Data Engineer

About Us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business. Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities. About The Role We are seeking a

Data Engineer

to join our team in Singapore and play a key role in advancing our cloud-based data capabilities. Working onsite as part of the Cloud Center of Excellence (CCoE) team, you will collaborate closely with the customer and cross-functional stakeholders to design and implement scalable, secure, and high-performance data solutions. In this role, you will contribute to building a modern data platform aligned with data mesh principles, empowering business teams to own and manage their data as a product. You'll be responsible for developing reliable data pipelines that support both batch and streaming workloads, ensuring consistent and efficient data delivery across domains. Your work will directly support the organization's data transformation goals by enabling reusable, self-service data products and seamless integration across cloud and hybrid environments. This role is ideal for someone who values clean architecture, automation, and collaboration, and who is passionate about building data systems that deliver measurable business value About You Missions and main activities The Main Missions Are Design, build, and maintain scalable data pipelines for batch and real-time data processing using ETL frameworks and scripting languages (e.g., Python, SQL). Participate in end-to-end data project delivery, following traditional SDLC, agile, or hybrid methodologies. Work closely with business and technology stakeholders to gather and analyze data requirements, particularly around banking products, transactions, customer analytics, and regulatory reporting. Translate complex business use cases into efficient, normalized and de-normalized data models, optimized for both operational and analytical workloads. Design, implement, and manage data warehouses, data marts, and data integration layers that align with enterprise data architecture. Collaborate with development teams to deploy physical data models and optimize performance for large-scale financial datasets. Ensure all data solutions adhere to data governance, quality, privacy, and metadata management standards. Develop and maintain data documentation such as data dictionaries, lineage diagrams, and technical specifications to support business, audit, and compliance needs. Support data lineage, metadata, and data quality initiatives to improve data transparency and trust. Provide data-driven support to business users, while proactively identifying and communicating IT-related challenges or issues. Communicate insights and technical concepts effectively to both technical and non-technical stakeholders through presentations, reports, and documentation.

Experience Total minimum professional

working experience of 5-6 years

. Experience working with large datasets in platforms such as Greenplum, Hadoop, Oracle, or DB2, Mongo DB. Familiarity with dashboarding tools like Tableau, Power BI, or SAS VA. Experience in shell/batch scripting, application packaging, and deployment across DEV to PROD environments. Skilled in change management, service request handling, and maintenance reporting. Strong capabilities in data modelling (logical and physical) for banking, risk, compliance, and analytics use cases. Deep understanding of relational and dimensional modelling, data warehousing concepts, and data integration techniques. Solid SQL skills, with experience in managing large, complex financial datasets.

Technical Skills Proficient in Python and experienced in building scalable ETL/ELT pipelines using Spark. Strong SQL skills with hands-on experience working with large-scale datasets and data warehousing solutions. Familiar with big data technologies such as Hadoop, Hive, and Spark, and data modeling (including dimensional and schema design). Experience working with cloud platforms, especially AWS (e.g., Glue, Redshift, RDS, S3), and basic knowledge of IAM, VPC, and security configurations. Hands-on with Linux environments, shell scripting, and AWS CLI for automation and resource management. Comfortable working with a variety of database types – SQL, NoSQL, and data lakes. Exposure to tools like Terraform, or Talend is a plus. Familiar with data visualization tools such as QuickSight, Qlik, or Tableau. Experience writing clean, production-grade code and maintaining clear, structured data pipeline documentation.

Soft Skills Demonstrate strong analytical and technical problem-solving skills by leveraging the latest trends in technologies. Handle ambiguity and be able to move forward with imperfect information and get things done in a rapidly changing environment. Must be comfortable working in an environment where ideas are challenged. Should possess good product instinct and excellent project management skills to push projects over the finish line with sound planning and persistent execution. Excellent communication, presentation, and conflict resolution skills

Education And Certifications Bachelor's degree, Software Engineering, or equivalent work experience Professional Cloud Certifications (AWS/Azure/GCP) Relevant certifications are preferred, such as : AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate Microsoft Certified: Azure Data Engineer Associate Google Cloud Professional Data Engineer Databricks Data Engineer Associate/Professional Cloudera Certified Data Engineer (if applicable)

You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas. What We Offer Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). Professional Development: training programs and upskilling/re-skilling opportunities. Career Growth: Internal growth and mobility opportunities within Orange. Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. Reward Programs: Employee Referral Program, Change Maker Awards.

Only Your Skills Matter Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.