Data Scientist / Data Engineer (Mid-Level) - Remote at Alpha Global - 2 Openings

Alpha Global - We are a raising international recruitment agency dedicated to empowering individuals through international study and work placements in EU countries. Our mission is to provide comprehensive support to help you achieve your academic and professional goals abroad. The headquarter is located in Rotterdam, the Netherlands.

We are recruiting to fill the position below:

Job Title: Data Scientist / Data Engineer (Mid-Level) - Remote

Location: Abuja (FCT) & Lagos
Employment Type: Full-time

Job Type

• Full-Time We are looking for an experienced Data Scientist / Data Engineer (Mid-Level) to join our dynamic team. In this role, you will be responsible for designing, developing, and optimizing data pipelines, as well as leveraging data science techniques to drive insights.
• As a key member of our team, you'll work remotely from Nigeria while contributing to data-driven solutions for a globally recognized Dutch company.

Key Responsibilities

• Data Pipeline & ETL Development: Build and optimize data pipelines, manage ETL processes, and design data storage solutions, ensuring efficient and secure data flow between systems.
• Data Preprocessing & Cleaning: Handle large datasets by cleaning, transforming, and preprocessing them to ensure high-quality, usable data for analysis.
• Model Development & Analytics: Develop, train, and deploy machine learning models to drive predictive analytics, using tools like TensorFlow or Scikit-Learn to improve business outcomes.
• Collaboration & Insights: Work closely with cross-functional teams to turn data into actionable business insights, and present findings using data visualization tools like Power BI, Tableau, or Google Data Studio.
• Documentation & Data Governance: Maintain clear and detailed data documentation, uphold data integrity standards, and ensure compliance with GDPR and other data governance best practices.
• Big Data Tools: Utilize big data tools like Hadoop, Spark, and Kafka to process and manage large-scale datasets efficiently.

Qualifications & Experience

• Education: A Master’s Degree in Data Science, Statistics, Engineering, or a related field. Alternatively, a Bachelor’s degree with substantial experience in data engineering roles is also acceptable.
• Experience: At least 3 years of hands-on experience in data science or data engineering, with proven expertise in ETL processes, big data technologies, and data warehousing.

Certifications:

• Highly Preferred: Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer, Cloudera Certified Data Engineer, or AWS Certified Big Data – Specialty.

Technical Skills:

• Programming: Proficiency in Python and SQL. Knowledge of R is a plus for statistical tasks.
• Big Data & Engineering Tools: Experience with Hadoop, Spark, and Kafka. Familiarity with data pipeline tools like Apache Airflow or Talend is beneficial.
• Data Visualization: Strong skills in Power BI, Tableau, or Google Data Studio for creating visual reports and dashboards.
• Machine Learning: Familiarity with machine learning libraries such as TensorFlow or Scikit-Learn for model development. 
• Compliance: A solid understanding of GDPR, secure data handling, and data anonymization techniques.

Application Closing Date
28th February, 2025.