Job Title Data EngineerJob Description Summary Job Description The Salesforce Data Engineer plays a critical role in enabling seamless data integration, reporting, analytics, and governance across Cushman & Wakefield's Salesforce ecosystem. This individual will focus on designing and executing scalable data solutions to ensure high-quality, reliable data that drives business insights and collaboration. As a technical expert, the Data Engineer will work across teams to address complex data challenges, automate workflows, and support integration with external systems. Also helps in developing Automation scripts and workflows to streamline data processing tasks within Salesforce. Job Description Responsibilities: - Data Strategy Execution: Implement and optimize data integration pipelines to support business development, analytics, and collaboration needs. - Data Quality Management: Monitor and maintain data accuracy, identify, and resolve issues, and enforce governance standards to uphold Salesforce data integrity. - Integration and Migration: Develop and manage workflows for migrating data from various sources, including CRM systems, databases, and spreadsheets, into Salesforce using tools such as Data Loader and APIs. - Third-party Integration: Contribute thought leadership to the development and evolution of Digital Enablement methodologies and build the framework and infrastructure to provide connectivity (APIs) to core business applications (Salesforce) using ZoomInfo, Ring Lead and D&B applications. - Analytics and Reporting: Collaborate with stakeholders to design and implement dashboards, metrics, and reporting solutions for actionable insights. - Automation: Build scripts and solutions to automate data cleansing, transformation, and integration processes. - Support and Troubleshooting: Address data-related tickets and escalations, providing timely solutions to meet business requirements. - Optimization: Identify opportunities for improving data management practices, including integration patterns, performance tuning, and scalability. - Collaboration: Partner with project managers and cross-functional teams to deliver data-driven solutions aligned with business objectives. Qualifications: - 2-3 years of experience in data engineering, integration, or analytics roles, preferably in Salesforce ecosystems. (5+ preferred) - Strong understanding of Salesforce data structures, API integration, and CRM workflows. - Experience designing systems which incorporate data from various systems to make Company data and user contact profiles a plus. - Bachelor’s Degree in Computer Science, Engineering, IT or other related fields - Hands-on experience with ETL tools, Salesforce Data Loader, Workbench, or similar platforms. - Proficient in SQL and data modeling techniques to write complex, highly optimized queries across large volumes of data. - Demonstrated ability to work with large datasets, ensuring quality and consistency. - Proficiency in data visualization tools like Tableau, CRM Analytics, Salesforce Reports or Salesforce Dashboards. - Strong problem-solving and critical-thinking skills. - Excellent written and verbal communication abilities. Preferred Skills: - Experience with external data integration platforms (e.g., MuleSoft, Informatica, or Dell Boomi). - Familiarity with programming languages (e.g., SQL, SOQL, JavaScript) for data manipulation and automation. - Knowledge of cloud-based data storage and processing platforms like AWS, Azure, or Google Cloud. Business Experience: - Proven success in working within customer-centric organizations, delivering scalable and customer-focused solutions. - Adept at juggling multiple assignments and meeting aggressive timelines within dynamic environments. Skills & Personal Qualities: - Collaborative mindset with a proactive approach to identifying and resolving challenges. - Strong service orientation and commitment to enabling data-driven decision-making. - Comfort with working in a fast-paced and evolving business landscape. INCO: “Cushman & Wakefield”

CTG is seeking a skilled AVEVA PI System Engineer to join our client’s team. This role focuses on integrating and managing industrial data across operational technology (OT) and IT systems, supporting mission-critical power plant and industrial environments. Location: RemoteDuration: 12 months What You’ll Do: - Implement, configure, and support AVEVA PI System components, including PI Interfaces, Connectors, and Integrators - Collaborate with OT teams on power plant control systems, including Ovation, to ensure seamless data capture and reporting - Design and maintain industrial data flows using protocols such as OPC, Modbus, and DNP - Troubleshoot and resolve system issues, performing root cause analysis and applying corrective solutions - Ensure proper integration of OT data into enterprise IT systems, maintaining accurate and secure information flows - Maintain system documentation, data models, and integration workflows to support long-term reliability Required Skills: - Deep experience with AVEVA PI System, including Interfaces, Connectors, and Integrators - Strong background in Operational Technology, particularly power plant control systems like Ovation - Hands-on experience with industrial communication protocols (OPC, Modbus, DNP) - Understanding of IT/OT system integrations and data flow architecture - Excellent troubleshooting, critical thinking, and attention to detail Experience: - Demonstrated experience implementing and supporting AVEVA PI Systems in industrial or energy sectors - Proven ability to integrate OT data into enterprise IT environments - Prior work with industrial protocols and control systems in power generation or similar industries Education: - Bachelor’s degree in Electrical Engineering, Computer Science, Industrial Automation, or related field preferred, or equivalent experience Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role. To Apply:To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Nicole Shaw at Nicole.Shaw@ctg.com. Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $60.00 to $67.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

