Data Cleansing Specialist jobs in London
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- Evi Technologies Limited - C67London
- When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions.
- A day in the life.
View similar jobs with this employerJAA-Jones Lang LaSalle LimitedLondon E14 5GX- Guide the data ownership teams to establish data governance on each service line.
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- Royal Bank of CanadaLondon EC2M
- Formal qualification in data governance, data management, or data modelling.
- Solid grasp of data management principles, data flow, and governance policies.
- Vantage PointLondon EC4N 6HN
- Define and execute data cleansing and enrichment processes.
- Proven experience leading supplier or vendor master data cleansing activities.
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- CDP GlobalLondon EC3N
- Employee assistance programme
- Company pension
- Support and develop data cleansing solutions to address quality issues.
- This role focuses on promoting good data practices and helping teams improve data…
- View all CDP Global jobs - London jobs - Quality Specialist jobs in London
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- Wunderman Thompson MAPLondon
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
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- Wunderman Thompson MAPLondon
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
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- Wunderman Thompson MAPLondon
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
- Experience in Spark, Python, Scala.
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- TPXImpactLondon SE1
- Employee assistance programme
- Company pension
- Cycle to work scheme
- Proven experience in data engineering, data integration and data modelling.
- Work with data analysts, engineers and data science and AI specialists to design and…
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- DAINTTALondon
- Referral programme
- Annual leave
- Employee discount
- Employee assistance programme
- Company pension
- Paid volunteer time
- Integrating, consolidating and cleansing data.
- You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can…
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- Salary Search: Data Engineer salaries in London
- You will manage data cleansing processes, oversee data ingestion through systems such as Microsoft Admin Centre (MAC) and MODIS, and continuously monitor and…
Job Post Details
Data Quality Specialist - German, AGI Data Services - G T Quality - job post
3.53.5 out of 5 stars
London
Full-time
You must create an Indeed account before continuing to the company website to apply
Job details
Job type
- Full-time
Location
London
Full job description
DESCRIPTION
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations.
Key job responsibilities
A day in the life
Primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations.
Key job responsibilities
- Define and implement quality metrics for established workflows
- Create prescriptive actions for quality issues
- Partner with customers, operations and internal support teams to optimize workflow quality
- Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
- Analyze data trends and develop solutions
- Monitor quality performance and coach operations teams
- Create and maintain quality metrics reports
- Handle customer escalations and recommendations
- Evaluate and suggest improvements for quality tools
- Support process documentation and implementation
A day in the life
Primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
BASIC QUALIFICATIONS
- Speak, write, and read fluently in German
- Advanced-level proficiency in German language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)
- Intermediate-level proficiency in English (B2+ or equivalent fluency by CEFR standards)
- 1+ years of experience in a quality assurance, quality control, or data quality role
- Experience defining, tracking, and reporting quality metrics or KPIs
- Strong analytical and problem-solving skills with the ability to identify root causes and develop prescriptive actions
- Experience working with data to identify trends, patterns, and quality issues
- Ability to create and maintain process documentation, SOPs, or quality guidelines
PREFERRED QUALIFICATIONS
- Bachelor's degree in a relevant field (e.g., Linguistics, Data Science, Business, or related discipline)
- Experience applying structured quality methodologies (e.g., DMAIC, 5 Whys, Fishbone/Ishikawa analysis, or Six Sigma principles)
- Experience partnering with cross-functional stakeholders (operations, customers, or program managers) to drive quality improvements
- Demonstrated ability to build or improve quality frameworks, audit processes, or feedback loops
- Experience coaching or providing quality feedback to operations or associate-level teams
- Proficiency in data analysis tools (e.g., Excel, SQL, or BI tools) to support quality reporting and trend analysis
- Ability to adapt to fast-paced environments with evolving workflows, priorities, and quality targets
- Experience in machine learning data operations, annotation quality, or content review workflows
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