What Jobs are available for Data Engineers in Abu Dhabi?

- ML/Data Scientist and Backend Engineers

Job Location: India

Number Of Positions: 6

Work Experience: 8-10 years

Profile Send by Date:

Job Description

Our client in Abu Dhabi is looking for the following:

• 2x Senior ML Engineers / Data Scientists
• 4x Software Engineers

Requirements

ML & (OR) Data Scientist

• 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
• Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
• Master's or PhD in AI, Data Science, Statistics, Computer Science, or a related field.
• Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
• Strong analytical and statistical modeling skills.
• Experience with machine learning (Generative AI) frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
• Proven track record of applying data science to solve real-world problems.
• Excellent communication and collaboration skills.

Send Your Resume

Resume/CV*

Full Name*

Email Address*

Phone Number*

By submitting my profile, I agree to the Siri AB’s Privacy and GDPR Policy. I understand that my information will be used in accordance with GDPR regulations.

#J-18808-Ljbffr

Tasks

About the Role

We are an emerging AI-native product-driven, agile start-up under Abu Dhabi government AND we are seeking a motivated and technically versatile Data Engineer to join our team. You will play a key role in delivering data platforms, pipelines, and ML enablement within a Databricks on Azure environment.

As part of a stream-aligned delivery team, you’ll work closely with Data Scientists, Architects, and Product Managers to build scalable, high-quality data solutions for clients. You'll be empowered by a collaborative environment that values continuous learning, Agile best practices, and technical excellence.

Ideal candidates have strong hands-on experience in Databricks, Python, ADF and are comfortable in fast-paced, client-facing consulting engagements.

Skills and Experience requirements
1. Technical

• Databricks (or similar) e.g. Notebooks (Python, SQL), Delta Lake, job scheduling, clusters, and workspace management, Unity Catalog, access control awareness
• Cloud data engineering – ideally Azure, including storage (e.g., ADLS, S3, ADLS), compute, and secrets management
• Development languages such as Python, SQL, C#, javascript etc. especially data ingestion, cleaning, and transformation
• ETL / ELT – including structured logging, error handling, reprocessing strategies, APIs, flat files, databases, message queues, event streaming, event sourcing etc.
• Automated testing (ideally TDD), pairing/mobbing. Trunk Based Development, Continuous Deployment and Infrastructure-as-Code (Terraform)
• Git and CI/CD for notebooks, data pipelines, and deployments

2. Integration & Data Handling

• Experienced in delivering platforms for clients – including file transfer, APIS (REST etc.), SQL/NoSQL/graph databases, JSON, CSV, XML, Parquet etc
• Data validation and profiling - assess incoming data quality. Cope with schema drift, deduplication, and reconciliation
• Testing and monitoring pipelines: Unit tests for transformations, data checks, and pipeline observability

3. Working Style

• Comfortable leveraging the best of lean, agile and waterfall approaches. Can contribute to planning, estimation, and documentation, but also collaborative daily re-prioritisation
• Able to explain technical decisions to teammates or clients
• Documents decisions and keeps stakeholders informed
• Comfortable seeking support from other teams for Product, Databricks, Data architecture
• Happy to collaborate with Data Science team on complex subsystems

Requirements

Nice-to-haves

• MLflow or light MLOps experience (for the data science touchpoints)
• Dbt / dagster / airflow or similar transformation tools
• Understanding of security and compliance (esp. around client data)
• Past experience in consulting or client-facing roles

Candidate Requirements

• 5–8 years (minimum 3–4 years hands-on with cloud/data engineering, 1–2 years in Databricks/Azure, and team/project leadership exposure)
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Data Engineering

Job Type: Full-time

Benefits

Visa, Insurance, Yearly Flight Ticket, Bonus scheme, relocation logistics covered

Interviewing process consists of 2 or 3 technical/behavioral interviews

#J-18808-Ljbffr

About the Role

We are seeking a motivated and technically versatile Data Engineer to join our team. You will play a key role in delivering data platforms, pipelines, and ML enablement within a Databricks on Azure environment.

