Explore numerous data engineer positions that involve designing, building, and maintaining data systems. These roles demand expertise in 21 Data Engineer jobs in Bahrain
Senior Data Engineer, Big Data Analytics
00210 Ghuraifa, Capital
BHD130000 Annually
WhatJobs
Posted 24 days ago
Job Viewed
Job Description
Our client, a prominent IT services firm, is looking for a highly skilled Senior Data Engineer to join their advanced analytics team. This role is based in the office, providing an opportunity for hands-on collaboration and mentorship. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support big data processing and analytics. The ideal candidate will have extensive experience with various big data technologies, cloud platforms, and database systems. You will work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust, efficient data solutions. Your expertise will be crucial in transforming raw data into actionable insights, enabling informed decision-making across the organization. This position requires a proactive approach to data management, performance optimization, and ensuring data quality and integrity.
Responsibilities:
Qualifications:
This challenging role is located in Jidhafs, Capital, BH , and requires dedicated on-site presence to foster close collaboration within the IT department.
Responsibilities:
- Design, develop, and implement scalable and robust data pipelines for ETL/ELT processes.
- Build and optimize data warehouses, data lakes, and other big data storage solutions.
- Integrate data from various sources, ensuring data quality, consistency, and accessibility.
- Collaborate with data scientists and analysts to provide them with the data needed for analysis and model building.
- Implement and manage big data technologies such as Hadoop, Spark, Kafka, and distributed databases.
- Optimize data processing jobs for performance and cost-efficiency.
- Ensure data security, privacy, and compliance with relevant regulations.
- Develop and maintain data governance policies and procedures.
- Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
- Mentor junior data engineers and contribute to the team's technical growth.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 6 years of experience in data engineering, with a strong focus on big data technologies.
- Proficiency in programming languages like Python, Scala, or Java.
- Extensive experience with distributed data processing frameworks (e.g., Apache Spark, Hadoop ecosystem).
- Hands-on experience with cloud platforms such as AWS (S3, EMR, Redshift), Azure (Data Lake, Databricks), or GCP (BigQuery, Dataflow).
- Strong knowledge of SQL and NoSQL databases.
- Experience with data warehousing concepts and dimensional modeling.
- Familiarity with data visualization tools is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a team-oriented, in-office environment.
This challenging role is located in Jidhafs, Capital, BH , and requires dedicated on-site presence to foster close collaboration within the IT department.
This advertiser has chosen not to accept applicants from your region.
0
Data Engineer
BHD30000 - BHD60000 Y
VAM Systems
Posted today
Job Viewed
Job Description
Experience Required:
Experience in the following tools (3+ years)
- SAS Management Console
- SAS DI, SAS Enterprise Guide
- Base SAS
- SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, - SAS Information Maps, SAS BI
- SAS Stored Process, SAS Datasets & Library
- Experience to configure/install applications in the servers(windows/Linux/Unix) and
basic knowledge of DNS, Ports, and Firewalls (3+ years)
- Experience managing and further developing distributed systems and
clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
- Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
- Experience in C# or Java (3+ years)
- Banking and Finance, Financial accounting and Reporting Environment
- Expertise in writing advanced SQL Query, Stored Procedures and functions
- ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
- Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
- Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).
Responsibility
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company s goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
- Build SAS EG,SAS DI jobs
- Research and resolve discrepancies in financial data ,Manage the month-end close process.
Skills
- Solving Complex Problems
- Testing and Troubleshooting
- Regulatory Compliance
- Financial Reporting
- ETL/ETT/ETM Tools and Process
- Risk Management
- Data Warehouses
- Data Marts
- Balance Sheet,Profit & Loss,Market Risk
- Data Modeling
- SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch
Qualification
- BE Computer Science and Engineering
Professional Training
- SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer
BHD40000 - BHD60000 Y
VAM Systems
Posted today
Job Viewed
Job Description
Job Description
VAM Systems
is currently looking for
Data Engineer
for our
Bahrain
operations with the following skillsets & terms and conditions:
Qualifications :
- Bachelor's Degree
- Engineer (B.E.)/ MCA
- Certification in SQL/SAS
Experience : 5-8 years
Key Objectives
- Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.
Analytical/Technical Skills
:
- Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
- Hands-on experience on MS Excel
- Prior project management/stakeholder management is desired
Responsibilities
- Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
- Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
- Mastering the Intersection of Finance, Data Analysis and Data Engineering.
- Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
- Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
- Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
- Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
- Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
- SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library
Terms and conditions
Joining time frame: days)
This advertiser has chosen not to accept applicants from your region.
2
Data Engineer
BHD9000 - BHD12000 Y
Unity Infotech
Posted today
Job Viewed
Job Description
We are pleased to announce an opening for a
Data Engineer
with strong expertise in the
banking domain
. This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.
