Tech company innovating in data analytics since 2016, specializing in FinTech and criminal activity detection solutions.

Quantexa, an innovative data analytics company founded in 2016, is seeking a Senior/Lead DevOps Engineer to join their R&D department. The role focuses on the Quantexa Cloud Platform, which provides low-maintenance, on-demand, and highly secure environments for customers and internal teams.

The position offers an opportunity to work with cutting-edge technology stack including Docker, Kubernetes, Istio, and various cloud platforms (GCP, AWS, Azure). You'll be responsible for improving platform resilience, security, and usability while reducing operational overhead across the estate.

The company stands out with its diverse workforce, comprising 47 nationalities and speaking over 20 languages. They offer a competitive benefits package including healthcare, pension, and flexible leave policies. The work environment emphasizes collaboration, innovation, and continuous learning.

As a Senior/Lead DevOps Engineer, you'll collaborate with software engineering teams, implement DevOps practices, and develop cloud-based solutions. The role requires expertise in infrastructure management, security principles, and automation. Experience with microservice architectures and mentoring junior engineers is highly valued.

Quantexa's mission focuses on helping businesses grow through better data utilization, making it an ideal opportunity for those passionate about creating impact through technology. The company provides a supportive, inclusive environment with opportunities for personal and professional growth.

Senior/Lead DevOps Engineer role at Quantexa, working on cloud platform development and infrastructure management with focus on security and automation.

Senior/Lead DevOps Engineer

Quantexa is a data intelligence company founded in 2016, focused on enabling better decision-making through data-driven intelligence. It recently gained "Unicorn" status with its Series E funding round.

Quantexa, a data intelligence company founded in 2016, is seeking a Lead MLOps Engineer to join their Analytics team. This role is crucial in designing, deploying, and maintaining production-level machine learning models. The ideal candidate will lead MLOps initiatives, including infrastructure, automation, and seamless transition of models from development to production.

Key responsibilities include:
1. Building and managing scalable cloud-based infrastructure for ML model deployment
2. Implementing CI/CD pipelines for ML/NLP model deployments
3. Developing automated pipelines for training, validation, and retraining of models
4. Setting up monitoring systems to track model performance and handle issues
5. Collaborating with data scientists and ML engineers to ensure smooth transition of models to production
6. Mentoring junior MLOps engineers and participating in Scrum ceremonies

Required skills:
- Proven experience in MLOps and deploying ML models to production
- Expertise in cloud platforms (GCP), Kubernetes, and Docker
- Strong programming skills in Python, with knowledge of Scala and/or Java
- Experience with MLOps tools like MLFlow, Kubeflow, or DVC
- Proficiency in automation and infrastructure as code
- Strong leadership and communication skills

Quantexa offers a competitive salary, company bonus, free Calm App subscription, ongoing personal development opportunities, and great company-wide socials. The company is committed to diversity and inclusion, with 41% of colleagues coming from ethnic or religious minority backgrounds and over 20 languages spoken across 47 nationalities.

Lead MLOps Engineer position at Quantexa, focusing on deploying and maintaining production-level machine learning models.

Lead MLOps Engineer

Quantexa is a tech company innovating the data analytics market since 2016, initially focusing on FinTech to tackle serious criminal activity, and now expanding to various domains.

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.

Senior Data Engineer role at Quantexa, implementing innovative data analytics solutions for various industries including finance, government, and healthcare.

Senior Data Engineer

Quantexa is a tech company innovating the data analytics market since 2016, initially focusing on FinTech to tackle serious criminal activity, now expanding to various domains.

Quantexa is seeking a Senior Data Engineer to join their Delivery team. The role involves implementing Quantexa's innovative technology across 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 nearly half of their colleagues coming from ethnic or religious minority backgrounds, representing 47 nationalities and speaking over 20 languages. The company provides a range of benefits including competitive salary, flexible working hours, pension scheme, health and wellbeing programs, and various perks to support work-life balance.

Join Quantexa to be part of an ambitious team that's pushing the boundaries of data analytics and making a significant impact across multiple industries.

Senior Data Engineer role at Quantexa, implementing innovative data analytics solutions across various domains including banking, insurance, and healthcare.

Quantexa is seeking a Senior Data Engineer to join their Delivery team. The role involves contextualizing data and implementing Quantexa's innovative technology across 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 three years of industry experience in a data engineering role (preferably four years in the software industry)
- Proficiency in Scala, Java, Python, or a related data engineering programming language
- Expertise in building and deploying production-level data processing batch systems
- Experience with modern development tools (e.g., Git, Gradle, Nexus) and DevOps technologies (e.g., Jenkins, Docker)
- Strong technical communication skills and experience working in dynamic client environments
- Knowledge of testing libraries and different test types

Quantexa offers a competitive salary, company bonus, 11.5% superannuation, private healthcare, and various other benefits including enhanced parental leave, well-being days, and continuous training opportunities. The company prides itself on its diverse and inclusive work environment, with nearly half of its colleagues coming from ethnic or religious minority backgrounds and representing 47 nationalities speaking over 20 languages.

Join Quantexa as a Senior Data Engineer to build innovative data solutions for banking, insurance, government, and healthcare sectors.

Join Quantexa as a Senior Data Engineer to build innovative data solutions for banking, insurance, and more using cutting-edge technologies.

Quantexa is seeking a Data Engineer to join their Delivery team. The role involves contextualizing data and implementing Quantexa's innovative technology across various domains including banking, insurance, government, and healthcare. As a 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 (Google Cloud, Microsoft Azure, Amazon)
- 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 and standards for complex big data challenges
- Promoting knowledge sharing and ensuring best practices are followed

The ideal candidate will have:
- At least 18 months 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 (e.g., Jenkins, Docker, Bash scripting)
- Strong technical communication skills and experience working in rapidly changing client environments
- Knowledge of testing libraries and different test types

Quantexa offers a competitive salary, company bonus, generous leave policy, pension scheme, private healthcare, and various other benefits including work-from-home allowance, meal vouchers, and continuous training and development opportunities.

The company prides itself on its diverse and inclusive work environment, with nearly half of its colleagues coming from ethnic or religious minority backgrounds, representing 47 nationalities and speaking over 20 languages. Quantexa is committed to equal opportunity employment and welcomes applications from individuals of all backgrounds who are passionate, curious, and eager to push the boundaries of what's possible in data analytics.

Join Quantexa as a Data Engineer to build innovative data solutions across various domains, utilizing cutting-edge technologies and solving complex business problems.

Quantexa Engineering Jobs

Tech company innovating in data analytics since 2016, specializing in FinTech and criminal activity detection solutions.