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senior data analyst (logistics analytics) Jobs in Karachi

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senior data analyst ii (markets)

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data scientist

Jeeny

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
Job Brief: 
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences. 
 
Responsibilities:<ul><li>
Explore, clean, and analyze high-volume datasets.</li><li>
Develop predictive models</li><li>
Build dashboards and automated reports to track marketplace health</li><li>
Work with product and operations teams to define data requirements and design A/B experiments.</li><li>
Implement and monitor machine learning models in production with guidance from senior team members.</li><li>
Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>
At least 3 years of relevant experience.</li><li>
Strong Python (pandas, numpy, scikit-learn etc).</li><li>
Solid understanding of statistics, probability, and hypothesis testing.</li><li>
Familiarity with SQL and relational databases.</li><li>
Exposure to machine learning concepts and practical modeling projects.</li><li>
Excellent problem-solving and communication skills.</li></ul>
Nice to Have<ul><li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li><li>
Knowledge of geospatial analysis or real-time data streaming.</li></ul> 

Benefits 
What we offer:<ul><li>
Market Competitive Salary
 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li><li>
Learn &amp; Grow
 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li><li>
International Exposure
 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li><li>
Health Insurance
 
Full health coverage so you can focus on your goals with peace of mind.</li><li>
OPD Coverage
 
Outpatient visits? We&rsquo;ve got that covered for you.</li><li>
End of Service Benefit
 
Loyalty pays off, long-term service comes with financial rewards.</li><li>
Dollar Adjustment Allowance
 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li><li>
Internet Allowance
 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li><li>
Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li><li>
Learning &amp; Development Allowance
 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 
Company Culture 
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

Data Scientist

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief:
 
 
 
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Explore, clean, and analyze high-volume datasets
 </li>
 <li>
 Develop predictive models
 </li>
 <li>
 Build dashboards and automated reports to track marketplace health
 </li>
 <li>
 Work with product and operations teams to define data requirements and design A/B experiments
 </li>
 <li>
 Implement and monitor machine learning models in production with guidance from senior team members
 </li>
 <li>
 Document methodologies, code, and analysis for reproducibility and knowledgesharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 At least 3 years of relevant experience
 </li>
 <li>
 Strong Python (pandas, numpy, scikit-learn etc)
 </li>
 <li>
 Solid understanding of statistics, probability, and hypothesis testing
 </li>
 <li>
 Familiarity with SQL and relational databases
 </li>
 <li>
 Exposure to machine learning concepts and practical modeling projects
 </li>
 <li>
 Excellent problem-solving and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
 </li>
 <li>
 Knowledge of geospatial analysis or real-time data streaming
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

Delivery Hero

<div>Company Description 
foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 
Job Description 
As the Senior Manager, Data &amp; Analytics (Logistics) you will lead a team responsible for providing in-depth logistics insights, from geographical operations and fleet performance to delivery efficiency and cost optimization. You will work closely with the Logistics, Service Operations teams as well as other analytics teams to ensure that data-driven decision-making supports our scaling needs and improves customer satisfaction.
Responsibilities:<ul><li>
Lead and mentor a high-performing analytics team&mdash;providing hands-on support where needed&mdash;in structuring and solving complex logistics problems, leveraging agentic AI tools and advanced analytics to deliver actionable insights and scalable data products that drive measurable business impact.</li><li>
Elevate team capability and talent density by upskilling analysts and transforming the function from traditional BI reporting into a decision science partner closely aligned with business outcomes.</li><li>
Own logistics analytics outcomes end-to-end, managing complex projects from problem framing to execution and communicating clear, actionable recommendations to senior leadership.</li><li>
Build and scale data products and self-serve solutions, defining and standardizing metrics (e.g., productivity, delivery speed, cost) to enable faster, data-driven operational and strategic decisions.</li><li>
Partner cross-functionally with logistics, service operations, and analytics engineering to improve core processes such as route optimization, fleet utilization, and last-mile efficiency, while developing robust data models that accelerate time-to-insight.</li><li>
Drive strategic alignment with logistics leadership, shaping the analytics roadmap and translating business priorities into high-impact analytical initiatives in a fast-paced environment.</li><li>
Deliver thought leadership in decision science, applying rigorous analysis and impact quantification to inform trade-offs, unlock opportunities, and strengthen a data-driven culture.</li><li>
Translate data into executive-ready insights, synthesizing logistics KPIs, trends, and performance drivers into clear narratives that highlight risks, opportunities, and actions for efficiency gains.</li></ul>
Find out more about our Data Analytics folks here:<ul><li>
Turn insights into impact!</li><li>
Looking for a career in data analytics? This could be the opportunity for you!</li></ul> 