As part of a stream-aligned delivery team, you’ll work closely with Data Scientists, Architects, and Product Managers to build scalable, high-quality data solutions for clients. You'll be empowered by a collaborative environment that values continuous learning, Agile best practices, and technical excellence.

Ideal candidates have strong hands-on experience in Databricks, Python, ADF and are comfortable in fast-paced, client-facing consultingengagements.

Skills and Experience requirements

1. Technical

• Databricks (or similar) e.g. Notebooks (Python, SQL), Delta Lake, job scheduling, clusters, and workspace management, Unity Catalog, access control awareness
• Cloud data engineering – ideally Azure, including storage (e.g., ADLS, S3, ADLS), compute, and secrets management
• Development languages such as Python, SQL, C#, javascript etc. especially data ingestion, cleaning, and transformation
• ETL / ELT – including structured logging, error handling, reprocessing strategies, APIs, flat files, databases, message queues, event streaming, event sourcing etc.
• Automated testing (ideally TDD), pairing/mobbing. Trunk Based Development, Continuous Deployment and Infrastructure-as-Code (Terraform)
  

• Git and CI/CD for notebooks, data pipelines, and deployments

2. Integration & Data Handling

• Experienced in delivering platforms for clients – including file transfer, APIS (REST etc.), SQL/NoSQL/graph databases, JSON, CSV, XML, Parquet etc
  
• Data validation and profiling - assess incoming data quality. Cope with schema drift, deduplication, and reconciliation
  
• Testing and monitoring pipelines: Unit tests for transformations, data checks, and pipeline observability

3. WorkingStyle

• Comfortable leveraging the best of lean, agile and waterfall approaches. Can contribute to planning, estimation, and documentation, but also collaborative daily re-prioritisation
• Able to explain technical decisions to teammates or clients
• Documents decisions and keeps stakeholders informed
• Comfortable seeking support from other teams for Product, Databricks, Data architecture
• Happy to collaborate with Data Science team on complex subsystems

Nice-to-haves

• MLflow or light MLOps experience (for the data science touchpoints)
• Dbt / dagster / airflow or similar transformation tools
• Understanding of security and compliance (esp. around client data)
• Past experience in consulting or client-facing roles

Candidate Requirements

• 5–8 years (minimum 3–4 years hands-on with cloud/data engineering, 1–2 years in Databricks/Azure, and team/project leadership exposure)
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Data Engineering

Disclaimer:

This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.

#J-18808-Ljbffr

Job Title: Senior Data Engineer
Location: Abu Dhabi, UAE (Onsite)
Employment Type: Full-Time, Permanent

About the Role

We are seeking a highly skilled Senior Data Engineer with 7–10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.

Key Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance data pipelines.

• Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.

• Implement data models and warehouse solutions with a focus on Snowflake.

• Integrate and process data from diverse sources including SQL and NoSQL databases.

• Ensure data quality, governance, and security standards are maintained across all systems.

• Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.

• Work closely with business stakeholders to translate requirements into data engineering solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

Required Skills & Qualifications

• Experience: 7–10+ years of professional experience in data engineering.

• Programming: Proficiency in Python (mandatory).

• Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).

• Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).

• Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.

• Big Data: Experience handling large volumes of structured and unstructured data.

• Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.

Why Join Us

• Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.

• Collaborative work environment with cross-functional teams in cloud, data, and ML domains.

• Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.

#J-18808-Ljbffr

Employment Type: Full time

Timing: General

Work Mode: Work from Office/Hybrid

Experience: 8+ Years

Location: Abu Dhabi

What Are We?
We are an exclusive cloud services company, transforming the world with digital technology. We excel in serving customers with experienced, certified professional cloud talent. We are passionate about creating world-class human capital with hands-on cloud experience to build, migrate, and support complex cloud environments. We provide tailored services and solutions for each customer and measure our success based on the business outcomes we deliver.

Who are We?
We are a group of passionate software professionals who love to work together and grow together. We create and inspire each other every day. We are a purpose-driven collaborative team, dedicated to achieving mutual success. Our corporate culture is unique, and each employee is valued. We are committed to going the extra mile to satisfy our customers. Leveraging our cutting-edge expertise, we provide the best solutions to clients in the areas of Cloud, Data, and IoT.

