2 дня назад
Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (SQL/Python/Cloud): Building and maintaining robust data pipelines and scalable data platforms for high-volume financial data with an accent on performance, cost optimization, and data accuracy. Focus on monitoring model performance, solving data-related problems, and coordinating with functional teams to meet data needs.
Location: Remote, Poland
Company
is an African fintech platform providing payments, banking, credit, cross-border, and business management tools to businesses and individuals.
What you will do
- Build and maintain robust data pipelines processing large volumes of data.
- Update and optimize the data platform for speed, scalability, and cost efficiency.
- Coordinate with functional teams to understand and meet data requirements.
- Develop tools and processes to monitor model performance and data accuracy.
- Solve general data-related problems across the platform.
Requirements
- 5+ years of experience as a Data Engineer, or equivalent demonstrated accomplishments.
- Advanced SQL and proficient Python skills.
- Experience with cloud platforms such as Google Cloud, AWS, or Azure.
- Experience with version control tools such as Git.
- Strong problem-solving, written, and verbal communication skills.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Nice to have
- Experience with data governance.
- Experience building and deploying machine learning models.
- Experience with Terraform or other infrastructure-as-code tools.
Culture & Benefits
- People-first culture focused on well-being, respect, inclusion, and open communication.
- Learning and development environment with knowledge sharing, training, and internal technical talks.
- Salary, pension, health insurance, annual bonus, and other benefits.
Hiring process
- Take-home assessment.
- Preliminary recruiter phone call.
- Technical interview with an Engineering Team Lead, followed by a behavioural and technical interview with an Executive Team member.
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