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Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Engineer
 
 
 
 We are looking for a Data Engineer with strong experience in Azure data services, Azure Databricks, PySpark, and Power BI to join our customer analytics and insights team. You will play a key role in bridging the gap between business requirements and technical delivery working across data engineering, analytics, and stakeholder communication.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work closely with business stakeholders to gather, understand, and translate business requirements into scalable data solutions.
 </li>
 <li>
 Design, build, and optimize data pipelines in Azure Databricks using PySpark and SQL.
 </li>
 <li>
 Collaborate with analysts and product owners to deliver ad-hoc analyses, as well as end-to-end production-grade data solutions.
 </li>
 <li>
 Manage and maintain data lakes, ensuring efficient data ingestion, transformation, and storage.
 </li>
 <li>
 Develop data models and datasets optimized for Power BI dashboards and self-service analytics as well as design and create dashboards.
 </li>
 <li>
 Participate in CI/CD and DevOps processes for automated deployment and monitoring of data workflows.
 </li>
 <li>
 Communicate technical concepts effectively to non-technical business users, providing clarity and actionable insights.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of experience as a Data Engineer. Experience in Azure data ecosystem (Azure Data Factory, Azure Data Lake Gen2, Azure Databricks) is a plus.
 </li>
 <li>
 Strong hands-on experience in PySpark, SQL, and Python for data transformation and pipeline automation.
 </li>
 <li>
 Experience designing and managing data pipelines and ETL processes using Databricks and Delta Lake.
 </li>
 <li>
 Experience in Data Visualization and a good understanding of Power BI data.
 </li>
 <li>
 Experience in stakeholder management. Translating business needs into data-driven solutions and presenting findings clearly.
 </li>
 <li>
 Familiarity with DevOps concepts, Git, and CI/CD pipelines in Azure DevOps.
 </li>
 <li>
 Solid understanding of data governance, data quality, and metadata management principles.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s in it for you
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Employees' Provident Fund, medical and other incentives
 </li>
 <li>
 Unique working environment where you communicate and work directly with international clients
 </li>
 <li>
 Self-development opportunities
 </li>
 </ul>
</div>

