collaborative environment.</li></ul>What We Offer:<ul><li>Competitive market salary (up to PKR 125,000, depending on the candidate&rsquo;s experience and skillset)</li><li>Employment commitment of 24 months</li><li>Opportunities for international relocation or travel</li><li>Medical coverage</li><li>Yearly performance-based bonus</li><li>Performance-based salary increments</li><li>Professional development and training programs</li><li>Collaborative and innovative work environment</li><li>Preference will be given to immediate joiners</li></ul>Job Type: Full-timeWork Location: In person

Associate Data Engineer

BOS Balance of Storage Systems AG

We are seeking a skilled Data Engineer to join our team on a contractual basis. This is a remote opportunity, ideal for a professional who wants to contribute to impactful data projects while working with modern technologies such as Microsoft Fabric, Azure, and SQL. If you&rsquo;re detail-oriented, reliable, and passionate about building scalable data pipelines, we&rsquo;d love to collaborate with you.About the RoleAs a Freelance Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines and transformations to support our company&rsquo;s data initiatives. You will work closely with international colleagues, ensuring clean, reliable, and well-documented data workflows. This is a contract-based position with flexibility in working arrangements, focused on delivering high-quality outcomes within agreed timelines.Key Responsibilities<ul><li>Design, build, and maintain ETL/ELT pipelines using Microsoft Fabric and Azure Data Factory.</li><li>Integrate data from multiple systems including SQL databases, MongoDB, ERP, CRM, Microsoft Dynamics and APIs.</li><li>Implement and manage data lakehouse architecture (Bronze, Silver, Gold layers).</li><li>Perform data cleansing, transformation, and normalization for downstream use cases.</li><li>Set up CI/CD pipelines to automate deployment, testing, and monitoring of data workflows.</li><li>Ensure data quality, reliability, and consistency through validation and monitoring.</li><li>Maintain proper documentation, metadata, and process records for delivered solutions.</li></ul>What We Offer<ul><li>Contractual engagement with flexible working hours (160 Hours per month) .</li><li>Exposure to impactful projects in modern data engineering.</li><li>Opportunity to work with Microsoft Fabric, Power BI, Azure, SQL, and Python.</li><li>A collaborative environment with international team members.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Data Science, or a related field.</li><li>Minimum 2+ years of proven experience in data engineering or related roles.</li><li>Strong technical skills in:</li><li>SQL, Python (Pandas, PySpark)</li><li>REST APIs and integration techniques</li><li>Microsoft Fabric, Power BI, Azure services</li><li>Familiarity with CI/CD pipelines and DevOps practices (GitHub Actions, Azure DevOps).</li><li>Ability to deliver within agreed timelines and independently manage tasks.</li><li>Strong communication skills in English.</li></ul>Preferred but Not Required<ul><li>Experience with automation or chatbot integration.</li><li>Basic understanding of AI/ML concepts (LLMs, plugin usage).</li></ul>Impact You&rsquo;ll Make<ul><li>Deliver robust and scalable data pipelines to strengthen our data foundation.</li><li>Enable efficient data integration and automation within the company.</li><li>Contribute to structured data governance and documentation practices.</li><li>Support a data-driven culture by ensuring the availability of reliable, well-structured datasets.</li></ul>How to ApplyIf you are an experienced Data Engineer seeking a flexible contractual role and want to contribute to impactful projects, we&rsquo;d love to hear from you! Please send your resume, portfolio of past work (if available), and a brief cover letter highlighting your experience and availability.Job Types: Full-time, Contract Contract length: 6 monthsPay: Rs200,000.00 - Rs250,000.00 per monthExperience:<ul><li>Data Engineering: 2 years (Preferred)</li></ul>Work Location: Remote

Freelance Data Engineer– Offshore

Techlogix

<div><div>Core Skills: 
</div><ul><li>
Data engineer with a solid technical background and banking experience in data-intensive systems (&gt;7 years) 
</li><li>
Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow 
</li><li>
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 
</li><li>
Proficiency in relational SQL, Graph and NoSQL databases. 
</li><li>
Proficiency in Elastic Search and Couchbase databases 
</li><li>
In-depth skills in developing and maintaining ETL/ELT data pipelines. 
</li><li>
Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc. 
</li><li>
Experience in workflow management tools such as Airflow, Oozie and CI/CD tools 
</li><li>
Data streaming solution in Kafka or Confluent Kafka 
</li><li>
Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model 
</li><li>
Reporting knowledge in Power Bl, Tableau, Qlik etc. 
</li><li>
Sound in Data Management Fundamentals and Data Architect, Modelling, Governance 
</li><li>
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. 
</li><li>
Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration 
</li><li>
Knowledge of Advance Analytics and Al tools</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><div>
Minimum BS Degree in CS, IT or Engineering 
Banking Domain Knowledge will be a Plus.</div><h3 class="jobSectionHeader"> 
Benefits</h3><div>
Competitive Salary, Medical OPD &amp; IPD, Life Insurance, EOBI</div></div>

