Senior Data Engineer
Description For Senior Data Engineer
Quantexa is seeking a Senior Data Engineer to join their Delivery team. The role involves implementing Quantexa's innovative technology for various domains including banking, insurance, government, and healthcare. As a senior data engineer, you'll be responsible for building end-to-end data pipelines using Quantexa's award-winning software, configuring decision-making platforms to detect key insights, and solving complex business problems in areas such as fraud, financial crime, data management, risk, and customer intelligence.
Key responsibilities include:
- Writing defensive, fault-tolerant, and efficient code for production-level data processing systems
- Configuring and deploying Quantexa software using tools like Spark, Hadoop, Scala, and Elasticsearch on both private and public virtual clouds
- Serving as a trusted source of knowledge for clients and articulating technical concepts to non-technical audiences
- Collaborating with solution architects and R&D engineers to champion solutions for complex big data challenges
- Promoting knowledge sharing and ensuring best practices are followed
The ideal candidate will have:
- At least four years of industry experience in a data engineering role or equivalent
- Proficiency in Scala, Java, Python, or a programming language associated with data engineering
- Expertise in building and deploying production-level data processing batch systems
- Experience with modern development tooling and DevOps technologies
- Strong technical communication skills and experience working in rapidly changing client environments
- Knowledge of testing libraries and different test types
Quantexa offers a diverse and inclusive work environment with employees from 47 nationalities speaking over 20 languages. They provide various benefits including flexible working hours, a hybrid workplace, pension scheme, health and wellbeing programs, and opportunities for professional growth.
Join Quantexa to be part of an innovative team pushing the boundaries of data analytics and making a positive impact across multiple industries.
Responsibilities For Senior Data Engineer
- Write defensive, fault-tolerant, and efficient code for production-level data processing systems
- Configure and deploy Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch
- Serve as a trusted source of knowledge for clients and articulate technical concepts to non-technical audiences
- Collaborate with solution architects and R&D engineers to champion solutions for complex big data challenges
- Promote knowledge sharing and ensure best practices are followed
Requirements For Senior Data Engineer
- At least four years of industry experience in a data engineering role or equivalent
- Proficiency in Scala, Java, Python, or a programming language associated with data engineering
- Expertise in building and deploying production-level data processing batch systems
- Experience with modern development tooling (e.g., Git, Gradle, Nexus) and DevOps technologies
- Strong technical communication skills
- Knowledge of testing libraries and different test types
Benefits For Senior Data Engineer
- Regularly benchmarked salary rates at the highest quarter following all principles of equal pay & company bonus
- Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
- Pension Scheme with a company contribution of 6% (if you contribute 3%)
- 25 days annual leave (with the option to buy up to 5 days) + birthday off
- Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
- Work from Home Allowance
- Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
- Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
- Team's Social Budget & Company-wide Summer & Winter Parties
- Tech & Cycle-to-Work Schemes
- Volunteer Day off
- Dog-friendly Offices
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