CrawlJobs Logo
Citi Logo Citi · IT - Software Development

Big Data Platform Senior Engineer

Bahrain, Seef, Manama · Job Posted November 21, 2025
Apply Position
Job Link Share

Job Description

Lead Java Data Engineer to guide and mentor a talented team of engineers in building and maintaining Citi's next-generation data platform. The Data Platform is the backbone of Fixed Income Capital Markets trading, providing low latency, high concurrency, scalability, and availability needed to power groundbreaking solutions.

Job Responsibility

  • Provide technical leadership and mentorship to a team of data engineers
  • Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
  • Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
  • Continuously identify and implement performance optimizations across the data platform
  • Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
  • Drive the timely and high-quality delivery of data platform projects

Requirements

  • Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
  • Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
  • Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
  • Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
  • Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
  • Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
  • Excellent problem-solving skills and data-driven approach to decision-making

Nice to have

  • Previous experience at tier-1 investment banks or major financial institutions
  • Experience with real-time streaming analytics and low-latency system optimization
Citi - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Big Data Platform Senior Engineer

8 matching positions

Senior Data Engineer

We are looking for a Senior Data Engineer with a collaborative, “can-do” attitud...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
  • 5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
  • 5+ years of experience with setting up and operating data pipelines using Python or SQL
  • 5+ years of advanced SQL Programming: PL/SQL, T-SQL
  • 5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
  • Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
  • 5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
  • 5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
  • 5+ years of experience in defining and enabling data quality standards for auditing, and monitoring
  • Strong analytical abilities and a strong intellectual curiosity
Job Responsibility
Job Responsibility
  • Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
  • Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options
  • Determine solutions that are best suited to develop a pipeline for a particular data source
  • Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
  • Efficient in ETL/ELT development using Azure cloud services and Snowflake, Testing and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
  • Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics delivery
  • Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
  • Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
  • Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
  • Build cross-platform data strategy to aggregate multiple sources and process development datasets
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Engineering, Computer Science or related discipline
  • Master's Degree preferred
  • 5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
  • 5+ years of experience with setting up and operating data pipelines using Python or SQL
  • 5+ years of advanced SQL Programming: PL/SQL, T-SQL
  • 5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
  • Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
  • 5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
  • 5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
  • 5+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Job Responsibility
Job Responsibility
  • Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
  • Determine solutions that are best suited to develop a pipeline for a particular data source
  • Develop data flow pipelines to extract, transform, and load data from various data sources
  • Efficient in ETL/ELT development using Azure cloud services and Snowflake
  • Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
  • Provide clear documentation for delivered solutions and processes
  • Identify and implement internal process improvements for data management
  • Stay current with and adopt new tools and applications
  • Build cross-platform data strategy to aggregate multiple sources
  • Proactive in stakeholder communication, mentor/guide junior resources
  • Fulltime
Read More
Arrow Right

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...
Location
Location
Canada , Mississauga
Salary
Salary:
94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years of Experience in Big Data Engineering (PySpark)
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
  • Proficiency in programming languages like Python, or Scala
  • Strong expertise in data processing frameworks such as Apache Spark, Hadoop
  • Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
  • Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
  • Experience with data orchestration tools like Apache Airflow or Prefect
  • Familiarity with containerization (Docker, Kubernetes) is a plus
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
  • Fulltime
Read More
Arrow Right

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...
Location
Location
Canada , Mississauga
Salary
Salary:
94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years of Experience in Big Data Engineering (PySpark)
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
  • Proficiency in programming languages like Python, or Scala
  • Strong expertise in data processing frameworks such as Apache Spark, Hadoop
  • Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
  • Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
  • Experience with data orchestration tools like Apache Airflow or Prefect
  • Familiarity with containerization (Docker, Kubernetes) is a plus
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
What we offer
What we offer
  • Well-being support
  • Growth opportunities
  • Work-life balance support
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...
Location
Location
United States
Salary
Salary:
130000.00 - 155000.00 USD / Year
adswerve.com Logo
Adswerve, Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience in a data engineering, analytics, or marketing technology role
  • Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
  • Strong proficiency in SQL and hands-on experience with data transformation and modeling
  • Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
  • Experience with ingress/egress patterns and interacting with API’s to move data
  • Experience with Python, or JavaScript in a data or scripting context
  • Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
  • Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
  • Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
  • Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
  • Implement schema mapping, identity resolution, and data governance strategies
  • Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
  • Conduct data quality assessments and support QA for new source integrations and activations
  • Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
  • Simplify complex technical concepts and educate team members and clients in a clear, approachable way
  • Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
  • Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies
What we offer
What we offer
  • Medical, dental and vision available for employees
  • Paid time off including vacation, sick leave & company holidays
  • Paid volunteer time
  • Flexible working hours
  • Summer Fridays
  • “Work From Home Light” days between Christmas and New Year’s Day
  • 401(k) Plan with 5% company match and no vesting period
  • Employer Paid Parental Leave
  • Health-care Spending Accounts
  • Dependent-care Spending Accounts
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

