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Experience Level
Entry Level
Qualifications
Qualifications:Bachelor's degree in a relevant field (e.g., Data Science, Information Technology, Business Administration). Strong analytical and problem-solving skills. Proficiency in data management tools and software. Excellent communication and teamwork abilities. Attention to detail and a commitment to data quality.
About the job
We are seeking a motivated and detail-oriented Data Solutions Associate (DSA) to join our Shared Services Center team at SGS. As a DSA, you will play a crucial role in supporting data management and analysis processes that drive our business insights and operational excellence.
The ideal candidate will have a passion for data, strong analytical skills, and the ability to communicate findings effectively. In this role, you will collaborate with cross-functional teams to ensure data accuracy and contribute to data-driven decision-making.
About SGS
SGS is the world’s leading inspection, verification, testing, and certification company. We are recognized as the global benchmark for quality and integrity. With more than 97,000 employees, we operate a network of over 2,600 offices and laboratories around the world. Join us to help shape a sustainable future through quality assurance and compliance.
Role overview Nice Ltd. is seeking an Associate Data Engineer based in Manila, Philippines. This position plays a key part in supporting data projects that drive business insights and inform decision-making. The role involves working with teams throughout the company to create and deliver data solutions. What you will do Work with colleagues from various dep…
Nice Ltd. is seeking an Associate Data Engineer based in Manila, Philippines. This position plays a key part in supporting data-driven initiatives across the company. Collaboration with teams from various departments is central to the role, with a focus on gathering, analyzing, and interpreting data to inform business decisions. Key responsibilities Collaborate with colleagues from different teams to collect and analyze data Assist in developing and maintaining data pipelines Contribute to efforts that uphold data integrity across company systems Requirements Genuine interest in data engineering and technology Openness to learning and professional growth in a collaborative environment Ability to adapt and work well within a team-oriented, evolving workplace
Join Boldr Inc. as a Data Services Associate and play a pivotal role in our data management team. In this position, you will be responsible for supporting data operations, ensuring data integrity, and assisting in the collection and analysis of vital information. Your keen attention to detail and analytical skills will contribute significantly to our mission of delivering exceptional data solutions.
Join Continental AG as a Master Data Associate / Analyst, where you will play a crucial role in managing and maintaining our master data. This is an exciting opportunity to contribute to our team's success by ensuring data accuracy and integrity across various platforms.
Join SGS as a Data Solutions Associate where you will play a crucial role in managing and optimizing data solutions. In this dynamic position, you will collaborate with various teams to ensure data integrity and support decision-making processes. Your expertise in data management will be essential to drive efficiency and deliver actionable insights.
Join aumovio as a Data Engineer specializing in Manufacturing Data Services. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring data quality, and optimizing data flow across various manufacturing systems. Collaborate with cross-functional teams to leverage data for strategic decision-making and improve operational efficiency.
About WPP MediaWPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.WPP Media is WPP's AI-driven media operating unit, integrating media, data, and partnerships to deliver creative personalization at scale. Connected through WPP Open and powered by Open Intelligence, clients gain clear insights into their media investments.For further details, visit wppmedia.com.
Aumovio is seeking a skilled Data Engineer to join our Manufacturing Data Services team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines that support manufacturing processes. You will collaborate with cross-functional teams to ensure data integrity and availability, enabling data-driven decisions that enhance operational efficiency.
We are seeking a motivated and detail-oriented Data Solutions Associate (DSA) to join our Shared Services Center team at SGS. As a DSA, you will play a crucial role in supporting data management and analysis processes that drive our business insights and operational excellence.The ideal candidate will have a passion for data, strong analytical skills, and the ability to communicate findings effectively. In this role, you will collaborate with cross-functional teams to ensure data accuracy and contribute to data-driven decision-making.
nice seeks a Data Engineer based in Manila, Philippines. The main focus is on creating and maintaining data pipelines that transform raw data into insights for analytics and business intelligence. Key responsibilities Collaborate with teams throughout the company to identify and understand data requirements Design, develop, and maintain data pipelines Support the reliability and availability of data for reporting and analysis Role overview This position plays a central part in making sure data flows smoothly from source to analysis. By working closely with different groups, the Data Engineer helps ensure that business decisions are based on accurate and timely information.
