Hire Top Data Engineers Today
Search no further than Andela for the world’s top-notch data engineers, scientists, and consultants. Respected industry leaders and evolutionary startups both agree: Andela is the marketplace of choice for powerful data management systems designed to extract optimal value for better decision-making leverage.
Join The World’s Leading Brands and Companies Working With Andela
Partner with us for your data engineering talent needs and be in the company of hundreds of best-in-class corporations, institutions, and organizations from a diverse set of industries. Years of long-standing collaboration with them attest to our firm commitment to deliver results.
KindHealth Hires Andela Engineers to Own Complex Projects on Time and on Budget
Today, working under KindHealth’s managers, Andela engineers have made significant contributions to the company’s product and to its culture.
With Andela, 2U Builds an All-Star Remote Engineering Team
With Andela, the 2U team maintained pre-shutdown productivity and even gained ground in some areas by standardizing how to work side-by-side while remote.
Engineering Staff Augmentation: Flexible Hiring without Compromising Quality
When the only certainty is uncertainty, engineering teams need to be able to scale up, scale back, and shift skills and resources at warp speed.
Andela’s Guide to Onboarding Developers
All too often, the onboarding process for new hires feels as if we’re teaching someone how to swim by throwing them in the deep end of the pool.
Work With the Best
The most brilliant minds in data science engineering choose Andela. And with good reason. Our meticulous vetting process proves that we are serious about drawing in only the best talents and ascertaining the best-fit company matches. Today, many of our successful candidates are in key leadership roles and driving the success of their data management strategies. Their globally diverse experiences provide the multifaceted perspective necessary for understanding complex customer workflows and designing insightful solutions adapted to specific customer requirements.
Hanee Shousha
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Hanee' is a Data Engineering expert who enjoys working on data analytics and segmentation. He has valuable experience working with Big Data, Spark, Python and many data-related technologies. Hanee' has built enterprise applications that interact with millions of customers daily.
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- Python 2/3
- SQL
- Azure
- BigQuery
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- MySQL
- Hadoop
- Tableau
- Oracle DB
Oluwatomi Ojemakinde
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Oluwatomi is an accomplished data engineer, TOGAF-certified Enterprise Architect/Software Engineer with 10+ years of experience building scalable, performant solutions for sectors that span finance, food tech, education, and oil & gas. He’s interested in digital payments, data analytics, AI, and information security. Oluwatomi has worked with corporate clients, startups, and government agencies. A passionate educator, he recently led a Microsoft-certified Azure training for young developers in Andela’s Learning Community.
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- Python 1
- SQL
- Azure
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- MySQL
- SQL Server
- AWS
Brian Otieno
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Brian is a Senior Software Engineer with an interest in FinTech, chatbots, data, and Internet of Things (IoT). Experienced in Python 3 and SQL, he has worked on award-winning payments solutions and has hands-on experience in performance, functional, integration, regression and user acceptance testing. Brian is an enthusiastic team player dedicated to resolving project issues and willing to take ownership of key components to produce outstanding results.
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- Python 3
- SQL
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- MySQL
- PHP
- AWS
- GCP
Samuel Baafi Boakeye
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Samuel is a strong Data Engineer and Python Developer with four years of experience working with data and generating insights. He confidently creates ETL/ELT pipelines using Apache Airflow and Apache Nifi to move data from transactional databases to Redshift, and prep it for analytics or BI tools like Tableau. He recently worked on a project using Apache Airflow and Spark to create a pipeline for UK pharmaceutical data that gleans insights related to drug usage seasonality trends.
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- Python 3
- SQL
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- MySQL
- AWS
Michael Karanja
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Michael is a data scientist experienced in building and shipping end-to-end machine learning pipelines in Python - from data cleaning to model development and production APIs, aimed at solving real-world problems. He holds several certifications, from deep learning to data visualization, and has more than four years of experience with predictive modeling. Michael is skilled in Python, Machine Learning, Geospatial Modelling, Data Visualization, Data Engineering, Big Data, NLP, and others.
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- SQL
- Python
- AWS
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- MySQL
- Azure
- AI
- Cloud Computing
- Machine Learning
Idowu Adeleke
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Idowu is a machine learning engineer with a passion for solving real-world industry problems. She has over five years of experience in software engineering with a focus on data-intensive applications, NLP, and machine learning. Idowu has worked on software products in the food, fintech, social, and education sectors. In addition to being an experienced data scientist, her other interests include research, public speaking on the future of AI, machine learning, and data science, and building women-in-tech communities.
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- Python
- SQL
- GCP
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- MySQL
- SQL Server
- AWS
- Azure
- PowerBI
How to Hire Data Engineers through Andela
Talk to One of Our Industry Experts
Our engineering team will deep-dive with you to fully understand your technical needs, culture, and strategic route.
Work With Hand-Selected Talent
Within two to four business days after first reaching out to Andela, we will
match you with the right data engineer or data scientist. We deliver high-quality work, on time and at the velocity you require to meet your time-sensitive deadlines.
The Right Fit, Guaranteed
We will be with you every step of the onboarding process to ensure a seamless process and team integration.
Why Andela
In today’s increasingly competitive hiring landscape, many companies are constantly pressed for time to fill vacancies for data engineers and data scientists. Helping them efficiently meet the challenge of finding the best-fit talent to match their work culture and financial requirements is where we come in.
Andela is the leading engineering marketplace that combines human resources expertise with the most advanced algorithms to help secure the best talent for you, even at crunch time.
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FAQs
Andela matches data engineers with long-term remote opportunities at leading companies. Additionally, Andela provides professional growth opportunities including a global talent community, compensation and career coaching, educational resources, and ongoing support.
Depending on the seniority, skillset, and time zone requirements for your data scientist, you may be able to start reviewing profiles as early as two to four business days after first reaching out to Andela.
Andela uses technology to find and vet exceptional talent from emerging markets to fully embed them in your team. When you work with Andela, you can expect data science talent who will contribute not only technical expertise, but also global perspectives, growth mindsets, and long-term commitment, all backed by a support team who is available at every step of the way.
Our team leverages human expertise as well as smart matching automation to match clients with the right talent based on work schedule, tech stacks, team dynamics, and overall best fit, as well as delivering continuous hands-on support from start to finish.
Beyond exclusive career opportunities, Andela provides data engineers with educational discounts, exclusive events, varied course formats, and exposure to scholarships with companies like Google, Microsoft, and Amazon, as well as additional benefits via Deel.
Although our roots are in Africa, Andela’s talent now includes technical experts from all over the world. Whether you’re in San Francisco or Dublin, our team can help you find the right data engineering talent for your needs with up to five hour overlap with your working hours.