Role and Responsibilities:
- Talk to client stakeholders and understand the requirements for building their data warehouse / data lake / data lakehouse.
- Design, develop, and maintain data pipelines in Azure Data Factory (ADF) for ETL from on-premise and cloud-based sources.
- Design, develop, and maintain data warehouses and data lakes in Azure.
- Run large data platform and related programs to provide business intelligence support.
- Design and develop data models to support business intelligence solutions.
- Implement best practices in data modeling and data warehousing.
- Troubleshoot and resolve issues related to ETL and data connections.

Skills Required:
- Excellent written and verbal communication skills.
- Excellent knowledge and experience in ADF.
- Well-versed with ADLS Gen 2.
- Knowledge of SQL for data extraction and transformation.
- Ability to work with various data sources (Excel, SQL databases, APIs, etc.).
- Knowledge in SAS would be an added advantage.
- Knowledge in Power BI would be an added advantage.

#J-18808-Ljbffr

Job Title: Senior Data Engineer
Location: Abu Dhabi, UAE (Onsite)
Employment Type: Full-Time, Permanent

About the Role

We are seeking a highly skilled Senior Data Engineer with 7–10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.

Key Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance data pipelines.

• Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.

• Implement data models and warehouse solutions with a focus on Snowflake.

• Integrate and process data from diverse sources including SQL and NoSQL databases.

• Ensure data quality, governance, and security standards are maintained across all systems.

• Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.

• Work closely with business stakeholders to translate requirements into data engineering solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

Required Skills & Qualifications

• Experience: 7–10+ years of professional experience in data engineering.

• Programming: Proficiency in Python (mandatory).

• Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).

• Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).

• Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.

• Big Data: Experience handling large volumes of structured and unstructured data.

• Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.

Why Join Us

• Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.

• Collaborative work environment with cross-functional teams in cloud, data, and ML domains.

• Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.

#J-18808-Ljbffr

Job Title: Senior Data Engineer
Location: Abu Dhabi, UAE (Onsite)
Employment Type: Full-Time, Permanent

About the Role

We are seeking a highly skilled Senior Data Engineer with 7–10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.

Key Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance data pipelines.

• Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.

• Implement data models and warehouse solutions with a focus on Snowflake.

• Integrate and process data from diverse sources including SQL and NoSQL databases.

• Ensure data quality, governance, and security standards are maintained across all systems.

• Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.

• Work closely with business stakeholders to translate requirements into data engineering solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

Required Skills & Qualifications

• Experience: 7–10+ years of professional experience in data engineering.

• Programming: Proficiency in Python (mandatory).

• Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).

• Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).

• Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.

• Big Data: Experience handling large volumes of structured and unstructured data.

• Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.

Why Join Us

• Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.

• Collaborative work environment with cross-functional teams in cloud, data, and ML domains.

• Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.

#J-18808-Ljbffr

Description
AWS have an exciting Data Center Operations Engineer opportunity in Dubai available for a UAE national with family book. AWS are committed to contributing towards the UAE's goal of employing 75,000 Emiratis in the private sector and Ministerial Resolution No.279.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is looking for a UAE National Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.
As an Engineering Operations Engineer, you will operate and maintain AWS DCs' world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.
If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC. Hear from one of our engineers in the UAE here - job responsibilities
SAFETY
- Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE
- You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS's), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
- Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
- Troubleshoot facility and rack-level events within internal SLAs
- Perform root cause analysis of equipment failures
- Drive innovation while reducing operational costs in the facilities
A day in the life
- Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
- Supervise contractors who perform servicing or preventive maintenance
- Perform the following tasks, with or without reasonable accommodation:
- Occasionally Move objects/material (weight limits in accordance with regulations)
- Work in outdoor weather conditions.
- Work in noisy environments
- Work at heights and from ladders
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- UAE National with family book
- Bachelor's degree Mechanical or Electrical Engineering
- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls), knowledge of key electrical competencies and theory
Preferred Qualifications
- Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.