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data pipeline 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

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

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

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

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

Eocean Pvt Ltd

Position: Jr Devops Engineer Location: Onsite, Karachi Education: BSCS Experience: Fresh to 6 months Job Description<ul><li>Knowledge of cloud infrastructure using tools such as AWS and Azure.</li><li>Knowledge of Linux (Ubuntu, Centos, RedHat).</li><li>Enforce security best practices and compliance measures to safeguard data and systems.</li><li>Stay abreast of industry trends and emerging technologies, proposing and implementing improvements in DevOps practices.</li><li>Diagnose and resolve issues across production and non-production environments, implementing solutions to forestall recurrences.</li><li>Experience with deploying applications.</li><li>Hands-on experience with containerization and orchestration tools like ECS, Docker, and Kubernetes.</li><li>Exemplify exceptional problem-solving and communication skills.</li><li>Understanding of open-source server software such as Apache, NGINX, RabbitMQ, Redis, SQL, No-SQL.</li><li>Implement and manage build and release processes using tools like Jenkins or GitLab CI/CD. Ensure code quality and security standards are met throughout the CI/CD pipeline.</li></ul>Note: This is rotational shift based jobJob Type: Full-timeWork Location: In person

Jr Devops Engineer

Mosh International

Position: Sr. Sales EngineerLocation: Karachi (with nationwide travel)Reports to: Head of SalesAbout ZMPZinga Mosh Pakistan is the coating division of Mosh Group, established in partnership with Zingametall, Belgium. Zinga is our rust preventive coating is a premium unique product for the niche markets and for the ones who want long term corrosion prevention. For more info, you can visit: www.zinga.euRole OverviewWe are seeking a hands-on Senior Sales Engineer to drive revenue growth by leveraging technical expertise in corrosion protection combined with strong business development skills. The primary focus will be on converting our existing pipeline AND developing new opportunities in key industrial sectors.The ideal candidate is a technical hunter who can independently manage the entire sales cycle, from technical presentations to site inspections and contract closure.Key ResponsibilitiesSales &amp; Business Development (70%)<ul><li>Achieve monthly/quarterly sales targets by actively pursuing and converting opportunities in the existing pipeline</li><li>Secure 2-3 new project wins per quarter across utilities, EPC contractors, oil &amp; gas, and marine sectors, etc.</li><li>Build and manage relationships with key decision-makers (project managers, engineering heads, maintenance heads)</li><li>Conduct product demonstrations and trial application oversight</li></ul>Technical &amp; Application Support (30%)<ul><li>Conduct site visits to assess corrosion challenges and recommend ZINGA&reg; solutions</li><li>Deliver technical presentations to client engineering teams</li><li>Provide pre- and post-sales technical support, including application monitoring (feedback, site reports, and client performance evaluations)</li><li>Collaborate with contractors to ensure proper surface preparation and application</li></ul>KPIs (First 6 Months)<ul><li>Revenue Generation: Achieve Rs. 15-20 million in closed sales</li><li>Pipeline Conversion: Secure 4-6 new project orders from existing pipeline</li><li>Client Engagement: Conduct 15+ technical presentations and 25+ site visits</li><li>Market Penetration: Add 8-10 new qualified opportunities to pipeline monthly</li></ul>QUALIFICATIONS &amp; SKILLS Required<ul><li>Bachelor&rsquo;s degree in mechanical/chemical/Metallurgy Engineering</li><li>5-8 years in technical sales of industrial coatings, paints, or corrosion protection systems</li><li>Proven track record of achieving sales targets in B2B industrial sales</li><li>Strong understanding of corrosion mechanisms and protective coating standards</li><li>Willingness to travel extensively (50%+ time at client sites)</li></ul>Preferred<ul><li>Experience with key verticals: utilities, oil &amp; gas, ports &amp; shipping, infrastructure</li><li>Knowledge of ISO 12944, NACE, or SSPC standards</li><li>Existing relationships with EPC contractors or large industrial clients in Pakistan</li></ul>COMPENSATION STRUCTURE<ul><li>Fixed Base Salary: Rs. 150,000 &ndash; Rs. 200,000/month (based on experience)</li><li>Performance Bonus: 10% on all sales brought in between a certain number</li><li>Accelerator Bonus: 15% on all sales brought in exceeding a certain benchmark</li></ul>BenefitsCompany vehicle + fuel, mobile allowance, medical insurance (self)Additional IncentivesQuarterly performance bonuses, annual profit-sharing potentialTotal On-Target Earnings (OTE): can reach up to Rs.500,000 /month (upon achieving targets)WHY JOIN ZMP?<ul><li>Opportunity to work with a unique, patented technology with no direct competition</li><li>Performance-driven culture with direct reward for results</li><li>Growing company with prestigious client references</li><li>Clear path to Sales Manager role based on performance</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthApplication Question(s):<ul><li>Are you currently handling individual sales targets?</li><li>Do you have industrial sales experience?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Industrial Sales: 5 years (Required)</li></ul>Work Location: In person

Senior Sales Engineer

Explore 1113+ Data pipeline engineer in Karachi this September. Find roles across top companies and apply now to boost your career.