Position: Senior Data EngineerEmployment Type: Full-time; RemoteSchedule: Aligns with US Time ZoneIndustry: Fashion and LifestyleAs a Senior Data Engineer, you will play a pivotal role in the development and expansion of our cutting-edge data platform. This hands-on position requires you to build reliable data pipelines, create data models for analytics, and collaborate closely with cross-functional teams across the business and engineering sectors. You will leverage top-tier technologies such as Snowflake, DBT, FiveTran, and various AWS services to develop effective and scalable data solutions.Key Responsibilities:Design, construct, and maintain scalable ELT/ETL pipelines using tools like FiveTran, DBT, Python, and Snowpipe within Snowflake.Integrate workflows utilizing AWS services, including S3, Lambda, Glue, Athena, and CloudWatch.Administer and optimize Snowflake environments, including user roles, warehouse sizing, access controls, and performance tuning.Develop and maintain dimensional and normalized data models in Snowflake.Implement data transformation logic with DBT and SQL to ensure accuracy and maintainability.Convert raw data into reliable datasets for analytics and operational use.Collaborate with other teams to gather data requirements and deliver appropriate solutions.Ensure data quality, consistency, and security are upheld at all times.Monitor and troubleshoot data pipelines, setting up logging and alerting systems.Engage in code reviews, documentation, and promote best practices in data engineering.Preferred Qualifications:Familiarity with e-commerce platforms like Shopify, NetSuite, or Segment.Experience with Python and BI visualization tools like Looker.Background in e-commerce, SaaS, or financial analytics.Knowledge of orchestration tools such as Airflow or Dagster.Essential Requirements:Bachelor's or Master's degree in Computer Science or a related field.5-7 years of software development experience, with a minimum of 5 years in data or analytics engineering.Proficient in using Snowflake, DBT, FiveTran, and SQL in a production environment.Experience in designing and managing AWS data pipelines.Strong problem-solving and communication skills, with the ability to work cross-functionally.Knowledge of data governance, performance tuning, and security practices.
creatoriq is hiring a Data Engineer in Manila. This position centers on building and maintaining scalable data pipelines to support analytics and reporting. The work directly contributes to how teams access and use data for decision-making. What you will do Design, develop, and maintain data pipelines that handle large volumes of information Support analytics and reporting by ensuring reliable data flows Work with teams across the company to maintain data integrity and availability Collaboration This role involves regular interaction with colleagues from different functions. Expect to coordinate closely to understand data needs and deliver solutions that help the business operate efficiently.
Join our dynamic team as the Associate Director (Pre-Contract) for MEP/CSA in our Data Centre division. In this pivotal role, you will lead the pre-contract processes, ensuring the successful delivery of high-quality projects in a fast-paced environment.Your expertise will be critical in managing project budgets, schedules, and resources, while fostering strong relationships with clients and stakeholders. The ideal candidate will exhibit exceptional leadership skills, a keen eye for detail, and a passion for innovation in the data centre industry.
