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Home/Jobs/Senior Data Engineer
HALA logo
HALA

Senior Data Engineer

🇸🇦 Riyadh, Saudi Arabia🏢 On-site
Data EngineeringApache KafkaDebeziumConfluentCDCData WarehousingOracleSQL
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Who Are We

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.

HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.

Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.

Role Overview
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize large-scale, distributed data infrastructure that powers advanced analytics and real-time intelligence across the organization. The role requires deep technical expertise in Kafka-based CDC pipelines, cloud data warehousing, and database optimization.

Key Responsibilities

• Data Infrastructure Design & Development

• Architect and maintain robust real-time data pipelines using Apache Kafka, Debezium, and Confluent connectors (Oracle, MongoDB, BigQuery, etc.).

• Implement robust CDC pipelines that maintains efficient message delivery and data integrity and fault-tolerant.

• Develop and automate ETL/ELT workflows within platforms such as Dataiku or custom Python/SQL frameworks.

• Database Engineering & Optimization

• Administer and tune large-scale Oracle databases including partitioning, indexing, and performance tuning for analytical workloads.

• Design data models that support both operational reporting and advanced analytics.

• Develop SQL reporting queries and reconciliation logic to ensure transactional consistency across multiple systems.

• Cloud & Integration Engineering

• Build and manage integrations across hybrid environments.

• Lead and synchronize efforts between on-prem systems and cloud warehouses.

• Implement data validation, observability, and alerting frameworks for production pipelines.

• Data Governance & Automation

• Create metadata, lineage, and quality monitoring tools for datasets across domains.

• Ensure compliance with internal data policies, access control, and security standards.

• Collaboration

• Partner with analytics and product teams to translate business requirements into technical data solutions.

• Support cross-functional data initiatives from financial reporting to sector benchmarking and cultural GDP measurement frameworks.

What We Offer You
We believe you will love working at HALA!

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.

• We offer highly competitive compensation packages, including the potential for shares.

• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.

• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.

• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.

• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

If you think you have what it takes to join a remarkable team #apply_now

Requirements

  • •Design, build, and optimize large-scale, distributed data infrastructure
  • •Deep technical expertise in Kafka-based CDC pipelines
  • •Cloud data warehousing experience
  • •Database optimization skills
  • •Experience with Apache Kafka, Debezium, and Confluent connectors
  • •Experience with Oracle databases
  • •Experience designing data models
  • •Experience developing SQL reporting queries

Nice to Have

  • •Experience with BigQuery

Responsibilities

  • •Architect and maintain robust real-time data pipelines using Apache Kafka, Debezium, and Confluent connectors
  • •Implement robust CDC pipelines that maintains efficient message delivery and data integrity and fault-tolerant
  • •Develop and automate ETL/ELT workflows within platforms such as Dataiku or custom Python/SQL frameworks
  • •Administer and tune large-scale Oracle databases including partitioning, indexing, and performance tuning for analytical workloads
  • •Design data models that support both operational reporting and advanced analytics
  • •Develop SQL reporting queries and reconciliation logic to ensure transactional consistency across multiple systems

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