6 Data Engineer jobs in Kenya
Senior Data Engineer
70100 Mlolongo, Eastern
KES150000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is seeking a highly experienced Senior Data Engineer to join their team on a contract basis, with the role being fully remote. You will be responsible for designing, building, and maintaining scalable and robust data pipelines and infrastructure that support the organization's data analytics and business intelligence needs. This role requires a deep understanding of data warehousing, ETL processes, big data technologies, and cloud platforms. The ideal candidate is a skilled architect who can transform raw data into actionable insights.
Responsibilities:
Qualifications:
This role is fully remote, allowing you to work from your preferred location. Our client is located in Mlolongo, Machakos, KE , and seeks a highly skilled contractor to support their data infrastructure needs.
Responsibilities:
- Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes.
- Build and optimize data warehouses and data lakes for analytics and reporting.
- Implement data modeling strategies to ensure data integrity and accessibility.
- Work with cloud platforms (e.g., AWS, Azure, GCP) to build and manage data infrastructure.
- Develop and maintain data quality frameworks and monitoring systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Troubleshoot and resolve data-related issues in a timely manner.
- Optimize database performance and query efficiency.
- Implement and maintain data security and governance best practices.
- Stay up-to-date with emerging technologies in data engineering and big data.
- Automate data processes where possible.
- Contribute to architectural decisions regarding data infrastructure.
- Document data processes, pipelines, and architecture.
- Provide technical leadership and mentorship to junior team members.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Minimum of 7 years of professional experience in data engineering or a related field.
- Proven experience designing and implementing large-scale data pipelines and data warehouses.
- Strong proficiency in SQL and experience with relational and NoSQL databases.
- Expertise in cloud data services (e.g., AWS S3, Redshift, Glue; Azure Data Factory, Synapse; GCP BigQuery, Dataflow).
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
- Experience with ETL/ELT tools and concepts.
- Understanding of data modeling techniques (e.g., Kimball, Inmon).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team.
- Experience with data governance and security principles.
- Familiarity with containerization technologies like Docker is a plus.
This role is fully remote, allowing you to work from your preferred location. Our client is located in Mlolongo, Machakos, KE , and seeks a highly skilled contractor to support their data infrastructure needs.
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Engineer - Big Data Specialist - Remote
60100 Garissa, North Eastern
KES480000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a cutting-edge data analytics firm that empowers businesses with actionable insights, is actively seeking a highly skilled Senior Data Engineer with a specialization in Big Data to join their completely remote team. This role is central to designing, building, and maintaining scalable and reliable data pipelines and infrastructure that support our organization's advanced analytics and machine learning initiatives. You will work with vast datasets, cutting-edge technologies, and collaborate with data scientists and analysts to ensure efficient data flow and accessibility. As a remote-first role, you will be empowered to contribute from your chosen location, utilizing state-of-the-art collaboration tools.
Responsibilities:
Qualifications:
Responsibilities:
- Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
- Develop and optimize ETL/ELT processes for large-scale data.
- Build and manage data lakes, data warehouses, and other big data storage solutions.
- Ensure data quality, integrity, and security across all data platforms.
- Implement and manage data processing frameworks such as Spark, Hadoop, and Flink.
- Collaborate closely with data scientists, analysts, and application developers to understand data needs and deliver solutions.
- Monitor system performance, troubleshoot data-related issues, and implement performance tuning.
- Develop data models that support business intelligence and machine learning applications.
- Automate data workflows and processes using scripting and orchestration tools.
- Evaluate and recommend new big data technologies and methodologies.
- Document data architecture, processes, and systems.
- Contribute to the continuous improvement of data engineering best practices.
- Ensure compliance with data governance policies and regulations.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 6 years of experience in data engineering, with a strong focus on big data technologies.
- Proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with distributed computing frameworks like Apache Spark, Hadoop, or similar.
- Experience designing and implementing data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Strong understanding of data modeling, database design, and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Experience with workflow management tools like Apache Airflow.
- Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work effectively in a collaborative, remote team environment.
- Experience with real-time data streaming technologies (e.g., Kafka) is desirable.
This advertiser has chosen not to accept applicants from your region.
1
Senior Remote Data Scientist - Climate Modeling
70100 Kisumu
KES850000 Annually
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Posted 1 day ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Remote Data Scientist to join their cutting-edge scientific research and development team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in developing advanced climate models, analyzing vast datasets, and contributing to groundbreaking research. Your primary focus will be on understanding and predicting environmental changes through sophisticated data analysis and machine learning techniques. This role demands a deep understanding of statistical modeling, predictive analytics, and scientific programming. You will collaborate with a global team of researchers, sharing insights and driving innovation. The ideal candidate possesses a strong academic background in a quantitative field, coupled with proven experience in applying data science methodologies to complex scientific problems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and validate complex climate and environmental models using Python, R, and other relevant statistical and machine learning tools.
- Perform rigorous data cleaning, feature engineering, and exploratory data analysis on large, diverse datasets from various environmental sensors and historical records.
- Implement and optimize machine learning algorithms for tasks such as forecasting, anomaly detection, and pattern recognition in climate data.
