36 Data Engineer jobs in Bahrain

Job Title: Data Engineer

Professional Training: SQL Development, SAS EG, SAS DI, Object-oriented Programming (e.g., C#, Java)

Experience: At least 3 years in relevant roles

We are seeking a Data Engineer with expertise in:

• Developing within databases, specifically Microsoft SQL Server and/or Oracle
• Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio
• SAS Information Maps, SAS BI, SAS Stored Processes, SAS Datasets & Libraries
• Configuring and installing applications on servers (Windows/Linux/Unix), with basic knowledge of DNS, Ports, and Firewalls
• Managing distributed systems and clusters for batch and streaming data (Hadoop/Spark, Kafka/Flink)
• Handling semi-structured data formats such as JSON and XML
• Programming in C# or Java
• Writing advanced SQL queries, stored procedures, and functions
• Experience with ETL tools like SAS DI, SAS Enterprise Guide, and Microsoft SQL Server
• Understanding of financial reporting (Balance Sheet, Profit and Loss) and risk reporting

• Consolidate and analyze financial data, including budgets, forecasts, and statements
• Build stored procedures and ETL jobs for data reconciliation
• Contribute to data warehouse design and database solutions
• Develop SQL Server T-SQL procedures/functions for batch processing and reporting
• Create SAS EG and SAS DI jobs
• Research and resolve financial data discrepancies, manage month-end closing processes
• Solve complex problems, perform testing and troubleshooting

• Regulatory compliance
• ETL/ETT/ETM tools and processes
• Data warehouses and marts
• Financial data modeling and analysis

Technology Tools: SAS, SAS BI, MS SQL Server, T-SQL

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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.

• Design, develop, and implement efficient and scalable data warehouse solutions using cloud platforms (e.g., Snowflake, Redshift, BigQuery).
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Optimize database performance and ensure data integrity, accuracy, and availability.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Develop and enforce data governance policies and standards.
• Implement data modeling techniques (e.g., Kimball, Inmon) to support analytical needs.
• Monitor data warehouse systems, troubleshoot issues, and implement solutions for performance enhancement.
• Stay current with emerging technologies in data engineering, cloud computing, and big data.
• Write and optimize SQL queries and scripts for data manipulation and analysis.
• Mentor junior data engineers and contribute to team knowledge sharing.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree is a plus.
• 5+ years of hands-on experience in data engineering, with a strong focus on data warehousing.
• Proficiency in SQL and experience with at least one major cloud data warehouse platform (Snowflake, Redshift, BigQuery).
• Strong experience with ETL/ELT tools and frameworks (e.g., Talend, Informatica, Apache Airflow, dbt).
• Proficiency in at least one programming language (e.g., Python, Java, Scala).
• Solid understanding of data modeling concepts and database design principles.
• Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.

Overview

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior Data Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. Weu2019re on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and youu2019re motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

• Utilise advanced data analytics to grow Canonical's product adoption and market penetration
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
• Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
• Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesise and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

• Fully remote working environment - weu2019ve been working remotely since 2004
• Personal learning and development budget of 2,000 USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at sprints
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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

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)

• Design, construct, install, and maintain highly scalable data management systems and robust ETL/ELT pipelines.
• Develop and optimize data processing frameworks to ensure efficiency and performance.
• Integrate new data management tools and technologies into the existing data architecture.
• Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Monitor data system performance and troubleshoot issues proactively.
• Automate data processes and workflows for maximum efficiency.
• Implement and maintain data governance policies and procedures.
• Provide technical guidance and mentorship to junior data engineers.
• Stay current with emerging trends and technologies in data engineering and big data.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 5 years of experience in data engineering, database development, or data warehousing.
• Proven experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery, Snowflake).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Proficiency in designing and implementing ETL/ELT processes and tools (e.g., Airflow, Talend, Informatica).
• Excellent problem-solving and analytical skills.
• Strong understanding of data modeling, data warehousing concepts, and data architecture principles.
• Exceptional communication and collaboration skills, adept at working in a fully remote environment.

• Design, build, and optimize robust and scalable data pipelines (ETL/ELT).
• Develop and manage data warehousing solutions and data lakes.
• Ensure data quality, integrity, and reliability across all data systems.
• Implement and maintain data governance and security policies.
• Utilize big data technologies (e.g., Spark, Hadoop, Kafka) and cloud data services.
• Develop efficient data models for analytics and reporting.
• Collaborate with data scientists and analysts to understand and fulfill data requirements.
• Troubleshoot and resolve complex data-related issues.
• Write high-quality code in Python, Scala, or similar languages.
• Stay updated with the latest trends in data engineering and big data technologies.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Significant professional experience in data engineering.
• Proficiency in SQL, Python, and/or Scala.
• Expertise in big data technologies (Spark, Hadoop, Kafka).
• Hands-on experience with cloud data platforms (AWS, Azure, GCP).
• Strong understanding of data modeling and database design.
• Excellent analytical and problem-solving skills.
• Ability to work effectively in a fully remote team.