19 open jobs on The Stack list Data quality as a key skill. They come from 11 companies in 11 countries, and 19 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data quality in its key skills. We do not guess skills from the job title.
What you'll do: Collaborate with stakeholders to translate requests into clear business problems, assess data availability, and transform raw data into clean datasets. Design data models, build MVP dashboards, and iterate based on user feedback while…
What they ask for: Degree in Maths, Economics, Statistics or related STEM field and at least 2 years of BI experience. Proficient in data visualization tools (Power BI, Tableau), data transformation, and data modeling; strong analytical and communication…
What you'll do: You will build and maintain robust data pipelines and models in BigQuery to support internal reporting, machine learning, and financial processes. Additionally, you will optimize data warehouse performance and costs while defining best…
What they ask for: Candidates should have experience with data modeling, ETL projects, and big data technologies. You must be proficient in SQL and comfortable with general data warehousing concepts.
What you'll do: Lead the data architecture strategy across complex SAP S/4HANA transformation programmes to establish scalable and AI-ready data foundations. Partner with enterprise leaders to design enterprise data solutions and ensure data is treated as…
What they ask for: Requires extensive experience leading enterprise data architecture across multiple SAP S/4HANA transformation programmes. Candidates must possess deep expertise in SAP data portfolios and the ability to engage executive stakeholders…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: You will drive the technical architecture of the supplier domain and build software using agentic AI tools throughout the development lifecycle. You will collaborate with cross-functional teams to redefine development workflows and ensure…
What they ask for: The role requires solid experience in cloud-native application development and a proven track record of driving AI engineering transitions. Candidates must possess strong programming skills, preferably in C# and .NET, along with expertise…
What you'll do: You will design and build an ELT platform that supports data pipelines and data products while establishing engineering best practices. You will also collaborate with cross-functional teams to ensure data trustworthiness, scalability, and…
What they ask for: The role requires strong experience in data engineering, specifically with Azure and Databricks, alongside proficiency in Python and SQL. Candidates must demonstrate solid software engineering practices, including version control…
What you'll do: You will build and maintain integrations with security and observability tools while developing pipelines to ingest and transform security data. You will also collaborate with security engineers to ensure reliable data flows and…
What they ask for: The role requires experience in software development, testing, and debugging, along with familiarity with data engineering concepts and API management. Candidates should possess strong communication skills and the ability to investigate…
What you'll do: You will be responsible for hands-on data integration, engineering, and analysis across the infrastructure portfolio. This includes building repeatable pipelines, creating data models, and developing dashboards to support decision-making…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and analytical tools to provide actionable decision…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and decision-support tools to replace manual…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is…
What you'll do: Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data. Develop workflows for data ingestion, synchronization, transformation, curation, and quality validation.
What they ask for: Requires strong hands-on Python and SQL skills with solid production software-engineering fundamentals. Candidates must have experience designing and operating large-scale distributed data systems and workflow-orchestration technologies.
What you'll do: Define and implement statistically rigorous metrics to evaluate data quality, label accuracy, and model performance for autonomous driving systems. Collaborate with cross-functional teams to integrate these quality standards into platform…
What they ask for: Requires strong foundations in classical statistics and practical experience with data quality, annotation modelling, or human-in-the-loop machine learning systems. Proficiency in Python and SQL is essential for analyzing large, complex…
What you'll do: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The role requires strong proficiency in Python and SQL, with a proven track record of managing dbt at scale. You must possess excellent problem-solving skills and a community-oriented mindset to influence and support data practitioners.
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
What you'll do: You will design, build, and maintain data pipelines and models to integrate information across a large infrastructure portfolio. Additionally, you will create dashboards and analytical tools to provide decision support for programme…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information from various sources across the infrastructure portfolio. Additionally, you will develop dashboards, metrics, and data models to provide actionable…
What they ask for: Candidates must hold a university degree in a relevant field such as data science, computer science, or engineering. You are required to have at least three years of experience in data integration and engineering, along with hands-on…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will collaborate with stakeholders to develop data models, dashboards, and…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: Design, develop, and maintain scalable data pipelines while ensuring high data quality across various domains. Support the data platform through technical implementation, data integrations, and collaboration with analytic teams.
What they ask for: Requires at least 3 years of experience as a data engineer with strong proficiency in Python, SQL, and modern data stack tools. Candidates should have experience with containerization and distributed data processing frameworks.
