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

Quantexa, established in 2016, is revolutionizing the data analytics market with innovative solutions initially focused on FinTech and criminal activity detection. As a Senior Data Engineer, you'll join their Delivery team, working on contextualizing data for various domains including banking, insurance, government, and healthcare. The role involves implementing Quantexa's technology, building end-to-end data pipelines, and configuring their decision-making platform. You'll work with cutting-edge technologies like Spark, Hadoop, and Elasticsearch, hosted on various cloud platforms. The position requires a security clearance and offers a comprehensive benefits package including RRSP matching, health benefits, and flexible work arrangements. The company prides itself on its diverse workforce, with employees from 47 nationalities speaking over 20 languages. This role offers significant growth opportunities and the chance to work on meaningful projects that help solve complex business problems in fraud detection, financial crime, and risk management.

Senior Data Engineer position at Quantexa, requiring security clearance, focusing on implementing data analytics solutions for banking, insurance, and government sectors.

Senior Data Engineer (Security Cleared)

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

Quantexa, an innovative data analytics company established in 2016, is seeking a Principal Data Engineer to join their Delivery team. This role represents a unique opportunity to work with cutting-edge technology that started in FinTech and has expanded to multiple sectors. The position requires a security-cleared professional who will lead data engineering teams in implementing sophisticated solutions across banking, insurance, government, and healthcare domains.

The role combines technical leadership with hands-on engineering work, requiring expertise in big data technologies like Spark, Hadoop, and Elasticsearch. You'll be responsible for making key technical decisions, mentoring junior engineers, and delivering complex data solutions in both private and public cloud environments. The position demands a balance of technical excellence with strong communication skills, as you'll be interfacing directly with clients and translating complex technical concepts for non-technical stakeholders.

As a Principal Data Engineer, you'll be working in a diverse and inclusive environment, with colleagues from 47 nationalities speaking over 20 languages. The company offers comprehensive benefits including RRSP matching, health coverage, and innovative perks like their 'Work from Anywhere' policy. This role is perfect for an experienced data engineer who wants to make a significant impact while working with cutting-edge technology in a collaborative, growth-oriented environment.

The position requires 8+ years of industry experience, with at least 5 years in a leadership role. While the primary technology stack includes Scala, the company values strong engineering principles and welcomes professionals with expertise in related languages. A valid Secret-level government security clearance is mandatory, and the role will involve some travel to client offices in Ottawa.

Principal Data Engineer position at Quantexa, leading data engineering teams and implementing sophisticated big data solutions for banking, insurance, and government sectors.

Principal Data Engineer (Security Cleared)

Founded in 2016, Quantexa provides Contextual Decision Intelligence solutions helping organizations make better data-driven decisions through advanced analytics.

Quantexa, a rapidly growing company founded in 2016, is seeking a Senior Full Stack Python Engineer to join their R&D team. The company specializes in Contextual Decision Intelligence, helping organizations make better decisions through advanced data analysis and network analytics. 

The role is part of a 100+ person R&D department working on innovative products for Tier 1 clients in fraud, compliance, and financial crime detection. You'll be working with modern technologies including TypeScript, Angular 15, and ngrx on the frontend, and Scala-based microservices on the backend. The team emphasizes functional programming and uses advanced libraries like Cats and Shapeless.

The position offers an opportunity to work on highly visual and data-rich user interfaces, including social network diagrams and analytical process outputs. The backend architecture utilizes event sourcing and CQRS patterns for scalability. You'll be part of an agile team including Engineers, Product Managers, Designers, and QA professionals.

Quantexa has a strong global presence with offices in London, New York, Boston, Toronto, Sydney, Singapore, Brussels, and Malaga. The company culture emphasizes Determination, Ambition, Teamwork, and Accountability. They offer comprehensive benefits including healthcare, pension, and flexible leave policies.

This is an ideal role for someone passionate about solving complex problems, working with cutting-edge technology, and contributing to a platform that helps organizations combat financial crime and make better data-driven decisions. The company's commitment to internal pay equity and inclusive work environment makes it an attractive opportunity for growth and professional development.

Senior Full Stack Engineer role at Quantexa, working on innovative data analytics products using TypeScript, Angular, and Scala in a hybrid work environment.

Full Stack Software Engineer

Founded in 2016, Quantexa helps organizations make better decisions through Contextual Decision Intelligence, connecting data using dynamic entity resolution and network analytics.

Quantexa, a rapidly growing company founded in 2016, is seeking a Senior Full Stack Python Engineer to join their R&D team. The company specializes in Contextual Decision Intelligence, helping organizations make better decisions through advanced data analysis and network analytics. With over 500 employees across 8 global locations, Quantexa is at the forefront of transforming how organizations use data.

The role sits within the R&D department, which comprises over 100 professionals working in agile teams. You'll be instrumental in developing products that help Tier 1 clients solve complex problems in fraud, compliance, and financial crime. The position offers the opportunity to work with cutting-edge technologies, including Python, PySpark, FastAPI, and various big data tools.