Data Quality Engineer, AI Business Team: Client Services Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You’ll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution—enabling faster launches without compromising trust as task types and volumes evolve. What You’ll Be Doing - Own end-to-end quality design for Prolific managed service studies, including rubrics, acceptance criteria, defect taxonomies, severity models, and clear definitions of done. - Define, implement, and maintain quality measurement systems, including sampling plans, golden sets, calibration protocols, agreement targets, adjudication workflows, and drift detection. - Build and deploy automated quality checks and launch gates using Python and SQL, such as schema and format validation, completeness checks, anomaly detection, consistency testing, and label distribution monitoring. - Design and run launch readiness processes, including pre-launch checks, pilot calibration, ramp criteria, full-launch thresholds, and pause/rollback mechanisms. - Partner with Product and Engineering to embed in-study quality controls and authenticity checks into workflows, tooling, and escalation paths. - Write and continuously improve guidelines and training materials to keep participants, reviewers, and internal teams aligned on evolving quality standards. - Investigate quality and integrity issues end to end, running root-cause analysis across guidelines, UX, screening, training, and operations, and driving corrective and preventive actions (CAPAs). - Build dashboards and operating cadences to track defect rates, rework, throughput versus quality trade-offs, integrity events, and SLA adherence. - Lead calibration sessions and coach QA leads and reviewers to improve decision consistency, rubric application, and overall quality judgement. - Translate one-off quality fixes into repeatable, scalable playbooks across customers, programs, and study types. What You’ll Bring to the Role - 5+ years of experience in quality engineering, data or annotation quality, analytics engineering, trust and integrity, or ML/LLM evaluation operations. - Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence levels, and agreement metrics. - A proven track record of turning ambiguous or messy quality problems into clear metrics, automated checks, and durable process improvements. - Strong quality systems thinking, with the ability to translate complex edge cases into clear rules, tests, rubrics, and governance mechanisms. - Hands-on experience instrumenting workflows and implementing pragmatic automation that catches quality and integrity issues early. - Demonstrated ability to influence cross-functional teams (Product, Engineering, Operations, Client teams) and drive change without direct authority. - Strong customer empathy, with a clear understanding of what “useful, trustworthy data” means for research, AI training, and evaluation use cases. Even Better if you have: - Familiarity with data collection mechanics (screeners, quota/routing constraints, study design patterns). - LLM evals, red teaming, or policy-based annotation experience. - Data/versioning discipline (dataset lineage, change control, reproducibility). - Experience with integrity/fraud detection systems and anti-abuse tooling Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process. Links to More Information Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Data Quality Engineer, AI Business Team: Client Services Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You’ll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution—enabling faster launches without compromising trust as task types and volumes evolve. What You’ll Be Doing - Own end-to-end quality design for Prolific managed service studies, including rubrics, acceptance criteria, defect taxonomies, severity models, and clear definitions of done. - Define, implement, and maintain quality measurement systems, including sampling plans, golden sets, calibration protocols, agreement targets, adjudication workflows, and drift detection. - Build and deploy automated quality checks and launch gates using Python and SQL, such as schema and format validation, completeness checks, anomaly detection, consistency testing, and label distribution monitoring. - Design and run launch readiness processes, including pre-launch checks, pilot calibration, ramp criteria, full-launch thresholds, and pause/rollback mechanisms. - Partner with Product and Engineering to embed in-study quality controls and authenticity checks into workflows, tooling, and escalation paths. - Write and continuously improve guidelines and training materials to keep participants, reviewers, and internal teams aligned on evolving quality standards. - Investigate quality and integrity issues end to end, running root-cause analysis across guidelines, UX, screening, training, and operations, and driving corrective and preventive actions (CAPAs). - Build dashboards and operating cadences to track defect rates, rework, throughput versus quality trade-offs, integrity events, and SLA adherence. - Lead calibration sessions and coach QA leads and reviewers to improve decision consistency, rubric application, and overall quality judgement. - Translate one-off quality fixes into repeatable, scalable playbooks across customers, programs, and study types. What You’ll Bring to the Role - 5+ years of experience in quality engineering, data or annotation quality, analytics engineering, trust and integrity, or ML/LLM evaluation operations. - Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence levels, and agreement metrics. - A proven track record of turning ambiguous or messy quality problems into clear metrics, automated checks, and durable process improvements. - Strong quality systems thinking, with the ability to translate complex edge cases into clear rules, tests, rubrics, and governance mechanisms. - Hands-on experience instrumenting workflows and implementing pragmatic automation that catches quality and integrity issues early. - Demonstrated ability to influence cross-functional teams (Product, Engineering, Operations, Client teams) and drive change without direct authority. - Strong customer empathy, with a clear understanding of what “useful, trustworthy data” means for research, AI training, and evaluation use cases. Even Better if you have: - Familiarity with data collection mechanics (screeners, quota/routing constraints, study design patterns). - LLM evals, red teaming, or policy-based annotation experience. - Data/versioning discipline (dataset lineage, change control, reproducibility). - Experience with integrity/fraud detection systems and anti-abuse tooling Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process. Links to More Information Website Youtube Benefits External Handbook Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.