1 Data Infrastructure jobs in Nigeria
Data Engineering Lead
Posted 284 days ago
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Job Description
This is a remote position.
Who we are
A trailblazing financial technology company transforming Africa’s economy, this organization is building a game-changing financial ecosystem for businesses, offering a full suite of payment, banking, credit, and business management tools that empower success. They are looking for a Data Engineering Lead to join their team.
Fueled by a passion for customer-centric innovation, the company creates solutions that are reshaping the industry. With products like credit, overdrafts, bank integration, and payment gateways, it provides businesses with the essentials to thrive. Harnessing the power of artificial intelligence and data, the organization doesn’t just make decisions – it drives them with advanced tech and industry-leading best practices.
What you’ll get to do:
Build and maintain cutting-edge data pipelines that can handle vast amounts of information with ease. Dive deep into big data analysis using powerful tools like Python and SQL. Continuously optimize our data platform to be faster, more scalable, and cost-efficient. Collaborate with cross-functional teams to ensure everyone’s data needs are not only met but exceeded. Develop innovative processes and tools to monitor and analyze model performance and data accuracy. Solve complex data challenges that keep the business moving forward. Set up and manage new data pipelines, from streamlining to enrichment and curation. Keep source code repositories organized and up-to-date. Experiment with machine learning (ML) and artificial intelligence (AI) to elevate the company’s cloud offerings to new heights. Mentor and develop junior team members, helping them grow into future leaders. RequirementsWhat you need to succeed:
A proven track record as a Data Engineer (5+ years preferred, but impressive accomplishments speak for themselves). Sharp problem-solving skills with a knack for tackling tough data challenges. Advanced SQL skills that can handle even the most complex queries. Python proficiency, allowing you to work seamlessly with large datasets. Experience working with cloud platforms like Google Cloud, AWS, or Azure. Comfort using version control tools such as Git. Stellar communication skills – both written and verbal. A hunger to learn, master new technologies, and push boundaries. A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.Bonus Points For:
Expertise in data governance and security. Experience building and deploying machine learning models. Familiarity with Terraform or other infrastructure-as-code tools.Why you’ll love working here:
Culture: This is a place where your voice matters, and every opinion counts. It’s a people-first company where the well-being of each team member is top priority. Collaboration is key, respect is non-negotiable, and there’s a true sense of community where everyone looks out for one another. Learning: This isn’t just a job; it’s a learning journey. With plenty of opportunities for professional growth, from knowledge sharing and training to internal technical talks, you’ll always be expanding your skills and expertise. Compensation: You’ll be rewarded with an attractive salary, a great pension plan, comprehensive health insurance, an annual bonus, and a range of other exciting perks. This company invests in its people – because your success is their success!If you’re excited about this Data Engineering Lead opportunity and ready to make an impact, apply now! Bring your passion for data engineering, your innovative mindset, and your drive to be part of something big. Together, we’ll shape the future of financial technology.
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