This role offers hands-on experience in enterprise software testing, specifically within Microsoft Dynamics 365 CRM, but lacks clear technical specifications and quantifiable outcomes. The...
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This role offers hands-on experience in enterprise software testing, specifically within Microsoft Dynamics 365 CRM, but lacks clear technical specifications and quantifiable outcomes. The qualification requirements are broad, emphasizing academic backgrounds without specific tech skills or experience. The responsibilities focus on test execution and documentation, but the role does not clearly define technical expertise or performance metrics. While the opportunity to work with CRM systems is attractive, the lack of concrete technical expectations and the absence of clear career progression may limit its appeal to technically oriented candidates. The company’s emphasis on team collaboration and learning is positive, but the role does not stand out in a competitive market for data engineers.
An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd...
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An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd feature rollouts with canary and A/B tests. It demands SQL fluency for metrics and a taste for UI/UX via Figma, plus the political dexterity to harmonize developers, SREs, and business teams. The job blends product design with platform stability, data-driven reviews, and risk-aware project governance, all under agile sprints. What stands out is the rare blend of product leadership for infrastructure at scale; what nags is the potential for bureaucratic drag in a cloud-heavy, vendor-agnostic platform. If you want to own cloud-native UX for a vast marketplace, this is one of the few paths that actually gets you there; otherwise, it’s a slog through governance gates.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
An internship-tilted product analytics role that asks you to collaborate with Product, Engineering, Design, Data and Operations to turn ideas into apps, measure adoption, size impact, and...
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An internship-tilted product analytics role that asks you to collaborate with Product, Engineering, Design, Data and Operations to turn ideas into apps, measure adoption, size impact, and prioritise work. You'll work with Product Managers to use data to understand customer behavior, track KPIs, estimate feature impact, and propose iterations alongside designers and engineers through development cycles. The description is conspicuously short on concrete tools or platforms, which means you’ll be judged on your reasoning and delivery rather than a shiny tech stack. Requirements skew toward Bachelor's or Master's candidates in CS, IS, math, economics, with hands-on development experience a plus; full-time interns preferred, part-time interns welcome with at least three days. The role's cross-functional exposure and real business impact are genuine attractions, but the lack of salary details and company context raises the risk of a transactional internship rather than a career springboard.
This role involves developing automated trading strategies in a fast-paced environment, with a unique focus on FX market-making; a notable risk is the reliance on advanced coding skills in C++ or...
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This role involves developing automated trading strategies in a fast-paced environment, with a unique focus on FX market-making; a notable risk is the reliance on advanced coding skills in C++ or Java. The job offers a chance to contribute directly to the trading system, with the differentiator being its international, collaborative setting. No salary details are provided, leaving it to guesswork.
An internship that sells breadth over depth: you’ll map cross-border ecommerce needs across operations, BI, marketing, and logistics, translate them into BRDs, and oversee feature rollouts with...
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An internship that sells breadth over depth: you’ll map cross-border ecommerce needs across operations, BI, marketing, and logistics, translate them into BRDs, and oversee feature rollouts with business teams. It promises domain expertise and stakeholder chops, with hands-on data analysis as a core duty. The requirements lean on Excel mastery and the ability to manage several projects end-to-end, plus a nod to RESTful API design or system design—an oddly technical breadcrumb for an intern slot. In practice, this looks like a business-analyst-lite role with data-work sprinkled in, not a true data-engineering track. What stands out is the cross-functional exposure and the potential to influence product design early; what’s murky is compensation, career progression, and how deeply the role actually participates in data pipelines.
Skyworks markets a fast-paced, globally collaborative manufacturing role dressed up as data work. The job is essentially yield engineering with a data spine: investigate root causes of yield loss...
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Skyworks markets a fast-paced, globally collaborative manufacturing role dressed up as data work. The job is essentially yield engineering with a data spine: investigate root causes of yield loss in volume semiconductor manufacturing, perform first-level commonality analysis across sort yield, inline metrology and defect data, and deploy yield-enhancement tools for tracking, reporting and analysis. You’ll monitor daily yields, compile daily/weekly/monthly reports, and drive corrective actions with Process and Equipment Engineers. Required tools are practical rather than flashy: Excel, JMP and MATLAB, plus SPC techniques, defect mapping, AOI data and inline metrology. What stands out is tangible impact over buzzwords; you build repeatable analyses for production, not a cloud-native data platform. Opportunity lies in productivity gains and cost savings, but growth is bounded by equipment limits and manufacturing cycles rather than hype.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Careerstart@SAS Program | Training Operations (Education Services) Intern, SINGAPORE
@ sas
SG | 2025-12-24
The SAS Education team seeks a Training Operations Intern to support training program coordination, operational processes, and reporting within a global organization. The role's differentiator is...
