Remote Data Jobs · ETL

We are looking for a passionate Senior Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. You will parse and transform structured and unstructured datasets, build Python-based automation for the parsing platform, and bring order to dirty and/or unstructured data.

Focusing on leading the design, development, optimization, and governance of enterprise-scale data platforms and pipelines on the Microsoft Azure cloud, this role requires a deep blend of technical expertise, architectural insight, and leadership skills. You will architect and implement scalable, secure, and cost-efficient cloud-native data solutions, primarily utilizing Azure Synapse Analytics.

The job involves being responsible for data ingestion, analysis, and migration, with a focus on Business Intelligence and data engineering. The candidate will develop, optimize, and maintain ETL/ELT pipelines to migrate data from various sources using PostgreSQL. They will also analyze and understand business requirements, transforming insights into actions.

Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory. Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting. Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. Collaborate with teams using Jira for task tracking and GitHub for code repository management.

Analyze and enable business requests for advanced data analytics and insights generation. Build, integrate and sustainably deploy data pipelines. Develop, maintain, optimize data structures in a data lake platform (data preparation, data ingestion, resource development, data quality). Conduct data integration across on-prem, cloud and hybrid infrastructure. Derive data model and architecture. Implement data security and privacy guidelines based on Bosch standards. Develop and implement data provisioning strategy (APIs, exports and others).

This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech. You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You’ll be responsible for building and improving our current capabilities while shaping the future roadmap.

This role blends deep technical database expertise with architectural leadership—driving performance, scalability, and data quality across the organization’s data ecosystem. This role sits at the intersection of engineering and business operations responsible for ensuring our data pipelines and warehouses are fast, reliable, and scalable. Architect and optimize data warehouse platforms and underlying database systems.

Seeking a Mid QA Engineer to focus on Data & ETL Testing. Requires strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts. Proficiency in SQL, RDBMS, and ETL validation. Experience validating reports and dashboards is needed.

Develop and maintain scalable data pipelines using Scala and Apache Spark, focusing on performance and reuse. Structure and evolve the medallion architecture (bronze, silver, gold), ensuring governance, traceability, and data quality. Implement solutions for data ingestion, transformation, and delivery in cloud and lakehouse environments. Define and apply data engineering best practices, including versioning, automated testing, and CI/CD.

As a Data Engineer Intern, you will work with an experienced data team to design, develop, and maintain our data systems and infrastructure. This internship provides hands-on experience with large datasets, building data pipelines, and using tools for data processing and analysis. You'll be contributing to projects that impact business decisions.