Requirements and responsibilities:
- Recent banking domain experience
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
- Build SAS EG,SAS DI jobs
- Research and resolve discrepancies in financial data ,Manage the month-end close process.
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer - SAS
BHD60000 - BHD120000 Y
VAM SYSTEMS
Posted today
Job Viewed
Job Description
Job Description
VAM Systems is currently looking for Data Engineer - SAS for our Bahrain operations with the following skillsets and terms & conditions:
Qualification
- BE Computer Science and Engineering
Professional Training
- SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)
Experience Required:
Experience in the following tools (3+ years)
- SAS Management Console
- SAS DI, SAS Enterprise Guide
- Base SAS
- SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, - SAS Information Maps, SAS BI
- SAS Stored Process, SAS Datasets & Library
- Experience to configure/install applications in the servers(windows/Linux/Unix) and
basic knowledge of DNS, Ports, and Firewalls (3+ years)
- Experience managing and further developing distributed systems and
clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
- Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
- Experience in C# or Java (3+ years)
- Banking and Finance, Financial accounting and Reporting Environment
- Expertise in writing advanced SQL Query, Stored Procedures and functions
- ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
- Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
- Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).
Responsibility
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
- Build SAS EG,SAS DI jobs
- Research and resolve discrepancies in financial data ,Manage the month-end close process.
Skills
- Solving Complex Problems
- Testing and Troubleshooting
- Regulatory Compliance
- Financial Reporting
- ETL/ETT/ETM Tools and Process
- Risk Management
- Data Warehouses
- Data Marts
- Balance Sheet,Profit & Loss,Market Risk
- Data Modeling
- SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch
Domain : Bank
Years of Experience 5 + years
This advertiser has chosen not to accept applicants from your region.
4
SAS Data Engineer
BHD60000 - BHD120000 Y
VAM Systems
Posted today
Job Viewed
Job Description
Job Description
VAM Systems
is currently looking for
SAS Data Engineer
for our
Bahrain
operations with the following skillsets & terms and conditions:
Qualifications :
BE Computer Science and Engineering
Years of Experience :
4 - 6 years
Professional Training Required :
SQL Development, SAS EG, SAS DI
Certifications Required:
Database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required)
Skills
- SAS Management Console
- SAS DI, SAS Enterprise Guide
- Base SAS
- SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio,
- SAS Information Maps, SAS BI - SAS Stored Process, SAS Datasets & Library
- Knowledge in Banking and Finance, Financial accounting and Reporting Environment
- Expertise in writing advanced SQL Query, Stored Procedures and functions
- ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide and Microsoft SQL Server
- Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting
- Regulatory Compliance
- Financial Reporting
- ETL/ETT/ETM Tools and Process
- Risk Management
- Data Warehouses
- Data Marts
- Balance Sheet, Profit & Loss, Market Risk
- Data Modelling
Responsibility
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
- Build SAS EG,SAS DI jobs Job Responsibility 6 Research and resolve discrepancies in financial data ,Manage the month-end close process.
Terms and conditions
Joining time frame: days)
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Engineer
412 Southern, Southern
BHD7200 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is actively recruiting a highly skilled and experienced Senior Data Engineer to join their innovative IT department in Nuwaidrat, Southern, BH . This role is instrumental in designing, developing, and maintaining robust data pipelines and infrastructure that support the organization's analytical and operational needs. You will be responsible for building scalable and efficient data solutions, ensuring data quality, integrity, and accessibility. The ideal candidate will possess deep expertise in data warehousing, ETL/ELT processes, and big data technologies. Proficiency in programming languages such as Python, SQL, and Java is required, along with experience in cloud platforms like AWS, Azure, or GCP. You will work closely with data scientists, analysts, and business stakeholders to understand their data requirements and translate them into technical solutions. A significant part of your role will involve optimizing data models, performance tuning, and ensuring the security of data assets. Experience with distributed data processing frameworks such as Spark or Hadoop is highly desirable. You will also play a key role in evaluating and implementing new data technologies and tools to enhance our data capabilities. This position demands strong problem-solving skills, a meticulous attention to detail, and the ability to manage complex data projects. Excellent communication and collaboration skills are essential for working effectively within a team and explaining technical concepts to non-technical audiences. You will contribute significantly to building a data-driven culture and enabling informed decision-making across the organization. If you are a passionate data professional looking to make a substantial impact in a dynamic environment, this opportunity in Nuwaidrat, Southern, BH is for you. Your expertise will be crucial in driving our client's data strategy forward.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Data Engineer
4000 Zallaq, Southern
BHD80000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking an experienced and highly motivated Lead Data Engineer to spearhead their data infrastructure initiatives in Zallaq, Southern, BH . This senior role is crucial for designing, building, and maintaining scalable and reliable data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will have a strong background in data architecture, ETL/ELT processes, big data technologies, and cloud data warehousing. You will be responsible for leading a team of data engineers, setting technical direction, and implementing best practices in data management and processing. Key responsibilities include architecting robust data solutions, developing efficient data models, and ensuring the integrity and availability of data for analytics and reporting. Experience with various database technologies, data orchestration tools, and programming languages such as Python or Scala is essential. The Lead Data Engineer will collaborate closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver high-quality data products. A passion for optimizing data performance, managing data governance, and ensuring data security is vital. This role offers a significant opportunity to shape the data landscape of a growing company and mentor a talented team.