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Careerstart@SAS Program | Training Operations (Education Services) Intern, SINGAPORE
sas
(SG) FULL TIME | JOB LISTED
The SAS Education team seeks a Training Operations Intern to support training program coordination, operational processes, and reporting within a global organization. The role's differentiator is exposure to best practices in operational efficiency under the auspices of a renowned data company. A potential risk includes the limited scope typical of internships, potentially impacting long-term career prospects. Salary details are not provided amidst a focus on developmental experience.
Tower Research Capital markets a weekend-support operational role focused on crypto-market workflow, reconciliation, collateral and position management, and daily PnL reporting. The job...
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Tower Research Capital markets a weekend-support operational role focused on crypto-market workflow, reconciliation, collateral and position management, and daily PnL reporting. The job foregrounds high-stakes operational tasks and Excel-driven workflows (VLOOKUPs, Pivot Tables) plus JIRA for issue tracking, with BI-style reporting for senior management. It reads as an operations/data-adjacent post rather than a software engineering or scalable data engineering role; there’s little evidence of programming beyond spreadsheet chores, limited exposure to data pipelines, and no explicit automation mandate. The upside is proximity to a world-class quant platform, deep crypto market exposure, and cross-team collaboration in a fast-paced environment; the downside is weekend-only coverage, potentially brittle manual processes, and a career path that may stall for data engineers seeking scalable, system-level impact. Strong for operational discipline, weak for scalable data engineering traction.
KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows,...
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KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows, preserving chain-of-custody, forensic imaging of devices and cloud stores, malware and log analysis, and translating artefacts into audit-ready findings. You’ll handle Windows and Mac artefacts, draft reports, and support AML/CTF and regulatory-disclosure work. Skills in forensic software, SQL and database basics, and programming in any popular language are prized; cloud familiarity and OS literacy are expected. It’s a client-facing, project-led path with chances to draft proposals and coordinate team delivery. What stands out is the clear emphasis on practical data handling within regulated investigations — but it remains a traditional professional-services route, heavy on documentation, governance, and non-trivial compliance risk, with limited salary clarity disclosed.
The role involves gathering industry trends, supporting regional market strategies, and managing projects across Southeast Asia. A noteworthy feature is the regional scope, which adds complexity,...
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The role involves gathering industry trends, supporting regional market strategies, and managing projects across Southeast Asia. A noteworthy feature is the regional scope, which adds complexity, and a significant risk is the reliance on cross-cultural communication skills. Expect some strategic insights shared without a hint of enthusiasm.
The role positions itself as a cross-border payment software engineering intern at Tencent, offering hands-on experience in real-time financial systems and distributed computing. The job...
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The role positions itself as a cross-border payment software engineering intern at Tencent, offering hands-on experience in real-time financial systems and distributed computing. The job highlights technical challenges in optimizing latency-sensitive backend systems and managing scalable, high-availability architectures. While the opportunity to work with cutting-edge open-source technologies is appealing, the description lacks specific technical details about the tools, frameworks, or specific projects involved. The focus on financial software engineering and the requirement for strong communication skills in Chinese add a layer of practical relevance. However, the lack of explicit salary details and the generic nature of the responsibilities make it difficult to assess the true value of the role. The position appears to be more about experience and exposure than a concrete technical challenge, which may not be ideal for a data engineer seeking meaningful innovation.
This role offers hands-on experience in enterprise software testing, specifically within Microsoft Dynamics 365 CRM, but lacks clear technical specifications and quantifiable outcomes. The qualification requirements are broad, emphasizing academic backgrounds without specific tech skills or experience. The responsibilities focus on test execution and documentation, but the role does not clearly define technical expertise or performance metrics. While the opportunity to work with CRM systems is attractive, the lack of concrete technical expectations and the absence of clear career progression may limit its appeal to technically oriented candidates. The company’s emphasis on team collaboration and learning is positive, but the role does not stand out in a competitive market for data engineers.
An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd feature rollouts with canary and A/B tests. It demands SQL fluency for metrics and a taste for UI/UX via Figma, plus the political dexterity to harmonize developers, SREs, and business teams. The job blends product design with platform stability, data-driven reviews, and risk-aware project governance, all under agile sprints. What stands out is the rare blend of product leadership for infrastructure at scale; what nags is the potential for bureaucratic drag in a cloud-heavy, vendor-agnostic platform. If you want to own cloud-native UX for a vast marketplace, this is one of the few paths that actually gets you there; otherwise, it’s a slog through governance gates.
An internship-tilted product analytics role that asks you to collaborate with Product, Engineering, Design, Data and Operations to turn ideas into apps, measure adoption, size impact, and prioritise work. You'll work with Product Managers to use data to understand customer behavior, track KPIs, estimate feature impact, and propose iterations alongside designers and engineers through development cycles. The description is conspicuously short on concrete tools or platforms, which means you’ll be judged on your reasoning and delivery rather than a shiny tech stack. Requirements skew toward Bachelor's or Master's candidates in CS, IS, math, economics, with hands-on development experience a plus; full-time interns preferred, part-time interns welcome with at least three days. The role's cross-functional exposure and real business impact are genuine attractions, but the lack of salary details and company context raises the risk of a transactional internship rather than a career springboard.