Full-time|On-site|Taguig, Metro Manila, Philippines
Our MissionAt Datacom, we strive to bridge the gap between technology and people, addressing challenges, unlocking opportunities, and exploring new horizons for the communities in which we operate.Our TeamThe Data and Analytics team is a vibrant collective of innovative and diverse professionals who have a passion for data. We create cutting-edge platforms and solutions that are at the forefront of technological advancements. Our close-knit and dynamic team is part of the rapidly expanding Professional Services division within the broader Datacom ecosystem.About the RoleAs a Senior Data & Analytics Engineer, you will spearhead the technical implementation of large-scale data platforms and business intelligence solutions. You will be responsible for designing, developing, and overseeing the delivery of comprehensive Data Platform solutions and their end-to-end components. Collaboration with principal consultants, practice leaders, project managers, and client stakeholders will be key in this client-facing role, where exceptional communication skills and interpersonal abilities are paramount.Key ResponsibilitiesEngage with clients (business users) to gather and clarify requirements and business rules by conducting workshops with stakeholders.Contribute to the technical architecture, design, and delivery of new data platforms.Provide strategic thought leadership to clients regarding data profiling and integration strategies.Execute data modeling (both relational and dimensional).Manage the development lifecycle using various source code management tools.Optimize performance and tuning for new and existing data warehouse solutions.Deliver comprehensive documentation, user training, and knowledge transfer services to clients and internal teams.
Join our dynamic team as a Data Engineer, where you will collaborate closely with product teams and business stakeholders to drive the success of various data initiatives. In this fast-paced and deadline-oriented environment, your ability to deliver high-quality data solutions will be paramount. You will not only develop and implement data applications but also automate processes to minimize human intervention. Your expertise will be critical in maintaining our data applications and ensuring they meet the evolving needs of the business.Key Responsibilities:Design, develop, and maintain robust ELT solutions within our Snowflake data warehouse.Work collaboratively with both internal and external partners to facilitate product enhancements.Create detailed design and unit testing documentation as necessary.Analyze business requirements critically, architecting and implementing effective data solutions.Establish and uphold standards and processes to optimize ETL solutions.Ensure production maintenance tasks are performed efficiently.Partner with the product manager to identify and address gaps in product capabilities.Propose innovative solutions that deliver a competitive edge to the organization.Communicate effectively with both technical teams and business stakeholders.Provide mentorship to junior offshore developers to achieve project goals.Continuously refine and improve data engineering best practices.
Schedule: Mid ShiftThe Role:Join Arch Insurance International, an innovative and rapidly expanding insurance firm, as we deliver comprehensive underwriting solutions across a diverse portfolio of over 20 business classes. We operate in premier markets including London, the Lloyd’s market, the UK regional markets, and regions in Australia, Bermuda, and the EU.In the last three years, our gross written premiums surged from $783 million to $2 billion, and we aim to sustain this growth trajectory. Recently, we were honored as the Top Large Insurance Employer in the Insurance Business UK Survey.To support our ambitions, we are making substantial investments in data analysis and management, exemplified by the establishment of our Chief Data Office.Ensure the accuracy, completeness, and reliability of our Party, Risk, and Reference master data to facilitate seamless downstream processes and analytics.Quickly resolve MDM (Master Data Management) inquiries, mitigate recurring issues, and promote ongoing enhancements in data quality within Stibo STEP.Key Responsibilities:Primary Contact for MDM Queries: Manage, investigate, and collaborate with both GSO and Onshore operations teams to address incoming issues and requests, including suspected duplicates, attribute corrections, and reference data updates. Ensure end-to-end ownership of cases, including stakeholder communications and closure documentation.Data Cleansing Initiatives: Collaborate with Operations teams in GSO and Onshore to strategize and execute targeted cleansing sprints for Party, Risk, and Reference domains (deduplication, standardization, survivorship fixes, and enrichment). Monitor progress and outcomes.Stibo STEP Operations: Implement stewardship workflows, match/merge activities, maintain golden records, and govern reference data.Data Quality Monitoring: Analyze dashboards/scorecards, identify patterns, and recommend preventive measures (new rules, validations, or process modifications).Change and Release Support: Assist in validating data model or rule changes in lower environments; support User Acceptance Testing (UAT) and cutover tasks impacting master data.Documentation and Knowledge Management: Develop and maintain “how-to” guides, FAQs, and known-issue playbooks for common MDM requests.
