Job Vacancy at CRDB Bank: Specialist, Data Integration – October 2026

Job Overview

Job Title: Specialist, Data Integration
Employer: CRDB Bank Plc
Location: Tanzania Head Office
Department: Data Management Office
Reporting Line: Manager, Data Architecture and Integration
Number of Openings: 1
Employment Terms: Permanent
Application Deadline: 9 November 2026

About the Position

CRDB Bank Plc is seeking a qualified and experienced Specialist, Data Integration to join its Data Management Office.

The successful candidate will be responsible for designing, developing, and continuously improving secure, reliable, and scalable data integration solutions that enable the timely, accurate, and controlled movement of data across the Bank’s source systems, governed data platforms, and authorized consumers.

The role involves delivering batch, ETL/ELT, change data capture (CDC), streaming, managed file exchange, and approved data API integrations in accordance with the Bank’s architecture, security, data governance, and service standards.

The Specialist will also provide Level 2 and Level 3 support for complex or recurring integration failures, lead root-cause analysis, and implement permanent corrective solutions. Routine production monitoring, scheduled reruns, and first-line recovery remain the responsibility of Data Operations unless otherwise assigned under the approved service model.

Key Responsibilities

1. Design, develop, and unit-test batch ETL/ELT, CDC, and streaming pipelines using technologies such as Oracle Data Integrator (ODI), Oracle GoldenGate, Kafka, NiFi, Informatica, or lakehouse-native tools. Ensure pipelines follow approved architecture, naming conventions, and idempotent-load standards across source systems, staging, data warehouses, data marts, and lakehouses.
2. Onboard new data sources through the approved data source registration process by analysing source structures, agreeing on extraction methods and schedules with System Custodians, and preparing source-to-target mappings and interface specifications.
3. Monitor daily data loads, replication, and streaming lag; resolve failed jobs within agreed service-level agreements (SLAs); manage reruns and backfills with complete audit trails; and implement permanent fixes to reduce manual intervention.
4. Lead root-cause analysis for recurring integration incidents, including broken connections, schema drift, constraint violations, Kafka or GoldenGate lag, and stalled extractions. Track corrective actions to completion in collaboration with DICT and vendors.
5. Build reconciliation and validation controls into every pipeline, including row counts, hash and control totals, null checks, uniqueness and referential integrity checks, and schema-drift alerts. Quarantine and escalate failed data in accordance with the data quality standard operating procedures (SOPs).
6. Optimise extraction and loading performance through incremental loads, partitioning, parallel processing, and query optimisation, working with Database Administrators (DBAs) to meet batch-processing windows and real-time latency targets as data volumes grow.
7. Build and maintain governed APIs, file interfaces, and message interfaces for internal consumers, regulators such as RTSIS, and approved third parties, ensuring appropriate security, versioning, and service-level requirements.
8. Apply least-privilege service accounts, encryption in transit, personal data masking in non-production environments, and segregation between development, User Acceptance Testing (UAT), and production environments, in accordance with the Bank’s Information Security Policy and the Personal Data Protection Act, 2022.
9. Deliver all changes through version control, UAT, and change management processes. Maintain runbooks, interface catalogues, and technical documentation, and provide integration metadata and data lineage to the Master Data and Metadata Unit.
10. Contribute to Data Management Platform (DMP) and lakehouse migration, ODI and legacy interface rationalisation, and Master Data Management (MDM) synchronisation, including inbound CDC and outbound publication of golden records. Support knowledge transfer from vendors and implementation partners.

Qualifications and Requirements

Academic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Information Systems, or a related field.

Professional Experience

• A minimum of three years of experience in data integration, data engineering, ETL/ELT development, API integration, or enterprise data management within a complex technology environment.

Technical Knowledge and Skills

• Strong knowledge of DAMA-DMBOK2 principles covering Data Integration and Interoperability, Data Architecture, Data Modelling, Data Quality, Data Security, and Metadata Management.
• Knowledge of EDM Council’s Data Management Capability Assessment Model (DCAM), particularly data and technology architecture capabilities.
• Understanding of integration architectures and patterns, including batch ETL/ELT, CDC and replication, event streaming, publish-subscribe, REST APIs, file transfer, hub-and-spoke, and point-to-point designs.
• Knowledge of data warehouse, lakehouse, and dimensional modelling concepts.
• Advanced SQL and PL/SQL development and performance tuning on Oracle Exadata and Microsoft SQL Server.
• Hands-on experience with ETL/ELT, replication, and streaming technologies such as Oracle Data Integrator, Oracle GoldenGate, Informatica, SQL Server Integration Services (SSIS), Apache Kafka, and NiFi.
• Proficiency in Python, shell scripting, and data-processing automation tools. Experience with Spark/PySpark is an added advantage.
• Experience in API design and integration using REST, JSON, and XML.
• Experience with job scheduling and orchestration, version control using Git, and CI/CD practices for data pipelines.
• Strong analytical, troubleshooting, documentation, and communication skills, including the ability to explain technical concepts and issues to business and management stakeholders.

Additional Advantages

The following qualifications and knowledge will be an added advantage:

• Professional certifications in Oracle technologies, including ODI, GoldenGate, or Database; Confluent Kafka; Informatica; Databricks or Cloudera; or cloud data engineering.
• Certified Data Management Professional (CDMP) or DCAM certification.
• Knowledge of T24 core banking data structures.
• Understanding of Bank of Tanzania regulatory reporting requirements, including RTSIS.
• Knowledge of the Personal Data Protection Act, 2022.
• Familiarity with ITIL incident, problem, and change management practices.

CRDB Bank’s Commitment

CRDB Bank is committed to upholding sustainability and Environmental, Social, and Governance (ESG) practices. The Bank encourages applicants who share this commitment.

CRDB Bank also promotes an inclusive workplace. Applications from women and persons with disabilities are encouraged.

Important Notice: CRDB Bank does not charge any fees for the application or recruitment process. Applicants should disregard any requests for payment, as such requests do not represent the Bank’s practices.

Only shortlisted candidates will be contacted.

Application Instructions

Interested and qualified candidates should submit their applications through the official CRDB Bank careers portal.

CLICK/TAP HERE TO APPLY:

Application Deadline: 9 November 2026

Applicants are encouraged to review the vacancy requirements carefully and ensure that their qualifications and experience align with the position before applying.