Data Engineer – Job Opportunity at Living Goods

Job Description

About Living Goods

At Living Goods, we empower individuals to improve the health and well-being of their families, communities, and neighborhoods. We support a network of entrepreneurial health workers – similar to Avon-style sales agents – who go door-to-door, educating families on health practices and providing life-changing products. These include malaria and diarrhea treatments, safe delivery kits, fortified foods, clean cookstoves, water filters, and solar lights.

By combining public health expertise with business best practices, Living Goods is reducing child mortality while creating sustainable livelihoods for thousands of women across Uganda and Kenya. Our network of over 2,000 micro-entrepreneurs plays a critical role in teaching families how to live healthier lives while offering affordable, high-impact products.

As a member of the Branch Team, you will support Community Health Volunteers (CHVs) in delivering quality health services and generating sales of essential health products, contributing directly to healthier communities.

• Job Type: Full-time
• Location: Nairobi, Kenya
• Qualification: BA/BSc/HND in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Experience: Minimum 3 years
• Job Field: Data, Business Analysis & AI, ICT / Computer

Purpose of the Role

We are seeking a skilled Data Engineer to design, develop, and manage our data warehousing and analytics infrastructure. You will build and maintain ETL pipelines, manage relational and non-relational databases, optimize complex queries, and transform raw data into actionable insights for reporting and decision-making.

You will work closely with program teams, MLE, product management, and software engineering to understand data needs and deliver effective solutions. Reporting to the Senior Manager, Data Engineering & Architecture, you will be a key part of the Digital Health Team, ensuring data quality, security, and accessibility

Key Responsibilities

• Develop, maintain, and optimize ETL pipelines to extract, transform, and load data from structured and unstructured sources into a data warehouse.
• Design and implement data models (star schema, snowflake), physical data models, and analytical data structures.
• Write and optimize complex SQL queries to support reporting, analytics, and data validation.
• Conduct data discovery and quality assessments to ensure accuracy, completeness, and reliability of datasets.
• Monitor system performance, troubleshoot issues, and ensure data systems are operational.
• Prepare BI technical documentation including data dictionaries, ERDs, schemas, and process flows.
• Collaborate with BI developers and business users to capture requirements, define user stories, and create technical specifications.
• Support data governance, privacy, and security compliance across all projects.

Required Skills & Competencies

• Minimum 3 years of experience as a Data Engineer.
• Hands-on experience with cloud-based data warehouses such as AWS Redshift or Snowflake.
• Proficient in SQL and Python for advanced data querying and manipulation.
• Experienced with ETL tools like AWS Glue, Airbyte, or Talend.
• Strong knowledge of data modeling and transformation, including tools like dbt.
• Experience with workflow automation tools such as Airflow.
• Expertise in managingCouchDB or PostgreSQL databases, including performance tuning and complex queries.
• Skilled in BI tools such as Tableau, Power BI, or Superset.
• Knowledge of data governance, privacy, and cloud security best practices.
• Strong teamwork, collaboration, problem-solving, and communication skills.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• Professional experience or certifications in data management, ETL, data warehousing, or BI analytics.

How to Apply

If you are passionate about data and digital health and meet the requirements, apply online via Living Goods Careers.