Data Engineer

• Company ADSS
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

ADSS is a successful retail and institutional brokerage based in Abu Dhabi with operations in the United Kingdom. The company is currently undergoing a multi-year transformation to become a faster growing, purpose-led, AI-driven enterprise that delivers market-leading personalized content, propositions and experiences to traders. To reinforce client-centricity the company structure, technology and operations are being redesigned alongside the crafting of a high-performance culture underpinned by a new set of core values which are about to be launched. The objective is for ADSS to become a dynamic and innovative, trusted market leader as measured by feedback from clients, talent, shareholders and competitors.

As a Data Engineer, you combine good data engineering and SQL skills, data modelling, integration knowledge with your business understanding, and strong analytical skills that enable you to deliver the expected benefits to the business.

You will be working with Databricks and Azure services and will have overview of Engineering activities within the Data team. You will have a point of view on information architecture, and how it can be evolved to support business strategy and functional requirements. You will play a key role in the Data transformation programme, interfacing with the Governance, Data Science, Reporting and Business partnering teams.

This is an exciting opportunity to influence the quality of data-based decision-making across the business while working with the latest technologies on a cloud-based environment in a multi-disciplinary team with analysts, data scientists, data engineers, and SMEs.

KEY RESPONSIBILITIES

• Contribute to the development of data platform and support analytics, ensuring easy and standardized access and sharing of data.
• You need to learn and work with Synapse, Databricks, Azure Events Hub and Azure Data Lake
• You will help evolve, build, and maintain data pipelines for multiple data sources and interface with system owners.
• Ensure consistency of data interfacing with governance and quality data capabilities and tools.
• Ensure the delivery of transformation backlog across source systems, derived tables and data products.
• Work closely together with senior and lead engineers to deliver new products and support BAU activities.
• Debug issues related to BAU, log JIRA and work on process enhancements.
• Conduct complex data analysis and report on results.
• You need to participate during on-call issues to support any critical failures.
• You need to support ad hoc data requests and production issues.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s Degree (Computer Science).
• Data Engineering certification (Azure Data Engineer or Google Certified Professional) is a plus.
• 4 – 7 years of experience in a similar role in the Financial Services industry
• The successful candidate will have excellent communication skills, political understanding, and excellent judgment of priorities
• Good debugging and problem-solving skills
• Bachelor/Masters degree or similar in engineering, computer science or equivalent combination of relevant training and work experience.
• Good knowledge in designing efficient and robust data pipelines, ETL workflows, data warehousing and Big Data processing.
• Strong with SQL, python and pyspark.
• Working experience and understanding of Azure Databricks, Azure Events Hub, Azure Data Lake, Azure Synapse, and Azure SQL is required.
• Experience in business processing mapping of data and analytics solutions.
• Experience with enterprise data modelling principles.