This Data Engineer position at Encora is based in BGC, Makati. The role is contract-based, with the possibility of regularization, and requires onsite work two days each week. Candidates should bring 4 to 6 years of relevant experience. Role overview The Data Engineer will design and maintain data pipelines, ensuring efficient data ingestion from multiple sources into the data warehouse. The role includes optimizing existing pipelines to meet service level agreements, supporting Agile teams, and maintaining the integrity and quality of warehouse data. Regular collaboration with other data engineers and stakeholders is expected, especially when troubleshooting or investigating data issues. Key responsibilities Develop and implement data pipelines for ingesting data into the warehouse. Improve and optimize pipelines to meet SLAs and downstream requirements. Participate in Agile ceremonies and support data ingestion needs. Maintain data quality and integrity in warehouse tables. Follow data engineering standards for code versioning, readability, and deployment. Support L2 Data Operations and act as L3 support as needed. Manage data storage, computing, and security within the warehouse. Gather requirements from various teams and assist other data engineers across domains. Demonstrate technical expertise in the data warehouse platform. Troubleshoot and investigate data-related issues for stakeholders. Requirements Bachelor's degree in Computer Science, Information Management, or a related field. 4-6 years of experience in SQL and ETL development, with a focus on Data Warehousing, Business Intelligence, or Data Delivery. Strong skills in optimizing data pipelines for SLA compliance and cost efficiency. Experience with Big Data tools such as Hadoop, EMR, Hive, and cloud platforms is a plus. Programming proficiency in Python, R, Java, or Scala is advantageous. Understanding of data modeling, integration, quality, and architecture is beneficial. Experience with AWS data integrations (Glue, Athena) is preferred. Familiarity with Spark, Databricks, Delta Lake, Data Lake, Kafka, and real-time data processing is helpful. Work arrangement Location: BGC, Makati Onsite work required two days per week Contract role, subject to regularization
Full-time|On-site|Taguig, Metro Manila, Philippines
Qodea is looking for a Data Engineer to join its team in Taguig, Metro Manila. This role centers on solving complex problems for well-known clients across industries, including names like Google, Snap, Diageo, PayPal, and Jaguar Land Rover. The work goes beyond routine consultancy, focusing on projects that demand creative solutions at the intersection of technology, design, and human behavior. As part of Qodea, you will contribute to projects where innovation and artificial intelligence play a central role. The company values growth and encourages team members to expand their skills alongside advances in technology. What you will do Work with cloud platforms such as GCP, AWS, or Azure Use SQL for data management and analysis Apply Python skills where needed (preferred but not required) Address challenging problems for global clients under tight deadlines Requirements Experience with at least one major cloud platform (GCP, AWS, or Azure) Strong SQL skills Python experience is a plus This Data Engineer position is based in Taguig, Metro Manila. Qodea offers a setting where technical talent can make a real impact while staying current with the latest in innovation and AI.
Join our dynamic team as a Data Engineer II, where you will collaborate closely with product teams and business stakeholders to drive innovative data project initiatives. In this fast-paced role, you will not only develop but also maintain data applications, focusing on automation to minimize human intervention in processes. Your contributions will be pivotal in enhancing our data capabilities and ensuring that our systems operate efficiently.
Are you seeking a rewarding and challenging role that offers opportunities for professional growth? Do you thrive in collaborative environments where teams tackle complex problems and consistently exceed client expectations? If so, 3Cloud could be the perfect fit for you!At 3Cloud, we value innovation and embrace the learning process, encouraging our team members to share honest feedback with one another. We believe in fostering an environment where individuals are motivated to contribute to each other's success and the overall growth of the company. Our commitment to accountability and core values enables us to deliver exceptional experiences and solutions for our clients. Job HighlightsFocus on cutting-edge technology within the Azure ecosystem, offering numerous opportunities for skill enhancement in Microsoft and Azure in a setting dedicated to technical excellence and superior client services.Strong Microsoft Partnerships that provide access to innovative Azure projects and direct collaboration with the teams that developed the platform, opportunities you won't find elsewhere.Attractive compensation package that includes salary, allowances, and standard benefits, along with performance-based bonuses.Flexible working environment and a positive company culture.