Qualifications 
<ul><li>
Bachelor&rsquo;s degree in a quantitative field or equivalent practical experience, with 10+ years in analytics/data science and a track record of building and leading high-performing teams.</li><li>
Proven impact in logistics, supply chain, or operations analytics, delivering measurable improvements in cost, efficiency, and service performance.</li><li>
Strong technical depth in SQL and Python, with experience in statistical modeling, experimentation (A/B testing/causal inference), and building scalable data products or analytical solutions.</li><li>
Exceptional problem-solving in ambiguous environments, with the ability to structure complex business problems and translate insights into clear decisions and actions.</li><li>
Experience partnering with senior stakeholders, influencing without authority, and driving alignment across cross-functional teams in fast-paced environments.</li><li>
Track record of raising the bar&mdash;hiring, mentoring, and developing talent, while elevating analytics from reporting to a decision science function that drives business outcomes.</li></ul> 

Additional Information 
What we offer:<ul><li>
A dynamic and challenging work environment.</li><li>
A company committed to developing you personally and professionally.</li><li>
A great working atmosphere with regular company and team events.</li><li>
A vibrant and international team committed to diversity and inclusion.</li><li>
Responsibility from day one in a fast growing and global company.</li><li>
Other benefits include free food, health and dental insurance, and learning and development opportunities!</li></ul>
foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.</div>

Senior Manager, Data & Analytics

ibex

<div>
 
 
 Job Purpose:
 
 
 
 ibex on behalf of its Global client seeking a versatile Analytics &amp; BI Specialist to join European Compliance Analytics team. This role provides crucial analytical support for EU Compliance team, working on key projects to support recurring &amp; ad hoc regulatory reporting, annual product oversight and governance, and conduct analysis to assess product performance, identify areas for improvement, and enhance customer outcomes, including more advanced and AI-enabled analytical work.
 
 
 
 
 
 You will be an analytics &lsquo;all-rounder&rsquo;, supporting both back-end data transformation and front-end analysis and visualization. A key part of your role will be assisting our team with delivering AI-driven analytics solutions into production. The ideal candidate is technically skilled, collaborative, and passionate about using data to solve complex business problems.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 
 Stakeholder Collaboration:
 
 work closely with business stakeholders and lead analysts to understand project requirements and help translate business needs into technical solutions
 </li>
 <li>
 
 Project Support:
 
 assist in the end-to-end delivery of analytics projects, from requirements gathering and data exploration to building, testing, and deploying solutions
 </li>
 <li>
 
 Data Modelling:
 
 contribute to the design, build, and maintenance of scalable and efficient data models using dbt and Microsoft Fabric semantic models and be confident working with large, complex and imperfect datasets
 </li>
 <li>
 
 BI &amp; Visualization:
 
 develop, maintain, and enhance dashboards and reports in Tableau and Power BI to provide actionable insights for the Compliance team
 </li>
 <li>
 
 Data Analytics:
 
 write complex and efficient SQL queries and Python scripts to extract, manipulate, and analyze large datasets to answer specific business questions
 </li>
 <li>
 
 Insight Generation:
 
 perform deep-dive analyses to identify trends, inefficiencies, and opportunities for improvement, presenting findings clearly to the team
 </li>
 <li>
 
 Data Governance:
 
 help champion data quality and consistency, ensuring that data is accurate, well-documented, and trusted by the business and support in the triaging of data governance tickets for the Data Governance Forum
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 Proven experience in data analytics, business intelligence or related role
 </li>
 <li>
 Bachelor&rsquo;s degree
 
 required
 
 in Mathematics, Economics, Statistics, Finance, Engineering, or any quantitative background
 </li>
 <li>
 4-5 years&rsquo; experience in data analytics, business intelligence, or related role
 </li>
 <li>
 Advanced SQL skills and proven working experience in data extraction, transformation and complex querying
 </li>
 <li>
 Strong experience with a modern BI visualization tool (e.g. Power BI, Tableau)
 </li>
 <li>
 Strong Python skills with proven experience in automation, scripting and advanced data analysis, including supporting machine learning and AI-based applications
 </li>
 <li>
 Demonstrable experience in data modelling
 </li>
 <li>
 Excellent communication and interpersonal skills; you must be comfortable handling &lsquo;client-facing&rsquo; or stakeholder conversations to understand requirements and present findings
 </li>
 <li>
 A strong analytical mindset with a high degree of business acumen and a proactive, problem-solving attitude
 </li>
 <li>
 Ability to manage multiple tasks and contribute to several projects simultaneously in a dynamic environment
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Specific experience with Power BI and writing DAX measures
 </li>
 <li>
 Experience with dbt for data transformation
 </li>
 <li>
 Familiarity with the Microsoft Fabric ecosystem
 </li>
 <li>
 Experience with building AI agents
 </li>
 <li>
 Knowledge of data warehousing concepts and cloud data platforms
 </li>
 </ul>
</div>

BI & Data Analytics Specialist

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 As a
 
 Senior Data Analyst (Logistics Analytics),
 
 you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you&rsquo;ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.
 