Data Engineer

International Rescue Committee

<div>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.
Technology and Operations support the organization's work by providing reliable and scalable solutions for the IRC's offices around the world. The Data Team at IRC is responsible for the design and delivery of global data strategies and the systems and products that deliver on it. 
Job Overview / Summary 
The Data Engineer will support the implementation, configuration, and maintenance of data pipelines and transformation workflows across IRC's data environment. This role plays an active part in building and operating ELT processes, dbt models, and cloud-based data platforms including Azure Databricks and the IRC Lakehouse. 
The successful candidate has foundational to growing expertise in dbt, SQL, and Databricks, and is eager to take on increasing ownership of data engineering deliverables. Working closely with senior engineers and the Data Architect, this role contributes to data modeling, pipeline development, and platform reliability in a collaborative and fast-paced environment. 
Major Responsibilities<div> 
Pipeline Engineering &amp; Orchestration 
<ul><li>Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory for batch and scheduled processing from internal and external sources.</li><li>Support the ingestion of data from key systems (e.g., D365 CRM, ServiceNow) into Lakehouse.</li><li>Monitor pipeline execution, identify failures, and troubleshooting issues in collaboration with senior engineers.</li><li>Contribute to pipeline documentation and help maintain runbooks and process standards.</li></ul></div><div> 
dbt Development 
<ul><li>Develop and maintain dbt models across staging, intermediate, and mart layers under the guidance of senior team members.</li><li>Write dbt tests and contribute to source freshness checks to support data quality.</li><li>Learn and apply dbt best practices including modular design, ref dependencies, and incremental model patterns.</li><li>Work with analysts and business teams to translate data requirements into dbt models.</li></ul></div><div> 
SQL &amp; Data Transformation 
<ul><li>Write intermediate to advanced SQL for data extraction, transformation, and validation tasks.</li><li>Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.</li><li>Assist in query optimization and performance troubleshooting within</li></ul></div><div>
Databricks SQL environments. 
<ul><li>Support data model maintenance and help accommodate new source fields or schema changes.</li></ul></div><div> 
Databricks &amp; Cloud Platform 
<ul><li>Develop and maintain Databricks notebooks and jobs for data transformation workloads.</li><li>Gain hands-on experience with Delta Lake concepts and PySpark for data processing.</li><li>Follow Lakehouse design patterns (Bronze/Silver/Gold) as defined by the Data Architect.</li><li>Support cloud resource management including basic cluster configuration and job scheduling.</li></ul></div><div> 
Collaboration &amp; Learning 
<ul><li>Actively collaborate with the Data Team on pipeline design, troubleshooting, and delivery.</li><li>Participate in code reviews and incorporate feedback to improve code quality.</li><li>Support documentation of processes, standards, and data flows.</li><li>Engage with Finance, FP&amp;A, and other business teams to understand data needs and assist in solution delivery.</li></ul></div><div> 
Key Working Relationships 
<ul><li>Data Team (Data Architect, Lead Data Engineer, Data Analysts)</li><li>Business / Departmental Priority Setters (Finance, FP&amp;A, Operations)</li><li>Enterprise Systems Owners (D365 CRM, Integra)</li></ul>
Position Reports To</div> 
Lead Data Engineer 
Position Supervises: None 
Travel Requirements 
Special projects may require travel to enable on-the-ground learning to support data strategy deliverables. 
Minimum Requirements<div> 
Experience 
<ul><li>3&ndash;6 years of hands-on experience in data engineering, analytics engineering, or a related technical role.</li><li>Demonstrated experience building or maintaining data pipelines in a professional setting.</li><li>Exposure to cloud-based data platforms, preferably Azure (Databricks, Data Factory, or Synapse).</li></ul></div><div> 
Technical Skills &mdash; Required 
dbt: 
<ul><li>Working knowledge of dbt model development including staging and mart layers.</li><li>Familiarity with dbt tests, documentation, and source configurations.</li><li>Eagerness to deepen dbt skills including incremental models and CI/CD integration.</li></ul></div><div> 
Databricks: 
<ul><li>Hands-on experience with Databricks notebooks and basic job/workflow setup.</li><li>Familiarity with Delta Lake concepts and Databricks SQL.</li><li>Exposure to PySpark for data transformation tasks.</li></ul></div><div> 
SQL: 
<ul><li>Solid SQL skills: joins, CTEs, window functions, aggregations, and basic performance awareness.</li><li>Experience writing SQL for data transformation and validation in a cloud data warehouse.</li></ul></div><div> 
Pipeline Engineering: 
<ul><li>Experience building or supporting ELT pipelines with monitoring and basic data validation.</li><li>Familiarity with pipeline orchestration tools such as Azure Data Factory or Databricks Workflows.</li></ul></div><div> 
Python: 
<ul><li>Basic to intermediate Python skills for data processing, scripting, and automation.</li><li>Familiarity with PySpark is a plus.</li></ul></div><div> 
Data Modeling: 
<ul><li>Understanding of star/snowflake schemas and fact &amp; dimension table concepts.</li><li>Exposure to Lakehouse or medallion architecture (Bronze/Silver/Gold) is a plus.</li></ul></div><div> 
Soft Skills 
<ul><li>Curious and eager to learn with a proactive approach to problem-solving.</li><li>Good communication skills &mdash; able to collaborate across technical and non-technical teams.</li><li>Attention to detail and a strong sense of data quality.</li><li>Comfortable working in a collaborative, fast-paced, and remote team environment.</li></ul></div><div> 
Preferred Additional Requirements 
<ul><li>Experience with Databricks or Azure Synapse Analytics.</li><li>Familiarity with D365 CRM or Similar data structures.</li><li>Exposure to Git-based workflows and CI/CD practices for data pipeline deployments.</li><li>Experience in a humanitarian, nonprofit, or international development context.</li></ul></div> 
Working Environment 
Remote 
PROFESSIONAL STANDARDS
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
Cookies: https://careers.rescue.org/us/en/cookiesettings
#li-1</div>

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Nayatel

<div>
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Design, develop, and optimize scalable ETL/ELT pipelines and data workflows using Python and SQL.
 </li>
 <li>
 Build and maintain batch and real-time data processing systems using tools such as Apache Airflow, Apache Kafka, and DBT.
 </li>
 <li>
 Develop robust data integration solutions to ingest data from multiple sources into data warehouses.
 </li>
 <li>
 Collaborate with stakeholders and cross-functional teams to gather business requirements and translate them into scalable data models and technical solutions.
 </li>
 <li>
 Perform data modeling and schema design for analytical and operational reporting systems.
 </li>
 <li>
 Work with relational databases such as Oracle, PostgreSQL, and MySQL for querying, optimization, and data warehousing.
 </li>
 <li>
 Implement and maintain real-time streaming solutions using Apache Kafka and related technologies.
 </li>
 <li>
 Monitor data pipelines and ensure data quality, consistency, integrity, reliability, and performance across systems.
 </li>
 <li>
 Troubleshoot and resolve issues related to ETL processes, database performance, and data infrastructure.
 </li>
 <li>
 Optimize SQL queries, database operations, and pipeline performance for large-scale data processing.
 </li>
 <li>
 Document data architectures, workflows, technical processes, and system designs to maintain clear and up-to-date technical documentation.
 </li>
 <li>
 Work closely with software engineering, DevOps, and infrastructure teams to ensure seamless integration and scalability of data platforms.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or a related field.
 </li>
 <li>
 1 to 2 years of relevant experience
 </li>
 <li>
 Strong expertise in data engineering tools and technologies including Apache Airflow, Apache Kafka, DBT, and relational databases such as Oracle, PostgreSQL, and MySQL.
 </li>
 <li>
 Good understanding of data modeling, data warehousing, real-time and batch data processing, SQL optimization, troubleshooting, and data pipeline performance management.
 </li>
 <li>
 Familiarity with cloud platforms, modern data engineering practices, CI/CD, and workflow automation.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills with the ability to work in a collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Why Nayatel?
 
 
 
 We provide:
 
 <ul>
 <li>
 Challenging environment
 </li>
 <li>
 Open door policy
 </li>
 <li>
 Respect, dignity, and protection
 </li>
 <li>
 Training, mentoring, and coaching in soft and hard skills to transform you as a future leader
 </li>
 <li>
 Representation in external forums (University lecturers, advisory boards, etc.)
 </li>
 <li>
 Excellent rewards for out of the box thinker, doers, and implementers
 </li>
 <li>
 Equal opportunity, and merit.
 </li>
 </ul>
 
 
 
 
 
 Hiring Procedure:
 
 
 <ul>
 <li>
 CV Shortlisting
 </li>
 <li>
 Technical Test
 </li>
 <li>
 Initial Interview
 </li>
 <li>
 IQ/Personality Assessment Tests
 </li>
 <li>
 Final interview
 </li>
 <li>
 Medical Screening
 </li>
 <li>
 Joining
 </li>
 </ul>
</div>

Translation Empire PK

<div>
 
 Job Description
 
 
 
 Translation Empire PK is seeking a Deep Learning Specialist to focus on designing and deploying advanced deep learning models for image, text, or signal data. You will work on solving problems where traditional ML fails.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and optimize deep learning architectures
 </li>
 <li>
 Fine-tune LLMs or CNNs based on project needs
 </li>
 <li>
 Address overfitting, data imbalance, and model bias issues
 </li>
 <li>
 Evaluate DL models in production environments
 </li>
 <li>
 Share best practices with engineering teams
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualification and Experience:
 
 
 
 <ul>
 <li>
 Master's or PhD in AI, Deep Learning, or related field
 </li>
 <li>
 3+ years of deep learning experience
 </li>
 <li>
 Strong grasp of DL frameworks (TensorFlow, PyTorch)
 </li>
 <li>
 Experience in transfer learning, GANs, transformers
 
 
 </li>
 </ul>
 
 Certification:
 
 
 
 
 Preferred.
 
 
 
 
 Work mode:
 
 
 
 Work from Office.
 
 
 
 Location:
 
 
 
 DHA 1 Sector F Rwp.
 
 
 
 Salary:
 
 
 
 Market Competitive.
</div>

Deep Learning Engineer

Confiz

<div>We are looking for a Data Engineer with 2&ndash;4 years of experience to design, build, and maintain data pipelines that enable efficient data processing and analytics. The ideal candidate will have expertise in SQL, data modeling, and modern data engineering tools and frameworks, and will work closely with data analysts, BI developers, and business teams to ensure reliable and high-quality data flows.
Responsibilities:
<ul><li>Design, develop, and maintain ETL/ELT data pipelines to support business analytics and reporting</li>
<li>Implement data models optimized for performance, scalability, and business needs</li>
<li>Develop and manage data integration workflows using modern ETL tools and orchestration frameworks</li>
<li>Ensure data quality, integrity, and consistency across various systems</li>
<li>Optimize SQL queries and database performance for efficient data retrieval</li>
<li>Collaborate with data scientists, analysts, and BI teams to provide well-structured data for insights</li>
<li>Monitor and troubleshoot data pipeline failures, ensuring minimal downtime</li>
<li>Implement best practices in data engineering, including documentation, version control, and automation</li>
</ul>
Requirements :
<ul><li>2&ndash;4 years of experience in data engineering, ETL/ELT, and data pipeline development (Oracle, Informatica, Azure)</li>
<li>Strong proficiency in SQL for data transformation, query optimization, and performance tuning</li>
<li>Hands-on experience with modern ETL/ELT tools and orchestration frameworks (e.g., ADF, Informatica, Apache Airflow, dbt, or similar)</li>
<li>Knowledge of data modeling principles (dimensional modeling, normalization, denormalization)</li>
<li>Familiarity with relational database systems such as Oracle, MS SQL Server, or similar</li>
<li>Experience with a programming language such as Python for data processing and automation</li>
<li>Strong problem-solving skills with the ability to troubleshoot and optimize data workflows</li>
<li>Ability to work independently and collaborate with cross-functional teams</li>
<li>Good understanding of data governance, security, and compliance best practices</li>
</ul>
Preferred Qualifications :
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent experience)</li>
<li>Experience with cloud data platforms (AWS, Azure, or GCP)</li>
<li>Exposure to CI/CD for data pipelines and version control systems like Git</li>
<li>Familiarity with big data technologies (e.g., Apache Spark) or data warehousing solutions</li>
</ul>
We have a global team of 700 + amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

Senior Data Engineer

Ciklum Pakistan

<div>
 
 Job Description
 
 
 
 
 Ciklum
 
 is looking for a
 
 Senior Full Stack Engineer
 
 to join our team full-time in Pakistan.
 
