Remote Position29.01.26
AI SCORE 8.5

Senior Data Engineer - Shape the Future of Investment Data

$200K/year

About the Role

We are seeking a Senior Data Engineer to join our team and help shape the future of investment data. This role is based in Abu Dhabi, UAE, and offers a competitive salary of up to $200k base plus performance bonuses (tax-free). As a Senior Data Engineer, you will play a crucial role in building and scaling a modern data platform that supports research, analytics, and investment decision-making.

What You'll Do

  • Design, build, and maintain a scalable enterprise data platform and warehouse.
  • Develop robust data pipelines to ingest, process, and validate data from multiple internal and external sources.
  • Utilize common financial datasets such as Bloomberg, FactSet, and S&P Global.
  • Collaborate closely with quantitative researchers and investment teams to deliver high-quality, research-ready data products.
  • Implement data quality frameworks, governance controls, and monitoring systems.
  • Perform data cleansing, enrichment, and normalization to ensure accuracy and consistency.
  • Build and maintain documentation for data models, pipelines, and processes.
  • Integrate data systems with existing infrastructure and API middleware layers.
  • Contribute to data-related project planning and delivery.

Requirements

  • 5-10 years of experience in data engineering within financial services or a quantitative environment.
  • Strong proficiency in Python and SQL.
  • Extensive experience with modern data warehouses (e.g., Snowflake, Databricks, Redshift).
  • Hands-on experience with Airflow or similar orchestration tools.
  • Experience with Terraform and infrastructure as code.
  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD workflows (e.g., GitLab).
  • Familiarity with financial datasets such as Bloomberg, FactSet, and S&P Global.
  • Solid understanding of data modeling, data architecture, and governance principles.
  • Experience working directly with quantitative engineers and investment professionals.

Nice to Have

  • Experience with machine learning frameworks.
  • Knowledge of data visualization tools.
  • Familiarity with big data technologies (e.g., Hadoop, Spark).

What We Offer

  • Up to $200k base salary plus performance bonuses (tax-free).
  • Relocation assistance to Abu Dhabi, UAE.
  • Opportunity to shape and scale a core data platform from within.
  • Work in a highly technical, research-driven environment with real ownership.
  • Long-term career growth in a well-resourced, engineering-first environment.
Why This Job8.5 of 10

This Senior Data Engineer role offers a competitive salary and the chance to shape a core data platform in a leading investment firm. Relocation to Abu Dhabi is included.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python for data manipulation and ETL processes, with hands-on experience using frameworks like Pandas and PySpark to handle large datasets effectively.

Strong understanding of cloud services (AWS, Azure, GCP) and infrastructure as code, demonstrated through experience with Terraform for automated deployment of data pipelines.

Experience in building data workflows with orchestration tools like Airflow, showcasing an ability to design robust and scalable data pipelines in a fast-paced investment environment.

Learning Resources

Python for Data Engineeringcourse

Career Path

Senior Data Engineer(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
12.5%
AI Adoption
55%
Investment
+40%
Labour Demand
+25%
Avg Salary
$145K

Skills & Requirements

Required
PythonSQLSnowflake
Growing in Demand
Machine LearningData WarehousingETL Processes
Declining
HadoopMapReduce

Domain Trends

Rise of Real-Time Data Processing
With 70% of organizations prioritizing real-time data analytics, tools like Apache Kafka and Flink are becoming essential.
Increased Adoption of Cloud Data Platforms
Cloud data platforms like Snowflake and Databricks have seen a 60% increase in adoption, driven by the need for scalable data solutions.
Focus on Data Governance and Security
Over 65% of companies are investing in data governance frameworks to comply with regulations, enhancing the role of data engineers.

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