As a Senior Data Engineer at Corporate Tools, you will work closely with our Sof...
Location
Location
United States
Salary
Salary:
150000.00 USD / Year
corporatetools.com Logo
Corporate Tools
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s (BA or BS) in computer science, or related field
  • 2+ years in a full stack development role
  • 4+ years of experience working in a data engineer role, or related position
  • 2+ years of experience standing up and maintaining a Redshift warehouse
  • 4+ years of experience with Postgres, specifically with RDS
  • 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions
  • Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies
  • Experience working with both analytical and transactional databases
  • Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases
  • Experience with Grafana or other monitoring/charting systems
Job Responsibility
Job Responsibility
  • Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech)
  • Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources
  • Consume data from roughly 40 different sources
  • Collaborate closely with our Data Analysts to get them the data they need
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Improve existing data models while implementing new business capabilities and integration points
  • Creating proactive monitoring so we learn about data breakages or inconsistencies right away
  • Maintaining internal documentation of how the data is housed and transformed
  • Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools
  • Stay current with latest cloud technologies, patterns, and methodologies
What we offer
What we offer
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
  • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
  • The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
  • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are currently looking for a Data Engineer to join our client’s forward-thinki...
Location
Location
United Kingdom , London
Salary
Salary:
70000.00 - 75000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience leading data engineering initiatives in a cloud environment
  • Expertise in Azure Synapse Analytics (SQL pools, Spark, pipelines, serverless SQL)
  • Hands-on experience with Microsoft Fabric (OneLake, Lakehouse, Data Engineering/Data Science workloads)
  • Strong SQL skills (T-SQL, Synapse SQL, Lakehouse SQL)
  • Experience with Python and/or Spark for big data processing
  • Knowledge of cloud data architecture (ADLS Gen2, Delta Lake, Parquet)
  • Understanding of data governance, security, and compliance standards
Job Responsibility
Job Responsibility
  • Lead and mentor internal and external data engineering teams to deliver best-in-class cloud solutions
  • Design, build, and optimise enterprise data platforms using Azure Synapse, Microsoft Fabric, OneLake, and lakehouse architectures
  • Modernise traditional ETL/ELT processes and transition workloads to cloud-native tools
  • Develop scalable data pipelines, Spark-based processing, and dataflows for unified analytics
  • Implement governance, security, and compliance standards across all cloud data environments
  • Collaborate with stakeholders to support high-value analytics and Power BI initiatives
  • Produce documentation, technical designs, and support materials to enable continuous improvement
What we offer
What we offer
  • Competitive salary
  • Strong benefits package
  • Hybrid working model
  • Opportunity to own and shape a modern cloud data ecosystem
  • Continuous training and professional development in Microsoft Fabric, Azure, and modern data engineering
  • Clear path for career progression within a growing data organisation
  • Supportive, innovative, and people-focused working environment
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Location
Location
Salary
Salary:
Not provided
kloud9.nyc Logo
Kloud9
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in developing scalable Big Data applications or solutions on distributed platforms
  • 4+ years of experience working with distributed technology tools, including Spark, Python, Scala
  • Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
  • Proficient in working on Amazon Web Services(AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
  • Experience working in Agile and Scrum development process
  • 3+ years of experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
  • Experience architecting data product in Streaming, Serverless and Microservices Architecture and platform
  • 3+ years of experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta)
  • Experience with creating/configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.
  • Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.
Job Responsibility
Job Responsibility
  • Design and develop scalable Big Data applications on distributed platforms to support large-scale data processing and analytics needs
  • Partner with others in solving complex problems by taking a broad perspective to identify innovative solutions
  • Build positive relationships across Product and Engineering
  • Influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Quickly pick up new programming languages, technologies, and frameworks
  • Collaborate effectively in a high-speed, results-driven work environment to meet project deadlines and business goals
  • Utilize Data Warehousing tools such as SQL databases, Presto, and Snowflake for efficient data storage, querying, and analysis
  • Demonstrate experience in learning new technologies and skills.
What we offer
What we offer
  • Kloud9 provides a robust compensation package and a forward-looking opportunity for growth in emerging fields.
Read More
Arrow Right