 
 We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
 
 
 
 About The Role
 
 
 
 As a Senior Full Stack Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. This is an opportunity to work at the heart of an entrepreneurial tech team, shaping how grows and supporting the drivers of our success.
 
 
 You&rsquo;ll collaborate closely with other engineers, our Product team, and our Data team to design, build and deliver high-quality technology and customer experiences. While experience as a Software Engineer is essential, we&rsquo;re pretty open on which languages and frameworks you&rsquo;ve worked with. Our current stack includes Python, Django, Typescript, React, React Native and AWS serverless technologies (Lambda, S3, DynamoDB, API Gateway, SNS/SQS). You&rsquo;ll work across frontend, backend, and platform infrastructure, with learning opportunities throughout your time to expand your skills.
 
 
 Join our client, a growing company in the sustainability-focused tech space, operating in a product focused environment. Be part of a purpose driven team working to reduce waste and improve how resources are used more efficiently across supply chains. The impact goes beyond the product itself, contributing to broader environmental outcomes.
 
 
 Working in a collaborative, hybrid setup, you&rsquo;ll contribute to shaping and delivering solutions, with the opportunity to influence how things are built and improved over time.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leading on the successful delivery of complex projects and features across both the backend and frontend of our tech stack, contributing directly to key product goals by working on technical designs and building quality solutions
 </li>
 <li>
 Increasing team velocity and efficiency through the adoption of engineering best practices
 </li>
 <li>
 Take ownership of code quality through testing, code reviews, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with designing, developing and delivering robust engineering solutions in commercial environments (we primarily use Python, Typescript and AWS)
 </li>
 <li>
 Solid understanding of cloud infrastructure and CI/CD (e.g., AWS, Github Actions)
 </li>
 <li>
 Familiarity with modern software architecture and cloud design patterns
 </li>
 <li>
 Comfortable working in high-autonomy, collaborative environments, balancing urgency with quality
 </li>
 <li>
 Excellent problem-solving and technical debugging skills, with the ability to mitigate and solve complex issues
 </li>
 <li>
 Strong communication and stakeholder engagement abilities &ndash; able to explain technical concepts to all audiences
 
 
 </li>
 </ul>
 
 Personal Skills
 
 
 
 <ul>
 <li>
 Pragmatic &ndash; understand the trade-offs of software delivery
 </li>
 <li>
 Delivery-focused &ndash; success is measured by shipping great products, not just writing code
 </li>
 <li>
 Curious &ndash; ask questions, explore problems, and seek better solutions
 </li>
 <li>
 Collaborative &ndash; work independently when needed, but know when to bring others in
 </li>
 <li>
 Communicative &ndash; able to zoom in to technical detail or step back to evaluate the big picture
 
 
 </li>
 </ul>
 
 What`s in it for you?
 
 
 
 <ul>
 <li>
 Care: your mental and physical health is our priority. We offer competitive benefits package that includes but is not limited to comprehensive medical coverage, life-insurance, gym membership, fuel, internet and mobile allowances and provident fund
 </li>
 <li>
 Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
 </li>
 <li>
 Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
 </li>
 <li>
 Flexibility: Own your schedule &ndash; you are the one to decide when to start your working day. Just don&rsquo;t miss your regular team stand-up
 </li>
 <li>
 Opportunities: we value our specialists and always find the best options for them. Our Internal
 </li>
 <li>
 Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
 </li>
 <li>
 Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
 </li>
 <li>
 Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.
 
 
 With over 14 years of presence in Islamabad, our Pakistan team is a trusted force in redefining industries. We value every voice and invite experienced professionals to help shape tomorrow&rsquo;s digital experiences.
 
 
 Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn .
 
 
 
 Explore, empower, engineer with Ciklum!
 
 
 
 Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.
 
 
</div>

Senior Full Stack Engineer

Explore 254+ Big data engineer in Islamabad this May. Find roles across top companies and apply now to boost your career.

254 big data engineer jobs In Islamabad

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Backend AI & Data Pipeline Engineer

Data Engineer

Deep Learning Engineer

Senior Data Engineer

Senior Full Stack Engineer