Data Engineering Lead

Join a forward-thinking team at IT team, building a secure, scalable, and future-ready enterprise data platform. If you are passionate about data architecture, Microsoft Fabric, and enabling AI-ready, secure data solutions, we want to meet youAbout the Role: We are seeking a skilled Data Architect to join our team in a contractual basis. You will design and implement enterprise data architecture leveraging Microsoft Fabric. You will define the data lifecycle, ensure lineage and governance with Microsoft Purview, and enable advanced analytics and AI-readiness across the organization. You will work closely with the Head of IT and collaborate with data engineers and analysts to translate business needs into a robust data strategyKey Responsibilities:&middot; Architect and implement end-to-end data solutions using Microsoft Fabric components (Data Factory, Lakehouse, Warehouse, Real-Time Analytics).&middot; Design and help to maintain semantic models to support business KPIs and self-service analytics.&middot; Help to define and enforce data governance policies, including security, privacy, and compliance, leveraging Microsoft Purview.&middot; Establish data lineage and metadata management for transparency and auditability.&middot; Develop data lifecycle strategies (ingestion, transformation, storage, archival, and deletion).&middot; Collaborate with business stakeholders to translate requirements into data models and architecture blueprints.&middot; Support the optimization of data pipelines for performance, scalability, and cost efficiency.&middot; Support the Implementation of CI/CD practices for Fabric workloads and automate deployment workflows.&middot; Provide technical leadership to data engineers and analysts on Fabric/platform best practices.&middot; Ensure API readiness for semantic models to support Copilot and external integrationsWhat We Offer:&middot; Contractual engagement with flexible working arrangements (160 hours / month)&middot; A strong IT architecture that supports AI-readiness and Microsoft Fabric.&middot; Hands-on experience with tools like MS Dynamics, MS365, Azure Cloud, ITSM technologies, Power Platform and MS Copilot Studio&middot; Mentorship from senior IT professionals and clear opportunities for career growth.&middot; Exposure to impactful projects that shape the future of data-driven IT solutions.&middot; A collaborative, supportive team culture.Qualifications:&middot; 3+ years in data architecture or engineering roles, with 1+ years in Microsoft Fabric or equivalent platforms.&middot; Strong knowledge of lakehouse architecture, medallion design, and semantic modeling.&middot; Hands-on experience with Microsoft Fabric workloads, Power BI, and Azure Data Factory.&middot; Expertise in data governance frameworks, data quality management, and compliance standards (GDPR, ISO 27001).&middot; Proficiency in SQL, T-SQL, and scripting languages (PySpark preferred).&middot; Familiarity with data lineage tools and metadata management.&middot; Experience with CI/CD pipelines, DevOps practices, and Fabric deployment automation.&middot; Excellent communication skills in English for cross-functional collaboration.Preferred but Not Required:&middot; Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)&middot; Microsoft Certified: Azure Data Engineer Associate (DP-203)&middot; Microsoft Certified: Azure Solutions Architect Expert (AZ-305)Key Deliverables&middot; Enterprise data architecture blueprint aligned with business strategy.&middot; Governed data model with lineage and metadata catalog.&middot; Operational data pipelines with monitoring and quality checks.&middot; Documentation of data governance policies and lifecycle processes.Impact You&rsquo;ll Make:You will help us implement a strong and secure data platform, enabling fast and secure delivery of data products, AI-ready processes, and secured data exchanges. You will work directly with the Head of IT to translate business needs into a robust data strategy, collaborating with data engineers and analysts to ensure compliance and future-proof solutions.How to ApplyIf you are passionate about data architecture and Microsoft Fabric, and want to grow in a dynamic, international environment, apply today! Send your resume and a brief cover letter highlighting your experience and motivation.Job Types: Part-time, Contract Contract length: 6 monthsPay: Rs200,000.00 - Rs250,000.00 per monthExpected hours: 20 per weekExperience:<ul><li>Data Architecture: 3 years (Preferred)</li><li>Data Protection and Compliance: 3 years (Preferred)</li></ul>Work Location: Remote

Freelance Data Architect – Offshore

Explore 1010+ Data engineer in Karachi this September. Find roles across top companies and apply now to boost your career.