- Collaborate with domain experts to translate scientific questions into data-driven research hypotheses and experimental designs.
- Interpret model outputs, generate visualizations, and communicate complex findings clearly to both technical and non-technical stakeholders through detailed reports and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and climate science research, and apply them to improve existing methodologies.
- Contribute to the development of open-source scientific software and tools.
- Maintain high standards of code quality, documentation, and reproducibility in all research activities.
- Participate in peer reviews and contribute to scientific publications.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Environmental Science, Physics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in data science, with a significant portion focused on scientific research or environmental modeling.
- Proficiency in Python and/or R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with large-scale data processing and cloud computing platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical principles, hypothesis testing, and experimental design.
- Proven ability to develop and deploy machine learning models in a research context.
- Excellent problem-solving skills and a critical, analytical mindset.
- Exceptional communication and collaboration skills, with the ability to work effectively in a remote, international team environment.
- A passion for environmental research and a commitment to making a positive impact through data science.
This advertiser has chosen not to accept applicants from your region.
2
Remote Junior Data Scientist - Predictive Modeling
00100 Abothuguchi West
KES60000 Annually
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Posted 2 days ago
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Job Description
Our client, a rapidly growing tech startup focused on AI-driven solutions, is looking for an enthusiastic and bright Remote Junior Data Scientist to join their innovative team. This internship, nominally based in Nairobi, Nairobi, KE , is a fully remote position designed for aspiring data scientists eager to gain hands-on experience in predictive modeling and machine learning. You will work alongside senior data scientists, contributing to real-world projects and learning cutting-edge techniques.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analysis, classification, and clustering.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Create data visualizations to communicate findings and model performance.
- Collaborate with senior data scientists on feature engineering and model selection.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Help in the evaluation and validation of model performance using appropriate metrics.
- Research and stay updated on the latest advancements in data science, machine learning, and AI.
- Document methodologies, code, and results clearly and comprehensively.
- Assist in preparing presentations and reports on project findings for internal teams.
- Learn and apply new tools and technologies within the data science ecosystem.
- Contribute to team discussions and brainstorming sessions for new project ideas.
- Ensure the ethical and responsible use of data throughout all projects.
- Gain practical experience in building end-to-end data science solutions under mentorship.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Basic understanding of data manipulation and database querying (e.g., SQL).
- Eagerness to learn and develop skills in data analysis, modeling, and visualization.
- Strong analytical and problem-solving abilities.
- Good communication skills, with the ability to articulate technical concepts.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Proactive attitude and a genuine passion for data science and technology.
- Prior exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Remote Data Scientist - Predictive Modeling
01000 Witeithie
KES50000 month
WhatJobs
Posted 4 days ago
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Job Description
Our client is excited to offer a fully remote Graduate Data Scientist internship focused on Predictive Modeling. This is an exceptional opportunity for a recent graduate or soon-to-be graduate with a strong quantitative background and a passion for data science to gain hands-on experience in a dynamic, remote work environment. You will work closely with our experienced data science team, contributing to the development and refinement of predictive models that drive business insights and decision-making. Although the position is fully remote, your initial exposure might involve understanding data patterns relevant to regions like **Thika, Kiambu, KE**, and other areas where our client operates.
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
- Recent graduate or current student pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Knowledge of statistical modeling and machine learning techniques.
- Basic understanding of databases and SQL.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, essential for remote teamwork.
- Self-motivated with the ability to work independently and manage time effectively.
- A keen interest in learning and applying new data science methodologies.
This advertiser has chosen not to accept applicants from your region.
4
Principal Data Scientist - Remote Mineral Resource Modeling
40100 Kisumu
KES220000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Principal Data Scientist to spearhead advanced mineral resource modeling and analysis in a fully remote capacity. This senior role is crucial for driving innovation and improving the accuracy and efficiency of our geological and mining operations through sophisticated data-driven approaches. The ideal candidate will possess a strong background in data science, statistics, machine learning, and their application to geological and mining challenges. You will be responsible for developing, implementing, and validating cutting-edge predictive models for mineral deposit estimation, resource classification, and grade control. Key responsibilities include working with large, complex datasets from exploration, drilling, and mine production; designing and executing data mining strategies; and translating findings into actionable insights for geological and mining teams. Expertise in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), is essential. Familiarity with geological software and databases (e.g., Vulcan, Leapfrog, SQL) is highly desirable. This position requires exceptional analytical and problem-solving skills, along with the ability to communicate complex technical concepts to both technical and non-technical stakeholders. You will lead research initiatives, mentor junior data scientists, and stay abreast of the latest advancements in data science and their application to the mining industry. The ability to design and conduct rigorous statistical analyses and interpret results with a critical eye is paramount. This is a fully remote role, demanding a high degree of self-motivation, autonomy, and excellent collaboration skills within a virtual environment. If you are passionate about leveraging data science to unlock the potential of mineral resources and drive strategic decision-making in the mining sector, we invite you to apply. This role supports our data science initiatives relevant to mining operations near Garissa, Garissa, KE .
This advertiser has chosen not to accept applicants from your region.
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