Jobs at Billigence

Supports recruitment sourcing, candidate screening, interview scheduling, onboarding, HR records, office administration, vendor coordination, finance documentation, invoice processing, expense tracking, reporting, and audit support. The role is designed for fresh graduates and requires strong communication, organization, confidentiality, and proficiency with Microsoft Office.

Develops new business and expands existing accounts across the Czech and Slovak markets. Manages the full B2B sales cycle, builds client relationships, identifies Data, Analytics, and AI opportunities, coordinates presales efforts with consultants and technology specialists, and owns pipeline, revenue targets, forecasts, partnerships, and market growth.

Manage strategic enterprise accounts, drive revenue growth, develop new business, and expand consulting, implementation, managed services, and technology resale opportunities. Responsibilities include full-cycle sales, account planning, partner collaboration, proposal and contract negotiation, pipeline and CRM management, forecasting, and senior stakeholder relationship building across the ANZ region.

Build, maintain, and optimize scalable full-stack applications using React.js and Java. Develop microservices and API integrations, manage CI/CD pipelines, and architect cloud infrastructure on AWS or Azure using Kubernetes, EKS, or AKS. Troubleshoot frontend, backend, and infrastructure issues while improving application performance, security, and scalability. Collaborate cross-functionally and apply modern full-stack development practices.

Develop and maintain backend services using Java, microservices, Spring Boot, REST APIs, AWS, and Kubernetes. Apply object-oriented programming, test-driven development, JUnit, build automation, and CI/CD practices. Collaborate with a leading client and communicate effectively with technical and business stakeholders. Candidates must be based in Singapore and able to start within four weeks.

Generates new business opportunities for a data consultancy through research, outbound outreach, lead qualification, relationship building, and meeting scheduling. Maintains CRM records, supports pipeline development, engages data and technology stakeholders, and collaborates with senior sales and consulting teams. The role offers an entry point into technology sales with potential progression to Account Executive or Account Management positions.

Design, build, and optimise cloud-based data pipelines, ETL/ELT processes and enterprise data platforms for an insurance client. Integrate multiple source systems, ensure data quality and performance, support data modelling and transformation, and collaborate with stakeholders using Agile practices.

The Data Management Lead will oversee initiatives to improve workforce data quality, governance, and operational management, collaborating with multiple teams to establish standards and support data strategy.

Design and maintain data architectures, build data pipelines, and communicate with stakeholders to enhance data reliability and quality.

The DWH Developer will design and build data warehouse solutions, set up cloud infrastructure, and provide data-driven insights while communicating with stakeholders.

Design, develop, and maintain scalable Java backend applications and secure REST APIs using Spring Boot, microservices, and event-driven architecture. Build cloud-native data solutions, implement automated testing and CI/CD, manage Kubernetes deployments and production releases, and provide on-call support. Lead incident resolution, root cause analysis, observability, performance optimization, code reviews, mentoring, documentation, and continuous improvement.

Generates new business and manages client relationships for data and analytics consulting solutions in Saudi Arabia. Responsibilities include prospecting, networking, sales meetings, proposals, pipeline management in HubSpot, partner development, and representing the company at industry events. The role requires Arabic and English fluency, strong communication skills, commercial interest, and enthusiasm for technology, data, AI, and consulting. Client-site travel is required, with hybrid or remote work options available.

Own data quality, stewardship and documentation across assigned domains: profile and cleanse data, define validations, maintain catalogues and lineage, run governance controls, and liaise between engineering and business stakeholders.

Design and build end-to-end data pipelines on Snowflake using a medallion architecture; develop dbt transformations and tests; implement automated data validations; create Streamlit UIs for user inputs and checks; prepare Power BI reporting outputs; document and hand over solutions to clients while collaborating with stakeholders.

The role involves transforming raw data, building data models and Power BI dashboards, maintaining data pipelines, and collaborating with PMs to meet business requirements.

Design and deliver scalable cloud data pipelines, ETL/ELT and data warehousing solutions. Work hands-on in Snowflake, Databricks and cloud platforms, translate business requirements into technical designs, optimise queries, and engage with stakeholders across client projects and internal initiatives.

As a Senior Data Architect, you'll design and maintain data architectures, lead client engagements, mentor junior engineers, and oversee project execution while ensuring client expectations are met.

Design, develop, and optimise Alteryx workflows to automate data preparation and reporting. Integrate and transform data from databases, APIs, and cloud sources, perform cleansing and validation, and support data quality initiatives. Translate business requirements into technical solutions, produce documentation, mentor peers, and collaborate with stakeholders and technical teams within Agile delivery.