As a Senior Python Engineer, you'll collaborate with Data Scientists and Scala Engineers on both existing and greenfield projects. The role involves designing and implementing Platform APIs and tools that enable customers to leverage the Quantexa Platform's capabilities. The company processes massive volumes of data to detect anomalous and suspicious activity, making this an exciting opportunity for someone passionate about working with large-scale data systems.

Quantexa offers an inclusive work environment with competitive benefits, including healthcare, pension, and flexible leave policies. The company's commitment to growth, innovation, and employee development makes it an ideal place for engineers looking to make a significant impact in the field of data analytics and AI. The hybrid work model provides flexibility while maintaining collaborative opportunities in their London office.

Senior Python Engineer role at Quantexa, focusing on building data analytics and AI solutions for fraud detection and compliance, offering hybrid work in London.

Python Engineer

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

Quantexa, an innovative data analytics company founded in 2016, is seeking a Principal Data Engineer to join their Delivery team. This role represents a unique opportunity to work with cutting-edge technology that started in FinTech and has expanded to multiple domains including banking, insurance, government, and healthcare.

As a Principal Data Engineer, you'll be the key technical decision maker for delivery projects, leading a team of junior engineers while working hands-on with sophisticated end-to-end big data solutions. The role combines technical leadership, mentoring, and direct engagement with business teams and clients. You'll be working with technologies like Spark, Hadoop, Scala, and Elasticsearch, deploying solutions across various cloud platforms including Google Cloud, Microsoft Azure, and Amazon.

The position offers significant impact, tackling challenging problems in fraud detection, financial crime, data management, risk assessment, and customer intelligence. You'll be part of a diverse, multicultural team comprising 47 nationalities speaking over 20 languages, contributing to an inclusive and collaborative environment.

The ideal candidate brings 8+ years of industry experience, with at least 5 years in a lead role. While Scala is the primary language, strong engineering principles in Java, Python, or equivalent languages are valued. You'll need expertise in production-level data processing systems, modern development tooling, and strong technical communication skills.

Benefits include competitive compensation, comprehensive healthcare, RRSP matching, mental health support, flexible work arrangements including a "Work from Anywhere" policy, and continuous learning opportunities. Join Quantexa to be part of a mission-driven company that's making data easier and making the world a better place through innovative technology solutions.

Principal Data Engineer role at Quantexa leading technical delivery and mentoring teams while building sophisticated big data solutions across multiple domains.

Principal Data Engineer

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

Quantexa, an innovative data analytics company founded in 2016, is seeking a Senior Data Engineer to join their Delivery team. The role focuses on contextualizing data and implementing Quantexa's cutting-edge 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 award-winning software and configuring decision-making platforms to detect key insights.

The position offers an exciting opportunity to work with high-volume data, solving complex business problems in areas such as fraud detection, financial crime, risk management, and customer intelligence. You'll be working with modern technologies including Spark, Hadoop, Scala, and Elasticsearch, with deployments across various cloud platforms including Google Cloud, Microsoft Azure, and Amazon.

The company prides itself on its diverse and inclusive culture, with nearly half of their colleagues coming from ethnic or religious minority backgrounds, representing 47 nationalities and speaking over 20 languages. They offer comprehensive benefits including RRSP matching, health coverage, mental health support, and flexible working arrangements including their 'Work from Anywhere' policy.

The ideal candidate will bring strong technical expertise in data engineering, excellent communication skills, and a passion for solving complex problems. You'll be collaborating with solution architects and R&D engineers, championing solutions for big data challenges, and sharing knowledge across the organization. This role provides an excellent opportunity for professional growth, with possibilities to lead projects and mentor junior engineers while working on cutting-edge technology solutions.

Senior Data Engineer position at Quantexa, working on innovative data analytics solutions across multiple industries with focus on big data processing and analysis.

Senior Data Engineer

Tech company innovating in data analytics since 2016, specializing in FinTech and criminal activity prevention 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 cloud technologies, including Docker, Kubernetes, and Istio, while managing infrastructure across major cloud providers like GCP, AWS, and Azure. You'll be responsible for improving platform resilience, security, and usability while reducing operational overhead.

The company stands out for its diverse workforce, comprising 47 nationalities speaking over 20 languages, and its commitment to solving complex data analytics challenges. The tech stack includes modern DevOps tools and practices, from infrastructure as code with Terraform and Ansible to monitoring solutions with Prometheus and Grafana.

This role is perfect for an experienced DevOps engineer who enjoys tackling complex problems, values collaboration, and wants to contribute to a platform that's making significant impacts in various industries. The position offers comprehensive benefits, including competitive compensation, healthcare, and professional development opportunities.

Working at Quantexa means joining a fast-growing company that started in FinTech and has expanded its innovative solutions across multiple sectors. The company culture emphasizes teamwork, continuous learning, and pushing technological boundaries while maintaining a strong focus on security and reliability.

Senior/Lead DevOps Engineer role at Quantexa, working on cloud platform infrastructure and DevOps practices with cutting-edge technologies.

Senior/Lead DevOps Engineer

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.

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.

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 the data analytics market since 2016, specializing in FinTech and criminal activity detection.