 
 <ul>
 <li>
 Own a logistics problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.
 </li>
 <li>
 Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.
 </li>
 <li>
 Apply advanced analytical methods, including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning.
 </li>
 <li>
 Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
 </li>
 <li>
 Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
 </li>
 <li>
 Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.
 </li>
 <li>
 Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
 </li>
 <li>
 Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.
 
 
 </li>
 </ul>
 Find out more about our Data Analytics folks here:
 
 
 <ul>
 <li>
 Turn insights into impact!
 </li>
 <li>
 Looking for a career in data analytics? This could be the opportunity for you!
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience, with 5&ndash;8 years of experience in analytics or data science.
 </li>
 <li>
 Proven experience in logistics, supply chain, or operations analytics, with a track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.
 </li>
 <li>
 Strong technical proficiency in SQL and Python, with experience working with large-scale datasets (e.g., writing efficient queries, optimizing performance, working with NoSQL or distributed data systems).
 </li>
 <li>
 Experience working with modern data platforms, preferably within the Google Cloud ecosystem (e.g., BigQuery, Vertex AI, Google Colab, Google Sheets), or similar cloud-based data stacks.
 </li>
 <li>
 Experience applying advanced analytical methods, including simulation, optimization, and statistical modeling to real-world business problems.
 </li>
 <li>
 Experience in causal inference and experimentation, including designing and analyzing experiments (e.g., A/B, cluster, switchback) and applying quasi-experimental methods (e.g., DiD, synthetic controls).
 </li>
 <li>
 Strong problem-solving and problem structuring skills, with the ability to independently navigate ambiguity and translate business questions into robust analytical approaches.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 A dynamic and challenging work environment.
 </li>
 <li>
 A company committed to developing you personally and professionally.
 </li>
 <li>
 A great working atmosphere with regular company and team events.
 </li>
 <li>
 A vibrant and international team committed to diversity and inclusion.
 </li>
 <li>
 Responsibility from day one in a fast growing and global company.
 </li>
 <li>
 Other benefits include free food, health and dental insurance, and learning and development opportunities!
 
 
 </li>
 </ul>
 foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
 
 
 In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.
</div>

Senior Data Analyst (Logistics Analytics)

<div>Company Description 
foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 
Job Description 
As a Senior Data Analyst (Logistics Analytics), you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you&rsquo;ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.<ul><li>
Own a logistics problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.</li><li>
Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.</li><li>
Apply advanced analytical methods, including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning.</li><li>
Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.</li><li>
Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.</li><li>
Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.</li><li>
Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.</li><li>
Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.</li></ul> 
Find out more about our Data Analytics folks here:<ul><li>
Turn insights into impact!</li><li>
Looking for a career in data analytics? This could be the opportunity for you!</li></ul> 

Qualifications 
<ul><li>
Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience, with 5&ndash;8 years of experience in analytics or data science.</li><li>
Proven experience in logistics, supply chain, or operations analytics, with a track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.</li><li>
Strong technical proficiency in SQL and Python, with experience working with large-scale datasets (e.g., writing efficient queries, optimizing performance, working with NoSQL or distributed data systems).</li><li>
Experience working with modern data platforms, preferably within the Google Cloud ecosystem (e.g., BigQuery, Vertex AI, Google Colab, Google Sheets), or similar cloud-based data stacks.</li><li>
Experience applying advanced analytical methods, including simulation, optimization, and statistical modeling to real-world business problems.</li><li>
Experience in causal inference and experimentation, including designing and analyzing experiments (e.g., A/B, cluster, switchback) and applying quasi-experimental methods (e.g., DiD, synthetic controls).</li><li>
Strong problem-solving and problem structuring skills, with the ability to independently navigate ambiguity and translate business questions into robust analytical approaches.</li></ul> 

Additional Information 
What we offer:<ul><li>
A dynamic and challenging work environment.</li><li>
A company committed to developing you personally and professionally.</li><li>
A great working atmosphere with regular company and team events.</li><li>
A vibrant and international team committed to diversity and inclusion.</li><li>
Responsibility from day one in a fast growing and global company.</li><li>
Other benefits include free food, health and dental insurance, and learning and development opportunities!</li></ul>
foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.</div>

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers. 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!<div><div>
The Division: 
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</div><div>
The Position: 
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</div><div>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div>

Data Engineer

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