Senior Data Engineering Manager
3 weeks ago
About Quantexa
We're a tech company that's been innovating the data analytics market since 2016. Our technology started in FinTech, tackling serious criminal activity, and now its potential is limitless. We're a diverse team of 47 nationalities, speaking 20 languages, and we're ambitious, collaborative, and always looking to improve.
The Opportunity
Our Delivery team brings context to data, and Technical Leads drive innovation, implementing Quantexa's technology in banking, insurance, government, and healthcare. As a Lead, you'll guide and mentor data engineers, solving complex technical problems, and working with business teams and clients to deliver sophisticated data solutions.
Responsibilities
- Lead and support junior data engineers in an agile framework.
- Write efficient, fault-tolerant code for production data processing systems.
- Configure and deploy Quantexa's software using Spark, Hadoop, Scala, Elasticsearch, and Google Cloud, Microsoft Azure, and Amazon.
- Articulate technical concepts to non-technical audiences and collaborate with solution architects and R&D engineers to champion solutions and standards.
Requirements
- At least 5 years of industry experience in data engineering or a related field, with 2 years of lead experience.
- Proficiency in Scala, Java, Python, or a related programming language.
- Expertise in building and deploying production data processing systems, with a strong understanding of development, release, and operations.
- Experience with modern development tooling, automation, and DevOps technologies.
- Strong technical communication skills and experience working in rapidly changing client environments.
About You
We're looking for passionate, curious, and caring individuals who want to push the boundaries of what's possible. If you're a strong leader, a problem solver, and a team player, we want to hear from you. We're an Equal Opportunity Employer and value diversity, inclusivity, and respect in our workplace.
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