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and manage robust data warehousing solutions.
- Ensure data quality, integrity, and reliability across all data systems.
- Lead and mentor a team of data engineers.
- Collaborate with data scientists and analysts to provide data support.
- Optimize data infrastructure for performance and cost-efficiency.
- Implement data governance and security best practices.
- Select and implement appropriate big data technologies.
- Automate data processes and improve operational efficiency.
- Contribute to the overall data strategy and roadmap.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum 7 years of experience in data engineering or a related role.
- Proven experience in designing and implementing data warehousing solutions.
- Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, Snowflake, Redshift).
- Hands-on experience with big data technologies (e.g., Spark, Hadoop).
- Strong programming skills in Python, Scala, or Java.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Familiarity with data orchestration tools (e.g., Airflow, Prefect).
- Excellent leadership, communication, and problem-solving skills.
- Experience with data modeling and schema design.
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Engineer
24680 Bilad Al Qadeem, Capital
BHD140000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Data Engineer to join their fully remote, data-driven organization. This role is critical in designing, building, and maintaining scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence initiatives. You will work with vast datasets, ensuring data quality, reliability, and accessibility for various stakeholders. The ideal candidate possesses a strong understanding of data warehousing concepts, ETL/ELT processes, big data technologies, and cloud platforms (AWS, Azure, or GCP). You will be responsible for architecting robust data models, optimizing data storage and processing, and implementing data governance best practices. This is a remote-first position, demanding excellent self-management, communication, and collaboration skills to effectively partner with teams across different time zones. You will contribute to the entire data lifecycle, from data ingestion and transformation to serving data for analytical and operational use cases. Your responsibilities will include developing and deploying batch and real-time data processing solutions, building and managing data lakes and warehouses, writing efficient SQL and Python scripts, and implementing data quality checks and monitoring. The successful candidate will have a proven track record in designing and implementing complex data solutions, a passion for data excellence, and the ability to troubleshoot and resolve data-related issues. This role offers the opportunity to work with a talented team, tackle challenging data problems, and contribute to significant data projects, all within a supportive and flexible remote work environment. The ability to work independently and as part of a virtual team is essential for success in this role.
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and manage data warehouses, data lakes, and other data storage solutions.
- Optimize data retrieval and processing performance.
- Implement data quality frameworks and monitoring solutions.
- Collaborate with data scientists and analysts to provide them with reliable data.
- Write complex SQL queries and Python scripts for data manipulation and analysis.
- Ensure data security and compliance with relevant regulations.
- Evaluate and integrate new data technologies and tools.
- Document data architecture, pipelines, and processes.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a related role.
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Strong knowledge of cloud data services (AWS S3, Redshift, Glue; Azure Data Lake, SQL Data Warehouse; GCP BigQuery, Dataflow).
- Experience with data warehousing concepts and methodologies.
- Familiarity with data modeling and database design.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities for remote work.
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Engineer
401 Galali
BHD90000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a talented and experienced Senior Data Engineer to join their dynamic IT team. This hybrid role offers the opportunity to work both remotely and on-site at their offices in Sanad, Capital, BH . You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support the company's data analytics and business intelligence initiatives. The ideal candidate will have a strong background in data warehousing, ETL processes, and big data technologies, with a passion for transforming raw data into actionable insights.
Responsibilities:
Responsibilities:
- Design, develop, and optimize robust and scalable data pipelines for data ingestion, transformation, and processing.
- Build and maintain data warehouses, data lakes, and other data storage solutions.
- Develop and implement ETL/ELT processes to integrate data from various sources.
- Ensure data quality, integrity, and reliability across all data systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Monitor data pipeline performance and troubleshoot issues proactively.
- Implement data governance policies and ensure compliance with data privacy regulations.
- Explore and evaluate new data technologies and methodologies to improve data infrastructure.
- Optimize database performance and query efficiency.
- Create and maintain technical documentation for data pipelines and infrastructure.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of professional experience in data engineering or a related role.
- Proven expertise in designing and implementing ETL/ELT pipelines using tools like Apache Spark, Flink, or similar.
- Strong proficiency in SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases).
- Experience with cloud data platforms such as AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
- Familiarity with data modeling concepts and data warehousing principles.
- Proficiency in programming languages such as Python, Java, or Scala.
- Understanding of big data technologies like Hadoop, Hive, or Kafka.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences.
This advertiser has chosen not to accept applicants from your region.
9