This role involves developing automated trading strategies in a fast-paced environment, with a unique focus on FX market-making; a notable risk is the reliance on advanced coding skills in C++ or Java. The job offers a chance to contribute directly to the trading system, with the differentiator being its international, collaborative setting. No salary details are provided, leaving it to guesswork.
An internship that sells breadth over depth: you’ll map cross-border ecommerce needs across operations, BI, marketing, and logistics, translate them into BRDs, and oversee feature rollouts with business teams. It promises domain expertise and stakeholder chops, with hands-on data analysis as a core duty. The requirements lean on Excel mastery and the ability to manage several projects end-to-end, plus a nod to RESTful API design or system design—an oddly technical breadcrumb for an intern slot. In practice, this looks like a business-analyst-lite role with data-work sprinkled in, not a true data-engineering track. What stands out is the cross-functional exposure and the potential to influence product design early; what’s murky is compensation, career progression, and how deeply the role actually participates in data pipelines.
Skyworks markets a fast-paced, globally collaborative manufacturing role dressed up as data work. The job is essentially yield engineering with a data spine: investigate root causes of yield loss in volume semiconductor manufacturing, perform first-level commonality analysis across sort yield, inline metrology and defect data, and deploy yield-enhancement tools for tracking, reporting and analysis. You’ll monitor daily yields, compile daily/weekly/monthly reports, and drive corrective actions with Process and Equipment Engineers. Required tools are practical rather than flashy: Excel, JMP and MATLAB, plus SPC techniques, defect mapping, AOI data and inline metrology. What stands out is tangible impact over buzzwords; you build repeatable analyses for production, not a cloud-native data platform. Opportunity lies in productivity gains and cost savings, but growth is bounded by equipment limits and manufacturing cycles rather than hype.
Careerstart@SAS Program | Training Operations (Education Services) Intern, SINGAPORE
sas
(SG) FULL TIME | JOB LISTED
The SAS Education team seeks a Training Operations Intern to support training program coordination, operational processes, and reporting within a global organization. The role's differentiator is exposure to best practices in operational efficiency under the auspices of a renowned data company. A potential risk includes the limited scope typical of internships, potentially impacting long-term career prospects. Salary details are not provided amidst a focus on developmental experience.
Tower Research Capital markets a weekend-support operational role focused on crypto-market workflow, reconciliation, collateral and position management, and daily PnL reporting. The job foregrounds high-stakes operational tasks and Excel-driven workflows (VLOOKUPs, Pivot Tables) plus JIRA for issue tracking, with BI-style reporting for senior management. It reads as an operations/data-adjacent post rather than a software engineering or scalable data engineering role; there’s little evidence of programming beyond spreadsheet chores, limited exposure to data pipelines, and no explicit automation mandate. The upside is proximity to a world-class quant platform, deep crypto market exposure, and cross-team collaboration in a fast-paced environment; the downside is weekend-only coverage, potentially brittle manual processes, and a career path that may stall for data engineers seeking scalable, system-level impact. Strong for operational discipline, weak for scalable data engineering traction.
KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows, preserving chain-of-custody, forensic imaging of devices and cloud stores, malware and log analysis, and translating artefacts into audit-ready findings. You’ll handle Windows and Mac artefacts, draft reports, and support AML/CTF and regulatory-disclosure work. Skills in forensic software, SQL and database basics, and programming in any popular language are prized; cloud familiarity and OS literacy are expected. It’s a client-facing, project-led path with chances to draft proposals and coordinate team delivery. What stands out is the clear emphasis on practical data handling within regulated investigations — but it remains a traditional professional-services route, heavy on documentation, governance, and non-trivial compliance risk, with limited salary clarity disclosed.
The role involves gathering industry trends, supporting regional market strategies, and managing projects across Southeast Asia. A noteworthy feature is the regional scope, which adds complexity, and a significant risk is the reliance on cross-cultural communication skills. Expect some strategic insights shared without a hint of enthusiasm.
The role positions itself as a cross-border payment software engineering intern at Tencent, offering hands-on experience in real-time financial systems and distributed computing. The job highlights technical challenges in optimizing latency-sensitive backend systems and managing scalable, high-availability architectures. While the opportunity to work with cutting-edge open-source technologies is appealing, the description lacks specific technical details about the tools, frameworks, or specific projects involved. The focus on financial software engineering and the requirement for strong communication skills in Chinese add a layer of practical relevance. However, the lack of explicit salary details and the generic nature of the responsibilities make it difficult to assess the true value of the role. The position appears to be more about experience and exposure than a concrete technical challenge, which may not be ideal for a data engineer seeking meaningful innovation.
