CrawlJobs Logo

Data Engineer

coca-colahellenic.com Logo

Coca-Cola HBC

Location Icon

Location:
Egypt , Cairo

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital & Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.

Job Responsibility:

  • Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles
  • Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency
  • Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle
  • Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner
  • Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments
  • Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring
  • Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices
  • Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles
  • Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications
  • Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement
  • Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies
  • Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows
  • Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security

Requirements:

  • Bachelor’s degree in computer science, engineering, or a related discipline (or equivalent practical experience)
  • Two or more years of professional experience
  • Microsoft Azure Data Engineer certification is considered an advantage
  • Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
  • Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads
  • Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data
  • Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments
  • Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows
  • A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring
What we offer:
  • Coaching and mentoring programs
  • Development opportunities
  • Equal opportunity employer
  • IT Equipment
  • Learning programs
  • Work with iconic brands
  • Supportive team
  • Volunteering Opportunities

Additional Information:

Job Posted:
February 14, 2026

Work Type:
Hybrid work
Icon
Coca-Cola HBC - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Engineer

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in Data Engineering and AI/ML roles
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
  • Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
  • Amazon S3 (Parquet) with lifecycle management to Glacier
  • AWS Glue Catalog and Crawlers
  • AWS Step Functions, AWS Lambda, Amazon EventBridge
  • CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
  • Amazon Redshift and Redshift Spectrum
  • IAM (least privilege), Secrets Manager, SSM
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
  • Develop and optimize data architectures supporting analytics and ML workflows
  • Ensure data integrity, security, and compliance with organizational and industry standards
  • Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
  • Build predictive and prescriptive models leveraging AI and ML techniques
  • Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
  • Perform feature engineering, statistical analysis, and data preprocessing
  • Continuously monitor and optimize models for accuracy and scalability
  • Integrate AI-driven insights into business processes and strategies
  • Serve as the technical liaison between NStarX and client teams
What we offer
What we offer
  • Competitive salary and performance-based incentives
  • Opportunity to work on cutting-edge AI and ML projects
  • Exposure to global clients and international project delivery
  • Continuous learning and professional development opportunities
  • Competitive base + commission
  • Fast growth into leadership roles
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
146000.00 - 198000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
  • Bonus opportunities
  • Equity
  • Fulltime
Read More
Arrow Right

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
Canada , Toronto
Salary
Salary:
124000.00 - 145000.00 CAD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • bonus opportunities
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join their product DE team. T...
Location
Location
United States , Seattle; San Francisco; Mountain View
Salary
Salary:
135600.00 - 217800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Partner across engineering teams to tackle company-wide initiatives
  • Mentor junior members of the team
  • Partner with leadership, engineers, program managers and data scientists to understand data needs
  • Apply expertise and build scalable data solution
  • Develop and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
  • Intelligently design data models for storage and retrieval
  • Deploy data quality checks to ensure high quality of data
  • Ownership of the end-to-end data engineering component of the solution
  • Support on-call shift to support the team
  • Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
Job Responsibility
Job Responsibility
  • Build top-notch data solutions and data architecture to inform our most critical strategic and real-time decisions
  • Help translate business needs into data requirements and identify efficiency opportunities
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for a Senior Data Engineer to join our product DE team and report...
Location
Location
United States , Seattle; San Francisco; Mountain View
Salary
Salary:
135600.00 - 217800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Partner across engineering teams to tackle company-wide initiatives
  • Mentor junior members of the team
  • Partner with leadership, engineers, program managers and data scientists to understand data needs
  • Apply expertise and build scalable data solution
  • Develop and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
  • Intelligently design data models for storage and retrieval
  • Deploy data quality checks to ensure high quality of data
  • Ownership of the end-to-end data engineering component of the solution
  • Support on-call shift as needed to support the team
  • Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
Job Responsibility
Job Responsibility
  • Build top-notch data solutions and data architecture to inform our most critical strategic and real-time decisions
  • Help translate business needs into data requirements and identify efficiency opportunities
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...
Location
Location
United States , Chicago
Salary
Salary:
130000.00 USD / Year
akunacapital.com Logo
AKUNA CAPITAL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
  • 5+ years of professional experience developing software applications
  • Java/Scala experience required
  • Highly motivated and willing to take ownership of high-impact projects upon arrival
  • Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
  • Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
  • Must possess excellent communication, analytical, and problem-solving skills
  • Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
  • Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
Job Responsibility
Job Responsibility
  • Work within a growing Data Engineering division supporting the strategic role of data at Akuna
  • Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
  • Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
  • Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
  • Mentor junior engineers in software and data engineering best practices
  • Produce clean, well-tested, and documented code with a clear design to support mission critical applications
  • Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
  • Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack
What we offer
What we offer
  • Discretionary performance bonus
  • Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy